CN109886527A - Electric energy metering verification production of intelligent scheduling method and intelligent program system based on branch and bound algorithms - Google Patents

Electric energy metering verification production of intelligent scheduling method and intelligent program system based on branch and bound algorithms Download PDF

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CN109886527A
CN109886527A CN201811618940.1A CN201811618940A CN109886527A CN 109886527 A CN109886527 A CN 109886527A CN 201811618940 A CN201811618940 A CN 201811618940A CN 109886527 A CN109886527 A CN 109886527A
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branch
model
parameter
data set
electric energy
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CN109886527B (en
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魏飞
刘婧
赵勇
刘凯
刘雪
陈鑫
刘浩宇
孙虹
翟木然
乔亚男
吴守建
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POWERSMART (BEIJING) SCIENCE AND TECHNOLOGY Co Ltd
Electric Power Research Institute of State Grid Tianjin Electric Power Co Ltd
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POWERSMART (BEIJING) SCIENCE AND TECHNOLOGY Co Ltd
Electric Power Research Institute of State Grid Tianjin Electric Power Co Ltd
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    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The present invention relates to a kind of electric energy metering verification production of intelligent scheduling method and system based on branch and bound algorithms, this method comprises: the minimum model of building electric energy metering verification production cost and model constraint condition;According to model constraint condition, initial parameter data set is obtained;Judge whether initial parameter data set meets the integer requirement of the minimum model of electric energy metering verification production cost, if not meeting, according to the minimum model of electric energy metering verification production cost, obtains dividing value on model floor value and model;Branch is carried out to initial parameter data set, parameter data set after branch is obtained, with computation model current value;Whether judgment models current value is on model between dividing value and model floor value, if so, further branch is carried out to parameter data set after branch, until parameter data set meets condition simultaneously after branch.Binding model, model constraint condition and branch and bound algorithms of the present invention obtain optimal scheduling, with reasonable arrangement buying, calibrating production, inventory and dispatching.

Description

Electric energy metering verification production of intelligent scheduling method and intelligence based on branch and bound algorithms Program system
Technical field
The present invention relates to electric energy metering verification production technical field more particularly to a kind of electric energy based on branch and bound algorithms Measurement verification production of intelligent scheduling method and intelligent program system.
Background technique
Measurement instrument supply chain front end needs the resource to buying, production and dispatching link to optimize configuration.It is entire to supply Answering chain includes a number of suppliers of upstream, an automatic detection center for integrating storage and detection and downstream it is several Demand point, including sub-store match storehouse with straight.Supplier can provide the different classes of meter such as single-phase, three-phase, sensing Measuring device tool.Inspection center is equipped with the automatic detection line for detecting different classes of measurement instrument, and every detection line is by different function Detection stage body be composed in series, such as the detection line of individual event table mainly includes visual inspection table body, error-detecting stage body etc., In, it is parallel way between error-detecting stage body with the same function, is that visual inspection table body is connected.Error-detecting Required time accounts for about nearly the 98% of entire detection time.There are corresponding relationships with measurement instrument for error-detecting stage body, i.e., a certain Some stage body in class (utensil classification) detection stage body is only capable of the measurement instrument of detection part (or whole) module.In addition, metering A procurement plan (new product) is monthly formulated at center, and purchasing the preposition phase is one month, arranges detection after arrival.Detection is completed laggard Enter stereo garage storage, storage needed to detect again beyond 6 months.
Currently, the production capacity of power grid measurement centre is much larger than demand, measurement centre uses MTS (Make to Stock is produced by inventory) mode arranges production.Power grid measurement centre the degree of automation is higher, from the point of view of detection capability, most Big detection capability is all at two times or more of demand.Although demand is much smaller than production capacity, since the demand of ammeter is not easy to predict, Power grid measurement centre is taken based on the strategy of inventory's production, by the way that higher safety inventory is arranged, reaches customer demand Service Efficiency Maximization.But ammeter has its particularity, the ammeter detected is stored over six months in library and need to be detected again, this will Ask inventory's turnaround speed fast, the strategy of high safety inventory and MTS obviously are difficult to reach this requirement.
Branch and bound algorithms are a kind of algorithms that can be used for solving pure integer programming and mixed integer programming.It relaxes from original The optimal solution of problem is set out, to be unsatisfactory for integer condition discrete variable carry out branch, by area of feasible solutions segment until obtain from Dissipate the integer solution of variable.Integer ambiguity, which is solved, based on branch and bound algorithms is theoretically better than other algorithms.
Therefore it provides a kind of electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms and intelligent scheduling System.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind The electric energy metering verification production of intelligent scheduling method and intelligent program system based on branch and bound algorithms for stating problem, solve inventory The slow problem of turnaround speed.
According to an aspect of the present invention, a kind of electric energy metering verification production of intelligent row based on branch and bound algorithms is provided Cheng Fangfa, comprising:
Influencing element and dispatching based on buying influence element, calibrating Influence of production element, inventory influences element building electric energy The minimum model of measurement verification production cost influences element, calibrating Influence of production element, inventory's influence element and dispatching based on buying It influences element and constructs the minimum model constraint condition of electric energy metering verification production cost;
Choose the initial parameter data set for meeting the minimum model constraint condition of electric energy metering verification production cost, the initial ginseng Number data set is made of initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and initial dispatching parameter;
Judge whether initial parameter data set meets the integer requirement of the minimum model of electric energy metering verification production cost:
If meeting, schduling parameter, calibrating production scheduling parameter, inventory row are purchased according to initial parameter data set editor Journey parameter and dispatching schduling parameter;
If not meeting, according to initial parameter data set and the minimum model of electric energy metering verification production cost, model is obtained Floor value, and according to the minimum model constraint condition of electric energy metering verification production cost and the minimum mould of electric energy metering verification production cost Type obtains dividing value on model;Branch is carried out to initial parameter data set simultaneously, obtains parameter data set after at least two branches, According to parameter data set after branch and the minimum model of electric energy metering verification production cost, model current value is obtained;
Whether judgment models current value is on model between dividing value and model floor value, if so, further to the branch Parameter data set carries out branch afterwards, and parameter data set meets the minimum mould of electric energy metering verification production cost simultaneously after the branch Type and the minimum model constraint condition of electric energy metering verification production cost then purchase scheduling according to parameter data set editor after the branch Parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter.
Further, the above-mentioned electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms, further includes: logical Crossing and assigning the minimum model constraint condition of each electric energy metering verification production cost is equation, calculates initiated purchase parameter, initial inspection Determine manufacturing parameter, initial inventory parameter and initially dispenses parameter.
Further, the above-mentioned electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms, further includes:
Any parameter progress branch for not meeting integer requirement is chosen from initial parameter data set, obtains at least two points Parameter data set after branch, according to parameter data set after branch and the minimum model of electric energy metering verification production cost, after obtaining branch Model current value;
Model current value is judged after branch whether on model between dividing value and model floor value, if so, to the branch Supplemental characteristic concentrates any parameter for not meeting integer requirement to carry out branch afterwards, parameter data set after branch again is obtained, according to this Parameter data set obtains model current value after branch again after branch again, and whether model current value is in the model upper bound after judging branch again Between value and model floor value, if so, parameter data set meets electric energy metering verification production cost simultaneously after the branch Minimum model and the minimum model constraint condition of electric energy metering verification production cost, then adopt according to parameter data set editor after the branch Purchase schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter.
Further, the above-mentioned electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms, further includes: if Model current value between dividing value and model floor value, then deletes parameter data set after the branch not on model.
Further, the minimum model constraint condition of electric energy metering verification production cost is as follows:
Wherein, hiFor the inventory cost of product i unit time, γoFor the earliest distribution time of order O,For in order O Product i produces end time, αoFor the order O time started,For the demand of product i in order O,For product i in order O The t days yield,To change production cost, it isIncreasing function, kiFor the library for indicating the product i unit time It is saved as this,For product the t days yield of i, umtTo examine and determine the t days position in storehouse numbers of line m,
Further, the minimum model constraint condition of electric energy metering verification production cost is as follows:
First, order start time is more early than the order production time started:
Wherein, αoFor the order O time started,Indicate that product i produces the time started in order O;
Second, difference of the production end time earlier than order deadline and the earliest distribution time of order in order:
Wherein,End time, β are produced for order OoFor order O deadline;
The yield of third, daily order is less than production capacity:
Wherein, zmtIt indicates to influence the detection capability of calibrating line m in the case of maintenance in the t days;vmtIndicate the t days overtime work feelings The detection capability of calibrating line m is influenced under condition, um*nm*lmIndicate the detection capability (detection capability=position in storehouse number * platform of calibrating line m Body number * takes turns number),
4th, the yield of order meets order demand amount within the production cycle
Wherein,For the demand of product i in order O,For product the t days yield of i;
5th, the end time is produced earlier than earliest distribution time, and earliest distribution time is earlier than order deadline:
Wherein, γoFor the earliest distribution time of order O,End time, β are produced for product i in order OoIt is cut for order O The only time;
6th, the t days yield of each order O and be product the t days yield of i:
Wherein,Indicate product the t days yield of i in order O,For product the t days yield of i;
7th, guarantee product continuous production within the production cycle in each order:
Wherein,Indicate product the t days yield of i in order O.
According to another aspect of the present invention, a kind of electric energy based on branch and bound algorithms realized based on the above method is provided Measurement verification production of intelligent program system, comprising:
Model and model constraint condition construct module, for influencing element, calibrating Influence of production element, inventory based on buying Influencing element and dispatching influences element and constructs the minimum model of electric energy metering verification production cost, influences element, calibrating based on buying Influence of production element, inventory, which influence element and dispatching, to be influenced the minimum model of element building electric energy metering verification production cost and constrains item Part;
Initial parameter data set acquisition module meets the minimum model constraint item of electric energy metering verification production cost for choosing The initial parameter data set of part, the initial parameter data set are joined by initiated purchase parameter, initial proving manufacturing parameter, initial inventory Several and initial dispatching parameter composition;
Initial parameter data set screening module, for judging whether initial parameter data set meets electric energy metering verification production The integer requirement of the minimum model of cost purchases schduling parameter according to initial parameter data set editor, calibrating produces if meeting Schduling parameter, inventory's schduling parameter and dispatching schduling parameter;
Model value delimits module, for not meeting the minimum model of electric energy metering verification production cost in initial parameter data set Integer when requiring, according to initial parameter data set and the minimum model of electric energy metering verification production cost, obtain model floor value, And according to the minimum model constraint condition of electric energy metering verification production cost and the minimum model of electric energy metering verification production cost, obtain Dividing value on model;
Parameter data set obtains module after branch, for carrying out branch to initial parameter data set, obtains at least two points Parameter data set after branch obtains model and works as according to parameter data set after branch and the minimum model of electric energy metering verification production cost Preceding value;
Parameter data set optimization module after branch, for judgment models current value whether on model dividing value and model lower bound Between value, if so, further carrying out branch to parameter data set after the branch, parameter data set is full simultaneously after the branch The minimum model of sufficient electric energy metering verification production cost and the minimum model constraint condition of electric energy metering verification production cost, then according to should Parameter data set editor purchases schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter after branch.
Further, initial parameter data set acquisition module is also used to be produced by assigning each electric energy metering verification This minimum model constraint condition is equation, calculates initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and initial Dispense parameter.
Further, parameter data set obtains module after branch, is also used to choose from initial parameter data set and does not meet Any parameter that integer requires carries out branch, parameter data set after at least two branches is obtained, according to parameter data set after branch With the minimum model of electric energy metering verification production cost, model current value after branch is obtained;
Parameter data set optimization module after branch, be also used to judge after branch model current value whether on model dividing value with Between model floor value, if so, concentrate any parameter for not meeting integer requirement to carry out branch supplemental characteristic after the branch, Parameter data set judges again according to model current value after parameter data set acquisition after this again branch again branch after obtaining branch again Whether model current value is on model between dividing value and model floor value after branch, if so, the supplemental characteristic after the branch Collect while meeting the minimum model of electric energy metering verification production cost and the minimum model constraint condition of electric energy metering verification production cost, Schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching are then purchased according to parameter data set editor after the branch Schduling parameter.
Further, parameter data set optimization module after branch, be also used in model current value not on model dividing value with When between model floor value, parameter data set after the branch is deleted.
The present invention has the advantage that compared with prior art
1. the electric energy metering verification production of intelligent scheduling method and intelligent scheduling system of the invention based on branch and bound algorithms System uses branch and bound algorithms, predicts suitable for the optimal scheduling to Unpredictability, and calculating step is few, calculates effect Rate is high, good for inserting the emergency situations adaptability such as single.
2. the electric energy metering verification production of intelligent scheduling method and intelligent scheduling system of the invention based on branch and bound algorithms System combines the minimum model of electric energy metering verification production cost, the minimum model constraint condition of electric energy metering verification production cost and branch It defines algorithm and obtains buying schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter, pass through control The buying of cost reasonable arrangement, calibrating production, inventory's turnover and dispatching.
3. the electric energy metering verification production of intelligent scheduling method and intelligent scheduling system of the invention based on branch and bound algorithms System obtains buying arrival, calibrating production, dispenses full-range intelligent scheduling, has effectively evaded the deficiency of artificial experience, has realized meter The science for measuring production plan is formulated, is efficiently executed.
4. the electric energy metering verification production of intelligent scheduling method and intelligent scheduling system of the invention based on branch and bound algorithms What system not only met power supply unit and its institute (two fraction libraries and straight with library) of standing in time uses table demand, while substantially cutting down consolidated storage It deposits and production cost, realizes that intelligent running provides strong support for measurement centre.
Detailed description of the invention
Below in conjunction with drawings and examples, the invention will be further described.
Fig. 1 is the electric energy metering verification production of intelligent scheduling method block diagram of the invention based on branch and bound algorithms;
Fig. 2 is the production scheduling logic chart of the invention produced by order;
Fig. 3 is the present invention according to the branch and bound algorithms solution minimum model process process of electric energy metering verification production cost Figure;
Fig. 4 is the electric energy metering verification production of intelligent program system block diagram of the invention based on branch and bound algorithms;
Fig. 5 is the electric energy metering verification production of intelligent scheduling method application principle mistake of the invention based on branch and bound algorithms Cheng Tu.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure It is fully disclosed to those skilled in the art.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition Other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art The consistent meaning of meaning, and unless otherwise will not be explained in an idealized or overly formal meaning by specific definitions.
The present invention is directed to rely on electric energy metering verification production of intelligent program system, electric energy metering verification intelligence metaplasia is realized It produces.Under dynamic order demand, guaranteed absolutely complete according to MTO (make to order is produced by order) strategy first At rate with the plan of arranging production, and production plan is refine to day;On this basis, theoretical according to advanced scheduling, based on dynamic Demand, measurement instrument detection status and the constraint condition of order, the mathematical model of the problem is constructed using the method for optimization of planning strategies for To realize intelligent scheduling, day production plan and day distribution plan are exported, to meet downstream stations institute (two fraction libraries are with straight with library) Use table demand, to make full use of production capacity, guarantee continuity, the stability of production, and reduce detection line worker as far as possible Overtime.Therefore, core of the invention is: how according to dynamic order, in the case where guaranteeing absolutely Service Efficiency, formulating Science production scheduling, not only met whole orders, but also inventory's turnaround speed can be improved, reduce inventory, while will preferably with library It deposits and dispatching links up, improve whole work efficiency.
Fig. 1 is the electric energy metering verification production of intelligent scheduling method block diagram of the invention based on branch and bound algorithms, ginseng See Fig. 1, the electric energy metering verification production of intelligent scheduling method provided by the invention based on branch and bound algorithms, comprising:
S110, influencing element, calibrating Influence of production element, inventory's influence element and dispatching based on buying influences element building The minimum model of electric energy metering verification production cost, based on buying influence element, calibrating Influence of production element, inventory influence element and Dispatching influences element and constructs the minimum model constraint condition of electric energy metering verification production cost;
Specifically, in the minimum model of building electric energy metering verification production cost and the minimum mould of electric energy metering verification production cost Before type constraint condition, production status is investigated first, collects data, inductive problem, to press according to production status and problem determination The production scheduling logic chart of order production constructs the minimum mould of electric energy metering verification production cost according to the production scheduling logic chart Type.As shown in Fig. 2, production scheduling logic chart includes: new product storage;Sample is compared, totipotency experiment, is spot-check, wherein mutual inductor Do not do sample compare and totipotency experiment, directly spot-check, acquisition terminal it goes without doing spot-check;New product inventory is read, by new product library It deposits and is matched with order demand, wherein the unappeasable part output of new product, and additional reasons, such as new product are insufficient;Read order Pond information;The demand of estimating is arranged production amount of plan;Check plan, executive condition and the plan worked out, judge whether there is newly-increased Demand (demand fluctuation increases newly anxious single);If there is newly increased requirement, safety inventory is called, and judges whether safety inventory meets institute There is rush order;If safety inventory is unsatisfactory for all rush order, judge to match remaining production capacity one by one according to order priority Whether meet;If matching remaining production capacity one by one according to order priority to be unsatisfactory for, the order of output arrangement production is simultaneously carried out slotting It is single, to adjust main production plan, work out production plan;Production scheduling model is established according to production plan, selects intelligent scheduling excellent Change algorithm, to obtain production plan and scheduling plan;Judge whether dispatching executes according to plan;If dispatching does not execute according to plan, Extension punishment is then carried out, and is dispensed.
Wherein, for investigate production status collection data, from sales service application system, metering production scheduling platform, It is extracted in metering warehousing system, the data of power information acquisition system, so that the data storage and pretreatment, data core in later period It is right, guarantee the quality of data and consistency of multisystem data, it is ensured that reliability, the authenticity of data source.
S120 chooses the initial parameter data set for meeting the minimum model constraint condition of electric energy metering verification production cost, should Initial parameter data set is made of initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and initial dispatching parameter;
S130, judges whether initial parameter data set meets the integer of the minimum model of electric energy metering verification production cost and want It asks:
S140, if meeting, according to initial parameter data set editor purchase schduling parameter, calibrating production scheduling parameter, Inventory's schduling parameter and dispatching schduling parameter;
S150, according to initial parameter data set and the minimum model of electric energy metering verification production cost, is obtained if not meeting Model floor value, and most according to the minimum model constraint condition of electric energy metering verification production cost and electric energy metering verification production cost Low model obtains dividing value on model;Branch is carried out to initial parameter data set simultaneously, obtains supplemental characteristic after at least two branches Collection obtains model current value according to parameter data set after branch and the minimum model of electric energy metering verification production cost;
S160, whether judgment models current value is on model between dividing value and model floor value, if so, further to this Parameter data set carries out branch after branch, and parameter data set meets electric energy metering verification production cost most simultaneously after the branch Low model and the minimum model constraint condition of electric energy metering verification production cost, then purchase according to parameter data set editor after the branch Schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter.Herein, scheduling indicates to arrange order Table.
Specifically, as shown in figure 3, solving the minimum model process of electric energy metering verification production cost according to branch and bound algorithms It is as follows: library demand being mended by inquiry newly increased requirement, inquiry and inquiry plan performance determines newly increased requirement, passes through Help Center Finished goods inventory and Help Center new product inventory determine demand to be examined and determine and demand to be dispensed in conjunction with newly increased requirement, to need wait examine and determine Ask, demand to be dispensed, it is planned, in batches inventory, detection capability and distribution capacity as input data carry out redundancy scheduling, Output calibrating plan and distribution plan, judge calibrating plan and distribution plan whether meet demand, if satisfied, then further judgement Whether whole schedulings are all satisfied demand, if satisfied, then carrying out plan confirmation and exporting whole schedulings, such as buying scheduling, calibrating Production scheduling, inventory's scheduling and dispatching scheduling;If calibrating plan and distribution plan are unsatisfactory for demand, carry out tune ginseng, allot or It gives and is unsatisfactory for any mode in feedback, until whole schedulings are all satisfied demand.
Electric energy metering verification production of intelligent scheduling method and intelligent program system based on branch and bound algorithms of the invention It using branch and bound algorithms, is predicted suitable for the optimal scheduling to Unpredictability, and calculating step is few, computational efficiency Height is good for inserting the emergency situations adaptability such as single.
Electric energy metering verification production of intelligent scheduling method combination electrical energy measurement inspection based on branch and bound algorithms of the invention Determine the minimum model constraint condition of the minimum model of production cost, electric energy metering verification production cost and branch and bound algorithms obtain buying Schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter, are adopted by controlling cost reasonable arrangement Purchase, calibrating production, inventory's turnover and dispatching.
Electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms of the invention obtains buying arrival, inspection It produces calmly, dispense full-range intelligent scheduling, effectively evaded the deficiency of artificial experience, realized section's length of schooling of metering production plan Fixed, efficiently execution.
Electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms of the invention not only meets in time to be supplied Electric unit and its station institute (two fraction libraries and straight match library) use table demand, while substantially cutting down center inventory and production cost, are Measurement centre realizes that intelligent running provides strong support.
Further, the above-mentioned electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms, further includes: logical Crossing and assigning the minimum model constraint condition of each electric energy metering verification production cost is equation, calculates initiated purchase parameter, initial inspection Determine manufacturing parameter, initial inventory parameter and initially dispenses parameter.
Further, the above-mentioned electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms, further includes:
Any parameter progress branch for not meeting integer requirement is chosen from initial parameter data set, obtains at least two points Parameter data set after branch, according to parameter data set after branch and the minimum model of electric energy metering verification production cost, after obtaining branch Model current value;
Model current value is judged after branch whether on model between dividing value and model floor value, if so, to the branch Supplemental characteristic concentrates any parameter for not meeting integer requirement to carry out branch afterwards, parameter data set after branch again is obtained, according to this Parameter data set obtains model current value after branch again after branch again, and whether model current value is in the model upper bound after judging branch again Between value and model floor value, if so, parameter data set meets electric energy metering verification production cost simultaneously after the branch Minimum model and the minimum model constraint condition of electric energy metering verification production cost, then adopt according to parameter data set editor after the branch Purchase schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter.
Further, the above-mentioned electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms, further includes: if Model current value between dividing value and model floor value, then deletes parameter data set after the branch not on model.
The present invention improves inventory's turnaround speed by control inventory cost, minimizes the order that production is completed and occupies in library Time allots the order that production is completed to move out of inventory space as early as possible;By control overtime work cost with arrangement few as far as possible Overtime work, so that the production capacity in normal work be pushed to utilize;Production is reduced by control fluctuation punishment cost Fluctuation guarantees that every daily planning arranges uniform and stable as far as possible;The stage body vacant time is reduced by control set up cost, is protected Card makes full use of production capacity.
Further, the minimum model constraint condition of electric energy metering verification production cost is as follows:
Wherein, hiFor the inventory cost of product i unit time, γoFor the earliest distribution time of order O,For in order O Product i produces end time, αoFor the order O time started,For the demand of product i in order O,For product i in order O The t days yield,To change production cost, it isIncreasing function, kiFor the library for indicating the product i unit time It is saved as this,For product the t days yield of i, umtTo examine and determine the t days position in storehouse numbers of line m,
Further, the minimum model constraint condition of electric energy metering verification production cost is as follows:
First, order start time is more early than the order production time started:
Wherein, αoFor the order O time started,Indicate that product i produces the time started in order O;
Second, difference of the production end time earlier than order deadline and the earliest distribution time of order in order:
Wherein,End time, β are produced for order OoFor order O deadline;
The yield of third, daily order is less than production capacity:
Wherein, zmtIt indicates to influence the detection capability of calibrating line m in the case of maintenance in the t days;vmtIndicate the t days overtime work feelings The detection capability of calibrating line m is influenced under condition, um*nm*lmIndicate the detection capability (detection capability=position in storehouse number * platform of calibrating line m Body number * takes turns number),
4th, the yield of order meets order demand amount within the production cycle
Wherein,For the demand of product i in order O,For product the t days yield of i;
5th, the end time is produced earlier than earliest distribution time, and earliest distribution time is earlier than order deadline:
Wherein, γoFor the earliest distribution time of order O,End time, β are produced for product i in order OoIt is cut for order O The only time;
6th, the t days yield of each order O and be product the t days yield of i:
Wherein,Indicate product the t days yield of i in order O,For product the t days yield of i;
7th, guarantee product continuous production within the production cycle in each order:
Wherein,Indicate product the t days yield of i in order O.
For embodiment of the method, for simple description, therefore, it is stated as a series of action combinations, but this field Technical staff should be aware of, and embodiment of that present invention are not limited by the describe sequence of actions, because implementing according to the present invention Example, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know that, specification Described in embodiment belong to preferred embodiment, the actions involved are not necessarily necessary for embodiments of the present invention.
Fig. 4 is the electric energy metering verification production of intelligent program system block diagram of the invention based on branch and bound algorithms, referring to Fig. 4, electric energy metering verification production of intelligent scheduling based on branch and bound algorithms of the realization based on the above method provided by the invention System, comprising:
Model and model constraint condition construct module, for influencing element, calibrating Influence of production element, inventory based on buying Influencing element and dispatching influences element and constructs the minimum model of electric energy metering verification production cost, influences element, calibrating based on buying Influence of production element, inventory, which influence element and dispatching, to be influenced the minimum model of element building electric energy metering verification production cost and constrains item Part;
Initial parameter data set acquisition module meets the minimum model constraint item of electric energy metering verification production cost for choosing The initial parameter data set of part, the initial parameter data set are joined by initiated purchase parameter, initial proving manufacturing parameter, initial inventory Several and initial dispatching parameter composition;
Initial parameter data set screening module, for judging whether initial parameter data set meets electric energy metering verification production The integer requirement of the minimum model of cost purchases schduling parameter according to initial parameter data set editor, calibrating produces if meeting Schduling parameter, inventory's schduling parameter and dispatching schduling parameter;
Model value delimits module, for not meeting the minimum model of electric energy metering verification production cost in initial parameter data set Integer when requiring, according to initial parameter data set and the minimum model of electric energy metering verification production cost, obtain model floor value, And according to the minimum model constraint condition of electric energy metering verification production cost and the minimum model of electric energy metering verification production cost, obtain Dividing value on model;
Parameter data set obtains module after branch, for carrying out branch to initial parameter data set, obtains at least two points Parameter data set after branch obtains model and works as according to parameter data set after branch and the minimum model of electric energy metering verification production cost Preceding value;
Parameter data set optimization module after branch, for judgment models current value whether on model dividing value and model lower bound Between value, if so, further carrying out branch to parameter data set after the branch, parameter data set is full simultaneously after the branch The minimum model of sufficient electric energy metering verification production cost and the minimum model constraint condition of electric energy metering verification production cost, then according to should Parameter data set editor purchases schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter after branch.
The electric energy metering verification that present invention application operational optimization theory, logistics integration, intelligent production scheduling theory are established It is run in electric energy metering verification production of intelligent program system, and relies on Tianjin Power Grid existing by the minimum model of production cost MDS system (Measurement of Integrated Production Dispatching System, in provincial metering Heart production scheduling platform) and SG-186 system (State Grid Corporation of China's integration firm grade information integrated platform), realize metering inspection Determine the intelligence of production scheduling.
Electric energy metering verification production of intelligent scheduling method and intelligent program system based on branch and bound algorithms of the invention It using branch and bound algorithms, is predicted suitable for the optimal scheduling to Unpredictability, and calculating step is few, computational efficiency Height is good for inserting the emergency situations adaptability such as single.
Electric energy metering verification production of intelligent program system combination electrical energy measurement inspection based on branch and bound algorithms of the invention Determine the minimum model constraint condition of the minimum model of production cost, electric energy metering verification production cost and branch and bound algorithms obtain buying Schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter, are adopted by controlling cost reasonable arrangement Purchase, calibrating production, inventory's turnover and dispatching.
Electric energy metering verification production of intelligent program system based on branch and bound algorithms of the invention obtains buying arrival, inspection It produces calmly, dispense full-range intelligent scheduling, effectively evaded the deficiency of artificial experience, realized section's length of schooling of metering production plan Fixed, efficiently execution.
Electric energy metering verification production of intelligent program system based on branch and bound algorithms of the invention not only meets in time to be supplied Electric unit and its station institute (two fraction libraries and straight match library) use table demand, while substantially cutting down center inventory and production cost, are Measurement centre realizes that intelligent running provides strong support.
Further, initial parameter data set acquisition module is also used to be produced by assigning each electric energy metering verification This minimum model constraint condition is equation, calculates initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and initial Dispense parameter.
Further, parameter data set obtains module after branch, is also used to choose from initial parameter data set and does not meet Any parameter that integer requires carries out branch, parameter data set after at least two branches is obtained, according to parameter data set after branch With the minimum model of electric energy metering verification production cost, model current value after branch is obtained;
Parameter data set optimization module after branch, be also used to judge after branch model current value whether on model dividing value with Between model floor value, if so, concentrate any parameter for not meeting integer requirement to carry out branch supplemental characteristic after the branch, Parameter data set judges again according to model current value after parameter data set acquisition after this again branch again branch after obtaining branch again Whether model current value is on model between dividing value and model floor value after branch, if so, the supplemental characteristic after the branch Collect while meeting the minimum model of electric energy metering verification production cost and the minimum model constraint condition of electric energy metering verification production cost, Schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching are then purchased according to parameter data set editor after the branch Schduling parameter.
Further, parameter data set optimization module after branch, be also used in model current value not on model dividing value with When between model floor value, parameter data set after the branch is deleted.
For system embodiments, since it is basically similar to the method embodiment, related so being described relatively simple Place illustrates referring to the part of embodiment of the method.
Electric energy metering verification production of intelligent scheduling method application principle process based on branch and bound algorithms of the invention is such as Shown in Fig. 5:
Influence factor data are analyzed;Relevance between influence factor data is analyzed;According to influence factor number Relevance between carries out advanced scheduling theoretical research;Design data model;Founding mathematical models;According to influence factor data Between relevance from sales service application system, metering production scheduling platform, metering warehousing system, power information acquisition system Data pick-up data;Electric energy metering verification production of intelligent program system is built, according to the data of extraction and mathematics model realization Scheduling plan;Continuous optimization is carried out to scheduling plan.
Model of the invention is with inventory cost, production cost (set up cost, fluctuation punishment cost, overtime work life Produce cost) minimum objective function.The building of model will fully consider production, inventory, the triangular restricting relation of dispatching.Through life Certain inventory space will be occupied by producing the warehousing finished products completed, while inventory limitation can constrain production, the finished product outbound meeting of dispatching Inventory space is moved out of, reserves inventory space for production.Relationship between each component and influence factor is as follows: will divide the need in library It asks and mentions registration order pond, the demand in point library is distributed to consolidated storage and production line by order pond, and production line is according to stock ability (inventory Capacity, in Kuku storage, transportation inventory amount) finished product is stored to consolidated storage, production line is according to production requirement from consolidated storage tune New product outbound is taken, the condition for needing to meet includes: demand storage space according to shared by the limitation of vehicle storage space number and unit product in point library Number dispenses in time, and the unit inventory cost of product is minimum in consolidated storage, order time window, product type and demand in order pond It measures, the minimum and fixed overtime work cost of stage body fixed cost of production is minimum in production process, fixes in overtime work cost, to examine calculating Consider, the occupancy of the position in storehouse number of stage body, the calibrating wheel number and overtime work calibrating coefficient of stage body.
The delivery process of electric energy metering device of the invention is as follows: the dispatching of metering device includes three layers: first layer is meter Amount center, measurement centre include consolidated storage and inspection center;The second layer is each point of library (region library);Third layer (supplies for each station institute Electric branch company).Measurement centre is responsible for the detection of metering device and dispenses to each point of library.It stands and is responsible for carrying out metering device Requirement forecasting, plan declare, point library be responsible for summarizing each station demand and report to measurement centre, measurement centre receives respectively After a demand application for dividing library, carries out the principle to divide based on library, supplemented by consolidated storage and carry out demand assignment.
Model of the invention has comprehensively considered Central Security inventory, rotation working system, equipment detection capability and its maintenance The factors such as plan, and will affect factor and arrange, sort out, determine calibrating in model, inventory, overtime work constraint.Finally establish with Cost and the minimum objective function of inventory are decision variable based on mixed using daily plan for cargo arrival, calibrating plan, distribution plan Close the metering production planning optimization model of integer programming.
The output of model of the invention includes day calibrating plan and distribution plan.Wherein daily calibrating plan is that basis should The combined factors such as actual demand, arrival situation, inventories, production capacity consider in period, the guidance worked out as unit of day Measurement centre's detection/calibrating plan.After the plan combination measurement centre safety inventory situation is balanced, adjusts, day is realized The aid decision of output and the day condition of production.Distribution plan be actual demand in the order period according to demand, calibrating situation, The combined factors such as inventories, distribution capacity consider, export the demand order with distribution time window, that works out as unit of day is thin Change the distribution plan to each power supply company, every kind of product.The plan and production, inventory, arrival situation link, and help manager Realize the aid decision of the day dispatching situation in order time window.
The method that model of the invention uses mixed integer programming realizes arrival, calibrating, the full-range Intelligent drainage of dispatching Journey has effectively evaded the deficiency of artificial experience, realizes that the science of metering production plan is formulated, efficiently executed.
The present invention is in electric energy metering verification production link, and with high-level plan scheduling technology, business linkage association is established in research Make model, driving operation flow seamless connection, automatic execution, the new model of each link collaboration operating of building metering material supply. Realize transformation of the measurement verification production from " plan driving " to " data-driven " mode.
Present invention prediction result according to demand formulates buying and production plan.The influence factor of wisdom production scheduling is analyzed, It is theoretical according to advanced scheduling to obtain index parameter required for scheduling optimizes, using optimization scheduling model, determine production meter It draws.Production scheduling comprehensively considers mainly in combination with five demand, buying, production, storage and delivery management aspects.By analysis, It mainly include requirement forecasting, material supply cycle, material plan for cargo arrival, Central Security inventory, rotation working system, equipment calibrating Ability and its maintenance plan, transport etc..Wisdom production scheduling is determined by system parameter and principle of decision-making, these ginsengs Several and principle of decision-making correlation theory limits the inventory limitation of measurement centre, goes out storage ability, detection capability, overtime work and maintenance The parameter indexes such as situation, distribution capacity, safety stock, by advanced scheduling theory establish mathematical model can decision it is every out Plan for cargo arrival, calibrating plan and the distribution plan of the moon.
In addition, the present invention builds electric energy metering verification production of intelligent program system, intelligent production is carried out according to input data Scheduling achievees the purpose that wisdom production scheduling, and reduction dispatching delay and product shortage of goods are disconnected, and raising inventory turnover ratio, which is reduced, improves inspection Survey line utilization rate and the precision of buying operate for realization power grid logistics wisdomization provides strong support.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to the foregoing embodiments Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation Technical solution documented by example is modified or equivalent replacement of some of the technical features;And these modification or Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.

Claims (10)

1. a kind of electric energy metering verification production of intelligent scheduling method based on branch and bound algorithms characterized by comprising
Influencing element and dispatching based on buying influence element, calibrating Influence of production element, inventory influences element building electrical energy measurement The minimum model of production cost is examined and determine, being based on purchasing influences element, examines and determine Influence of production element, inventory influences element and dispense influence Element constructs the minimum model constraint condition of electric energy metering verification production cost;
Choose the initial parameter data set for meeting the minimum model constraint condition of electric energy metering verification production cost, the initial parameter number It is made of according to collection initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and initial dispatching parameter;
Judge whether initial parameter data set meets the integer requirement of the minimum model of electric energy metering verification production cost:
If meeting, schduling parameter, calibrating production scheduling parameter, inventory's scheduling ginseng are purchased according to initial parameter data set editor Number and dispatching schduling parameter;
If not meeting, according to initial parameter data set and the minimum model of electric energy metering verification production cost, model lower bound is obtained Value, and according to the minimum model constraint condition of electric energy metering verification production cost and the minimum model of electric energy metering verification production cost, Obtain dividing value on model;Branch is carried out to initial parameter data set simultaneously, obtains parameter data set after at least two branches, according to Parameter data set and the minimum model of electric energy metering verification production cost after branch obtain model current value;
Whether judgment models current value is on model between dividing value and model floor value, if so, further to joining after the branch Number data sets carry out branches, after the branch parameter data set simultaneously meet the minimum model of electric energy metering verification production cost and The minimum model constraint condition of electric energy metering verification production cost then purchases scheduling ginseng according to parameter data set editor after the branch Number, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter.
2. the electric energy metering verification production of intelligent scheduling method according to claim 1 based on branch and bound algorithms, special Sign is, further includes: by assigning each minimum model constraint condition of electric energy metering verification production cost as equation, calculates initial It purchases parameter, initial proving manufacturing parameter, initial inventory parameter and initially dispenses parameter.
3. the electric energy metering verification production of intelligent scheduling method according to claim 1 based on branch and bound algorithms, special Sign is, further includes:
Any parameter progress branch for not meeting integer requirement is chosen from initial parameter data set, after obtaining at least two branches Parameter data set obtains model after branch according to parameter data set after branch and the minimum model of electric energy metering verification production cost Current value;
Model current value is judged after branch whether on model between dividing value and model floor value, if so, to joining after the branch Any parameter that integer requirement is not met in number data set carries out branch, obtains parameter data set after branch again, is divided again according to this Parameter data set obtains model current value after branch again after branch, judgement again after branch model current value whether on model dividing value with Between model floor value, if so, to meet electric energy metering verification production cost minimum simultaneously for parameter data set after the branch Model and the minimum model constraint condition of electric energy metering verification production cost then purchase row according to parameter data set editor after the branch Journey parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter.
4. the electric energy metering verification production of intelligent scheduling method according to claim 3 based on branch and bound algorithms, special Sign is, further includes: if model current value between dividing value and model floor value, deletes parameter number after the branch not on model According to collection.
5. the electric energy metering verification production of intelligent scheduling method according to claim 4 based on branch and bound algorithms, special Sign is that the minimum model constraint condition of electric energy metering verification production cost is as follows:
Wherein, hiFor the inventory cost of product i unit time, γOFor the earliest distribution time of order O,For product i in order O Produce end time, αOFor the order O time started,For the demand of product i in order O,For product i the t days in order O Yield,To change production cost, it isIncreasing function, kiFor indicate the product i unit time inventory at This,For product the t days yield of i, umtTo examine and determine the t days position in storehouse numbers of line m,
6. the electric energy metering verification production of intelligent scheduling method according to claim 5 based on branch and bound algorithms, special Sign is that the minimum model constraint condition of electric energy metering verification production cost is as follows:
First, order start time is more early than the order production time started:
Wherein, αOFor the order O time started,Indicate that product i produces the time started in order O;
Second, difference of the production end time earlier than order deadline and the earliest distribution time of order in order:
Wherein,End time, β are produced for order OOFor order O deadline;
The yield of third, daily order is less than production capacity:
Wherein, zmtIt indicates to influence the detection capability of calibrating line m in the case of maintenance in the t days;vmtIndicate right in the case of working overtime the t days The detection capability for examining and determine line m influences, um*nm*lmIndicate the detection capability (detection capability=position in storehouse number * stage body number * wheel of calibrating line m Number),
4th, the yield of order meets order demand amount within the production cycle
Wherein,For the demand of product i in order O,For product the t days yield of i;
5th, the end time is produced earlier than earliest distribution time, and earliest distribution time is earlier than order deadline:
Wherein, γOFor the earliest distribution time of order O,End time, β are produced for product i in order OOWhen ending for order O Between;
6th, the t days yield of each order O and be product the t days yield of i:
Wherein,Indicate product the t days yield of i in order O,For product the t days yield of i;
7th, guarantee product continuous production within the production cycle in each order:
Wherein,Indicate product the t days yield of i in order O.
7. a kind of electric energy metering verification production of intelligent row based on branch and bound algorithms realized based on claim 1 the method Journey system characterized by comprising
Model and model constraint condition construct module, for being influenced based on buying influence element, calibrating Influence of production element, inventory Element and dispatching influence element and construct the minimum model of electric energy metering verification production cost, influence element, calibrating production based on buying Influence element, inventory influences element and dispatching influences element and constructs the minimum model constraint condition of electric energy metering verification production cost;
Initial parameter data set acquisition module meets the minimum model constraint condition of electric energy metering verification production cost for choosing Initial parameter data set, the initial parameter data set by initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and Initial dispatching parameter composition;
Initial parameter data set screening module, for judging whether initial parameter data set meets electric energy metering verification production cost The integer requirement of minimum model purchases schduling parameter, calibrating production scheduling according to initial parameter data set editor if meeting Parameter, inventory's schduling parameter and dispatching schduling parameter;
Model value delimits module, for not meeting the whole of the minimum model of electric energy metering verification production cost in initial parameter data set When number requires, according to initial parameter data set and the minimum model of electric energy metering verification production cost, model floor value, and root are obtained According to the minimum model constraint condition of electric energy metering verification production cost and the minimum model of electric energy metering verification production cost, model is obtained Upper dividing value;
Parameter data set obtains module after branch, for carrying out branch to initial parameter data set, after obtaining at least two branches Parameter data set obtains model current value according to parameter data set after branch and the minimum model of electric energy metering verification production cost;
Parameter data set optimization module after branch, for judgment models current value whether on model dividing value and model floor value it Between, if so, further carrying out branch to parameter data set after the branch, parameter data set meets electricity simultaneously after the branch The minimum model of energy measurement verification production cost and the minimum model constraint condition of electric energy metering verification production cost, then according to the branch Parameter data set editor purchases schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching schduling parameter afterwards.
8. the electric energy metering verification production of intelligent program system according to claim 7 based on branch and bound algorithms, special Sign is that initial parameter data set acquisition module is also used to by assigning each minimum model of electric energy metering verification production cost Constraint condition is equation, calculates initiated purchase parameter, initial proving manufacturing parameter, initial inventory parameter and initially dispenses parameter.
9. the electric energy metering verification production of intelligent program system according to claim 7 based on branch and bound algorithms, special Sign is,
Parameter data set obtains module after branch, is also used to choose any for not meeting integer requirement from initial parameter data set Parameter carries out branch, parameter data set after at least two branches is obtained, according to parameter data set after branch and electric energy metering verification The minimum model of production cost obtains model current value after branch;
Parameter data set optimization module after branch, be also used to judge after branch model current value whether on model dividing value and model Between floor value, if so, concentrating any parameter for not meeting integer requirement to carry out branch supplemental characteristic after the branch, obtain Parameter data set after branch again judges branch again according to model current value after parameter data set acquisition after this again branch again branch Whether model current value is on model between dividing value and model floor value afterwards, if so, parameter data set is same after the branch When meet the minimum model of electric energy metering verification production cost and the minimum model constraint condition of electric energy metering verification production cost, then root Schduling parameter, calibrating production scheduling parameter, inventory's schduling parameter and dispatching scheduling are purchased according to parameter data set editor after the branch Parameter.
10. the electric energy metering verification production of intelligent program system according to claim 9 based on branch and bound algorithms, special Sign is, parameter data set optimization module after branch, is also used in model current value dividing value and model floor value not on model Between when, delete parameter data set after the branch.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113673885A (en) * 2021-08-25 2021-11-19 浙江中控技术股份有限公司 Method and system for determining scheduling plan
CN113822536A (en) * 2021-08-26 2021-12-21 国网河北省电力有限公司邢台供电分公司 Power distribution network index evaluation method based on branch definition algorithm
WO2023130709A1 (en) * 2022-01-06 2023-07-13 青岛海尔科技有限公司 Production scheduling method and apparatus for household appliance device, device, and storage medium
CN113673885B (en) * 2021-08-25 2024-05-14 浙江中控技术股份有限公司 Method and system for determining scheduling plan

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106875056A (en) * 2017-02-17 2017-06-20 国网天津市电力公司 A kind of metering device production planning optimization method based on mixed integer programming
CN108108994A (en) * 2017-11-10 2018-06-01 浙江中控软件技术有限公司 For the plan optimization method of chemical enterprise supply chain
CN108665092A (en) * 2018-04-17 2018-10-16 东莞理工学院 A kind of whole process scheduled production and optimization method based on mixing glowworm swarm algorithm

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106875056A (en) * 2017-02-17 2017-06-20 国网天津市电力公司 A kind of metering device production planning optimization method based on mixed integer programming
CN108108994A (en) * 2017-11-10 2018-06-01 浙江中控软件技术有限公司 For the plan optimization method of chemical enterprise supply chain
CN108665092A (en) * 2018-04-17 2018-10-16 东莞理工学院 A kind of whole process scheduled production and optimization method based on mixing glowworm swarm algorithm

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
李占丞等: "装配型企业订货量分配与订单排产联合决策研究", 《运筹与管理》 *
金剑等: "分支定界法在制丝多线排产优化中的应用", 《自动化仪表》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113673885A (en) * 2021-08-25 2021-11-19 浙江中控技术股份有限公司 Method and system for determining scheduling plan
CN113673885B (en) * 2021-08-25 2024-05-14 浙江中控技术股份有限公司 Method and system for determining scheduling plan
CN113822536A (en) * 2021-08-26 2021-12-21 国网河北省电力有限公司邢台供电分公司 Power distribution network index evaluation method based on branch definition algorithm
WO2023130709A1 (en) * 2022-01-06 2023-07-13 青岛海尔科技有限公司 Production scheduling method and apparatus for household appliance device, device, and storage medium

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