CN111415019A - Method and device for processing article warehousing reservation request information - Google Patents

Method and device for processing article warehousing reservation request information Download PDF

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CN111415019A
CN111415019A CN201910007139.1A CN201910007139A CN111415019A CN 111415019 A CN111415019 A CN 111415019A CN 201910007139 A CN201910007139 A CN 201910007139A CN 111415019 A CN111415019 A CN 111415019A
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刘寅亮
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
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    • G—PHYSICS
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    • G06Q—INFORMATION 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
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders

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Abstract

The invention discloses a method and a device for processing article warehousing reservation request information, and relates to the field of warehousing and logistics. One embodiment of the method comprises: receiving reservation request information corresponding to the set of articles to be warehoused; acquiring reservation information corresponding to the reservation request based on the reservation type information and the time information of requesting reservation; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information; generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails. The implementation method can provide different reservation modes according to different requirements, utilizes big data to obtain comprehensive reservation information, utilizes an optimization model to enable a calculation result to find a balance point under the condition of balancing as much as possible, is friendly to suppliers, and does not need manual experience.

Description

Method and device for processing article warehousing reservation request information
Technical Field
The invention relates to the field of warehouse logistics, in particular to a method and a device for processing article warehousing reservation request information.
Background
How to make a decision on the articles reserved for storage is very important in the field of warehouse logistics, so that the use efficiency of a warehouse is maximized. In the prior art, a system generally gives out a priority score of a purchase order reserved for warehousing according to a fixed standard, and warehouses manually check whether the purchase order meets warehousing conditions according to the sequence of the priority score from top to bottom to determine a result of the reserved warehousing.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
in the prior art, information considered during scoring is rough; the manual experience not only consumes the labor cost but also is unreliable, all the situations are difficult to consider, the decision effect is very unstable, and a comprehensive optimal decision is difficult to obtain.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for processing article warehousing reservation request information, which can provide different reservation modes according to different requirements, obtain comprehensive reservation information by using big data, find a balance point in a calculation result under a trade-off as much as possible by using an optimization model, are friendly to a supplier, and do not need manual experience.
To achieve the above object, according to an aspect of the embodiments of the present invention, there is provided a method for processing article warehousing reservation request information, including:
receiving reservation request information corresponding to the set of articles to be warehoused; the reservation request information at least comprises reservation type information and reservation request time information, wherein the reservation type comprises a first reservation type and a second reservation type; the first reservation type is that the time for requesting reservation is in a preset time period; the second reservation type is that the time for requesting reservation is after the preset time period;
acquiring reservation information corresponding to the reservation request based on the reservation type information and the time information of requesting reservation; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information;
generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
Optionally, when the reservation request is of a first reservation type and the time of requesting reservation is the kth day, generating reservation result information of the reservation request according to the reservation information, including:
determining the total volume data V of the set of articles to be put in storage according to the article volume information0(ii) a Determining the volume data VO of the goods leaving warehouse of the k day according to the volume information of the goods and the goods sales forecast information of the k dayk(ii) a Determining the goods warehousing volume data VI of the k day according to the goods volume information and the goods set information reserved successfully in the k dayk；
Judgment V0And (VO)k-VIk) The magnitude relationship of (1);
V0＜(VOk-VIk) Generating reservation success information and recording the information of the article set to be warehoused corresponding to the reservation request; v0≥PkThen, the reservation failure information is generated.
Optionally, when the reservation request is of a second reservation type and the time of requesting reservation is day (D +1), the reservation information further includes: spot inventory information and historical sales information of the articles; wherein D is the number of days of the preset time period;
generating reservation result information of the reservation request according to the reservation information, comprising:
according to the reservation information, determining the predicted quantity value of the stock shortage of each type of article in the article set to be warehoused on the (D +1) th day, the single article value of each type of article, the set volume value of the article set to be warehoused corresponding to each reservation request and the storage capacity limit value on the (D +1) th day;
determining the collection value of the to-be-warehoused item collection corresponding to each reservation request according to the estimated quantity of the out-of-stock and the value of the single item;
selecting reservation requests meeting constraint conditions from all reservation requests of the second reservation type according to the collection value, the collection volume value and the storage capacity limit value of the (D +1) th day, and returning reservation success results for the reservation requests; returning a reservation failure result for the reservation request which does not meet the constraint condition;
the constraint condition is that the sum of the collection values is the highest and the sum of the collection volume values is less than the storage capacity limit value.
Optionally, determining an expected backorder quantity value of each type of article in the set of articles to be warehoused on the (D +1) th day includes: determining the predicted quantity value of the stock shortage of each type of articles in the article set to be warehoused according to the article sales prediction information in the future (D +1) day, the article stock quantity in the stock information and the article set information reserved successfully in the future D days;
determining the value of each type of article in the set of articles to be warehoused, including: determining the value of each type of article according to the historical sales information of the articles in the article set to be warehoused;
determining a storage capacity limit value for day (D +1) comprising: determining the volume value V of the residual stock capacity according to the stock information of the spot goodsa(ii) a Determining the total volume value V of the reserved successful articles according to the reserved successful article set information in the future D daysb(ii) a With (V)a-Vb) As a storage capacity limit value.
Optionally, the constraint condition is:
Figure BDA0001935893060000031
wherein x isj∈{0，1}；
Wherein m represents the number of the article sets to be warehoused corresponding to the reservation requests of all the second reservation types; c. CjRepresenting the collection value of the jth collection of articles to be warehoused; a isjRepresenting the set volume value of the jth item set to be warehoused; b represents a storage capacity limit value; x is the number ofj1 represents that the j-th article to be warehoused is successfully reserved; x is the number ofj0 represents the j-th article set to be warehousedThe reservation fails.
According to still another aspect of the embodiments of the present invention, there is provided an apparatus for processing reservation request information for warehousing of an article, including:
the receiving module is used for receiving reservation request information corresponding to the collection of the articles to be warehoused; the reservation request information at least comprises reservation type information and reservation request time information, wherein the reservation type comprises a first reservation type and a second reservation type; the first reservation type is that the time for requesting reservation is in a preset time period; the second reservation type is that the time for requesting reservation is after the preset time period;
the acquisition information module is used for acquiring reservation information corresponding to the reservation request based on the reservation type information and the reservation request time information; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information;
the decision module is used for generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
Optionally, when the reservation request is of a first reservation type and the time of requesting reservation is the kth day, the decision module generates reservation result information of the reservation request according to the reservation information, and the reservation result information includes:
determining the total volume data V of the set of articles to be put in storage according to the article volume information0(ii) a Determining the volume data VO of the goods leaving warehouse of the k day according to the volume information of the goods and the goods sales forecast information of the k dayk(ii) a Determining the goods warehousing volume data VI of the k day according to the goods volume information and the goods set information reserved successfully in the k dayk；
Judgment V0And (VO)k-VIk) The magnitude relationship of (1);
V0＜(VOk-VIk) Generating reservation success information and recording the information of the article set to be warehoused corresponding to the reservation request; v0≥PkWhen, make an appointmentAnd (4) failure information.
Optionally, when the reservation request is of a second reservation type and the time of requesting reservation is day (D +1), the reservation information further includes: spot inventory information and historical sales information of the articles; wherein D is the number of days of the preset time period;
the decision module generates reservation result information of the reservation request according to the reservation information, and the reservation result information comprises the following steps:
according to the reservation information, determining the predicted quantity value of the stock shortage of each type of article in the article set to be warehoused on the (D +1) th day, the single article value of each type of article, the set volume value of the article set to be warehoused corresponding to each reservation request and the storage capacity limit value on the (D +1) th day;
determining the collection value of the to-be-warehoused item collection corresponding to each reservation request according to the estimated quantity of the out-of-stock and the value of the single item;
selecting reservation requests meeting constraint conditions from all reservation requests of the second reservation type according to the collection value, the collection volume value and the storage capacity limit value of the (D +1) th day, and returning reservation success results for the reservation requests; returning a reservation failure result for the reservation request which does not meet the constraint condition;
the constraint condition is that the sum of the collection values is the highest and the sum of the collection volume values is less than the storage capacity limit value.
Optionally, the determining module determines an expected backorder quantity value of each type of item in the set of items to be warehoused on the (D +1) th day, and includes: determining the predicted quantity value of the stock shortage of each type of articles in the article set to be warehoused according to the article sales prediction information in the future (D +1) day, the article stock quantity in the stock information and the article set information reserved successfully in the future D days;
determining the value of each type of article in the set of articles to be warehoused, including: determining the value of each type of article according to the historical sales information of the articles in the article set to be warehoused;
determining a storage capacity limit value for day (D +1) comprising: according to the stock information of the spot goodsDetermining a residual volume value Va(ii) a Determining the total volume value V of the reserved successful articles according to the reserved successful article set information in the future D daysb(ii) a With (V)a-Vb) As a storage capacity limit value.
Optionally, the constraint condition is:
Figure BDA0001935893060000051
wherein x isj∈{0，1}；
Wherein m represents the number of the article sets to be warehoused corresponding to the reservation requests of all the second reservation types; c. CjRepresenting the collection value of the jth collection of articles to be warehoused; a isjRepresenting the set volume value of the jth item set to be warehoused; b represents a storage capacity limit value; x is the number ofj1 represents that the j-th article to be warehoused is successfully reserved; x is the number ofjAnd 0 represents that the j-th item to be warehoused aggregate reservation fails.
According to another aspect of the embodiments of the present invention, there is provided an electronic device for processing reservation request information for warehousing goods, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for processing the article warehousing reservation request information provided by the invention.
According to still another aspect of the embodiments of the present invention, there is provided a computer-readable medium, on which a computer program is stored, which, when being executed by a processor, implements the method for processing article warehousing reservation request information provided by the present invention.
One embodiment of the above invention has the following advantages or benefits: because different reservation modes are provided according to different requirements, and a technical means of making a decision by acquiring comprehensive reservation information through big data is adopted, the technical problems of single decision and dependence on manual experience in the prior art are solved, and the technical effects of making a decision by utilizing the existing data to the maximum extent, effectively modeling actual problems by using an operational optimization model and finding balance points under the condition of balancing as much as possible are achieved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
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The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic view of a main flow of a method for processing article warehousing reservation request information according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a step of processing article warehousing reservation request information according to an alternative embodiment of the invention;
fig. 3 is a schematic diagram of main modules of an apparatus for processing article warehousing reservation request information according to an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of a main flow of a method for processing article warehousing reservation request information according to an embodiment of the present invention, as shown in fig. 1, including:
step S101, receiving reservation request information corresponding to an article set to be warehoused; the reservation request information at least comprises reservation type information and reservation request time information, wherein the reservation type comprises a first reservation type and a second reservation type; the first reservation type is that the time for requesting reservation is in a preset time period; the second reservation type is that the time for requesting reservation is after the preset time period;
step S101, acquiring reservation information corresponding to the reservation request based on the reservation type information and the reservation request time information; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information;
step S101, generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
The article set to be put in storage can be provided by a supplier and presented in the form of a purchase order or a reservation order; the collection of articles to be warehoused may contain more than one article; a collection of items to be warehoused may correspond to a reservation request.
The invention can provide two different reservation modes, is respectively suitable for different requirement scenes, and can be flexibly selected and used in practical application; the first reservation type can be suitable for reservation warehousing of which the number of days is not more than a preset number of days threshold, and the second reservation type can be reservation warehousing of the next day of the preset number of days threshold; the preset number of days threshold value can be flexibly adjusted according to actual requirements;
for example, if the preset number-of-days threshold is set to 10 days, warehousing for 1 to 10 days in the future may be reserved using the first reservation type, and warehousing for 11 days in the future may be reserved using the second reservation type.
In some practical application scenarios, when the first reservation type is used for reservation warehousing, the system can return a result of whether reservation is successful in real time according to corresponding reservation information; when the second reservation type is used for reservation warehousing, optimization solving can be carried out according to corresponding reservation information, and whether the reservation is successful or not is uniformly returned for all suppliers which use the type for reservation on the next day;
when the reservation result is determined for different reservation types, the required reservation information is different, so that different reservation information needs to be determined for different reservation warehousing modes.
The invention can provide different reservation modes according to different requirements, obtains comprehensive reservation information by utilizing big data, finds balance points by utilizing an optimization model under the condition of balancing the calculation result as much as possible, is friendly to suppliers and does not need manual experience.
Fig. 2 is a schematic diagram illustrating a step of processing information of an article warehousing reservation request according to an alternative embodiment of the present invention, such as the step of acquiring a reservation request 201 shown in fig. 2;
determining the type of the reservation request 201 includes: a first subscription type 202, a second subscription type 203;
the database 204 can obtain the required reservation information, and the reservation result 205 can be determined by using different decision methods.
In some embodiments, the generating reservation result information of the reservation request according to the reservation information when the reservation request is of a first reservation type and the reservation request time is day k includes:
determining the total volume data V of the set of articles to be put in storage according to the article volume information0(ii) a Determining the volume data VO of the goods leaving warehouse of the k day according to the volume information of the goods and the goods sales forecast information of the k dayk(ii) a Determining the goods warehousing volume data VI of the k day according to the goods volume information and the goods set information reserved successfully in the k dayk；
Judgment V0And (VO)k-VIk) The magnitude relationship of (1);
V0＜(VOk-VIk) Generating reservation success information and recording the information of the article set to be warehoused corresponding to the reservation request; v0≥PkThen, the reservation failure information is generated.
The product of the quantity and the volume of each article in the article set to be warehoused can be calculated firstly, and then the results of all the products are accumulated, so that the total volume V of the articles to be warehoused is obtained0；
The sales prediction database may be a prediction result determined in advance, and the sales prediction information of the article may be directly obtained by querying the database.
The product of the quantity and the volume of each article in the k-th article sales forecast information can be calculated, and then the results of all the products are accumulated, so that the k-th article ex-warehouse volume VO is obtainedk(ii) a Similarly, the product of the quantity and the volume of each article in the article set with successful reservation on the k day can be calculated, and then the results of all the products are accumulated to obtain the article warehousing volume VI of the k dayk；
Usually as VOk-VIkThe volume is planned directly as the volume of the library on day k, but max (0, VO) may be used to prevent negative interferencek-VIk) Planned volume of storage P as day kk(ii) a When VO is presentk＜VIkWhen is, i.e. PkWhen the reservation time is 0, the article to be put in storage is not suitable to be accepted at the time, namely, the decision of reservation failure can be directly made; when V is0≥PkWhen the storage capacity plan volume is too large, the current storage environment is not suitable for accepting the article set, and a decision of reservation failure can be made; when 0 < V0＜PkIn time, the current warehousing environment can be considered to be capable of accommodating the set of articles to be warehoused, and a decision of successful reservation can be made.
The first booking type can be regarded as a booking warehousing mode of 'first-come first-serve' under the condition that the warehouse can accommodate, and the decision is made by combining sales prediction and data of successful booking, so that the single scoring decision is more reasonable than that in the prior art.
In some embodiments, when the reservation request is of a second reservation type and the time of requesting reservation is day (D +1), the reservation information further includes: spot inventory information and historical sales information of the articles; wherein D is the number of days of the preset time period;
generating reservation result information of the reservation request according to the reservation information, comprising:
according to the reservation information, determining the predicted quantity value of the stock shortage of each type of article in the article set to be warehoused on the (D +1) th day, the single article value of each type of article, the set volume value of the article set to be warehoused corresponding to each reservation request and the storage capacity limit value on the (D +1) th day;
determining the collection value of the to-be-warehoused item collection corresponding to each reservation request according to the estimated quantity of the out-of-stock and the value of the single item;
selecting reservation requests meeting constraint conditions from all reservation requests of the second reservation type according to the collection value, the collection volume value and the storage capacity limit value of the (D +1) th day, and returning reservation success results for the reservation requests; returning a reservation failure result for the reservation request which does not meet the constraint condition;
the constraint condition is that the sum of the collection values is the highest and the sum of the collection volume values is less than the storage capacity limit value.
When the reservation request is of the second reservation type, the reservation information may specifically include: the method comprises the steps of acquiring spot stock information, item set information reserved successfully in the future D days, item sales prediction information in the future (D +1) days, historical sales information of each type of items in the item set to be warehoused and total volume of the items to be warehoused; wherein D is the number of days in a preset time period;
wherein, each required information can be obtained according to the following method:
acquiring spot stock information through inquiry;
inquiring and obtaining the information of the item set which is reserved successfully in the next D days from the reservation record;
inquiring and obtaining the article sales forecasting information in the future (D +1) day from the sales forecasting database;
historical sales information of each type of articles in the article set to be warehoused is obtained by inquiring from sales records;
and determining the total volume of the articles to be warehoused corresponding to the set according to the set of the articles to be warehoused.
When the first reservation type of a warehouse is already satisfied, the supplier can select a second reservation type to reserve and put in the warehouse; the supplier can also directly select the second reservation type for reservation warehousing under the condition that the first reservation type is not satisfied; such as: and setting the preset number of days threshold D as 10 days, selecting the second reservation type to reserve and put in the 11 th day in the future, and receiving a reservation result returned by the system on the 2 nd day in the future.
The collection value of the collection of the articles to be warehoused can be regarded as a comprehensive value obtained by combining sales forecast information, inventory information and historical sales information of the articles;
the second reservation type can be regarded as a decision mode that comprehensive reservation information is obtained by utilizing big data, and an optimization model is used for carrying out optimization solution so that a balance point is found out under the condition of balancing as much as possible; the second reservation type considers various information such as the inventory quantity, the volume, the quantity and the volume of the articles in the sales quantity prediction database, the historical sales amount of the articles, the information of the articles which have been reserved successfully and the like, and can perform unified optimization solution on all the article sets to be warehoused using the second reservation type, so as to determine the most valuable article sets to be warehoused under the condition that the storage capacity is met.
In some embodiments, determining the expected backorder quantity value of each type of article in the set of articles to be warehoused on the (D +1) th day includes: determining the predicted quantity value of the stock shortage of each type of articles in the article set to be warehoused according to the article sales prediction information in the future (D +1) day, the article stock quantity in the stock information and the article set information reserved successfully in the future D days;
determining the value of each type of article in the set of articles to be warehoused, including: determining the value of each type of article according to the historical sales information of the articles in the article set to be warehoused;
determining a storage capacity limit value for day (D +1) comprising: determining the volume value V of the residual stock capacity according to the stock information of the spot goodsa(ii) a Determining the total volume value V of the reserved successful articles according to the reserved successful article set information in the future D daysb(ii) a With (V)a-Vb) As a storage capacity limitAnd (5) value making.
Wherein, the predicted quantity of goods out of stock value can be obtained according to the following method:
determining the stock quantity N of the i-th class of articles in the to-be-warehoused article set according to the stock information of the spot articles1i(ii) a According to the information of the item set reserved successfully in the future D days, determining the number N of the i-th items reserved successfully in the item set to be warehoused in the future D days2i(ii) a With (N)1i+N2i) The estimated stock quantity of the ith type of articles in the set of articles to be warehoused is used; and determining the predicted quantity value of the shortage of the i-th type of articles in the to-be-warehoused article set according to the article sales prediction information and the predicted inventory of the articles in the future (D +1) day.
Specifically, the article sales prediction information in the future (D +1) day may be probability distribution information of the cumulative sales of the articles in the future (D +1) day, and may be obtained by querying the sales prediction database; the probability distribution may be a normal distribution.
In some embodiments, a single item value e for each type of itemiCan be determined as follows:
Figure BDA0001935893060000121
0α≤1；
wherein s isiRepresenting the average sales amount of the ith item in the set of items to be warehoused; t is tiRepresenting the average gross profit of the ith item in the collection of items to be warehoused, α is a constant.
In the above equation, the constant α can be adjusted according to actual requirements, and the closer α is to 0, the closer e is representediMore towards the gross profit of the article, α being closer to 1, indicating eiMore towards the sales of the item.
The storage capacity limit represents the available volume characteristic of the warehouse, and the premise that the total volume of the articles to be processed does not exceed the storage capacity limit is that the warehouse receives the set of the articles to be processed.
In some embodiments, the constraint is:
Figure BDA0001935893060000122
wherein x isj∈{0，1}；
Wherein m represents the number of the article sets to be warehoused corresponding to the reservation requests of all the second reservation types; c. CjRepresenting the collection value of the jth collection of articles to be warehoused; a isjRepresenting the set volume value of the jth item set to be warehoused; b represents a storage capacity limit value; x is the number ofj1 represents that the j-th article to be warehoused is successfully reserved; x is the number ofjAnd 0 represents that the j-th item to be warehoused aggregate reservation fails.
Fig. 3 is a schematic diagram of main modules of an apparatus for processing article warehousing reservation request information according to an embodiment of the present invention, and as shown in fig. 3, an apparatus 300 for reserving warehousing includes:
a receiving module 301, configured to receive reservation request information corresponding to a collection of articles to be warehoused; the reservation request information at least comprises reservation type information and reservation request time information, wherein the reservation type comprises a first reservation type and a second reservation type; the first reservation type is that the time for requesting reservation is in a preset time period; the second reservation type is that the time for requesting reservation is after the preset time period;
an obtaining information module 302, configured to obtain reservation information corresponding to the reservation request based on the reservation type information and the time information of requesting reservation; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information;
a decision module 303, configured to generate reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
The article set to be put in storage can be provided by a supplier and presented in the form of a purchase order or a reservation order; the collection of articles to be warehoused may contain more than one article; a collection of items to be warehoused may correspond to a reservation request.
The invention can provide two different reservation modes, is respectively suitable for different requirement scenes, and can be flexibly selected and used in practical application; the first reservation type can be suitable for reservation warehousing of which the number of days is not more than a preset number of days threshold, and the second reservation type can be reservation warehousing of the next day of the preset number of days threshold; the preset number of days threshold value can be flexibly adjusted according to actual requirements;
for example, if the preset number-of-days threshold is set to 10 days, warehousing for 1 to 10 days in the future may be reserved using the first reservation type, and warehousing for 11 days in the future may be reserved using the second reservation type.
In some practical application scenarios, when the first reservation type is used for reservation warehousing, the system can return a result of whether reservation is successful in real time according to corresponding reservation information; when the second reservation type is used for reservation warehousing, optimization solving can be carried out according to corresponding reservation information, and whether the reservation is successful or not is uniformly returned for all suppliers which use the type for reservation on the next day;
when the reservation result is determined for different reservation types, the required reservation information is different, so that different reservation information needs to be determined for different reservation warehousing modes.
The invention can provide different reservation modes according to different requirements, obtains comprehensive reservation information by utilizing big data, finds balance points by utilizing an optimization model under the condition of balancing the calculation result as much as possible, is friendly to suppliers and does not need manual experience.
In some embodiments, when the reservation request is of a first reservation type and the time of requesting reservation is kth day, the decision module generates reservation result information of the reservation request according to the reservation information, including:
determining the total volume data V of the set of articles to be put in storage according to the article volume information0(ii) a Determining the volume data VO of the goods leaving warehouse of the k day according to the volume information of the goods and the goods sales forecast information of the k dayk(ii) a Determining the goods warehousing volume data VI of the k day according to the goods volume information and the goods set information reserved successfully in the k dayk；
Judgment V0And (VO)k-VIk) The magnitude relationship of (1);
V0＜(VOk-VIk) Generating reservation success information and recording the information of the article set to be warehoused corresponding to the reservation request; v0≥PkThen, the reservation failure information is generated.
The product of the quantity and the volume of each article in the article set to be warehoused can be calculated firstly, and then the results of all the products are accumulated, so that the total volume V of the articles to be warehoused is obtained0；
The sales prediction database may be a prediction result determined in advance, and the sales prediction information of the article may be directly obtained by querying the database.
The product of the quantity and the volume of each article in the k-th article sales forecast information can be calculated, and then the results of all the products are accumulated, so that the k-th article ex-warehouse volume VO is obtainedk(ii) a Similarly, the product of the quantity and the volume of each article in the article set with successful reservation on the k day can be calculated, and then the results of all the products are accumulated to obtain the article warehousing volume VI of the k dayk；
Usually as VOk-VIkThe volume is planned directly as the volume of the library on day k, but max (0, VO) may be used to prevent negative interferencek-VIk) Planned volume of storage P as day kk(ii) a When VO is presentk＜VIkWhen is, i.e. PkWhen the reservation time is 0, the article to be put in storage is not suitable to be accepted at the time, namely, the decision of reservation failure can be directly made; when V is0≥PkWhen the storage capacity plan volume is too large, the current storage environment is not suitable for accepting the article set, and a decision of reservation failure can be made; when 0 < V0＜PkIn time, the current warehousing environment can be considered to be capable of accommodating the set of articles to be warehoused, and a decision of successful reservation can be made.
The first booking type can be regarded as a booking warehousing mode of 'first-come first-serve' under the condition that the warehouse can accommodate, and the decision is made by combining sales prediction and data of successful booking, so that the single scoring decision is more reasonable than that in the prior art.
In some embodiments, when the reservation request is of a second reservation type and the time of requesting reservation is day (D +1), the reservation information further includes: spot inventory information and historical sales information of the articles; wherein D is the number of days of the preset time period;
the decision module 303 generates reservation result information of the reservation request according to the reservation information, including:
according to the reservation information, determining the predicted quantity value of the stock shortage of each type of article in the article set to be warehoused on the (D +1) th day, the single article value of each type of article, the set volume value of the article set to be warehoused corresponding to each reservation request and the storage capacity limit value on the (D +1) th day;
determining the collection value of the to-be-warehoused item collection corresponding to each reservation request according to the estimated quantity of the out-of-stock and the value of the single item;
selecting reservation requests meeting constraint conditions from all reservation requests of the second reservation type according to the collection value, the collection volume value and the storage capacity limit value of the (D +1) th day, and returning reservation success results for the reservation requests; returning a reservation failure result for the reservation request which does not meet the constraint condition;
the constraint condition is that the sum of the collection values is the highest and the sum of the collection volume values is less than the storage capacity limit value.
When the reservation request is of the second reservation type, the reservation information may specifically include: the method comprises the steps of acquiring spot stock information, item set information reserved successfully in the future D days, item sales prediction information in the future (D +1) days, historical sales information of each type of items in the item set to be warehoused and total volume of the items to be warehoused; wherein D is the number of days in a preset time period;
wherein, each required information can be obtained according to the following method: acquiring spot stock information through inquiry;
inquiring and obtaining the information of the item set which is reserved successfully in the next D days from the reservation record;
inquiring and obtaining the article sales forecasting information in the future (D +1) day from the sales forecasting database;
historical sales information of each type of articles in the article set to be warehoused is obtained by inquiring from sales records;
and determining the total volume of the articles to be warehoused corresponding to the set according to the set of the articles to be warehoused.
When the first reservation type of a warehouse is already satisfied, the supplier can select a second reservation type to reserve and put in the warehouse; the supplier can also directly select the second reservation type for reservation warehousing under the condition that the first reservation type is not satisfied; such as: and setting the preset number of days threshold D as 10 days, selecting the second reservation type to reserve and put in the 11 th day in the future, and receiving a reservation result returned by the system on the 2 nd day in the future.
The second reservation type can be regarded as a decision mode that comprehensive reservation information is obtained by utilizing big data, and an optimization model is used for carrying out optimization solution so that a balance point is found out under the condition of balancing as much as possible; the second reservation type considers various information such as the inventory quantity, the volume, the quantity and the volume of the articles in the sales quantity prediction database, the historical sales amount of the articles, the information of the articles which have been reserved successfully and the like, and can perform unified optimization solution on all the article sets to be warehoused using the second reservation type, so as to determine the most valuable article sets to be warehoused under the condition that the storage capacity is met.
In some embodiments, the decision module 303 determines the expected backorder quantity value of each type of item in the set of items to be warehoused on the (D +1) th day, including: determining the predicted quantity value of the stock shortage of each type of articles in the article set to be warehoused according to the article sales prediction information in the future (D +1) day, the article stock quantity in the stock information and the article set information reserved successfully in the future D days;
determining the value of each type of article in the set of articles to be warehoused, including: determining the value of each type of article according to the historical sales information of the articles in the article set to be warehoused;
determining a storage capacity limit value for day (D +1) comprising: determining the volume value V of the residual stock capacity according to the stock information of the spot goodsa(ii) a Determining the total volume value V of the reserved successful articles according to the reserved successful article set information in the future D daysb(ii) a With (V)a-Vb) As a storage capacity limit value.
Wherein, the predicted quantity of goods out of stock value can be obtained according to the following method:
determining the stock quantity N of the i-th class of articles in the to-be-warehoused article set according to the stock information of the spot articles1i(ii) a According to the information of the item set reserved successfully in the future D days, determining the number N of the i-th items reserved successfully in the item set to be warehoused in the future D days2i(ii) a With (N)1i+N2i) The estimated stock quantity of the ith type of articles in the set of articles to be warehoused is used; and determining the predicted quantity value of the shortage of the i-th type of articles in the to-be-warehoused article set according to the article sales prediction information and the predicted inventory of the articles in the future (D +1) day.
Specifically, the article sales prediction information in the future (D +1) day may be probability distribution information of the cumulative sales of the articles in the future (D +1) day, and may be obtained by querying the sales prediction database; the probability distribution may be a normal distribution.
In some embodiments, a single item value e for each type of itemiCan be determined as follows:
Figure BDA0001935893060000171
0α≤1；
wherein s isiRepresenting the average sales amount of the ith item in the set of items to be warehoused; t is tiRepresenting the average gross profit of the ith item in the collection of items to be warehoused, α is a constant.
In the above equation, the constant α can be adjusted according to actual requirements, and the closer α is to 0, the closer e is representediMore towards the gross profit of the article, α being closer to 1, indicating eiMore towards the sales of the item.
The storage capacity limit represents the available volume characteristic of the warehouse, and the premise that the total volume of the articles to be processed does not exceed the storage capacity limit is that the warehouse receives the set of the articles to be processed.
In some embodiments, the constraint is:
Figure BDA0001935893060000172
wherein x isj∈{0，1}；
Wherein m represents the number of the article sets to be warehoused corresponding to the reservation requests of all the second reservation types; c. CjRepresenting the collection value of the jth collection of articles to be warehoused; a isjRepresenting the set volume value of the jth item set to be warehoused; b represents a storage capacity limit value; x is the number ofj1 represents that the j-th article to be warehoused is successfully reserved; x is the number ofjAnd 0 represents that the j-th item to be warehoused aggregate reservation fails.
Fig. 4 illustrates an exemplary system architecture 400 to which the method of processing item-warehousing reservation request information or the apparatus for processing item-warehousing reservation request information of an embodiment of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like.
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server that provides various services. The background management server can analyze and process the received data such as the product information inquiry request and feed back the processing result to the terminal equipment.
It should be noted that the method for processing the article warehousing reservation request information provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, the apparatus for processing the article warehousing reservation request information is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
To the I/O interface 505, AN input section 506 including a keyboard, a mouse, and the like, AN output section 507 including a keyboard such as a Cathode Ray Tube (CRT), a liquid crystal display (L CD), and the like, a speaker, and the like, a storage section 508 including a hard disk and the like, and a communication section 509 including a network interface card such as a L AN card, a modem, and the like, the communication section 509 performs communication processing via a network such as the internet, a drive 510 is also connected to the I/O interface 505 as necessary, a removable medium 511 such as a magnetic disk, AN optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a receive request module, a determine information module, and a decision module. The names of these modules do not in some cases constitute a limitation on the unit itself, and for example, the module that receives the request may also be described as a "module that sends a picture acquisition request to a connected server".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: step S101, receiving reservation request information corresponding to an article set to be warehoused; step S102, acquiring reservation information corresponding to the reservation request based on the reservation type information and the reservation request time information; step S103, generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
According to the technical scheme of the embodiment of the invention, different reservation modes are provided according to different requirements, and a technical means of obtaining comprehensive reservation information by using big data for decision making is adopted, so that the technical problems of single decision making and dependence on manual experience in the prior art are solved, and the technical effects of making decisions by using the existing data to the maximum extent, effectively modeling actual problems by using an operational optimization model and finding balance points under the condition of balancing as much as possible are achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (12)

1. A method for processing article warehousing reservation request information is characterized by comprising the following steps:
receiving reservation request information corresponding to the set of articles to be warehoused; the reservation request information at least comprises reservation type information and reservation request time information, wherein the reservation type comprises a first reservation type and a second reservation type; the first reservation type is that the time for requesting reservation is in a preset time period; the second reservation type is that the time for requesting reservation is after the preset time period;
acquiring reservation information corresponding to the reservation request based on the reservation type information and the time information of requesting reservation; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information;
generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
2. The method of claim 1, wherein the reservation request is of a first reservation type, and the reservation request is made at a kth day, and wherein generating reservation result information of the reservation request according to the reservation information comprises:
determining the total volume data V of the set of articles to be put in storage according to the article volume information0(ii) a Determining the volume data VO of the goods leaving warehouse of the k day according to the volume information of the goods and the goods sales forecast information of the k dayk(ii) a Determining the goods warehousing volume data VI of the k day according to the goods volume information and the goods set information reserved successfully in the k dayk；
Judgment V0And (VO)k-VIk) The magnitude relationship of (1);
V0＜(VOk-VIk) Generating reservation success information and recording the information of the article set to be warehoused corresponding to the reservation request; v0≥PkThen, the reservation failure information is generated.
3. The method of claim 1, wherein the reservation request is of a second reservation type, and the reservation information further comprises, when the reservation request is for a (D +1) th day: spot inventory information and historical sales information of the articles; wherein D is the number of days of the preset time period;
generating reservation result information of the reservation request according to the reservation information, comprising:
according to the reservation information, determining the predicted quantity value of the stock shortage of each type of article in the article set to be warehoused on the (D +1) th day, the single article value of each type of article, the set volume value of the article set to be warehoused corresponding to each reservation request and the storage capacity limit value on the (D +1) th day;
determining the collection value of the to-be-warehoused item collection corresponding to each reservation request according to the estimated quantity of the out-of-stock and the value of the single item;
selecting reservation requests meeting constraint conditions from all reservation requests of the second reservation type according to the collection value, the collection volume value and the storage capacity limit value of the (D +1) th day, and returning reservation success results for the reservation requests; returning a reservation failure result for the reservation request which does not meet the constraint condition;
the constraint condition is that the sum of the collection values is the highest and the sum of the collection volume values is less than the storage capacity limit value.
4. The method of claim 3,
determining the predicted backorder quantity value of each type of article in the set of articles to be warehoused on the (D +1) th day, wherein the method comprises the following steps: determining the predicted quantity value of the stock shortage of each type of articles in the article set to be warehoused according to the article sales prediction information in the future (D +1) day, the article stock quantity in the stock information and the article set information reserved successfully in the future D days;
determining the value of each type of article in the set of articles to be warehoused, including: determining the value of each type of article according to the historical sales information of the articles in the article set to be warehoused;
determining a storage capacity limit value for day (D +1) comprising: determining the volume value V of the residual stock capacity according to the stock information of the spot goodsa(ii) a Determining the total volume value V of the reserved successful articles according to the reserved successful article set information in the future D daysb(ii) a With (V)a-Vb) As a storage capacity limit value.
5. The method of claim 3, wherein the constraint is:
Figure FDA0001935893050000021
wherein x isj∈{0，1}；
Wherein m representsThe number of the article sets to be warehoused corresponding to the reservation requests of all the second reservation types; c. CjRepresenting the collection value of the jth collection of articles to be warehoused; a isjRepresenting the set volume value of the jth item set to be warehoused; b represents a storage capacity limit value; x is the number ofj1 represents that the j-th article to be warehoused is successfully reserved; x is the number ofjAnd 0 represents that the j-th item to be warehoused aggregate reservation fails.
6. An apparatus for processing reservation request information for warehousing an article, comprising:
the receiving module is used for receiving reservation request information corresponding to the collection of the articles to be warehoused; the reservation request information at least comprises reservation type information and reservation request time information, wherein the reservation type comprises a first reservation type and a second reservation type; the first reservation type is that the time for requesting reservation is in a preset time period; the second reservation type is that the time for requesting reservation is after the preset time period;
the acquisition information module is used for acquiring reservation information corresponding to the reservation request based on the reservation type information and the reservation request time information; the reservation information at least includes: the system comprises article volume information, article sales forecast information and ordered article set information;
the decision module is used for generating reservation result information of the reservation request according to the reservation information; the reservation result comprises: the reservation is successful, or the reservation fails.
7. The apparatus of claim 6, wherein the reservation request is of a first reservation type, and the reservation request is made at a kth day, and the decision module generates reservation result information of the reservation request according to the reservation information, comprising:
determining the total volume data V of the set of articles to be put in storage according to the article volume information0(ii) a Determining the volume data VO of the goods leaving warehouse of the k day according to the volume information of the goods and the goods sales forecast information of the k dayk(ii) a According to the aboveDetermining the goods warehousing volume data VI of the k day according to the goods volume information and the goods set information reserved successfully in the k dayk；
Judgment V0And (VO)k-VIk) The magnitude relationship of (1);
V0＜(VOk-VIk) Generating reservation success information and recording the information of the article set to be warehoused corresponding to the reservation request; v0≥PkThen, the reservation failure information is generated.
8. The apparatus of claim 6, wherein the reservation request is of a second reservation type, and the reservation information further comprises, when the reservation request is for a (D +1) th day: spot inventory information and historical sales information of the articles; wherein D is the number of days of the preset time period;
the decision module generates reservation result information of the reservation request according to the reservation information, and the reservation result information comprises the following steps:
according to the reservation information, determining the predicted quantity value of the stock shortage of each type of article in the article set to be warehoused on the (D +1) th day, the single article value of each type of article, the set volume value of the article set to be warehoused corresponding to each reservation request and the storage capacity limit value on the (D +1) th day;
determining the collection value of the to-be-warehoused item collection corresponding to each reservation request according to the estimated quantity of the out-of-stock and the value of the single item;
selecting reservation requests meeting constraint conditions from all reservation requests of the second reservation type according to the collection value, the collection volume value and the storage capacity limit value of the (D +1) th day, and returning reservation success results for the reservation requests; returning a reservation failure result for the reservation request which does not meet the constraint condition;
the constraint condition is that the sum of the collection values is the highest and the sum of the collection volume values is less than the storage capacity limit value.
9. The apparatus of claim 8,
the decision module determines the predicted backorder quantity value of each type of article in the to-be-warehoused article set on the (D +1) th day, and the method comprises the following steps: determining the predicted quantity value of the stock shortage of each type of articles in the article set to be warehoused according to the article sales prediction information in the future (D +1) day, the article stock quantity in the stock information and the article set information reserved successfully in the future D days;
determining the value of each type of article in the set of articles to be warehoused, including: determining the value of each type of article according to the historical sales information of the articles in the article set to be warehoused;
determining a storage capacity limit value for day (D +1) comprising: determining the volume value V of the residual stock capacity according to the stock information of the spot goodsa(ii) a Determining the total volume value V of the reserved successful articles according to the reserved successful article set information in the future D daysb(ii) a With (V)a-Vb) As a storage capacity limit value.
10. The apparatus of claim 8, wherein the constraint is:
Figure FDA0001935893050000041
wherein x isj∈{0，1}；
Wherein m represents the number of the article sets to be warehoused corresponding to the reservation requests of all the second reservation types; c. CjRepresenting the collection value of the jth collection of articles to be warehoused; a isjRepresenting the set volume value of the jth item set to be warehoused; b represents a storage capacity limit value; x is the number ofj1 represents that the j-th article to be warehoused is successfully reserved; x is the number ofjAnd 0 represents that the j-th item to be warehoused aggregate reservation fails.
11. An electronic device for processing reservation request information for warehousing of an article, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
12. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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CN113762549A (en) * 2020-08-17 2021-12-07 北京京东振世信息技术有限公司 Processing method and device for reserving warehouse delivery and storage medium
CN113762549B (en) * 2020-08-17 2024-03-01 北京京东振世信息技术有限公司 Processing method, device and storage medium for reserving warehouse delivery

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