A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route

For the scheduling problem of complex products in multi-workshop production, this paper studied the BOM (Bill of Materials) structure of complex products and the characteristics of the process route and developed the construction method of a multi-level process network diagram. Based on this, a comp...

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Main Authors: Lihong Qiao, Zhenwei Zhang, Zhicheng Huang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
BOM
Online Access:https://www.mdpi.com/2076-3417/11/11/5078
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spelling doaj-5bdb27cb06c84f84bfc9be9f6fdaf9da2021-06-01T01:41:49ZengMDPI AGApplied Sciences2076-34172021-05-01115078507810.3390/app11115078A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process RouteLihong Qiao0Zhenwei Zhang1Zhicheng Huang2School of Mechanical Engineering and Automation, Beihang University, Beijing 100083, ChinaSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, ChinaSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, ChinaFor the scheduling problem of complex products in multi-workshop production, this paper studied the BOM (Bill of Materials) structure of complex products and the characteristics of the process route and developed the construction method of a multi-level process network diagram. Based on this, a comprehensive mathematical model for scheduling on multi-workshop production was proposed. An improved particle swarm algorithm (PSO) was proposed to solve the problem. By constructing the network subgraph, the invalid search path of the algorithm was avoided, and the efficiency of the algorithm was improved. In addition, for the scheduling problem with product time constraints, this paper presented a path search rescheduling strategy to ensure that the algorithm could obtain an effective search path. Finally, the model and algorithm were verified through a case study. This paper optimized the parameters of the algorithm by different tests and obtained the optimal range of the parameters. At the same time, through the analysis of the scheduling of complex products in a multi-workshop environment, the effectiveness and practicability of the above methods were verified.https://www.mdpi.com/2076-3417/11/11/5078scheduling algorithmmulti-workshop productioncomplex productsBOMprocess network diagram
collection DOAJ
language English
format Article
sources DOAJ
author Lihong Qiao
Zhenwei Zhang
Zhicheng Huang
spellingShingle Lihong Qiao
Zhenwei Zhang
Zhicheng Huang
A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route
Applied Sciences
scheduling algorithm
multi-workshop production
complex products
BOM
process network diagram
author_facet Lihong Qiao
Zhenwei Zhang
Zhicheng Huang
author_sort Lihong Qiao
title A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route
title_short A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route
title_full A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route
title_fullStr A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route
title_full_unstemmed A Scheduling Algorithm for Multi-Workshop Production Based on BOM and Process Route
title_sort scheduling algorithm for multi-workshop production based on bom and process route
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-05-01
description For the scheduling problem of complex products in multi-workshop production, this paper studied the BOM (Bill of Materials) structure of complex products and the characteristics of the process route and developed the construction method of a multi-level process network diagram. Based on this, a comprehensive mathematical model for scheduling on multi-workshop production was proposed. An improved particle swarm algorithm (PSO) was proposed to solve the problem. By constructing the network subgraph, the invalid search path of the algorithm was avoided, and the efficiency of the algorithm was improved. In addition, for the scheduling problem with product time constraints, this paper presented a path search rescheduling strategy to ensure that the algorithm could obtain an effective search path. Finally, the model and algorithm were verified through a case study. This paper optimized the parameters of the algorithm by different tests and obtained the optimal range of the parameters. At the same time, through the analysis of the scheduling of complex products in a multi-workshop environment, the effectiveness and practicability of the above methods were verified.
topic scheduling algorithm
multi-workshop production
complex products
BOM
process network diagram
url https://www.mdpi.com/2076-3417/11/11/5078
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