CN110378503A - The method and apparatus for predicting multilayer shuttle shelf production capacity - Google Patents

The method and apparatus for predicting multilayer shuttle shelf production capacity Download PDF

Info

Publication number
CN110378503A
CN110378503A CN201811390998.5A CN201811390998A CN110378503A CN 110378503 A CN110378503 A CN 110378503A CN 201811390998 A CN201811390998 A CN 201811390998A CN 110378503 A CN110378503 A CN 110378503A
Authority
CN
China
Prior art keywords
work station
elevator
wave time
time period
production efficiency
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811390998.5A
Other languages
Chinese (zh)
Other versions
CN110378503B (en
Inventor
魏豫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Qianshi Technology Co Ltd
Original Assignee
Tianjin Jingdong Shentuo Robot Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin Jingdong Shentuo Robot Technology Co Ltd filed Critical Tianjin Jingdong Shentuo Robot Technology Co Ltd
Priority to CN201811390998.5A priority Critical patent/CN110378503B/en
Publication of CN110378503A publication Critical patent/CN110378503A/en
Application granted granted Critical
Publication of CN110378503B publication Critical patent/CN110378503B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

The invention discloses a kind of method and apparatus for predicting multilayer shuttle shelf production capacity, are related to warehouse logistics field.One specific embodiment of this method includes: to determine that be averaged production efficiency, current mechanism of the work station of history wave time period is averaged production efficiency, the average production efficiency of current elevator according to history wave time data;Prediction is averaged production efficiency, work station production capacity and elevator production capacity when the work station of next wave time period of prewave time;Multilayer shuttle shelf production capacity predicted value by the minimum value in the work station production capacity and elevator production capacity of next wave time period, as next wave time period.The embodiment comprehensively considers history production efficiency and current production efficiency, so overcome in the prior art as excessively rely on the peak value of the sorting ability in historical data and caused by production capacity the not high problem technical problem of precision of prediction, and then it is more acurrate to reach prediction production capacity result.

Description

The method and apparatus for predicting multilayer shuttle shelf production capacity
Technical field
The present invention relates to warehouse logistics field more particularly to a kind of methods and dress for predicting multilayer shuttle shelf production capacity It sets.
Background technique
Article is transported to by multilayer shuttle shelf using automation shuttle, elevator from the storage space of the shelf of multilayer It sorts work station (hereinafter referred to as work station), work station sorts production for carrying out outbound, can be divided into and manually sort work It stands, robotic pick work station, robotic pick abnormal work station.Multilayer shuttle shelf production capacity refer to transporting capacity and Sorting ability.It is the peak value for counting the sorting ability in area, robot daily according to historical data, i.e., in existing AOF calculation Then the sorting number of packages of each work station per minute is multiplied to obtain current according to current wave time remaining time with work station number Production capacity.In simple terms, the method for production capacity is calculated in the prior art are as follows: current production capacity=each per minute The sorting number of packages (peak value of the sorting ability in area, robot) of work station * current wave time remaining time * work station number.
In realizing process of the present invention, at least there are the following problems in the prior art for inventor's discovery:
1. peak value is a kind of perfect condition, and is attained by history in unreality since historical data has stationarity Peak situation.
2. the abnormal conditions of currently associated equipment cannot be predicted, the precision of prediction that will cause production capacity is not high.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of method and apparatus for predicting multilayer shuttle shelf production capacity, energy It is enough to solve the peak value for excessively relying on the sorting ability in historical data and the abnormal conditions that currently associated equipment be predicted The not high problem of the precision of prediction of production capacity caused by and.
To achieve the above object, according to an aspect of an embodiment of the present invention, a kind of prediction multilayer shuttle shelf are provided The method of production capacity, comprising:
According to history wave time data, determine that be averaged production efficiency, current mechanism of the work station of history wave time period is put down Equal production efficiency, the average production efficiency of current elevator;
Effect is averagely produced according to the be averaged work station of production efficiency, the history wave time period of the current mechanism Rate, prediction are averaged production efficiency when the work station of next wave time period of prewave time;
The be averaged average production of production efficiency, the current elevator of work station based on next wave time period is imitated The secondary duration of rate, next wave, work station quantity, elevator quantity predict that the work station of next wave time period is raw Production capacity power and elevator production capacity;
By the minimum value in the work station production capacity and elevator production capacity of next wave time period, as under The multilayer shuttle shelf production capacity predicted value of one wave time period.
Optionally, according to the current mechanism be averaged production efficiency, the history wave time period work station it is average Production efficiency, prediction are averaged production efficiency when the work station of next wave time period of prewave time, comprising:
According to the period when prewave time, determine that the work station of history wave time period identical with the period is averagely raw Efficiency is produced, and the work station of history wave time period identical with next wave time period when prewave time averagely produces effect Rate;
Work when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1) Make stand average production efficiency q (t+1);
Wherein, ql (t+1) indicates the work of history wave time period identical with next wave time period when prewave time It stands average production efficiency, ql (t) indicates that the work station of history wave identical with the period secondary period is averaged production efficiency, q ' (t) indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary Period.
Optionally, be averaged production efficiency, the current elevator of work station based on next wave time period is put down Equal production efficiency, the duration of next wave time, work station quantity, elevator quantity predict next wave time period Work station production capacity and elevator production capacity, comprising:
The work station of next wave time period be averaged production efficiency, next wave secondary duration, work station quantity Product, the work station production capacity as next wave time period;
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper Elevator production capacity of the product of number of packages amount as next wave time period.
Optionally, according to the current mechanism be averaged production efficiency, the history wave time period work station it is average Production efficiency, prediction after the work station of next wave of prewave time secondary period is averaged production efficiency, the method also includes:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction;
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction;
It is total using accounting p1=1-m/ shuttle to determine the shuttle in normal condition, and in normal condition Elevator uses accounting p2=1-n/ elevator sum;
The be averaged average production of production efficiency, the current elevator of work station based on next wave time period is imitated The secondary duration of rate, next wave, work station quantity, elevator quantity predict that the work station of next wave time period is raw Production capacity power and elevator production capacity, comprising:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time time is calculated The work station production capacity Wq of section;
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time;
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper The product of number of packages amount, the elevator production capacity Cq as next wave time period.
Optionally, by the minimum in the work station production capacity and elevator production capacity of next wave time period It is worth, after the multilayer shuttle shelf production capacity predicted value as next wave time period, the method also includes:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, in normal condition Shuttle the product of accounting is used using accounting and elevator in normal condition, as when prewave time remaining time section Work station production capacity W0q;
By the average production efficiency of current elevator, being averaged when prewave time residual time length, elevator quantity and hopper The product of option quantity, as the elevator production capacity C when prewave time remaining time section0q;
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity when prewave time remaining time section Predicted value.
Optionally, by the minimum in the work station production capacity and elevator production capacity of next wave time period Value, the multilayer shuttle shelf production capacity predicted value as next wave time period, comprising:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined;
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period, when determining the history wave time Between section multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity of the history wave time period it is real The ratio of actual value, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period;
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time;
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq, Cq the work station production capacity Wq and the elevator of next wave time period for) indicating next wave time period produce energy Minimum value in power Cq.
Optionally, according to history wave time data, determine that the current mechanism production efficiency that is averaged includes:
The history wave time data include the production quantity Sg of work station in the set period of time from current time forward Duration T ' the g of unbound order status is in work station;
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate set period of time from current time forward when It is long;
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
Optionally, according to history wave time data, determine that the average production efficiency of current elevator includes:
The history wave time data include the lift tank number Sj of elevator in the set period of time from current time forward The duration Tj in running order with elevator;
Production efficiency=Sj/Tj of elevator;
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
To achieve the above object, it is raw to provide a kind of prediction shuttle shelf for other side according to an embodiment of the present invention The device of production capacity power, comprising:
Efficiency determination module is used for: according to history wave time data, determining that the work station of history wave time period averagely produces Efficiency, current mechanism are averaged production efficiency, the average production efficiency of current elevator;
EFFICIENCY PREDICTION module, is used for: being averaged production efficiency, the history wave time period according to the current mechanism Work station is averaged production efficiency, and prediction is averaged production efficiency when the work station of next wave time period of prewave time;
The quasi- prediction module of production capacity, is used for: the work station based on next wave time period be averaged production efficiency, described work as The secondary duration of the average production efficiency of preceding elevator, next wave, work station quantity, elevator quantity, are predicted described next The work station production capacity and elevator production capacity of wave time period;
Predicted value determining module, is used for: the work station production capacity of next wave time period and elevator are produced Minimum value in ability, the multilayer shuttle shelf production capacity predicted value as next wave time period.
Optionally, EFFICIENCY PREDICTION module is also used to:
According to the period when prewave time, determine that the work station of history wave time period identical with the period is averagely raw Efficiency is produced, and the work station of history wave time period identical with next wave time period when prewave time averagely produces effect Rate;
Work when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1) Make stand average production efficiency q (t+1);
Wherein, ql (t+1) indicates the work of history wave time period identical with next wave time period when prewave time It stands average production efficiency, ql (t) indicates that the work station of history wave identical with the period secondary period is averaged production efficiency, q ' (t) indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary Period.
Optionally, the quasi- prediction module of production capacity is also used to:
The work station of next wave time period be averaged production efficiency, next wave secondary duration, work station quantity Product, the work station production capacity as next wave time period;
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper Elevator production capacity of the product of number of packages amount as next wave time period.
Optionally, described device further includes fault statistics module, is used for:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction;
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction;
It is total using accounting p1=1-m/ shuttle to determine the shuttle in normal condition, and in normal condition Elevator uses accounting p2=1-n/ elevator sum;
The quasi- prediction module of production capacity is also used to:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time time is calculated The work station production capacity Wq of section;
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time;
By the average choosing of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper The product of number of packages amount, the elevator production capacity Cq as next wave time period.
Optionally, predicted value determining module is also used to:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, in normal condition Shuttle the product of accounting is used using accounting and elevator in normal condition, as when prewave time remaining time section Work station production capacity W0q;
By the average production efficiency of current elevator, being averaged when prewave time residual time length, elevator quantity and hopper The product of option quantity, as the elevator production capacity C when prewave time remaining time section0q;
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity when prewave time remaining time section Predicted value.
Optionally, predicted value determining module is also used to:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined;
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period, when determining the history wave time Between section multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity of the history wave time period it is real The ratio of actual value, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period;
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time;
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq, Cq the work station production capacity Wq and the elevator of next wave time period for) indicating next wave time period produce energy Minimum value in power Cq.
Optionally, efficiency determination module is also used to:
The history wave time data include the production quantity Sg of work station in the set period of time from current time forward Duration T ' the g of unbound order status is in work station;
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate set period of time from current time forward when It is long;
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
Optionally, efficiency determination module is also used to:
The history wave time data include the lift tank number Sj of elevator in the set period of time from current time forward The duration Tj in running order with elevator;
Production efficiency=Sj/Tj of elevator;
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
To achieve the above object, another aspect according to an embodiment of the present invention, provides a kind of electronic equipment, comprising: One or more processors;Storage device, for storing one or more programs, when one or more of programs are by described one A or multiple processors execute, so that one or more of processors realize that prediction multilayer provided in an embodiment of the present invention shuttles The method of shelf production capacity.
To achieve the above object, another aspect according to an embodiment of the present invention provides a kind of computer-readable medium, It is stored thereon with computer program, realizes that prediction multilayer provided in an embodiment of the present invention shuttles when described program is executed by processor The method of shelf production capacity.
One embodiment in foregoing invention has the following advantages that or the utility model has the advantages that because comprehensively considers history production efficiency With current production efficiency, so overcome in the prior art due to excessively relying on the peak value of the sorting ability in historical data and Caused by production capacity the not high problem technical problem of precision of prediction, and then reach the multilayer shuttle shelf production capacity of prediction As a result more acurrate.
Further effect possessed by above-mentioned non-usual optional way adds hereinafter in conjunction with specific embodiment With explanation.
Detailed description of the invention
Attached drawing for a better understanding of the present invention, does not constitute an undue limitation on the present invention.Wherein:
Fig. 1 is the signal of the basic procedure of the method for prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention Figure;
Fig. 2 is the production end time schematic diagram of each wave according to an embodiment of the present invention time;
Fig. 3 is the predicted value of history wave according to an embodiment of the present invention time and the contrast curve chart of actual value;
Fig. 4 is the signal of the basic module of the device of prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention Figure;
Fig. 5 is that the embodiment of the present invention can be applied to exemplary system architecture figure therein;
Fig. 6 is adapted for the structural representation of the computer system for the terminal device or server of realizing the embodiment of the present invention Figure.
Specific embodiment
Below in conjunction with attached drawing, an exemplary embodiment of the present invention will be described, including the various of the embodiment of the present invention Details should think them only exemplary to help understanding.Therefore, those of ordinary skill in the art should recognize It arrives, it can be with various changes and modifications are made to the embodiments described herein, without departing from scope and spirit of the present invention.Together Sample, for clarity and conciseness, descriptions of well-known functions and structures are omitted from the following description.
Fig. 1 is the signal of the basic procedure of the method for prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention Figure.As shown in Figure 1, the embodiment of the invention provides a kind of methods for predicting multilayer shuttle shelf production capacity, comprising:
Step S101. determines that the work station of history wave time period be averaged production efficiency, currently according to history wave time data Work station is averaged production efficiency, the average production efficiency of current elevator;
Step S102. according to the current mechanism be averaged production efficiency, the history wave time period work station it is flat Equal production efficiency, prediction are averaged production efficiency when the work station of next wave time period of prewave time;
Step S103. is averaged production efficiency, the current elevator based on the work station of next wave time period Average production efficiency, the duration of next wave time, work station quantity, elevator quantity predict next wave time period Work station production capacity and elevator production capacity;
Step S104. is by the minimum in the work station production capacity and elevator production capacity of next wave time period Value, the multilayer shuttle shelf production capacity predicted value as next wave time period.
Wherein, wave is a kind of mode for improving picking operation efficiency, it merges different orders according to certain standard For a wave, a picking is instructed.One wave has wave time period and production end time, belongs to this wave Production end times of all orders be consistent.Fig. 2 is the production end time of each wave according to an embodiment of the present invention time Schematic diagram is the production end time of 7 waves time in figure as shown in Fig. 2, there is within one day 7 waves.
The embodiment of the present invention overcomes the prior art because comprehensively considering history production efficiency and current production efficiency In as excessively rely on the peak value of the sorting ability in historical data and caused by the precision of prediction of production capacity not high ask Technical problem is inscribed, and then the multilayer shuttle shelf production capacity result for reaching prediction is more acurrate.
In the step S101 of the embodiment of the present invention, according to history wave time data, the work of history wave time period is determined It stands average production efficiency, comprising: it counts in each history wave time, time span of work station in the state that workload is saturated, Then it is full in workload to calculate each work station according to above data for sorting number of packages of work station in the state that workload is saturated Sorting efficiency in the state of;Since a multilayer shuttle shelf are to carry out binding production with multiple work stations, so wanting In conjunction with the quantity of work station, the work station for calculating each history wave time period be averaged production efficiency, such as: when history wave is secondary Between the work station production efficiency that is averaged of section 06:00-11:00 be ql (06:00-11:00)=3.4, the history wave time period 11: The work station of 00-12:00 is averaged production efficiency as ql (11:00-12:00)=3.0.Wherein, the state of workload saturation refers to In a period of time, work station is to be completely in the busy stage, will not because order volume is too small and when the busy state of idle, be in work This period of work amount saturation state, calculated work station production efficiency are only more accurately.
In the step S101 of the embodiment of the present invention, according to history wave time data, determine that current mechanism averagely produces effect Rate includes: that the history wave time data include the production quantity Sg of work station in set period of time from current time forward Duration T ' the g of unbound order status is in work station;Production efficiency=Sg/ (Tg-T ' g) of work station, Tg are indicated from working as The duration of set period of time from the preceding moment forward;According to the production efficiency at all working station and work station quantity, determine current Work station is averaged production efficiency.Preferably, it can refer in the set period of time from current time forward and be played from current time Toward the period of previous hour, such as: current time is 11:20, then plays the period of past previous hour just from current time It is 10:20-11:20;It is also possible across wave (adhering to different waves separately) herein, it is intended merely to obtain nearest a period of time Production capacity.The condition of production for inquiring each work station in this period, since obtained production quantity is likely to be not The production capacity of saturation, the duration of all unbound orders of work station that skim obtain work station and are in saturated Time span Tg-T ' g;Or it can find at the beginning of work station binds order every time and complete from history wave time data Time, remaining time are exactly the period for not binding any order.
In the step S101 of the embodiment of the present invention, according to history wave time data, the average production of current elevator is determined Efficiency includes: that the history wave time data include the lift tank number of elevator in set period of time from current time forward The Sj and in running order duration Tj of elevator;Production efficiency=Sj/Tj of elevator;Since a multilayer shuttle shelf are Binding production is carried out with multiple elevators, so also to determine according to the production efficiency and elevator quantity of all elevators The average production efficiency of current elevator.Preferably, can also refer in the set period of time from current time forward here The period toward previous hour is played from current time.
In the step S102 of the embodiment of the present invention, it is averaged production efficiency, the history wave according to the current mechanism The work station of secondary period is averaged production efficiency, and prediction averagely produces effect when the work station of next wave time period of prewave time Rate, comprising: according to the period when prewave time, determine that the work station of history wave time period identical with the period is averagely raw Efficiency is produced, and the work station of history wave time period identical with next wave time period when prewave time averagely produces effect Rate;Work station when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1) Average production efficiency q (t+1);Wherein, ql (t+1) indicate with when next wave of prewave time time period, identical history wave was secondary Between the work station of section be averaged production efficiency, ql (t) indicates that the work station of history wave time period identical with the period is averaged Production efficiency, q ' (t) indicate that current mechanism be averaged production efficiency, and t indicates the period when prewave time, and t+1 indicates to work as prewave Secondary next wave time period.It is compared according to ql (t) in history and current q ' (t), if current production efficiency q ' (t) ratio Efficiency ql (t) with time history is high, then predicts that the production efficiency of next non-incoming wave time also can be higher than history.Such as: when The preceding moment is that 15:00:00 belongs to wave time 12:05-16:00, and next wave time period is 16:00-17:00, so prediction is worked as The work station of next wave time period 16:00-17:00 of prewave time be averaged production efficiency q (16:00-17:00)=(ql (12: 05-16:00)/q′(15:00:00))*ql(16:00-17:00)。
In the embodiment of the present invention, it is contemplated that hardware operating condition, the equipment fault etc. being likely to occur in process of production are asked The generation of topic, the time of failure and the number of devices to break down can all influence the prediction to next wave time production capacity, so It is averagely produced in step S102 according to the be averaged work station of production efficiency, the history wave time period of the current mechanism Efficiency, prediction after the work station of next wave of prewave time secondary period is averaged production efficiency, the method also includes: according to History wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction;Acquisition is currently at event The shuttle quantity m of the barrier state and elevator quantity n for being currently at malfunction;Determine the shuttle for being in normal condition It is total using accounting p2=1-n/ elevator using accounting p1=1-m/ shuttle sum, and the elevator in normal condition Number.
Based on the above embodiment, it is contemplated that the quantity and equipment for the problem device that breaks down are in the duration of malfunction, Work station based on next wave time period in the step S103 of the embodiment of the present invention be averaged production efficiency, described work as premise The average production efficiency of the machine of liter, the duration of next wave time, work station quantity, elevator quantity predict next wave The work station production capacity and elevator production capacity of period, comprising: use formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng calculates the work station production capacity Wq of next wave time period;Wherein, Ng indicates work station number Amount, Tb indicate the duration of next wave time;By the average production efficiency of current elevator, the duration of next wave time, elevator quantity And the product of the average option quantity of hopper, the elevator production capacity Cq as next wave time period.Wherein, expect The average option quantity of case refers to that elevator often goes out a hopper, the average number of articles in hopper;Product between each storehouse Class is different, and the average option quantity difference of the hopper of different storehouses is larger, but the article in same storehouse is all same category, together The average option quantity of the hopper of different elevators is essentially identical in one storehouse.So the embodiment of the present invention is run in view of hardware Situation and part abnormal conditions can more accurately predict following production capacity.
In the step S103 of the embodiment of the present invention, the work station based on next wave time period be averaged production efficiency, The secondary duration of the average production efficiency of the current elevator, next wave, work station quantity, elevator quantity, predict institute State the work station production capacity and elevator production capacity of next wave time period, comprising: by next wave time period Work station is averaged duration, the product of work station quantity of production efficiency, next wave time, the work as next wave time period Make station production capacity;By the flat of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper Elevator production capacity of the product of equal option quantity as next wave time period.It can also indicate are as follows: described next The duration * work station quantity of work station production capacity Wq=q (t+1) the * lower wave time of wave time period;When next wave time Between section the current elevator of elevator production capacity Cq=an average production efficiency ct* lower wave time duration * elevator quantity * The average option quantity of hopper.
Fig. 3 is the predicted value of history wave according to an embodiment of the present invention time and the contrast curve chart of actual value.The present invention is real It applies in the step S104 of example, by the minimum in the work station production capacity and elevator production capacity of next wave time period Value, the multilayer shuttle shelf production capacity predicted value as next wave time period, comprising: as shown in figure 3, according to history wave Data determine the multilayer shuttle shelf production capacity actual value of history wave time period;Obtain the history wave time period Multilayer shuttle shelf production capacity predicted value determines the multilayer shuttle shelf production capacity predicted value of the history wave time period It is more as the history wave time period with the ratio of the multilayer shuttle shelf production capacity actual value of the history wave time period The difference percentage of layer shuttle shelf production capacity;According to the difference percentage, difference hundred is determined in all history waves time Divide than upper quartile P.Such as: a wave time time in the such as morning, what is predicted at that time is 1000, and actually production capacity is 800, illustrate the higher of prediction, difference percentage is exactly 80%, calculate the difference percentage of each history wave time: 80%, 60%, 70%, 80%, taking upper quartile is exactly 80%.The multilayer shuttle shelf production capacity prediction of next wave time period Value Q=P*Min (Wq, Cq), wherein Min (Wq, Cq) indicates work station production capacity Wq and the institute of next wave time period State the minimum value in the elevator production capacity Cq of next wave time period.In all history waves time of traversal, some history There is in the idle time work station in the wave time time, illustrate that workload is unsaturated (order volume is inadequate).If when without the free time Between, that is, illustrate that the wave is saturation;Preferably, the history wave of selection statistics saturation is secondary here.The embodiment of the present invention is according to going through The predicted value and actual value of Shi Boci, to examine the production capacity for adjusting the multilayer shuttle shelf predicted, so that production capacity Precision of prediction is higher.
In the step S104 of the embodiment of the present invention, by the work station production capacity and elevator of next wave time period Minimum value in production capacity, after the multilayer shuttle shelf production capacity predicted value as next wave time period, the side Method further include: by the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, in normal shape The shuttle of state uses the product of accounting using accounting and the elevator in normal condition, as when prewave time remaining time The work station production capacity W of section0q;By the average production efficiency of current elevator, when prewave time residual time length, elevator quantity And the product of the average option quantity of hopper, as the elevator production capacity C when prewave time remaining time section0q;It will be described W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity predicted value when prewave time remaining time section.The present invention is real The multilayer shuttle shelf production capacity predicted value when the remaining time section in prewave time can be predicted in real time by applying example, for storage production Going on smoothly for process provides advantageous reference.
In embodiments of the present invention, it joined the scheme of manual adjustment.Work station quantity is adjusted by field personnel's dynamic Section, real-time change.Productivity ratio column are a regulation button all day, exception or the adjustable percentage of emergency case.System it is pre- Survey always there is error or some artificial factors to lead to inaccuracy, according to artificial experience carry out operation make entire scheme more according to Workability.
Fig. 4 is the signal of the basic module of the device of prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention Figure.As shown in figure 4, the embodiment of the invention provides a kind of devices 400 for predicting shuttle shelf production capacity, comprising:
Efficiency determination module 401, is used for: according to history wave time data, determining that the work station of history wave time period is average Production efficiency, current mechanism are averaged production efficiency, the average production efficiency of current elevator;
EFFICIENCY PREDICTION module 402, is used for: being averaged production efficiency, the history wave time time according to the current mechanism The work station of section be averaged production efficiency, and prediction is averaged production efficiency when the work station of next wave of prewave time secondary period;
The quasi- prediction module 403 of production capacity, is used for: the work station based on next wave time period is averaged production efficiency, institute Duration, the work station quantity, elevator quantity of the average production efficiency of current elevator, next wave time are stated, described in prediction The work station production capacity and elevator production capacity of next wave time period;
Predicted value determining module 404, is used for: the work station production capacity of next wave time period and elevator is raw Minimum value in production capacity power, the multilayer shuttle shelf production capacity predicted value as next wave time period.
In the embodiment of the present invention, efficiency determination module 401 is also used to: the history wave time data include from current time In set period of time forward, the production quantity Sg and work station of work station are in the duration T ' g of unbound order status;Work Production efficiency=the Sg/ (Tg-T ' g) to stand, Tg indicate the duration of the set period of time from current time forward;According to all works Make the production efficiency and work station quantity stood, determines that current mechanism is averaged production efficiency.
In the embodiment of the present invention, efficiency determination module 401 is also used to: the history wave time data include from current time In set period of time forward, the lift tank number Sj and elevator of elevator in running order duration Tj;The life of elevator Produce efficiency=Sj/Tj;According to the production efficiency of all elevators and elevator quantity, the average production effect of current elevator is determined Rate.
In the embodiment of the present invention, EFFICIENCY PREDICTION module 402 is also used to: according to the period when prewave time, when determining with this Between the work station of section identical history wave time period be averaged production efficiency, and with the secondary period phase of next wave when prewave time With the work station of history wave time period be averaged production efficiency;Using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1) It calculates when the work station of next wave time period of prewave time is averaged production efficiency q (t+1);Wherein, ql (t+1) indicate with it is current The work station of next wave time period of wave time identical history wave time period be averaged production efficiency, ql (t) indicate and this when Between the work station of section identical history wave time period be averaged production efficiency, q ' (t) expression current mechanism is averaged production efficiency, T indicates the period when prewave time, and t+1 indicates next wave time period when prewave time.
In the embodiment of the present invention, the quasi- prediction module 403 of production capacity is also used to: the work station of next wave time period is put down Equal production efficiency, the duration of next wave time, the product of work station quantity, the work station production as next wave time period Ability;By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper Elevator production capacity of the product of amount as next wave time period.
In the embodiment of the present invention, described device further includes fault statistics module, is used for: according to history wave time data, being determined Each shuttle and or elevator are in the average duration Tx of malfunction;Obtain the shuttle number for being currently at malfunction The amount m and elevator quantity n for being currently at malfunction;Determine that the shuttle in normal condition uses accounting p1=1-m/ Shuttle sum, and the elevator in normal condition use accounting p2=1-n/ elevator sum.
The quasi- prediction module 403 of production capacity is also used to: using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb- Tx) * Ng calculates the work station production capacity Wq of next wave time period;Wherein, Ng indicates work station quantity, and Tb is indicated The duration of next wave time;By the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper The product of average option quantity, the elevator production capacity Cq as next wave time period.It can also indicate are as follows: described Work station production capacity Wq=q (t+1) * Tx* work station quantity * p1*p2+ql (t+1) * (next wave of next wave time period Secondary duration-Tx) * work station quantity;The current elevator of elevator production capacity Cq=of next wave time period is put down The average option quantity of the duration * elevator quantity * hopper of an equal production efficiency ct* lower wave time.
In the embodiment of the present invention, predicted value determining module 404 is also used to: according to history wave time data, determining history wave The multilayer shuttle shelf production capacity actual value of period;Obtain the multilayer shuttle shelf production energy of the history wave time period Power predicted value determines multilayer shuttle shelf production capacity predicted value and the history wave time time of the history wave time period The ratio of the multilayer shuttle shelf production capacity actual value of section, the multilayer shuttle shelf production capacity as the history wave time period Difference percentage;According to the difference percentage, difference percentage upper quartile P is determined in all history waves time;Under The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of one wave time period, wherein Min (Wq, Cq) indicates institute It states in the work station production capacity Wq and the elevator production capacity Cq of next wave time period of next wave time period Minimum value.
In the embodiment of the present invention, predicted value determining module 404 is also used to: by the current mechanism be averaged production efficiency, When prewave time residual time length, work station quantity, the shuttle in normal condition use accounting and mentioning in normal condition The machine of liter uses the product of accounting, as the work station production capacity W when prewave time remaining time section0q;By the flat of current elevator Equal production efficiency, when prewave time residual time length, elevator quantity and hopper average option quantity product, as working as prewave The elevator production capacity C of secondary remaining time section0q;By the W0Q and C0Minimum value in q, as when prewave time remaining time The multilayer shuttle shelf production capacity predicted value of section.
Fig. 5 is shown can be using the method or apparatus of the prediction multilayer shuttle shelf production capacity of the embodiment of the present invention Exemplary system architecture 500.
As shown in figure 5, system architecture 500 may include terminal device 501,502,503, network 504 and server 505. Network 504 between terminal device 501,502,503 and server 505 to provide the medium of communication link.Network 504 can be with Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 501,502,503 and be interacted by network 504 with server 505, to receive or send out Send message etc..Various telecommunication customer end applications, such as the application of shopping class, net can be installed on terminal device 501,502,503 The application of page browsing device, searching class application, instant messaging tools, mailbox client, social platform software etc..
Terminal device 501,502,503 can be the various electronic equipments with display screen and supported web page browsing, packet Include but be not limited to smart phone, tablet computer, pocket computer on knee and desktop computer etc..
Server 505 can be to provide the server of various services, such as utilize terminal device 501,502,503 to user The shopping class website browsed provides the back-stage management server supported.Back-stage management server can believe the product received The data such as breath inquiry request carry out the processing such as analyzing, and processing result is fed back to terminal device.
It should be noted that the embodiment of the present invention provided by prediction multilayer shuttle shelf production capacity method generally by Server 505 executes, and correspondingly, the device of prediction multilayer shuttle shelf production capacity is generally positioned in server 505.
It should be understood that the number of terminal device, network and server in Fig. 5 is only schematical.According to realization need It wants, can have any number of terminal device, network and server.
The embodiments of the present invention also provide a kind of electronic equipment and a kind of computer-readable medium.
The electronic equipment of the embodiment of the present invention includes: one or more processors;Storage device, for storing one or more A program, when one or more of programs are executed by one or more of processors, so that one or more of processing The method that device realizes prediction multilayer shuttle shelf production capacity provided in an embodiment of the present invention.
The computer-readable medium of the embodiment of the present invention, is stored thereon with computer program, and described program is held by processor The method of prediction multilayer shuttle shelf production capacity provided in an embodiment of the present invention is realized when row.
Below with reference to Fig. 6, it illustrates the computer systems 600 for the terminal device for being suitable for being used to realize the embodiment of the present invention Structural schematic diagram.Terminal device shown in Fig. 6 is only an example, function to the embodiment of the present invention and should not use model Shroud carrys out any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and Execute various movements appropriate and processing.In RAM603, also it is stored with system 600 and operates required various programs and data. CPU601, ROM602 and RAM603 are connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to bus 604。
I/O interface 605 is connected to lower component: the importation 606 including keyboard, mouse etc.;It is penetrated including such as cathode The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section 608 including hard disk etc.; And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 via such as because The network of spy's net executes communication process.Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 610, in order to read from thereon Computer program be mounted into storage section 608 as needed.
Particularly, disclosed embodiment, the process described above with reference to flow chart may be implemented as counting according to the present invention Calculation machine software program.For example, embodiment disclosed by the invention includes a kind of computer program product comprising be carried on computer Computer program on readable medium, the computer program include the program code for method shown in execution flow chart.? In such embodiment, which can be downloaded and installed from network by communications portion 609, and/or from can Medium 611 is dismantled to be mounted.When the computer program is executed by central processing unit (CPU) 601, system of the invention is executed The above-mentioned function of middle restriction.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meter Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device, Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction It closes to realize.
Being described in module involved in the embodiment of the present invention can be realized by way of software, can also be by hard The mode of part is realized.Described module also can be set in the processor, for example, can be described as: a kind of processor, packet It includes: efficiency determination module, EFFICIENCY PREDICTION module, the quasi- prediction module of production capacity, predicted value determining module.Wherein, the name of these modules Claim not constituting the restriction to the module itself under certain conditions, for example, efficiency determination module is also described as " being used for Determine the module of average production efficiency ".
As on the other hand, the present invention also provides a kind of computer-readable medium, which be can be Included in equipment described in above-described embodiment;It is also possible to individualism, and without in the supplying equipment.Above-mentioned calculating Machine readable medium carries one or more program, when said one or multiple programs are executed by the equipment, makes The equipment includes: to determine that the work station of history wave time period is averaged production efficiency, work at present according to history wave time data It stands average production efficiency, the average production efficiency of current elevator;According to the current mechanism be averaged production efficiency, described go through The work station of Shi Boci period is averaged production efficiency, and prediction is averagely produced when the work station of next wave time period of prewave time Efficiency;Work station based on next wave time period be averaged production efficiency, the average production efficiency of the current elevator, Duration, the work station quantity, elevator quantity of next wave time predict that the work station of next wave time period produces energy Power and elevator production capacity;By in the work station production capacity and elevator production capacity of next wave time period most Small value, the multilayer shuttle shelf production capacity predicted value as next wave time period.
The method of prediction multilayer shuttle shelf production capacity according to an embodiment of the present invention can be seen that because comprehensively considering History production efficiency and current production efficiency, so overcoming in the prior art due to excessively relying on the sorting energy in historical data The peak value of power and caused by production capacity the not high problem technical problem of precision of prediction, and then the multilayer for reaching prediction shuttles Shelf production capacity result is more acurrate.
Above-mentioned specific embodiment, does not constitute a limitation on the scope of protection of the present invention.Those skilled in the art should be bright It is white, design requirement and other factors are depended on, various modifications, combination, sub-portfolio and substitution can occur.It is any Made modifications, equivalent substitutions and improvements etc. within the spirit and principles in the present invention, should be included in the scope of the present invention Within.

Claims (18)

1. a kind of method for predicting multilayer shuttle shelf production capacity characterized by comprising
According to history wave time data, determine that be averaged production efficiency, current mechanism of the work station of history wave time period is averagely given birth to Produce efficiency, the average production efficiency of current elevator;
It is averaged production efficiency according to the be averaged work station of production efficiency, the history wave time period of the current mechanism, in advance It surveys when the work station of next wave time period of prewave time is averaged production efficiency;
Work station based on next wave time period be averaged production efficiency, the average production efficiency of the current elevator, Duration, the work station quantity, elevator quantity of next wave time predict that the work station of next wave time period produces energy Power and elevator production capacity;
By the minimum value in the work station production capacity and elevator production capacity of next wave time period, as next wave The multilayer shuttle shelf production capacity predicted value of secondary period.
2. the method according to claim 1, wherein being averaged production efficiency, described according to the current mechanism The work station of history wave time period be averaged production efficiency, and prediction is averagely given birth to when the work station of next wave time period of prewave time Produce efficiency, comprising:
According to the period when prewave time, determine that the work station of history wave time period identical with the period averagely produces effect Rate, and the work station of history wave time period identical with next wave time period when prewave time are averaged production efficiency;
Work station when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1) Average production efficiency q (t+1);
Wherein, ql (t+1) indicates that the work station of history wave time period identical with next wave time period when prewave time is flat Equal production efficiency, ql (t) indicate that the work station of identical with period history wave secondary period is averaged production efficiency, q ' (t) Indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary Between section.
3. according to the method described in claim 2, it is characterized in that, the work station based on next wave time period is averagely raw The secondary duration of efficiency, the average production efficiency of the current elevator, next wave, work station quantity, elevator quantity are produced, Predict the work station production capacity and elevator production capacity of next wave time period, comprising:
The work station of next wave time period be averaged the secondary duration of production efficiency, next wave, the product of work station quantity, Work station production capacity as next wave time period;
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper Elevator production capacity of the product of amount as next wave time period.
4. according to the method described in claim 2, it is characterized in that, being averaged production efficiency, described according to the current mechanism The work station of history wave time period be averaged production efficiency, and prediction is averagely given birth to when the work station of next wave time period of prewave time After producing efficiency, the method also includes:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction;
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction;
Determine that the shuttle in normal condition uses accounting p1=1-m/ shuttle sum, and the promotion in normal condition Machine uses accounting p2=1-n/ elevator sum;
Work station based on next wave time period be averaged production efficiency, the average production efficiency of the current elevator, Duration, the work station quantity, elevator quantity of next wave time predict that the work station of next wave time period produces energy Power and elevator production capacity, comprising:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time period is calculated Work station production capacity Wq;
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time;
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper The product of amount, the elevator production capacity Cq as next wave time period.
5. according to the method described in claim 4, it is characterized in that, by the work station production capacity of next wave time period With the minimum value in elevator production capacity, as next wave time period multilayer shuttle shelf production capacity predicted value it Afterwards, the method also includes:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, wearing in normal condition Shuttle car uses the product of accounting using accounting and the elevator in normal condition, as the work when prewave time remaining time section Make station production capacity W0q;
By the average production efficiency of current elevator, when the average option of prewave time residual time length, elevator quantity and hopper The product of quantity, as the elevator production capacity C when prewave time remaining time section0q;
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity prediction when prewave time remaining time section Value.
6. the method according to claim 1, wherein by the work station production capacity of next wave time period It is wrapped with the minimum value in elevator production capacity as the multilayer shuttle shelf production capacity predicted value of next wave time period It includes:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined;
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period determines the history wave time period Multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity actual value of the history wave time period Ratio, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period;
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time;
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq, Cq) Indicate the work station production capacity Wq and the elevator production capacity of next wave time period of next wave time period Minimum value in Cq.
7. the method according to claim 1, wherein determining that current mechanism is average according to history wave time data Production efficiency includes:
The history wave time data include the production quantity Sg and work of work station in the set period of time from current time forward Make the duration T ' g that station is in unbound order status;
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate the duration of the set period of time from current time forward;
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
8. the method according to claim 1, wherein determining the flat of current elevator according to history wave time data Equal production efficiency includes:
The history wave time data include in the set period of time from current time forward, the lift tank number Sj of elevator and mention The in running order duration Tj of the machine of liter;
Production efficiency=Sj/Tj of elevator;
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
9. a kind of device for predicting shuttle shelf production capacity characterized by comprising
Efficiency determination module is used for: according to history wave time data, determining that the work station of history wave time period averagely produces effect Rate, current mechanism are averaged production efficiency, the average production efficiency of current elevator;
EFFICIENCY PREDICTION module, is used for: being averaged the work of production efficiency, the history wave time period according to the current mechanism It stands average production efficiency, prediction is averaged production efficiency when the work station of next wave time period of prewave time;
The quasi- prediction module of production capacity, is used for: the work station based on next wave time period be averaged production efficiency, described work as premise The average production efficiency of the machine of liter, the duration of next wave time, work station quantity, elevator quantity predict next wave The work station production capacity and elevator production capacity of period;
Predicted value determining module, is used for: by the work station production capacity and elevator production capacity of next wave time period In minimum value, the multilayer shuttle shelf production capacity predicted value as next wave time period.
10. device according to claim 9, which is characterized in that EFFICIENCY PREDICTION module is also used to:
According to the period when prewave time, determine that the work station of history wave time period identical with the period averagely produces effect Rate, and the work station of history wave time period identical with next wave time period when prewave time are averaged production efficiency;
Work station when next wave time period of prewave time is calculated using formula q (t+1)=(ql (t)/q ' (t)) * ql (t+1) Average production efficiency q (t+1);
Wherein, ql (t+1) indicates that the work station of history wave time period identical with next wave time period when prewave time is flat Equal production efficiency, ql (t) indicate that the work station of identical with period history wave secondary period is averaged production efficiency, q ' (t) Indicate that current mechanism be averaged production efficiency, t indicates the period when prewave time, and t+1 is indicated when next wave of prewave time is secondary Between section.
11. device according to claim 10, which is characterized in that the quasi- prediction module of production capacity is also used to:
The work station of next wave time period be averaged the secondary duration of production efficiency, next wave, the product of work station quantity, Work station production capacity as next wave time period;
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper Elevator production capacity of the product of amount as next wave time period.
12. device according to claim 10, which is characterized in that described device further includes fault statistics module, is used for:
According to history wave time data, determine that each shuttle and or elevator are in the average duration Tx of malfunction;
Acquisition is currently at the shuttle quantity m of malfunction and is currently at the elevator quantity n of malfunction;
Determine that the shuttle in normal condition uses accounting p1=1-m/ shuttle sum, and the promotion in normal condition Machine uses accounting p2=1-n/ elevator sum;
The quasi- prediction module of production capacity is also used to:
Using formula W q=q (t+1) * Tx*Ng*p1*p2+q (t+1) * (Tb-Tx) * Ng, next wave time period is calculated Work station production capacity Wq;
Wherein, Ng indicates work station quantity, and Tb indicates the duration of next wave time;
By the average option number of the average production efficiency of current elevator, the duration of next wave time, elevator quantity and hopper The product of amount, the elevator production capacity Cq as next wave time period.
13. device according to claim 12, which is characterized in that predicted value determining module is also used to:
By the current mechanism be averaged production efficiency, when prewave time residual time length, work station quantity, wearing in normal condition Shuttle car uses the product of accounting using accounting and the elevator in normal condition, as the work when prewave time remaining time section Make station production capacity W0q;
By the average production efficiency of current elevator, when the average option of prewave time residual time length, elevator quantity and hopper The product of quantity, as the elevator production capacity C when prewave time remaining time section0q;
By the W0Q and C0Minimum value in q, as the multilayer shuttle shelf production capacity prediction when prewave time remaining time section Value.
14. device according to claim 9, which is characterized in that predicted value determining module is also used to:
According to history wave time data, the multilayer shuttle shelf production capacity actual value of history wave time period is determined;
The multilayer shuttle shelf production capacity predicted value for obtaining the history wave time period determines the history wave time period Multilayer shuttle shelf production capacity predicted value and the multilayer shuttle shelf production capacity actual value of the history wave time period Ratio, the difference percentage of the multilayer shuttle shelf production capacity as the history wave time period;
According to the difference percentage, difference percentage upper quartile P is determined in all history waves time;
The multilayer shuttle shelf production capacity predicted value Q=P*Min (Wq, Cq) of next wave time period, wherein Min (Wq, Cq) Indicate the work station production capacity Wq and the elevator production capacity of next wave time period of next wave time period Minimum value in Cq.
15. device according to claim 9, which is characterized in that efficiency determination module is also used to:
The history wave time data include the production quantity Sg and work of work station in the set period of time from current time forward Make the duration T ' g that station is in unbound order status;
Production efficiency=Sg/ (Tg-T ' g) of work station, Tg indicate the duration of the set period of time from current time forward;
According to the production efficiency at all working station and work station quantity, determine that current mechanism is averaged production efficiency.
16. device according to claim 9, which is characterized in that efficiency determination module is also used to:
The history wave time data include in the set period of time from current time forward, the lift tank number Sj of elevator and mention The in running order duration Tj of the machine of liter;
Production efficiency=Sj/Tj of elevator;
According to the production efficiency of all elevators and elevator quantity, the average production efficiency of current elevator is determined.
17. a kind of electronic equipment characterized by comprising
One or more processors;
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real Now such as method described in any one of claims 1-8.
18. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor Such as method described in any one of claims 1-8 is realized when row.
CN201811390998.5A 2018-11-21 2018-11-21 Method and device for predicting production capacity of multi-layer shuttle shelf Active CN110378503B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811390998.5A CN110378503B (en) 2018-11-21 2018-11-21 Method and device for predicting production capacity of multi-layer shuttle shelf

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811390998.5A CN110378503B (en) 2018-11-21 2018-11-21 Method and device for predicting production capacity of multi-layer shuttle shelf

Publications (2)

Publication Number Publication Date
CN110378503A true CN110378503A (en) 2019-10-25
CN110378503B CN110378503B (en) 2022-06-07

Family

ID=68243124

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811390998.5A Active CN110378503B (en) 2018-11-21 2018-11-21 Method and device for predicting production capacity of multi-layer shuttle shelf

Country Status (1)

Country Link
CN (1) CN110378503B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111738648A (en) * 2020-04-01 2020-10-02 北京京东乾石科技有限公司 Product selection method, device, equipment and storage medium
CN113525990A (en) * 2021-07-30 2021-10-22 广州佳帆计算机有限公司 Method and device for warehousing commodities based on shuttle path
CN113780701A (en) * 2020-07-30 2021-12-10 北京京东乾石科技有限公司 Order shunting method and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100332275A1 (en) * 2002-07-20 2010-12-30 Michael Walsh System, method, and media for trading of energy efficiency
CN102183935A (en) * 2011-04-22 2011-09-14 上海拖拉机内燃机有限公司 Capacity monitoring method of robot spot-welding production line
US20140163933A1 (en) * 2011-09-16 2014-06-12 Hisaya Ishibashi Manufacturing line designing apparatus and manufacturing line designing method
CN105427021A (en) * 2015-10-30 2016-03-23 江苏云道信息技术有限公司 Intelligent clothes production scheduling method
CN106295995A (en) * 2016-08-10 2017-01-04 曼威网络科技(上海)有限公司 A kind of data analysing method for determining the production schedule and equipment
CN106600088A (en) * 2015-10-16 2017-04-26 中芯国际集成电路制造(上海)有限公司 System and method for enhancing production capacity

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100332275A1 (en) * 2002-07-20 2010-12-30 Michael Walsh System, method, and media for trading of energy efficiency
CN102183935A (en) * 2011-04-22 2011-09-14 上海拖拉机内燃机有限公司 Capacity monitoring method of robot spot-welding production line
US20140163933A1 (en) * 2011-09-16 2014-06-12 Hisaya Ishibashi Manufacturing line designing apparatus and manufacturing line designing method
CN106600088A (en) * 2015-10-16 2017-04-26 中芯国际集成电路制造(上海)有限公司 System and method for enhancing production capacity
CN105427021A (en) * 2015-10-30 2016-03-23 江苏云道信息技术有限公司 Intelligent clothes production scheduling method
CN106295995A (en) * 2016-08-10 2017-01-04 曼威网络科技(上海)有限公司 A kind of data analysing method for determining the production schedule and equipment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
本刊编辑部: "CeMAT Asia 2015:智能物流引领创新发展", 《物流技术与应用》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111738648A (en) * 2020-04-01 2020-10-02 北京京东乾石科技有限公司 Product selection method, device, equipment and storage medium
CN113780701A (en) * 2020-07-30 2021-12-10 北京京东乾石科技有限公司 Order shunting method and device
CN113525990A (en) * 2021-07-30 2021-10-22 广州佳帆计算机有限公司 Method and device for warehousing commodities based on shuttle path

Also Published As

Publication number Publication date
CN110378503B (en) 2022-06-07

Similar Documents

Publication Publication Date Title
CN110111033B (en) Order diversion method and device
CN110197350A (en) A kind of article warehouse-out method and device
CN108874640A (en) A kind of appraisal procedure and device of clustering performance
CN110378503A (en) The method and apparatus for predicting multilayer shuttle shelf production capacity
CN101639687B (en) Integrated technology quality control system and realization method thereof
CN103927229A (en) Scheduling Mapreduce Jobs In A Cluster Of Dynamically Available Servers
CN110443533A (en) Commodity divide storehouse storage method, device, electronic equipment and computer-readable medium
CN110197351A (en) A kind of article warehouse-out method and device
CN110371548A (en) A kind of goods warehousing method and apparatus
CN109697537A (en) The method and apparatus of data audit
CN110348771A (en) The method and apparatus that a kind of pair of order carries out group list
CN105719221A (en) Path cooperation programming method and device aiming at multitask
CN110516986A (en) Wrap up the set single group construction method and device under production model
CN109002925A (en) Traffic prediction method and apparatus
CN103473667A (en) Inventory management system of whole-course supply chain and EX-warehouse management method thereof
CN109413125A (en) The method and apparatus of dynamic regulation distributed system resource
CN110232487A (en) A kind of task allocating method and device
CN110348650A (en) A kind of method and apparatus at order interflow
CN107463642A (en) The method and apparatus for lifting Tool for Data Warehouse resource utilization
CN109961328A (en) The method and apparatus for determining order cooling off period
CN111652408A (en) Order processing method, device, medium, electronic equipment and system in warehouse
CN110097303A (en) A kind of method and apparatus of order management
CN109902847A (en) Prediction divides the method and apparatus of library order volume
CN110489224A (en) A kind of method and apparatus of task schedule
CN108985805A (en) A kind of method and apparatus that selectivity executes push task

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20200601

Address after: Room A1905, 19th floor, No. 2 Building, 18 Kechuang 11th Street, Beijing Daxing District, Beijing

Applicant after: Beijing Jingdong Qianshi Technology Co.,Ltd.

Address before: 300 457 days Tianjin Binhai New Area, Tianjin Economic and Technological Development Zone, No. 10 Fourth Avenue, Phase 2, First Floor

Applicant before: Tianjin Jingdong Shentuo Robot Technology Co.,Ltd.

GR01 Patent grant
GR01 Patent grant