CN112001619B - Production scheduling method and device, computer storage medium and electronic equipment - Google Patents
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Abstract
The present disclosure relates to the field of production scheduling technology, and provides a production scheduling method, a production scheduling device, a computer storage medium, and an electronic device, where the production scheduling method includes: acquiring a plurality of processing procedures corresponding to each clothing type in a clothing order, and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device; determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device; based on the processing sequence of multiple processing procedures, searching and sequencing the sequence to be processed by adopting a heuristic search algorithm to obtain multiple candidate scheduling sequences; and determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence. The method in the disclosure not only can automatically schedule according to orders, but also can realize real-time monitoring and quality monitoring of production links, save production cost and improve production efficiency.
Description
Technical Field
The present disclosure relates to the field of production scheduling technologies, and in particular, to a production scheduling method, a production scheduling device, a computer storage medium, and an electronic apparatus.
Background
With the rapid development of the manufacturing industry in recent years, the textile industry has rapidly changed with the rise of intelligent manufacturing.
At present, taking the clothing industry as an example, the production process lacks scientific management, most of the production processes depend on experience, so that the production capacity cannot be monitored, the scheduling is performed by means of a flap valve, and the working efficiency is seriously affected. Meanwhile, the production data are opaque, and the problems of accumulation of products, production progress of clothing batches, quality of products and the like are not clear, so that the production cost of enterprises is improved.
In view of the foregoing, there is a need in the art to develop a new production scheduling method and apparatus.
It should be noted that the information disclosed in the foregoing background section is only for enhancing understanding of the background of the present disclosure.
Disclosure of Invention
The present disclosure is directed to a production scheduling method, a production scheduling device, a computer storage medium, and an electronic apparatus, and therefore, the defect of low efficiency in the related art is avoided at least to a certain extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a production scheduling method comprising: acquiring a plurality of processing procedures corresponding to each clothing type in a clothing order, and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device; determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device; based on the processing sequence of the plurality of processing procedures, searching and sequencing the sequences to be processed by adopting a heuristic search algorithm to obtain a plurality of candidate scheduling sequences; and determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence.
In an exemplary embodiment of the present disclosure, the method further comprises: obtaining the target number of the processing procedures included in the sequence to be processed; and determining the first product of the time length of each processing procedure executed by each processing device and the target number as the production time length corresponding to each candidate scheduling sequence.
In an exemplary embodiment of the present disclosure, after determining the candidate schedule sequence having the shortest production duration as the optimal schedule sequence, the method further includes: determining the start time of the processing equipment for executing the processing procedure corresponding to each clothing type according to the optimal scheduling sequence; determining a target duration of the processing equipment for executing the processing procedure corresponding to each clothing type according to the start-up time; determining the usage amount of clothing materials according to the ratio of the target time length to the time length of each processing sequence executed by the processing equipment; determining a difference between a total amount of clothing material and the usage amount as a remaining inventory amount of the clothing material; and when the residual stock quantity is smaller than the target use quantity, sending alarm prompt information to a manager.
In an exemplary embodiment of the present disclosure, the method further comprises: acquiring the number of abnormal processing products based on the traceability codes on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or hot dyeing error products; and when the number of the abnormal processed products is greater than a number threshold, sending alarm prompt information to the manager.
In an exemplary embodiment of the present disclosure, the method further comprises: acquiring operation information of a target operator in a preset time period based on the traceability code on the clothing material, wherein the operation information comprises operation types, processing procedures and operation times; inquiring the standard operation time of the target staff from a preset operation duration comparison table according to the processing procedure and the operation type; determining a second product of the operation times and the standard operation time as a standard operation duration of the target operator; and determining the ratio of the standard operation duration to the actual operation duration as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the method further comprises: obtaining a third product of the actual operation duration and the proficiency of the target operator; and determining the ratio of the standard operation duration to the third product as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the method further comprises: quality inspection is carried out on the processed product of the target operator to obtain quality inspection qualification rate; obtaining a fourth product of the working efficiency and the first weight, and obtaining a fifth product of the quality inspection qualification rate and the second weight; determining a production evaluation value of the target operator according to the fourth product and the fifth product; and when the production evaluation value is smaller than an evaluation threshold value, sending an alarm prompt to the manager.
According to a second aspect of the present disclosure, there is provided a production scheduling device comprising: the data acquisition module is used for acquiring a plurality of processing procedures corresponding to each clothing type in the clothing order and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device; the data determining module is used for determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device; the production scheduling module is used for searching and sequencing the sequences to be processed by adopting a heuristic search algorithm based on the processing sequence of the plurality of processing procedures to obtain a plurality of candidate scheduling sequences; and determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence.
According to a third aspect of the present disclosure, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the production scheduling method of the first aspect described above.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the production scheduling method of the first aspect described above via execution of the executable instructions.
As can be seen from the above technical solutions, the production scheduling method, the production scheduling device, the computer storage medium and the electronic device in the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:
In the technical solutions provided in some embodiments of the present disclosure, on one hand, a plurality of processing procedures corresponding to each garment type in a garment order (each processing procedure corresponds to a processing device) are obtained, and a processing sequence of the plurality of processing procedures is determined, so that the processing sequence can be set in advance, a subsequently obtained program arrangement is ensured to conform to the processing sequence of the procedures, and the qualification rate of garment products is improved. Further, according to the corresponding relation between the processing procedure and the processing equipment, the sequence to be processed corresponding to each processing equipment is determined, so that the sequence to be processed required to be executed by each processing equipment can be defined, and the subsequent sequence to be processed is conveniently scheduled. On the other hand, based on the processing sequence of the plurality of processing procedures, searching and sorting the sequences to be processed by adopting a heuristic search algorithm to obtain a plurality of candidate scheduling sequences; the candidate scheduling sequence with the shortest production duration is determined as the optimal scheduling sequence, so that the production scheduling scheme can be optimized, the production duration is saved, the technical problem of lower production efficiency caused by manual scheduling in the related technology is solved, and the production efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 illustrates a flow diagram of a method of production scheduling in an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a sub-flowchart of a production scheduling method in an exemplary embodiment of the present disclosure;
FIG. 3 illustrates a sub-flowchart of a production scheduling method in an exemplary embodiment of the present disclosure;
FIG. 4 illustrates an overall flow diagram of a production scheduling method in an exemplary embodiment of the present disclosure;
FIG. 5 illustrates a block diagram of a production scheduling method in an exemplary embodiment of the present disclosure;
FIG. 6 illustrates a schematic diagram of a production scheduling device in an exemplary embodiment of the present disclosure;
FIG. 7 illustrates a schematic diagram of a computer storage medium in an exemplary embodiment of the present disclosure;
Fig. 8 illustrates a schematic structure of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
The terms "a," "an," "the," and "said" are used in this specification to denote the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. in addition to the listed elements/components/etc.; the terms "first" and "second" and the like are used merely as labels, and are not intended to limit the number of their objects.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
In the related art, taking the clothing industry as an example, the production process lacks scientific management, most of the production processes depend on experience, so that the production capacity cannot be monitored, the scheduling is performed by means of a flap valve, and the working efficiency is seriously affected. Meanwhile, the production data are opaque, and the problems of accumulation of products, production progress of clothing batches, quality of products and the like are not clear, so that the production cost of enterprises is improved.
In an embodiment of the present disclosure, a method for scheduling production is provided, which overcomes at least some of the drawbacks of the prior art.
FIG. 1 is a flow chart of a production scheduling method according to an exemplary embodiment of the present disclosure, wherein the execution subject of the production scheduling method may be a server for scheduling production according to a clothing order.
Referring to fig. 1, a production scheduling method according to one embodiment of the present disclosure includes the steps of:
step S110, acquiring a plurality of processing procedures corresponding to each garment type in a garment order, and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device;
Step S120, determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device;
Step S130, searching and sequencing the sequence to be processed by adopting a heuristic search algorithm based on the processing sequence of a plurality of processing procedures to obtain a plurality of candidate scheduling sequences;
Step S140, determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence.
In the technical scheme provided by the embodiment shown in fig. 1, on one hand, a plurality of processing procedures corresponding to each garment type in a garment order (each processing procedure corresponds to a processing device) are obtained, and the processing sequence of the plurality of processing procedures is determined, so that the processing sequence can be preset, the subsequent obtained arrangement sequence is ensured to be in accordance with the processing sequence of the procedure, and the qualification rate of garment products is improved. Further, according to the corresponding relation between the processing procedure and the processing equipment, the sequence to be processed corresponding to each processing equipment is determined, the sequence to be processed required to be executed by each processing equipment can be defined, and the subsequent sequence to be processed is conveniently scheduled. On the other hand, based on the processing sequence of a plurality of processing procedures, searching and sequencing the sequence to be processed by adopting a heuristic search algorithm to obtain a plurality of candidate scheduling sequences; the candidate scheduling sequence with the shortest production duration is determined as the optimal scheduling sequence, so that the production scheduling scheme can be optimized, the production duration is saved, the technical problem of lower production efficiency caused by manual scheduling in the related technology is solved, and the production efficiency is improved.
The specific implementation of each step in fig. 1 is described in detail below:
The production schedule is to arrange the production sequence of each production task under the premise of considering the capacity and equipment and the condition of a certain quantity of materials, optimize the production sequence and select production equipment optimally, so that the waiting time is reduced, and the production load of each processing equipment and workers is balanced. Thereby optimizing productivity and improving working efficiency. In short: a process of assigning production tasks to production resources.
In step S110, a plurality of processing steps corresponding to each garment type in the garment order are acquired, and a processing sequence of the plurality of processing steps is determined.
Wherein each processing procedure corresponds to a processing device.
The types of clothing contained in the clothing order may be obtained, and for example, when the clothing order contains 4 types of clothing (coat, short sleeve, shorts, shirt) and the order amount is 400, the clothing order may be obtained to contain 100 coats, 100 short sleeve, 100 shorts, and 100 shirts.
Further, for example, when the garment processing includes 7 processes (for example, cutting, sewing, scalding, quality inspection … …, denoted as g1, g2, g3, g4, g5, g6, g7 for convenience of description), the processing processes included in the garment type "jacket" may be g1, g2, g3, g4, g5, g6, and the processing sequence corresponding to the 6 processing processes may be: g2-g1-g3-g4-g5-g6; the processing procedures included in the clothing type short sleeve shirt can be g1, g2, g3 and g6, and the processing sequence corresponding to the 4 processing procedures can be g1-g2-g3-g6; the processing procedures included in the clothing type shorts can be g1, g3 and g4, and the processing sequence corresponding to the 3 processing procedures can be g1-g3-g4; the processing procedures included in the clothing type shirt can be g3, g4, g5, g6 and g7, and the processing sequence corresponding to the 5 processing procedures can be g3-g4-g5-g6-g7. As can be seen, the garment types include 4 types (m=4) in total, and the processing steps of the garment type having the largest processing steps have 6 channels (k=6) in total, and thus, the processing sequence X km of the plurality of processing steps corresponding to the plurality of garment types can be expressed as:
in step S120, a sequence to be processed corresponding to each processing device is determined according to the correspondence between the processing steps and the processing devices.
It should be noted that, when the garment processing includes 7 processes (for example, g1, g2, g3, g4, g5, g6, and g 7), for example, 7 processing devices (M1-M7) may be provided, specifically, the processing device M1 may be used to perform the processing process g1, the processing device M2 may be used to perform the processing process g2, the processing device M3 may be used to perform the processing process g3, the processing device M4 may be used to perform the processing process g4, the processing device M5 may be used to perform the processing process g5, the processing device M6 may be used to perform the processing process g6, and the processing device M7 may be used to perform the processing process g7.
Thus, it can be determined that the processing sequence to be executed by the processing apparatus M1 is: the clothing type comprises a g1 process corresponding to a jacket, a g1 process corresponding to a short sleeve and a g1 process corresponding to a short sleeve. The sequence to be processed that the processing apparatus M2 needs to execute is: and g2, corresponding to the clothing type short sleeve. The sequence to be processed that the processing apparatus M3 needs to perform includes: the garment type comprises a g3 process corresponding to a "coat", a g3 process corresponding to a "short sleeve", and a g3 process corresponding to a "shirt". The sequence to be processed that the processing apparatus M4 needs to execute is: the garment type includes a g4 process corresponding to "coat", a g4 process corresponding to "shorts", and a g4 process corresponding to "shirt". The sequence to be processed that the processing device M5 needs to execute is: the g5 procedure corresponding to the clothing type 'coat' and the g5 procedure corresponding to the shirt. The sequence to be processed that the processing device M6 needs to execute is: g6 process corresponding to "coat" and g6 process corresponding to "shirt". The sequence to be processed that the processing device M7 needs to execute is: and g7, corresponding to shirt.
Therefore, the sequence to be processed, which needs to be executed by each processing device, can be defined, and the subsequent production scheduling of the sequence to be processed is facilitated.
In step S130, a heuristic search algorithm is used to search and rank the sequences to be processed based on the processing sequence of the multiple processing steps, so as to obtain multiple candidate scheduling sequences.
Furthermore, based on the processing sequence X 64 of the processing procedure, a heuristic search algorithm may be used to search and rank the sequences to be processed, so as to obtain a plurality of candidate scheduling sequences. The heuristic search algorithm evaluates the position of each search in the state space to obtain the best position, and searches from the position until the target is met. By way of example, the heuristic search algorithm may comprise: the positive feedback and the synergy of the ant colony algorithm can be used for a distributed system, the hidden parallelism can lead the ant colony algorithm to have extremely strong development potential and better adaptability), the artificial immune algorithm, the simulated annealing algorithm and the like, can be set by themselves according to actual conditions, and belong to the protection scope of the disclosure.
For example, when the duration of the processing apparatus M1 performing the processing procedure g1 is t1 seconds, the duration of the processing apparatus M2 performing the processing procedure g 2is t2 seconds, the duration of the processing apparatus M3 performing the processing procedure g3 is t3 seconds, the duration of the processing apparatus M4 performing the processing procedure g4 is t4 seconds, the duration of the processing apparatus M5 performing the processing procedure g5 is t5 seconds, the duration of the processing apparatus M6 performing the processing procedure g6 is t6 seconds, and the duration of the processing apparatus M7 performing the processing procedure g7 is t7 seconds, the duration δ 64 of each processing procedure performed by the plurality of processing apparatuses may be expressed as
Further, a target number of machining processes included in the sequence to be machined may be obtained, and a first product of a time period for each machining process performed by each machining device and the target number may be determined as a production time period corresponding to each candidate scheduling sequence. For example, when a certain candidate scheduling sequence, the sub-sequence corresponding to the processing apparatus M1 is: when the garment order includes 100 pieces of the outer sleeve, 100 pieces of the short sleeve and 100 pieces of the shorts as known from the explanation about the steps, the target number of the g1 process corresponding to the short sleeve, the target number of the g1 process corresponding to the outer sleeve, the target number of the g1 process corresponding to the short sleeve, the processing equipment M1 executes the g1 process, and the time period of t1, it can be determined that the production time period of the subsequence is: 100×1+100×1+100×1=300×1, and similarly, the production duration of the subsequences corresponding to the processing devices M2-M7 may be sequentially calculated, to obtain 7 production duration values. Further, in the case where 7 processing apparatuses are operated simultaneously, the production time period with the largest value among the 7 values may be determined as the production time period of the candidate schedule sequence.
In step S140, the candidate scheduling sequence having the shortest production time period is determined as the optimal scheduling sequence.
After determining the production time periods corresponding to the candidate scheduling sequences, the candidate scheduling sequence with the shortest production time period can be determined to be the optimal scheduling sequence.
For example, a constraint function min Σd km may be set, where D km is a two-dimensional matrix of max { k i } ×m, which represents the start processing time of the clothing order i at the processing order χ km, and further, an optimal arrangement sequence M mn (M is the number of clothing types, n is the number of processing apparatuses, m=4, n=7) that satisfies the constraint function (i.e., the shortest production time) may be determined from a plurality of candidate arrangement sequences. For example, the optimal scheduling sequence may be expressed as
The meaning of the expression is:
The processing equipment M1 firstly executes a g1 procedure corresponding to the clothing type short pants, then executes a g1 procedure corresponding to the clothing type short sleeves, and further executes a g1 procedure corresponding to the clothing type short sleeves;
The processing equipment M2 firstly executes a g2 procedure corresponding to the clothing type 'coat', and then executes a g2 procedure corresponding to the clothing type 'short sleeve';
The processing equipment M3 firstly executes a g3 procedure corresponding to a clothing type shirt, then executes a g3 procedure corresponding to a clothing type short sleeve, further executes a g3 procedure corresponding to a clothing type short sleeve, and finally executes a g3 procedure corresponding to a clothing type jacket;
the processing equipment M4 firstly executes a g4 procedure corresponding to the clothing type shirt, then executes a g4 procedure corresponding to the clothing type shorts, and finally executes a g4 procedure corresponding to the clothing type jacket;
the processing equipment M5 firstly executes a g5 procedure corresponding to the clothing type shirt, and then executes a g5 procedure corresponding to the clothing type jacket;
The processing equipment M6 firstly executes a g6 procedure corresponding to the clothing type 'shirt', then executes a g6 procedure corresponding to the clothing type 'short sleeve', and finally executes a g6 procedure corresponding to the 'coat';
the processing equipment M7 executes the g7 process corresponding to "shirt".
Therefore, the production scheduling scheme can be optimized, the production time is saved, the technical problem of low production efficiency caused by manual scheduling in the related technology is solved, and the production efficiency is improved.
After determining the optimal scheduling sequence, referring to fig. 2, fig. 2 is an exemplary sub-flowchart of a production scheduling method according to an exemplary embodiment of the disclosure, specifically determining the remaining inventory, and sending an alarm prompt message to the manager when the remaining inventory is smaller than the target usage, including steps S201-S205, and a specific embodiment will be explained below with reference to fig. 2.
In step S201, a start time of the processing device for executing the processing procedure corresponding to each garment type is determined according to the production duration corresponding to the optimal arrangement program.
The start time of the processing device to execute the processing procedure corresponding to each garment type may be determined according to the production time corresponding to the optimal arrangement program, and in an exemplary embodiment, the start time D 64 of the processing procedure corresponding to each garment type may be determined to beThe meaning of the expression is:
For the garment type "coat", the processing device M2 starts to perform the g2 process at the time T0, the processing device M1 starts to perform the g1 process at the time T1, the processing device M3 starts to perform the g3 process at the time T2, the processing device M4 starts to perform the g4 process at the time T3, the processing device M5 starts to perform the g5 process at the time T4, and the processing device M6 starts to perform the g6 process at the time T5.
For the clothing type "short sleeve", the processing equipment M1 starts to perform the g1 process at the time T6, the processing equipment M2 starts to perform the g2 process at the time T7, the processing equipment M3 starts to perform the g3 process at the time T8, and the processing equipment M6 starts to perform the g6 process at the time T9.
In the case of the clothing type "shorts", the processing device M1 starts to perform the g1 process at time T10, the processing device M3 starts to perform the g3 process at time T11, and the processing device M4 starts to perform the g4 process at time T12.
For the clothing type "shirt", the processing device M3 starts to execute the g3 process, the processing device M4 starts to execute the g4 process, the processing device M5 starts to execute the g5 process, the processing device M6 starts to execute the g6 process, and the processing device M7 starts to execute the g7 process at the T17 process at the time T13.
In step S202, a target duration of the processing equipment for executing the processing procedure corresponding to each garment type is determined according to the start-up time.
Thus, as an example, based on the start-up time D 64 of each process described above, for the garment type "jacket", the target duration for the processing device M2 to perform the g2 process is: (T2-T1) hours; the target duration of the processing device M3 executing the g3 process is: (T3-T2) hours; the target duration of the processing device M4 executing the g4 process is: (T4-T3) hours; the target duration of the processing device M5 executing the g5 process is: (T5-T4) hours; the target time period for the processing apparatus M3 to execute the g6 process is (T6 to T5) hours.
In step S203, the usage amount of the clothing material is determined according to the ratio of the target time period to the time period during which each processing device performs each processing sequence.
Thus, referring to the explanation of the above steps, when the duration of the processing device M2 executing the sequence g2 to be processed is T2, the usage amount of the clothing material is within the target duration (T2-T1) of the process of producing g2 by the processing device M2:
in step S204, the difference between the total amount of clothing material and the usage amount is determined as the remaining stock amount of clothing material.
Further, when the total amount of clothing materials displayed on the product bill of materials is Sum, it is determined that after (T2-T1) hours, the remaining stock amount of clothing materials is
In step S205, when the remaining stock quantity is smaller than the target usage quantity, an alarm prompt message is sent to the manager.
Exemplary, with reference to the explanation of step S203, when the remaining stock quantity is When the target usage amount of the clothing material in another order is 1400, it can be determined that the remaining stock amount is smaller than the future clothing material usage amount, and alarm prompt information can be sent to the manager to remind the manager to timely supplement the stock, so that the production progress is not delayed, and the production efficiency is guaranteed.
For example, when the garment manufacturing process is completed by manual operation, the present disclosure may also monitor the working efficiency of the related operators, and for example, referring to fig. 3, fig. 3 shows a schematic sub-flowchart of a production scheduling method according to an exemplary embodiment of the present disclosure, including steps S301 to S304, and a specific implementation will be explained below in conjunction with fig. 3.
In step S301, operation information of a target operator in a preset time period is obtained based on a traceability code on a clothing material, wherein the operation information includes a processing procedure, a clothing type and the number of operations.
Illustratively, each clothing material may be provided with a traceability code, where the traceability code includes an identification number of the clothing material and a processing procedure of each worker. It should be noted that the tracing code may be a two-dimensional code, a bar code, an RFID (Radio Frequency Identification, for short, RFID, radio frequency identification) tag, etc., which may be set according to the actual situation, and belongs to the protection scope of the present disclosure.
For example, when the target operator W is a sewing operator, when the target operator W takes the clothing material, the handheld device (e.g., a mobile terminal supporting scanning, a barcode scanner, etc.) may first scan the traceability code set on the clothing material, input the work number or name as operator information, further, input the processing procedure "sewing" and the corresponding clothing type, and submit the save information, and at this time, the server may also record the time of saving the information.
Therefore, the operation times of the target operator W in a preset time period (for example, one hour from 9 points to 10 points) can be determined through the tracing codes on the clothing materials and the information storage time.
For example, it may be determined that the number of jobs of the target operator W in the preset period is: and sewing the clothes type 'outer sleeve' for X1 time, and sewing the clothes type 'short sleeve' for X2 times.
In step S302, the standard working time of the target worker is searched from a preset working time length reference table according to the garment type and the processing procedure.
For example, standard working time corresponding to different garment types and different processing procedures can be determined through a model method and stored as a working duration comparison table, and for example, table 1 can be referred to, and table 1 shows an exemplary table of the working duration comparison table in the present disclosure:
TABLE 1
Thus, as can be seen from the above table 1, the standard working time for the target worker W to seam the "coat" was A5 seconds, and the standard working time for the seam "short sleeve" was A6 seconds.
In step S303, a second product of the number of jobs and the standard job time is determined as the standard job duration of the target operator.
Thus, referring to the explanation concerning step S302 described above, the second product of the number of jobs and the standard job time can be determined as the standard job duration of the target job personnel. The standard operation duration of the target operator W is determined as follows: tb=x1×a5+x2×a6.
In step S304, the ratio of the standard operation duration to the actual operation duration is determined as the work efficiency of the target operator.
For example, an actual working duration (e.g., 3600 s) may be obtained, and a ratio of the standard working duration to the actual working duration may be determined as the working efficiency of the target operator. Exemplary, target worker W has a work efficiency within one hour
For example, the proficiency may be set according to the working period of the operator, for example, when the working period of the operator is less than two years, the proficiency may be set to be α 1(α1 e (0.8,1)), when the working period of the operator is greater than two years and less than five years, the proficiency may be set to be α 2(α2 e (1, 1.1)), and when the working period of the operator is greater than five years, the proficiency may be set to be α 3(α3 e (1.1, 1.2)), and specific values of the proficiency may be set according to the actual situation, which belongs to the protection scope of the present disclosure.
When the actual working time of the target operator W in the preset time period is 3600s and the working time of the target operator W is greater than two years and less than five years, it may be determined that the proficiency of the target operator W is α 2, and thus, a third product of the actual working time and the proficiency of the target operator may be expressed as 3600×α 2. Further, the ratio of the standard working time length and the third product can be determined as the working efficiency of the target worker, and thus the working efficiency of the target worker W in one hour
For example, the working efficiency of the target staff member W in a period of time (e.g., one month) may be calculated, and further, when the working efficiency of the target staff member W in one hour is less than the efficiency threshold (50%), or the working efficiency of the target staff member W in one month is less than the efficiency threshold (70%), the data monitoring unit may send an alarm prompt message to the manager to help the manager to know the working condition of each staff member in real time.
Illustratively, the quality inspection of the processed product of the target operator W may also be performed to obtain a quality inspection qualification rate, which may be 85% by way of example. Furthermore, a fourth product of the working efficiency of the target operator W and the first weight and a fifth product of the quality inspection qualification rate and the second weight can be obtained, and the sum of the fourth product and the fifth product is determined as a production evaluation value, and further, when the production evaluation value is smaller than an evaluation threshold value, an alarm prompt can be sent to a manager. For example, when the working efficiency is 80%, the first weight is 0.4, the fourth product is 80% by 0.4=0.32, when the quality inspection qualification rate is 85%, the second weight is 0.6, the fifth product is 85% by 0.6=0.51, so that the production evaluation value=0.32+0.51=0.83, and when the evaluation threshold is 0.9, it can be determined that the production evaluation value is smaller than the evaluation threshold, and an alarm prompt can be sent to the manager.
It should be noted that, in the process that the operating personnel carries out the operation, when cutting out the mistake, sewing the mistake or scalding the dyeing mistake, the staff still can scan the traceability code on the clothing material through handheld device to upload the information of the unusual processing product that corresponds, and then, data monitoring unit can obtain the quantity of unusual processing product based on the traceability code, when the quantity of unusual processing product is greater than the number threshold value, can send warning prompt message to the managers, with suggestion managers notice the course of working of supervision clothing product, guarantee product processingquality, avoid the waste of clothing material.
For example, reference may be made to fig. 4, fig. 4 showing a schematic production flow diagram of a production scheduling method in an exemplary embodiment of the present disclosure, and a specific implementation will be explained below with reference to fig. 4.
After receiving the clothing orders, a scheduling plan can be formulated, clothing materials in the face auxiliary material warehouse are called according to the production plan (scheduling sequence), and the production plan is issued to a target workshop for execution;
The production and processing process comprises the following steps: the workshop makes and generates RFID labels with corresponding quantity according to the order quantity in the production plan, sends the RFID labels to corresponding cutting stations, and operators perform cutting, sewing, scalding, quality inspection and other procedures and conveys processed products to a finished product warehouse;
The production monitoring process comprises the following steps: the production monitoring equipment can acquire production flow information (a workbench corresponding to which worker the clothing material is currently positioned), production efficiency information and quality information (quality inspection qualification rate, abnormal processed product quantity and the like) through the traceability codes, so that the whole production process is monitored.
By way of example, reference may be made to fig. 5, where fig. 5 illustrates a schematic diagram of a production scheduling method in an exemplary embodiment of the present disclosure, mainly including a data acquisition layer, a data monitoring layer, a system application layer, and an enterprise application layer, and a specific implementation is explained below in connection with fig. 5.
The data acquisition layer acquires the condition of clothing materials in production circulation by utilizing the technology of the Internet of things such as RFID, two-dimensional codes or bar codes. Each worker has a handheld terminal, RFID, two-dimensional code or bar code information of clothing materials can be scanned through the handheld terminal, when problems exist in product quality or production state, the worker can manually input information and report the information, and meanwhile, the worker can finish functions of punching cards, going to work, resting, off-line and the like at the handheld terminal.
The data monitoring layer can acquire the operation information of the operators, and further, work efficiency of each operator is calculated according to the proficiency of the operators, the standard operation duration and the actual operation duration; and counting the quality inspection qualification rate of the processed product and alarming in time.
The system application layer refers to a foreground used by a user and is responsible for displaying data processed by a background, a manager can complete account maintenance, authority setting and system management and basic information maintenance of an operator, meanwhile, the working efficiency of the operator and quality inspection conditions of products can be checked, and meanwhile, a scheduling result can be generated according to production conditions and clothing orders and is uploaded to an MES system (manufacturing execution system, manufacturing execution system, MES for short).
The enterprise application layer refers to the MES system of the enterprise, which can receive and execute the scheduling results.
The present disclosure also provides a production scheduling apparatus, and fig. 6 shows a schematic structural diagram of the production scheduling apparatus in an exemplary embodiment of the present disclosure; as shown in fig. 6, the production scheduling device 600 may include a data acquisition module 601, a data determination module 602, and a production scheduling module 603. Wherein:
the data acquisition module 601 is configured to acquire a plurality of processing procedures corresponding to each garment type in the garment order, and determine a processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device.
The data determining module 602 is configured to determine a sequence to be processed corresponding to each processing device according to a corresponding relationship between the processing procedure and the processing device.
The production scheduling module 603 is configured to search and rank the sequences to be processed by using a heuristic search algorithm based on the processing sequence of the multiple processing procedures, so as to obtain multiple candidate scheduling sequences; and determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence.
In an exemplary embodiment of the present disclosure, the production schedule sequence is further configured to obtain a target number of processing steps included in the sequence to be processed; and determining the first product of the time length of each processing procedure executed by each processing device and the target number as the production time length corresponding to each candidate scheduling sequence.
In an exemplary embodiment of the present disclosure, the production schedule sequence is further configured to determine a start time of the processing equipment to perform the processing procedure corresponding to each garment type according to the optimal schedule sequence; determining the target duration of the processing equipment for executing the processing procedure corresponding to each clothing type according to the start time; determining the usage amount of the clothing material according to the ratio of the target time length to the time length of each processing sequence executed by the processing equipment; determining the difference between the total amount of the clothing material and the usage amount as the residual stock amount of the clothing material; and when the residual stock quantity is smaller than the target use quantity, sending alarm prompt information to the manager.
In an exemplary embodiment of the present disclosure, the production scheduling sequence is further for obtaining the number of abnormally processed products based on the traceability code on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or hot dyeing error products; and when the number of the abnormal processed products is greater than the number threshold, sending alarm prompt information to the manager.
In an exemplary embodiment of the present disclosure, the production scheduling sequence is further configured to obtain, based on the traceability code on the clothing material, operation information of the target operator in a preset time period, where the operation information includes an operation type, a processing procedure, and an operation number; inquiring standard operation time of a target worker from a preset operation time length comparison table according to the processing procedure and the operation type; determining a second product of the operation times and the standard operation time as the standard operation duration of the target operator; and determining the ratio of the standard operation duration to the actual operation duration as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the production scheduling sequence is further configured to obtain a third product of the actual job duration and the proficiency of the target job personnel; and determining the ratio of the standard operation duration to the third product as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the production scheduling sequence is further configured to perform quality inspection on a processed product of the target operator to obtain a quality inspection qualification rate; obtaining a fourth product of the working efficiency and the first weight, and obtaining a fifth product of the quality inspection qualification rate and the second weight; determining a production evaluation value of the target operator according to the fourth product and the fifth product; and when the production evaluation value is smaller than the evaluation threshold value, sending an alarm prompt to a manager.
The details of each step in the production scheduling apparatus are described in detail in the corresponding production scheduling method, and thus are not described herein.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order, or that all illustrated steps be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer storage medium capable of implementing the above method is also provided. On which a program product is stored which enables the implementation of the method described above in the present specification. In some possible embodiments, the various aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
Referring to fig. 7, a program product 700 for implementing the above-described method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 800 according to such an embodiment of the present disclosure is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 8, the electronic device 800 is embodied in the form of a general purpose computing device. Components of electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one storage unit 820, a bus 830 connecting the different system components (including the storage unit 820 and the processing unit 810), and a display unit 840.
Wherein the storage unit stores program code that is executable by the processing unit 810 such that the processing unit 810 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification. For example, the processing unit 810 may perform the operations as shown in fig. 1: step S110, acquiring a plurality of processing procedures corresponding to each garment type in a garment order, and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device; determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device; based on the processing sequence of multiple processing procedures, searching and sequencing the sequence to be processed by adopting a heuristic search algorithm to obtain multiple candidate scheduling sequences; and determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence.
The storage unit 820 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 8201 and/or cache memory 8202, and may further include Read Only Memory (ROM) 8203.
Storage unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205, such program modules 8205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 830 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 800 may also communicate with one or more external devices 900 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 800, and/or any device (e.g., router, modem, etc.) that enables the electronic device 800 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 850. Also, electronic device 800 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 860. As shown, network adapter 860 communicates with other modules of electronic device 800 over bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 800, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (7)
1. A method of production scheduling comprising:
Acquiring a plurality of processing procedures corresponding to each clothing type in a clothing order, and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device;
Determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device;
Based on the processing sequence of the plurality of processing procedures, searching and sequencing the sequences to be processed by adopting a heuristic search algorithm to obtain a plurality of candidate scheduling sequences;
determining the candidate scheduling sequence with the shortest production duration as an optimal scheduling sequence;
Acquiring the usage amount of the clothing material corresponding to the processing equipment when executing the processing procedure corresponding to each clothing type according to the production time length corresponding to the optimal arrangement program sequence;
Determining a difference between the total amount of clothing material and the usage amount as a remaining inventory amount of the clothing material;
when the residual stock quantity is smaller than the target use quantity, sending alarm prompt information to a manager; the target usage represents usage of the garment material over a future period of time;
Acquiring the number of abnormal processing products based on the traceability codes on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or hot dyeing error products;
When the number of the abnormal processed products is larger than a number threshold, sending alarm prompt information to the manager;
acquiring operation information of a target operator in a preset time period based on the traceability code on the clothing material, wherein the operation information comprises operation types, processing procedures and operation times;
inquiring the standard operation time of the target staff from a preset operation duration comparison table according to the processing procedure and the operation type;
Determining a second product of the operation times and the standard operation time as a standard operation duration of the target operator;
Obtaining a third product of the actual operation duration and the proficiency of the target operator;
and determining the ratio of the standard operation duration to the third product as the working efficiency of the target operator.
2. The method according to claim 1, wherein the method further comprises:
obtaining the target number of the processing procedures included in the sequence to be processed;
And determining the first product of the time length of each processing procedure executed by each processing device and the target number as the production time length corresponding to each candidate scheduling sequence.
3. The method according to claim 1, wherein the obtaining, according to the production time period corresponding to the optimal arrangement program sequence, the usage amount of the clothing material corresponding to the processing equipment when performing the processing procedure corresponding to each clothing type includes:
Determining the start time of the processing equipment for executing the processing procedure corresponding to each clothing type according to the production time corresponding to the optimal arrangement program sequence;
Determining a target duration of the processing equipment for executing the processing procedure corresponding to each clothing type according to the start-up time;
And determining the usage amount of the clothing material according to the ratio of the target duration to the duration of each processing sequence executed by the processing equipment.
4. The method according to claim 1, wherein the method further comprises:
quality inspection is carried out on the processed product of the target operator to obtain quality inspection qualification rate;
obtaining a fourth product of the working efficiency and the first weight, and obtaining a fifth product of the quality inspection qualification rate and the second weight;
determining a production evaluation value of the target operator according to the fourth product and the fifth product;
and when the production evaluation value is smaller than an evaluation threshold value, sending an alarm prompt to the manager.
5. A production scheduling apparatus, comprising:
The data acquisition module is used for acquiring a plurality of processing procedures corresponding to each clothing type in the clothing order and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device;
The data determining module is used for determining a sequence to be processed corresponding to each processing device according to the corresponding relation between the processing procedure and the processing device;
the production scheduling module is used for searching and sequencing the sequences to be processed by adopting a heuristic search algorithm based on the processing sequence of the plurality of processing procedures to obtain a plurality of candidate scheduling sequences; determining the candidate scheduling sequence with the shortest production duration as an optimal scheduling sequence;
Acquiring the usage amount of the clothing material corresponding to the processing equipment when executing the processing procedure corresponding to each clothing type according to the production time length corresponding to the optimal arrangement program sequence;
Determining a difference between the total amount of clothing material and the usage amount as a remaining inventory amount of the clothing material;
when the residual stock quantity is smaller than the target use quantity, sending alarm prompt information to a manager; the target usage represents usage of the garment material over a future period of time;
Acquiring the number of abnormal processing products based on the traceability codes on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or hot dyeing error products;
When the number of the abnormal processed products is larger than a number threshold, sending alarm prompt information to the manager;
acquiring operation information of a target operator in a preset time period based on the traceability code on the clothing material, wherein the operation information comprises operation types, processing procedures and operation times;
inquiring the standard operation time of the target staff from a preset operation duration comparison table according to the processing procedure and the operation type;
Determining a second product of the operation times and the standard operation time as a standard operation duration of the target operator;
Obtaining a third product of the actual operation duration and the proficiency of the target operator;
and determining the ratio of the standard operation duration to the third product as the working efficiency of the target operator.
6. A computer storage medium having stored thereon a computer program, which when executed by a processor implements the production scheduling method of any one of claims 1 to 4.
7. An electronic device, comprising:
a processor; and
A memory for storing executable instructions of the processor;
Wherein the processor is configured to perform the production scheduling method of any one of claims 1-4 via execution of the executable instructions.
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