CN112488503A - Equipment distribution method in food processing production - Google Patents

Equipment distribution method in food processing production Download PDF

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CN112488503A
CN112488503A CN202011372028.XA CN202011372028A CN112488503A CN 112488503 A CN112488503 A CN 112488503A CN 202011372028 A CN202011372028 A CN 202011372028A CN 112488503 A CN112488503 A CN 112488503A
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陈俊
李松柏
李学荣
刘川杰
王佳韵
张师睿
袁海月
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Chengdu Jiuzhou Electronic Information System Co Ltd
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Abstract

The invention discloses a device distribution method in food processing production, which comprises the following steps: s1, receiving and storing the food purchase order transmitted from the third-party platform; s2, generating a production task according to the commodity demand time in the order and the processing flow and the composition raw materials of the commodity according to the processing flow, and generating a purchasing task according to the difference between the current inventory and the demand quantity of the processing raw materials; s3, initializing a production task; s4, initializing production equipment; and S5, performing scheduling operation. The invention can effectively meet the requirement of a factory on simultaneous production of a plurality of production tasks, and can automatically sequence the tasks and distribute equipment under the condition of dependency relationship, thereby improving the production efficiency and the equipment utilization rate of enterprises and reducing the labor cost.

Description

Equipment distribution method in food processing production
Technical Field
The invention belongs to the technical field of product production, and particularly relates to an equipment distribution method in food processing production.
Background
At present, most production enterprises adopt an original manual distribution mode to process according to established production process flows and raw material composition of commodities and record the raw materials in an electronic form after receiving downstream orders for summarization, production task sequencing and equipment distribution data are carried out in a manual distribution mode in a production link still in a fixed mode, then the arranged data of production task scheduling is handed to an actual production executor, and manual adjustment and optimization are carried out on the scheduling data according to historical working experience of the production executor.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides the equipment allocation method in the food processing production, which can effectively meet the requirement of a factory on simultaneous production of a plurality of production tasks and can automatically perform task sequencing and equipment allocation under the condition of dependency relationship, thereby improving the production efficiency and equipment utilization rate of enterprises and reducing the labor cost.
The purpose of the invention is realized by the following technical scheme: a method of equipment allocation in food processing production comprising the steps of:
s1, receiving and storing the food purchase order transmitted from the third-party platform;
s2, generating a production task according to the commodity demand time in the order and the processing flow and the composition raw materials of the commodity according to the processing flow, and generating a purchasing task according to the difference between the current inventory and the demand quantity of the processing raw materials;
s3, initializing a production task;
s4, initializing production equipment;
and S5, performing scheduling operation.
Further, the specific implementation method of step S3 is as follows: dividing the task table into a task main table and a task detail table, and splitting and assembling task data of the 2 task tables into task structures according to the following rules:
A. if the task details under one task main table all use the same equipment, the task details under the task main table are all merged into the same task;
B. if the detail in the task main table uses a plurality of devices, sorting according to the execution sequence number, continuously dividing the detail using the same device into one task, and establishing a task with a dependency relationship pointing to the previous sequence number for the task behind the sequence number;
after the division is finished, establishing a dependency relationship among the tasks;
during the production, taking a task which is not depended on by any task as a root node task, firstly, distributing equipment from the root node task, and setting a cut-off time for the root node task;
further, the specific implementation method of step S4 is as follows:
s41, inquiring all available equipment, and setting single capacity corresponding to different commodities for each available equipment:
s42, judging whether the user appoints the number of the devices, if so, taking out the devices with the appointed number from each device type and putting the devices into a set to be used; if the user does not specify the number of devices, only one device is taken out of each device type and put into the set to be used.
Further, the specific implementation method of step S5 is as follows:
s51, finding out all root node tasks in the task set, arranging the root node tasks in a reverse order according to task cutting time, and then sequentially distributing equipment for all the root node tasks;
s52, searching the upper level depended task from the root node task, calculating the detailed dependence time and dependence yield of the depended task, and then distributing equipment for the depended task; then repeating the step until all tasks are distributed;
s53, judging whether the scheduling plan meets the appointed deadline, if so, if the scheduling plan meets the appointed deadline, and if the scheduling plan chooses the least occupied equipment, finishing the scheduling successfully;
if the scheduling is not completed within the specified deadline time or the scheduling type is selected to be the shortest execution time, judging which equipment is lacked according to the last scheduling result, adding one additional equipment to the lacked equipment, adding the equipment to the equipment set to be used, and performing scheduling again.
Further, in the step S51, the following two conditions need to be satisfied for the root node task allocation device:
A. the tasks are evenly distributed on all available devices;
B. under the condition that the time is not conflicted, the used equipment is preferentially used;
the method specifically comprises the following substeps:
s511, dividing the total demand of the tasks by the single productivity of the equipment to obtain the times of the tasks needing to be executed, and sequentially allocating equipment for the root node tasks by taking the one-time execution of one task in one equipment as the minimum granularity;
s512, in the device set of the device type, searching whether devices which are used by other tasks but occupy time of the other tasks and have no conflict with the current task exist, if so, executing a step S514, otherwise, executing a step S513;
s513, searching whether new equipment exists or not, and if so, adding the new equipment into an equipment set;
s514, searching the device with the latest starting occupation time in the device set, and judging whether the time difference between the device with the earliest starting occupation time is enough to execute the current task; if yes, go to step S516, otherwise go to step S515;
s515, checking whether a task capable of being replaced exists, if so, replacing the task and reallocating equipment for the replaced task; otherwise, the capacity of the current equipment type is insufficient;
s516, directly adding the task to the device which starts to execute the time at the latest.
Further, in step S515, a specific implementation method of task replacement is as follows: finding out the device with the same id as the current task from the used device set; if the same task is not executed in the previous equipment, searching the equipment with the largest number of executed tasks; in the found device, the task to be replaced is found: firstly, calculating the difference value from the earliest starting time of the same type of equipment to the earliest starting time of the current equipment, and subtracting the difference value by the task working hours to obtain the task working hours needing to be replaced; replacing other types of tasks occupied by the current equipment from morning to evening in sequence until the replaced task man-hour meets the required task man-hour calculated in the last step; the current task is put in a position before the replaced task, and then the replaced task is redistributed to the equipment.
Further, the specific implementation method of step S52 is as follows:
s521, finding out all tasks depended on by the root node task through the root node task;
s522, marking each task to be depended on by which downstream tasks;
s523, calculating the dependent quantity of each time point of the downstream task;
s524, finding out the earliest starting execution time and the latest deadline of all the downstream tasks; taking the single execution man-hour of the depended task as a segment, and dividing the segment into a plurality of segments from the earliest start of execution time to the later;
s525, calculating the execution minutes of the downstream task in each time period, and then calculating the output of the downstream task per minute, thereby obtaining the output of the downstream task in each time period;
s526, multiplying the output by the dependence proportion calculated during task initialization to obtain the demand of the depended task in each time period;
s527, the depended task is divided into a plurality of subtasks, and then equipment is allocated to the subtasks.
The invention has the beneficial effects that: the invention can effectively meet the requirement of a factory on simultaneous production of a plurality of production tasks, and can automatically sequence the tasks and distribute equipment under the condition of dependency relationship, thereby improving the production efficiency and the equipment utilization rate of enterprises and reducing the labor cost.
Drawings
FIG. 1 is a flow chart of the equipment allocation method in food processing production of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
As shown in fig. 1, the equipment distribution method in food processing production of the present invention comprises the following steps:
s1, receiving and storing the food purchase order transmitted from a third-party platform (e-commerce platform, ERP system and the like); converting the order uploaded by the three-party platform into an order data format which can be identified in the processing system according to a data corresponding mode agreed with the three-party platform;
s2, generating production tasks according to the commodity demand time in the order and the processing flow and the constituent raw materials of the commodity, wherein the production tasks have interdependence relation because the production tasks are generated according to the steps, and generating purchasing tasks according to the difference between the current inventory and the demand quantity of the processing raw materials;
a process flow can be split into a number of process steps, for example: the processing flow of the double-cooked pork can be divided into meat slice processing (meat slices are processed from whole meat), green pepper section processing (green pepper section processing is processed from whole green pepper), and dish frying (meat slices after processing and green pepper section after processing are combined to be made into the double-cooked pork, so that one flow is divided into 3 processing tasks.
The processing flow of a commodity needs to generate several production tasks, which are determined by the single arrangement of the commodity BOM, for example, commodity A is processed by three commodities A1, A2 and A3, commodity A1 is processed by three commodities A11, A12 and A13, commodity A2 is processed by three commodities A21, A22 and A23, and the like. Then the products A, A1, a2, A3 are all process products, and then 4 production tasks are generated. While A1, A2 and A3 are not only processed as the product A, they can also be present in BOM sheets of other products as an integral part of another product. The processing tasks of the same product on the same day can be combined for production.
S3, initializing a production task; the specific implementation method comprises the following steps: dividing the task table into a task main table and a task detail table, and splitting and assembling task data of the 2 task tables into task structures according to the following rules:
A. if the task details under one task main table all use the same equipment, the task details under the task main table are all merged into the same task;
B. if the detail in the task main table uses a plurality of devices, sorting according to the execution sequence number, continuously dividing the detail using the same device into one task, and establishing a task with a dependency relationship pointing to the previous sequence number for the task behind the sequence number;
after the division is finished, establishing a dependency relationship among the tasks;
during the production, taking a task which is not depended on by any task as a root node task, firstly, distributing equipment from the root node task, and setting a cut-off time for the root node task;
the main information of the production task includes: production, planned production quantity, planned production time, input product and input product quantity.
S4, initializing production equipment; the specific implementation method comprises the following steps:
s41, inquiring all available equipment, and setting single capacity corresponding to different commodities for each available equipment:
s42, judging whether the user appoints the number of the devices, if so, taking out the devices with the appointed number from each device type and putting the devices into a set to be used; if the user does not specify the number of devices, only one device is taken out of each device type and put into the set to be used.
S5, performing scheduling operation; the specific implementation method comprises the following steps:
s51, finding out all root node tasks in the task set, arranging the root node tasks in a reverse order according to task cutting time, and then sequentially distributing equipment for all the root node tasks; the following two conditions need to be satisfied for the root node task allocation device:
A. the tasks are evenly distributed on all available devices;
B. under the condition that the time is not conflicted, the used equipment is preferentially used;
the method specifically comprises the following substeps:
s511, dividing the total demand of the tasks by the single productivity of the equipment to obtain the times of the tasks needing to be executed, and sequentially allocating equipment for the root node tasks by taking the one-time execution of one task in one equipment as the minimum granularity;
s512, in the device set of the device type, searching whether devices which are used by other tasks but occupy time of the other tasks and have no conflict with the current task exist, if so, executing a step S514, otherwise, executing a step S513;
s513, searching whether new equipment exists or not, and if so, adding the new equipment into an equipment set;
s514, searching the device with the latest starting occupation time in the device set, and judging whether the time difference between the device with the earliest starting occupation time is enough to execute the current task; if yes, go to step S516, otherwise go to step S515;
s515, checking whether a task capable of being replaced exists, if so, replacing the task and reallocating equipment for the replaced task; otherwise, the capacity of the current equipment type is insufficient;
the specific implementation method of task replacement comprises the following steps: finding out the device with the same id as the current task from the used device set; if the same task is not executed in the previous equipment, searching the equipment with the largest number of executed tasks; in the found device, the task to be replaced is found: firstly, calculating the difference value from the earliest starting time of the same type of equipment to the earliest starting time of the current equipment, and subtracting the difference value by the task working hours to obtain the task working hours needing to be replaced; replacing other types of tasks occupied by the current equipment from morning to evening in sequence until the replaced task man-hour meets the required task man-hour calculated in the last step; the current task is put in a position before the replaced task, and then the replaced task is redistributed to the equipment.
S516, directly adding the task to the device which starts to execute the time at the latest.
S52, searching the upper level depended task from the root node task, calculating the detailed dependence time and dependence yield of the depended task, and then distributing equipment for the depended task; then repeating the step until all tasks are distributed;
the specific implementation method comprises the following steps:
s521, finding out all tasks depended on by the root node task through the root node task;
s522, marking each task to be depended on by which downstream tasks;
s523, calculating the dependent quantity of each time point of the downstream task;
s524, finding out the earliest starting execution time and the latest deadline of all the downstream tasks; taking the single execution man-hour of the depended task as a segment, and dividing the segment into a plurality of segments from the earliest start of execution time to the later;
s525, calculating the execution minutes of the downstream task (which has been scheduled before) in each time period, and then calculating the output of the downstream task per minute, so as to obtain the output of the downstream task in each time period;
s526, multiplying the output by the dependence proportion calculated during task initialization to obtain the demand of the depended task in each time period;
s527, the depended task is divided into a plurality of subtasks, and then equipment is allocated to the subtasks.
S53, judging whether the scheduling plan meets the appointed deadline, if so, if the scheduling plan meets the appointed deadline, and if the scheduling plan chooses the least occupied equipment, finishing the scheduling successfully;
if the scheduling is not completed within the specified deadline time or the scheduling type is selected to be the shortest execution time, judging which equipment is lacked according to the last scheduling result, adding one additional equipment to the lacked equipment, adding the equipment to the equipment set to be used, and performing scheduling again. Finally, the production task scheduling data with non-overlapping time, non-overlapping equipment occupation and production completion time earlier than the order demand time is obtained.
The content of the production task scheduling detail page of this embodiment is shown in the following table:
Figure BDA0002806409770000061
it will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.

Claims (7)

1. A method of equipment allocation in food processing production, comprising the steps of:
s1, receiving and storing the food purchase order transmitted from the third-party platform;
s2, generating a production task according to the commodity demand time in the order and the processing flow and the composition raw materials of the commodity according to the processing flow, and generating a purchasing task according to the difference between the current inventory and the demand quantity of the processing raw materials;
s3, initializing a production task;
s4, initializing production equipment;
and S5, performing scheduling operation.
2. The method for allocating equipment in food processing production according to claim 1, wherein the step S3 is implemented by: dividing the task table into a task main table and a task detail table, and splitting and assembling task data of the 2 task tables into task structures according to the following rules:
A. if the task details under one task main table all use the same equipment, the task details under the task main table are all merged into the same task;
B. if the detail in the task main table uses a plurality of devices, sorting according to the execution sequence number, continuously dividing the detail using the same device into one task, and establishing a task with a dependency relationship pointing to the previous sequence number for the task behind the sequence number;
after the division is finished, establishing a dependency relationship among the tasks;
during the production, the task which is not depended by any task is taken as a root node task, the equipment is firstly distributed from the root node task, and the deadline time is set for the root node task.
3. The method for allocating equipment in food processing production according to claim 2, wherein the step S4 is implemented by:
s41, inquiring all available equipment, and setting single capacity corresponding to different commodities for each available equipment:
s42, judging whether the user appoints the number of the devices, if so, taking out the devices with the appointed number from each device type and putting the devices into a set to be used; if the user does not specify the number of devices, only one device is taken out of each device type and put into the set to be used.
4. The method for allocating equipment in food processing production according to claim 3, wherein the step S5 is implemented by:
s51, finding out all root node tasks in the task set, arranging the root node tasks in a reverse order according to task cutting time, and then sequentially distributing equipment for all the root node tasks;
s52, searching the upper level depended task from the root node task, calculating the detailed dependence time and dependence yield of the depended task, and then distributing equipment for the depended task; then repeating the step until all tasks are distributed;
s53, judging whether the scheduling plan meets the appointed deadline, if so, if the scheduling plan meets the appointed deadline, and if the scheduling plan chooses the least occupied equipment, finishing the scheduling successfully;
if the scheduling is not completed within the specified deadline time or the scheduling type is selected to be the shortest execution time, judging which equipment is lacked according to the last scheduling result, adding one additional equipment to the lacked equipment, adding the equipment to the equipment set to be used, and performing scheduling again.
5. The method according to claim 4, wherein the assigning of the device to the root node task in step S51 satisfies the following two conditions:
A. the tasks are evenly distributed on all available devices;
B. under the condition that the time is not conflicted, the used equipment is preferentially used;
the method specifically comprises the following substeps:
s511, dividing the total demand of the tasks by the single productivity of the equipment to obtain the times of the tasks needing to be executed, and sequentially allocating equipment for the root node tasks by taking the one-time execution of one task in one equipment as the minimum granularity;
s512, in the device set of the device type, searching whether devices which are used by other tasks but occupy time of the other tasks and have no conflict with the current task exist, if so, executing a step S514, otherwise, executing a step S513;
s513, searching whether new equipment exists or not, and if so, adding the new equipment into an equipment set;
s514, searching the device with the latest starting occupation time in the device set, and judging whether the time difference between the device with the earliest starting occupation time is enough to execute the current task; if yes, go to step S516, otherwise go to step S515;
s515, checking whether a task capable of being replaced exists, if so, replacing the task and reallocating equipment for the replaced task; otherwise, the capacity of the current equipment type is insufficient;
s516, directly adding the task to the device which starts to execute the time at the latest.
6. The method as claimed in claim 5, wherein in step S515, the task replacement is implemented by: finding out the device with the same id as the current task from the used device set; if the same task is not executed in the previous equipment, searching the equipment with the largest number of executed tasks; in the found device, the task to be replaced is found: firstly, calculating the difference value from the earliest starting time of the same type of equipment to the earliest starting time of the current equipment, and subtracting the difference value by the task working hours to obtain the task working hours needing to be replaced; replacing other types of tasks occupied by the current equipment from morning to evening in sequence until the replaced task man-hour meets the required task man-hour calculated in the last step; the current task is put in a position before the replaced task, and then the replaced task is redistributed to the equipment.
7. The method for allocating equipment in food processing production according to claim 5, wherein the step S52 is implemented by:
s521, finding out all tasks depended on by the root node task through the root node task;
s522, marking each task to be depended on by which downstream tasks;
s523, calculating the dependent quantity of each time point of the downstream task;
s524, finding out the earliest starting execution time and the latest deadline of all the downstream tasks; taking the single execution man-hour of the depended task as a segment, and dividing the segment into a plurality of segments from the earliest start of execution time to the later;
s525, calculating the execution minutes of the downstream task in each time period, and then calculating the output of the downstream task per minute, thereby obtaining the output of the downstream task in each time period;
s526, multiplying the output by the dependence proportion calculated during task initialization to obtain the demand of the depended task in each time period;
s527, the depended task is divided into a plurality of subtasks, and then equipment is allocated to the subtasks.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112966976A (en) * 2021-03-31 2021-06-15 英特尔产品(成都)有限公司 Method and device for scheduling production of production facility
CN115660388A (en) * 2022-12-27 2023-01-31 大方智造(天津)科技有限公司 Earliest finished operation plan scheduling method based on process constraint

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120124585A1 (en) * 2010-11-12 2012-05-17 International Business Machines Corporation Increasing Parallel Program Performance for Irregular Memory Access Problems with Virtual Data Partitioning and Hierarchical Collectives
CN103632220A (en) * 2013-10-22 2014-03-12 沈阳建筑大学 Semiconductor packaging line bonding equipment organization method based on processing task capability matching
CN105427021A (en) * 2015-10-30 2016-03-23 江苏云道信息技术有限公司 Intelligent clothes production scheduling method
US20160306679A1 (en) * 2015-04-20 2016-10-20 International Business Machines Corporation Managing hydrocarbon energy production while proactively maintaining a balanced workload
CN110555665A (en) * 2019-08-02 2019-12-10 杉数科技(北京)有限公司 production plan generation method and device
CN111813066A (en) * 2020-07-17 2020-10-23 北京理工大学 Multi-processing robot cooperation method for hardware flexible production workshop
CN111967706A (en) * 2020-06-28 2020-11-20 浙江中控技术股份有限公司 Interaction method and device of PVC factory integrated management system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120124585A1 (en) * 2010-11-12 2012-05-17 International Business Machines Corporation Increasing Parallel Program Performance for Irregular Memory Access Problems with Virtual Data Partitioning and Hierarchical Collectives
CN103632220A (en) * 2013-10-22 2014-03-12 沈阳建筑大学 Semiconductor packaging line bonding equipment organization method based on processing task capability matching
US20160306679A1 (en) * 2015-04-20 2016-10-20 International Business Machines Corporation Managing hydrocarbon energy production while proactively maintaining a balanced workload
CN105427021A (en) * 2015-10-30 2016-03-23 江苏云道信息技术有限公司 Intelligent clothes production scheduling method
CN110555665A (en) * 2019-08-02 2019-12-10 杉数科技(北京)有限公司 production plan generation method and device
CN111967706A (en) * 2020-06-28 2020-11-20 浙江中控技术股份有限公司 Interaction method and device of PVC factory integrated management system
CN111813066A (en) * 2020-07-17 2020-10-23 北京理工大学 Multi-processing robot cooperation method for hardware flexible production workshop

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
QINGQING ZHAI: ""Reliability analysis of cold standby system with scheduled backups"", 《2015 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS)》, pages 287 *
张鲁: ""基于任务包的造船生产资源配置"", 《造船技术》, no. 5, pages 6 - 11 *
白程宇: ""订单分配与批量计划集成优化方法研究"", 《中国优秀硕士学位论文全文数据库基础科学辑》, no. 08, pages 002 - 324 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112966976A (en) * 2021-03-31 2021-06-15 英特尔产品(成都)有限公司 Method and device for scheduling production of production facility
CN115660388A (en) * 2022-12-27 2023-01-31 大方智造(天津)科技有限公司 Earliest finished operation plan scheduling method based on process constraint
CN115660388B (en) * 2022-12-27 2023-08-18 大方智造(天津)科技有限公司 Earliest finished operation plan scheduling method based on process constraint

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