CN112001619A - Production scheduling method and device, computer storage medium and electronic equipment - Google Patents
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Abstract
The present disclosure relates to the technical field of production scheduling, and provides a production scheduling method, a production scheduling device, a computer storage medium, and an electronic apparatus, wherein the production scheduling method includes: 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 procedures and the processing devices; based on the processing sequence of a 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. The method disclosed by the invention can not only carry out automatic scheduling according to the order, but also realize real-time monitoring and quality monitoring of the production link, save the production cost and improve the 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 apparatus, a computer storage medium, and an electronic device.
Background
Along with the rapid development of the manufacturing industry in recent years, the textile industry is rapidly changed along with the rise of intelligent manufacturing.
At present, for example, in the clothing industry, the production process lacks scientific management, most of the production process depends on experience, so that the production capacity cannot be monitored, the scheduling is executed by means of mental beating, and the working efficiency is seriously influenced. Meanwhile, the production data is not transparent, the problems of accumulation of products, production progress of clothes batches, quality of products and the like are not clear, and the production cost of enterprises is increased.
In view of the above, there is a need in the art to develop a new production scheduling method and apparatus.
It is to be noted that the information disclosed in the background section above is only used to enhance understanding of the background of the present disclosure.
Disclosure of Invention
The present disclosure is directed to a production scheduling method, a production scheduling apparatus, a computer storage medium, and an electronic device, which avoid the drawback of low efficiency in the related art at least to a certain extent.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by 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 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 procedures and the processing devices; based on the processing sequence of the multiple processing procedures, searching and sequencing the sequence 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: acquiring the target number of processing procedures contained 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 scheduling sequence having the shortest production duration as the optimal scheduling sequence, the method further includes: determining the start time of the processing equipment for executing the processing procedure corresponding to each garment type according to the optimal scheduling sequence; determining the target time length for the processing equipment to execute 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 value between the total amount of the clothing materials and the usage amount as the remaining stock of the clothing materials; and when the residual inventory is less than the target usage amount, sending alarm prompt information to a manager.
In an exemplary embodiment of the present disclosure, the method further comprises: acquiring the number of abnormally processed products based on the source tracing codes on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or ironing and dyeing error products; and when the number of the abnormal processing products is larger than the number threshold value, 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 tracing code on the clothing material, wherein the operation information comprises an operation type, a processing procedure and operation times; according to the machining process and the operation type, the standard operation time of the target worker is inquired from a preset operation time comparison table; determining a second product of the operation times and the standard operation time as the standard operation time length of the target operator; and determining the ratio of the standard operation time length to the actual operation time length as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the method further comprises: acquiring a third product of the actual operation time length and the proficiency of the target operator; and determining the ratio of the standard operation time length to the third product as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the method further comprises: performing quality inspection on the processed product of the target operator to obtain the quality inspection qualified rate; acquiring a fourth product of the working efficiency and the first weight, and acquiring a fifth product of the quality inspection qualified rate and the second weight; determining the 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 apparatus comprising: the data acquisition module is used for acquiring a plurality of processing procedures corresponding to each garment type in the garment 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 procedures and the processing devices; the production scheduling module is used for searching and sequencing the sequence 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 a computer program stored thereon, the computer program, when executed by a processor, implementing the production scheduling method of the first aspect.
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 execute the production scheduling method of the first aspect via execution of the executable instructions.
As can be seen from the above technical solutions, the production scheduling method, the production scheduling apparatus, 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 (each processing procedure corresponds to one piece of processing equipment) corresponding to each garment type in a garment order are obtained, and a processing sequence of the plurality of processing procedures is determined, which can be preset to ensure that a subsequently obtained scheduling sequence conforms to the processing sequence of the procedures, thereby improving the qualification rate of garment products. Furthermore, according to the corresponding relationship between the processing procedures and the processing equipment, the sequence to be processed corresponding to each processing equipment is determined, the sequence to be processed which needs to be executed by each processing equipment can be determined, and the subsequent sequence to be processed is conveniently scheduled. On the other hand, based on the processing sequence of the multiple processing procedures, a heuristic search algorithm is adopted to search and sort the sequence to be processed to obtain a plurality of candidate scheduling sequences; the candidate scheduling sequence with the shortest production time is determined as the optimal scheduling sequence, so that 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.
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 present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 is a flow diagram illustrating a method for production scheduling in an exemplary embodiment of the present disclosure;
FIG. 2 is a sub-flow diagram illustrating a method of production scheduling in an exemplary embodiment of the present disclosure;
FIG. 3 is a sub-flow diagram illustrating a method for production scheduling in an exemplary embodiment of the present disclosure;
FIG. 4 is a schematic flow chart diagram illustrating an overall production scheduling method according to an exemplary embodiment of the present disclosure;
FIG. 5 is a block diagram illustrating a production scheduling method according to an exemplary embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a production scheduling apparatus according to an exemplary embodiment of the present disclosure;
FIG. 7 shows a schematic diagram of a structure of a computer storage medium in an exemplary embodiment of the disclosure;
fig. 8 shows a schematic structural diagram 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. Example embodiments may, however, be embodied in many different 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 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 disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. 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/parts/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first" and "second", etc. are used merely as labels, and are not limiting on 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 their repetitive description 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, for example, in the clothing industry, the production process lacks scientific management, most of the production process depends on experience, so that the production capacity cannot be monitored, the scheduling is executed by means of mental beating, and the working efficiency is seriously influenced. Meanwhile, the production data is not transparent, the problems of accumulation of products, production progress of clothes batches, quality of products and the like are not clear, and the production cost of enterprises is increased.
In an embodiment of the present disclosure, a production scheduling method is provided to overcome, at least to some extent, the inefficiency of the production scheduling method provided in the related art.
Fig. 1 is a flow chart illustrating a production scheduling method according to an exemplary embodiment of the present disclosure, wherein an executive body 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, obtaining a plurality of processing procedures corresponding to each garment type in the 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, based on the processing sequence of a 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;
step S140, determine the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence.
In the technical solution provided in the embodiment shown in fig. 1, on one hand, a plurality of processing procedures (each processing procedure corresponds to one processing device) corresponding to each garment type in a garment order are obtained, and a processing sequence of the plurality of processing procedures is determined, which can be preset to ensure that a subsequently obtained scheduling sequence conforms to the processing sequence of the procedures, thereby improving the qualification rate of garment products. Furthermore, the sequence to be processed corresponding to each processing device is determined according to the corresponding relationship between the processing procedures and the processing devices, so that the sequence to be processed which each processing device needs to execute can be determined, and the subsequent sequence to be processed can be conveniently scheduled. On the other hand, on the basis of the processing sequence of a plurality of processing procedures, a heuristic search algorithm is adopted to search and sort the sequences to be processed to obtain a plurality of candidate scheduling sequences; the candidate scheduling sequence with the shortest production time is determined as the optimal scheduling sequence, so that 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.
The following describes the specific implementation of each step in fig. 1 in detail:
the production scheduling is to arrange the production sequence of each production task, optimize the production sequence and optimally select production equipment under the condition of considering capacity and equipment and under the condition of a certain quantity of materials, so that the waiting time is reduced, and the production load of each processing equipment and workers is balanced. Thereby optimizing the productivity and improving the working efficiency. Briefly: is the process of assigning production tasks to production resources.
In step S110, a plurality of processing procedures corresponding to each garment type in the garment order are obtained, and a processing sequence of the plurality of processing procedures is determined.
Wherein each processing procedure corresponds to a processing device.
The types of clothes included in the clothes order can be obtained, for example, when the clothes order includes 4 types of clothes (jacket, short-sleeve, short-pants, and shirt), and the order amount is 400 pieces, for example, 100 pieces of jacket, 100 pieces of short-sleeve, 100 pieces of short-pants, and 100 pieces of shirt can be obtained.
Further, for example, when the garment processing includes a total of 7 steps (e.g., cutting, sewing, ironing, quality inspection … …, which is denoted as g1, g2, g3, g4, g5, g6, g7 for convenience of description), the garment type "jacket" may include processing steps g1, g2, g3, g4, g5, g6, and the processing sequence corresponding to the 6 processing steps may be: g2-g1-g3-g4-g5-g 6; the processing procedures of the clothing type short sleeve can be g1, g2, g3 and g6, and the processing sequence corresponding to the 4 processing procedures can be g1-g2-g3-g 6; 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-g 4; the processing procedures of 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-g 7. As can be seen, the garment types include 4 types (m is 4), and the processing procedure of the garment type having the largest processing procedure has 6 processing procedures (k is 6), so that the processing sequence X of the plurality of processing procedures corresponding to the plurality of garment typeskmCan 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, there is a corresponding relationship between each processing procedure and each processing device, for example, when the garment processing includes a total of 7 procedures (e.g., g1, g2, g3, g4, g5, g6, g7), then 7 processing devices (M1-M7) may be provided, specifically, processing device M1 may be used to perform processing procedure g1, processing device M2 may be used to perform processing procedure g2, processing device M3 may be used to perform processing procedure g3, processing device M4 may be used to perform processing procedure g4, processing device M5 may be used to perform processing procedure g5, processing device M6 may be used to perform processing procedure g6, and processing device M7 may be used to perform processing procedure g 7.
Thus, it can be determined that the sequence to be processed that the processing apparatus M1 needs to execute is: the process comprises the steps of g1 corresponding to the garment type 'coat', '1 corresponding to the short sleeve', '1 corresponding to the shorts'. The sequence to be processed that the processing device M2 needs to execute is: and g2 process corresponding to the clothing type short sleeve. The sequence to be processed that the processing apparatus M3 needs to execute includes: the clothing type comprises a step g3 corresponding to a clothing type 'coat', 'a step g3 corresponding to a short sleeve', 'a step g3 corresponding to a short pants', 'a step g3 corresponding to a shirt'. The sequence to be processed that the processing device M4 needs to execute is: the clothing type "coat" corresponds to g4 process-shorts "corresponds to g4 process-shirts" corresponds to g4 process. The sequence to be processed that the processing device M5 needs to execute is: the step g5 corresponding to the garment type ' coat ' -the step g5 corresponding to the shirt '. The sequence to be processed that the processing device M6 needs to execute is: g6 process corresponding to "coat" -g6 process corresponding to "shirt". The sequence to be processed that the processing device M7 needs to execute is: "shirt" corresponds to step g 7.
Therefore, the sequences to be processed, which need to be executed by each processing device, can be determined, and the production scheduling of the subsequent sequences to be processed is facilitated.
In step S130, based on the processing sequence of the multiple processing procedures, a heuristic search algorithm is used to search and sort the sequences to be processed, so as to obtain multiple candidate scheduling sequences.
Further, the processing sequence X may be based on the above-described processing steps64And searching and sequencing the sequences to be processed by adopting a heuristic search algorithm to obtain a plurality of candidate scheduling sequences. The heuristic search algorithm is to search in the state space to evaluate each searched position to obtain the best position, and then search from the position until the target is met. Illustratively, the heuristic search algorithm may include: genetic algorithm, ant colony algorithm (the ant colony algorithm is a random search optimization method from nature, is a colony heuristic behavior in the biological world, and is continuously applied to a plurality of fields such as combinatorial optimization, artificial intelligence, communication and the likeThe development potential of the method, better adaptability), an artificial immune algorithm, a simulated annealing algorithm and the like can be set according to actual conditions, and the method belongs to the protection scope of the disclosure.
Illustratively, when the time period during which machining apparatus M1 performs machining process g1 is t1 seconds, the time period during which machining apparatus M2 performs machining process g2 is t2 seconds, the time period during which machining apparatus M3 performs machining process g3 is t3 seconds, the time period during which machining apparatus M4 performs machining process g4 is t4 seconds, the time period during which machining apparatus M5 performs machining process g5 is t5 seconds, the time period during which machining apparatus M6 performs machining process g6 is t6 seconds, and the time period during which machining apparatus M7 performs machining process g7 is t7 seconds, the time period during which a plurality of machining apparatuses perform each machining process is t1 seconds, then64Can be expressed as
Furthermore, the target number of the processing procedures included in the sequence to be processed can be obtained, and the first product of the time length of each processing procedure executed by each processing device and the target number is determined as the production time length corresponding to each candidate scheduling sequence. For example, when a candidate scheduling sequence is identified, the sub-sequence corresponding to the processing tool M1 is: when g1 procedure corresponding to "short sleeve" is performed, g1 procedure corresponding to "coat" is performed, and g1 procedure corresponding to "short pants" is performed, it can be known by referring to the relevant explanations of the above steps that the clothing order includes 100 pieces of coats, 100 pieces of short sleeves, and 100 pieces of short pants, so that the target number of g1 procedure corresponding to "short sleeve" is determined to be 100, the target number of g1 procedure corresponding to "coat" is determined to be 100, the target number of g1 procedure corresponding to "short pants" is determined to be 100, and the duration of the g1 procedure performed by the processing equipment M1 is t1, so that the production duration of the subsequence can be determined to be: 100 × t1+100 × t1+100 × t1 is 300 × t1, and similarly, the production durations of the subsequences corresponding to the processing devices M2 to M7 can be sequentially calculated, so as to obtain 7 production duration values. Further, in the case where 7 processing apparatuses are simultaneously operated, the production time length with the largest value among the 7 values may be determined as the production time length of the candidate scheduled sequence.
In step S140, the candidate schedule sequence with the shortest production duration is determined as the optimal schedule sequence.
After the production duration corresponding to each candidate scheduling sequence is determined, the candidate scheduling sequence with the shortest production duration may be determined as the optimal scheduling sequence.
Illustratively, a constraint function min ∑ D may be setkmWherein D iskmIs a max kiThe two-dimensional matrix of the multiplied by M represents the processing sequence x of the clothing order ikmThe starting time of the process, and then, the optimal schedule sequence M satisfying the above-mentioned constraint function (i.e., the shortest length in production) can be determined from the plurality of candidate schedule sequencesmn(m is the number of garment types, n is the number of processing equipment, m is 4, and n is 7). For example, the optimal scheduling sequence can be expressed as
It means that:
the processing equipment M1 executes the g1 process corresponding to the clothing type short pants, then executes the g1 process corresponding to the clothing type short sleeves, and further executes the g1 process corresponding to the clothing type coat;
the processing equipment M2 executes the g2 process corresponding to the clothing type 'coat' firstly, and then executes the g2 process corresponding to the clothing type 'short sleeve';
the processing equipment M3 executes a g3 process corresponding to a clothing type shirt, then executes a g3 process corresponding to a clothing type short-sleeve, further executes a g3 process corresponding to clothing type shorts, and finally executes a g3 process corresponding to clothing type coat;
the processing equipment M4 firstly executes a g4 process corresponding to the clothing type shirt, then executes a g4 process corresponding to the clothing type shorts and finally executes a g4 process corresponding to the clothing type coat;
the processing equipment M5 firstly executes a g5 process corresponding to the clothing type shirt and then executes a g5 process corresponding to the clothing type coat;
the processing equipment M6 executes the g6 process corresponding to the clothing type shirt, then executes the g6 process corresponding to the clothing type short-sleeve and finally executes the g6 process corresponding to the coat;
the processing apparatus M7 executes a 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, for example, referring to fig. 2, fig. 2 shows a sub-flowchart of a production scheduling method in an exemplary embodiment of the present disclosure, specifically determining the remaining inventory amount, and sending an alarm prompt message to a manager when the remaining inventory amount is less than the target usage amount, including steps S201 to S205, and the following describes a specific implementation manner with reference to fig. 2.
In step S201, the start time of the processing device executing the processing procedure corresponding to each garment type is determined according to the production duration corresponding to the optimal scheduling sequence.
The start-up time of the processing device for executing the processing procedure corresponding to each garment type may be determined according to the production duration corresponding to the optimal scheduling sequence, and for example, the start-up time D of the processing procedure corresponding to each garment type may be determined64Can be
It means that:
for the garment type "jacket", the processing device M2 starts executing the g2 process at a time T0, the processing device M1 starts executing the g1 process at a time T1, the processing device M3 starts executing the g3 process at a time T2, the processing device M4 starts executing the g4 process at a time T3, the processing device M5 starts executing the g5 process at a time T4, and the processing device M6 starts executing the g6 process at a time T5.
For the clothing type "short sleeves", processing equipment M1 starts to perform the g1 process at time T6, processing equipment M2 starts to perform the g2 process at time T7, processing equipment M3 starts to perform the g3 process at time T8, and processing equipment M6 starts to perform the g6 process at time T9.
For the clothing type "shorts", the processing machine M1 starts to perform the g1 process at a time T10, the processing machine M3 starts to perform the g3 process at a time T11, and the processing machine M4 starts to perform the g4 process at a time T12.
For the clothing type "shirt", processing device M3 starts executing the g3 process at time T13, processing device M4 starts executing the g4 process at time T14, processing device M5 starts executing the g5 process at time T15, processing device M6 starts executing the g6 process at time T16, and processing device M7 starts executing the g7 process at time T17.
In step S202, a target duration for the processing device to perform the processing procedure corresponding to each garment type is determined according to the start time.
Thus, for example, the start-up time D is based on each process64It can be concluded that, for the garment type "suit", the target length of time for the processing device M2 to perform the g2 procedure is: (T2-T1) hours; the target time length for the processing apparatus M3 to execute the g3 process is: (T3-T2) hours; the target time length for the processing apparatus M4 to execute the g4 process is: (T4-T3) hours; the target time length for the processing apparatus M5 to execute the g5 process is: (T5-T4) hours; the processing apparatus M3 performed the g6 process for a target period of time of (T6-T5) hours.
In step S203, the usage amount of the clothing material is determined according to the ratio of the target time length to the time length of each processing sequence executed by each processing device.
Thus, referring to the above explanation of the steps, when the time period for the processing apparatus M2 to execute the sequence to be processed g2 is T2, the usage amount of the clothing material is:
in step S204, the difference between the total amount of the clothing material and the usage amount is determined as the remaining stock amount of the clothing material.
Further, when the total amount of the clothing material displayed on the product bill of materials is Sum, it can be determined that the remaining stock amount of the clothing material after (T2-T1) hours is
In step S205, when the remaining stock quantity is less than the target usage amount, alarm prompt information is transmitted to the manager.
Illustratively, referring to the above explanation of step S203, when the remaining inventory amount is
When the target usage amount of the clothing material in another order is calculated to be 1400, the remaining stock amount can be determined to be smaller than the future usage amount of the clothing material, and alarm prompt information can be sent to a manager to remind the manager to replenish the stock in time, so that delay of the production progress is avoided, and the production efficiency is ensured.
For example, when the garment manufacturing process is completed by manual operation, the present disclosure may also monitor the work efficiency of the relevant worker, and for example, refer to fig. 3, fig. 3 shows a sub-flow diagram of a production scheduling method in an exemplary embodiment of the present disclosure, which includes steps S301 to S304, and the following detailed description is explained with reference to fig. 3.
In step S301, operation information of the target operator in a preset time period is obtained based on the tracing code on the clothing material, where the operation information includes a processing procedure, a clothing type, and an operation frequency.
For example, each clothing material may be provided with a traceability code, and the traceability code includes an identification number of the clothing material and a processing procedure of each operator. It should be noted that the source tracing code may be a two-dimensional code, a barcode, an RFID (Radio Frequency Identification, RFID for short), and the like, and may be set according to an actual situation, which 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 tracing code set on the clothing material may be scanned by a handheld device (e.g., a mobile terminal supporting scanning, a barcode scanner, etc.), the job number or name of the tracing code may be input as the operator information, and then the processing procedure "sewing" and the corresponding clothing type may be input, and the storage information may be submitted, and at this time, the server may also record the time for storing the information.
Therefore, the number of operations of the target operator W in a preset time period (for example, one hour from 9 o 'clock to 10 o' clock) can be determined through the traceability codes on the plurality of clothing materials and the time for storing the information.
For example, it may be determined that the number of jobs of the target worker W in the preset time period is: the sewing operation was performed X1 times for the garment type "jacket" and X2 times for the garment type "short sleeve".
In step S302, the standard working time of the target worker is searched from the preset working time comparison table according to the garment type and the processing procedure.
For example, standard working hours corresponding to different garment types and different processing procedures can be determined by a model method and stored as an operation duration comparison table, for example, refer to table 1, where table 1 shows an exemplary table of the operation duration comparison table in the present disclosure:
TABLE 1
Accordingly, as can be seen from table 1, the standard work time for sewing the "jacket" by the target worker W is a5 seconds, and the standard work time for sewing the "short sleeve" is a6 seconds.
In step S303, the second product of the number of jobs and the standard work time is determined as the standard work time length of the target worker.
Thus, referring to the above-described explanation concerning step S302, the second product of the number of jobs and the standard work time may be determined as the standard work time length of the target worker. Illustratively, the standard operation duration of the target operator W is determined as follows: tb × 1 × a5+ X2 × a 6.
In step S304, the ratio of the standard operating time length to the actual operating time length is determined as the work efficiency of the target operator.
For example, the actual working time (e.g., 3600s) may be obtained, and the ratio of the standard working time to the actual working time may be determined as the working efficiency of the target operator. Illustratively, the work efficiency of the target worker W within one hour
For example, the proficiency level may be set according to the working age of the operator, and for example, when the working age of the operator is less than two years, the proficiency level may be set to α1(α1E (0.8, 1)), and when the working life of the worker is more than two years and less than five years, the proficiency can be set to be alpha2(α2E (1, 1.1)), and when the working life of the worker is more than five years, the proficiency can be set to be alpha3(α3E (1.1, 1.2)), the specific value of each proficiency level can be set according to the actual situation, and the method belongs to the protection scope of the disclosure.
When the actual working time of the target operator W in the preset time period is 3600s and the working life of the target operator W is more than two years and less than five years, it can be determined that the proficiency of the target operator W is α2Thus, the third product of the actual work duration and the proficiency of the target worker may be expressed as 3600 x α2. Further, the ratio of the standard working duration to the third product may be determined as the working efficiency of the target worker, and thus the working efficiency of the target worker W within one hour
For example, the work efficiency of the target worker W within a period of time (for example, one month) may also be calculated, and further, when the work efficiency of the target worker W within one hour is smaller than the efficiency threshold (50%), or the work efficiency of the target worker W within one month is smaller 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 work situation of each worker in real time.
For example, the quality inspection of the processed product of the target operator W may be performed to obtain a quality inspection yield, and for example, the obtained quality inspection yield may be 85%. Further, a fourth product of the work efficiency of the target worker W and the first weight may be acquired, and a fifth product of the quality inspection yield and the second weight may be acquired, and a sum of the fourth product and the fifth product may be determined as a production evaluation value, and further, when the production evaluation value is smaller than an evaluation threshold value, an alarm prompt may be sent to a manager. For example, when the operating efficiency is 80% and the first weight is 0.4, the fourth product is 80% × 0.4 ═ 0.32, when the quality inspection yield is 85% and the second weight is 0.6, the fifth product is 85% × 0.6 ═ 0.51, and thus the production evaluation value is 0.32+0.51 ═ 0.83, and when the evaluation threshold value is 0.9, it may be determined that the production evaluation value is smaller than the evaluation threshold value, and thus, an alarm prompt may be sent to the manager.
It should be noted that, in the process of operation performed by an operator, when a cutting error, a sewing error or a scalding and dyeing error occurs, the operator can also scan the traceability codes on the clothing material through the handheld device and upload the information of the corresponding abnormal processing products, and then the data monitoring unit can acquire the number of the abnormal processing products based on the traceability codes, and when the number of the abnormal processing products is greater than the number threshold, the data monitoring unit can send alarm prompt information to a manager to prompt the manager to pay attention to the processing process of monitoring the clothing products, so that the processing quality of the products is ensured, and the waste of the clothing materials is avoided.
For example, referring to fig. 4, fig. 4 shows a schematic production flow diagram of a production scheduling method in an exemplary embodiment of the disclosure, and a specific implementation is explained below with reference to fig. 4.
After receiving the clothing order, a scheduling plan can be made, clothing materials in the surface auxiliary material warehouse are called according to a production plan (scheduling sequence), and the production plan is issued to a target workshop to be executed;
the production and processing process comprises the following steps: the workshop is manufactured according to the order quantity in the production plan and generates RFID tags with corresponding quantity, the RFID tags are sent to corresponding cutting stations, the working personnel carry out the working procedures of cutting, sewing, heavy ironing, quality inspection and the like, and the processed products are conveyed 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 operator the clothing material is currently located on), production efficiency information and quality information (quality inspection qualified rate, quantity of abnormally processed products and the like) through the traceability codes, and monitor the whole production process.
By way of example, referring to fig. 5, fig. 5 shows an architecture diagram of a production scheduling method in an exemplary embodiment of the present disclosure, which mainly includes a data acquisition layer, a data monitoring layer, a system application layer, and an enterprise application layer, and a specific implementation is explained below with reference to fig. 5.
The data acquisition layer acquires the conditions of the clothing materials in the production circulation by using the RFID, the two-dimensional codes or the bar codes and other internet of things technologies. Each operator has a handheld terminal, the RFID, the two-dimensional code or the bar code information of the clothing material can be scanned through the handheld terminal, when the product quality or the production state has problems, the operators can manually input the information and report the information, and meanwhile, the operators can complete functions of checking cards, getting on and off work, taking a rest, off-line and the like at the handheld terminal.
The data monitoring layer can acquire the operation information of the operators, and further calculate the working efficiency of each operator according to the proficiency of the operators, the standard operation time length and the actual operation time length; and counting the quality inspection qualified rate of the processed product and giving an alarm in time.
The system application layer refers to a foreground used by a user and is responsible for displaying data processed by the background, managers can complete account maintenance, authority setting and basic information maintenance of operators, can check the working efficiency of the operators and the quality inspection condition of products, can generate a scheduling result according to the production condition and a binding sheet, and uploads the scheduling result to an manufacturing execution system (MES for short).
The enterprise application layer refers to an MES system of an enterprise, and can receive and execute the scheduling result.
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 apparatus 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 used for acquiring a plurality of processing procedures corresponding to each garment type in the garment order and determining the processing sequence of the plurality of processing procedures; each processing procedure corresponds to a processing device.
And the data determining module 602 is configured to determine a sequence to be processed corresponding to each processing device according to a correspondence between the processing procedure and the processing device.
The production scheduling module 603 is configured to search and sort the sequences to be processed by using a heuristic search algorithm based on the processing sequence of the multiple processing procedures 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 disclosure, the production scheduling sequence is further configured to obtain a target number of 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 disclosure, the production scheduling sequence is further configured to determine, according to the optimal scheduling sequence, a start time for the processing equipment to perform the processing procedure corresponding to each garment type; determining the target time length for the processing equipment to execute the processing procedure corresponding to each garment 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 value between the total amount of the clothing materials and the usage amount as the remaining stock of the clothing materials; and when the residual inventory is less than the target usage amount, sending alarm prompt information to a manager.
In an exemplary embodiment of the present disclosure, the production scheduling sequence is further configured to obtain the number of the abnormal processing products based on the tracing code on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or scalding and dyeing error products; and when the number of the abnormally processed products is larger than the number threshold value, sending alarm prompt information to a manager.
In an exemplary embodiment of the disclosure, the production scheduling sequence is further configured to obtain operation information of the target operator in a preset time period based on the source tracing code on the clothing material, where the operation information includes an operation type, a processing procedure, and an operation frequency; according to the machining process and the operation type, the standard operation time of the target worker is inquired from a preset operation time comparison table; determining the second product of the operation times and the standard operation time as the standard operation time of the target operator; and determining the ratio of the standard operation time length to the actual operation time length as the working efficiency of the target operator.
In an exemplary embodiment of the present disclosure, the production schedule sequence is further configured to obtain a third product of the actual operation duration and the proficiency of the target operator; and determining the ratio of the standard operation time length 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 the processing product of the target operator, so as to obtain a quality inspection qualified rate; acquiring a fourth product of the working efficiency and the first weight, and acquiring a fifth product of the quality inspection qualified rate and the second weight; determining the 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 have been described in detail in the corresponding production scheduling method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the 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, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, 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 (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer storage medium capable of implementing the above method. On which a program product capable of implementing the above-described method of the present specification is stored. In some possible embodiments, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the disclosure described in the "exemplary methods" section above 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 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. A 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 (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
A computer readable signal medium may include a propagated data signal with 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 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 for 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 and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, 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., through 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.
As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 800 according to this embodiment of the disclosure is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is only an example and should not bring any limitations to the functionality and scope of use of the embodiments of the present disclosure.
As shown in fig. 8, electronic device 800 is in the form of a general purpose computing device. The components of the electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, a bus 830 connecting various system components (including the memory 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 to cause the processing unit 810 to perform steps according to various exemplary embodiments of the present disclosure as described in the "exemplary methods" section above in this specification. For example, the processing unit 810 may perform the following as shown in fig. 1: step S110, obtaining a plurality of processing procedures corresponding to each garment type in the 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 procedures and the processing devices; based on the processing sequence of a 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.
The storage unit 820 may include readable media in the form of volatile memory units such as a random access memory unit (RAM)8201 and/or a cache memory unit 8202, and may further include a read only memory unit (ROM) 8203.
The 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 of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 800 may also communicate with one or more external devices 900 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 800, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 800 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 850. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 860. As shown, the network adapter 860 communicates with the other modules of the electronic device 800 via the bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, 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 (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple 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 variations, 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 (10)
1. A method for production scheduling, comprising:
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 procedures and the processing devices;
based on the processing sequence of the multiple processing procedures, searching and sequencing the sequence 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.
2. The system of claim 1, wherein the method further comprises:
acquiring the target number of processing procedures contained 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 of claim 1, wherein after determining the candidate scheduling sequence with the shortest production duration as the optimal scheduling sequence, the method further comprises:
determining the start time of the processing equipment for executing the processing procedure corresponding to each garment type according to the production duration corresponding to the optimal scheduling sequence;
determining the target time length for the processing equipment to execute 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 value between the total amount of the clothing materials and the usage amount as the remaining stock of the clothing materials;
and when the residual inventory is less than the target usage amount, sending alarm prompt information to a manager.
4. The method of claim 3, further comprising:
acquiring the number of abnormally processed products based on the source tracing codes on the clothing material; the abnormal processing products comprise cutting error products, sewing error products and/or ironing and dyeing error products;
and when the number of the abnormal processing products is larger than the number threshold value, sending alarm prompt information to the manager.
5. The method of claim 3, further comprising:
acquiring operation information of a target operator in a preset time period based on the tracing code on the clothing material, wherein the operation information comprises an operation type, a processing procedure and operation times;
according to the machining process and the operation type, the standard operation time of the target worker is inquired from a preset operation time comparison table;
determining a second product of the operation times and the standard operation time as the standard operation time length of the target operator;
and determining the ratio of the standard operation time length to the actual operation time length as the working efficiency of the target operator.
6. The method of claim 5, further comprising:
acquiring a third product of the actual operation time length and the proficiency of the target operator;
and determining the ratio of the standard operation time length to the third product as the working efficiency of the target operator.
7. The method of claim 6, further comprising:
performing quality inspection on the processed product of the target operator to obtain the quality inspection qualified rate;
acquiring a fourth product of the working efficiency and the first weight, and acquiring a fifth product of the quality inspection qualified rate and the second weight;
determining the 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.
8. A production scheduling apparatus, comprising:
the data acquisition module is used for acquiring a plurality of processing procedures corresponding to each garment type in the garment 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 procedures and the processing devices;
the production scheduling module is used for searching and sequencing the sequence 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.
9. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the production scheduling method of any one of claims 1 to 7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the production scheduling method of any one of claims 1 to 7 via execution of the executable instructions.
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