A Mathematical Model for Multiworkshop IPPS Problem in Batch Production
Joint Authors
Liu, Yong
Yang, Mingshun
Ba, Li
Gao, Xinqin
Wu, Xueliang
Miao, Zhihong
Li, Yan
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-20
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Integrated Process Planning and Scheduling (IPPS) problem is an important issue in production scheduling.
Actually, there exit many factors affecting scheduling results.
Many types of workpieces are commonly manufactured in batch production.
Moreover, due to differences among process methods, all processes of a workpiece may not be performed in the same workshop or even in the same factory.
For making IPPS problem more in line with practical manufacturing, this paper addresses an IPPS problem with batches and limited vehicles (BV-IPPS).
An equal batch splitting strategy is adopted.
A model for BV-IPPS problem is established.
Makespan is the objective to be minimized.
For solving the complex problem, a particle swarm optimization (PSO) with a multilayer encoding structure is proposed.
Each module of the algorithm is designed.
Finally, case studies have been conducted to validate the model and algorithm.
American Psychological Association (APA)
Ba, Li& Li, Yan& Yang, Mingshun& Wu, Xueliang& Liu, Yong& Gao, Xinqin…[et al.]. 2018. A Mathematical Model for Multiworkshop IPPS Problem in Batch Production. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1209074
Modern Language Association (MLA)
Ba, Li…[et al.]. A Mathematical Model for Multiworkshop IPPS Problem in Batch Production. Mathematical Problems in Engineering No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1209074
American Medical Association (AMA)
Ba, Li& Li, Yan& Yang, Mingshun& Wu, Xueliang& Liu, Yong& Gao, Xinqin…[et al.]. A Mathematical Model for Multiworkshop IPPS Problem in Batch Production. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1209074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209074