A Mathematical Model for Multiworkshop IPPS Problem in Batch Production

作者：Ba, Li^*; Li, Yan; Yang, Mingshun; Wu, Xueliang; Liu, Yong; Gao, Xinqin; Miao, Zhihong

来源：Mathematical Problems in Engineering, 2018, 2018: 7948693.

DOI：10.1155/2018/7948693

• PARTICLE SWARM OPTIMIZATION
• GENETIC ALGORITHM
• SCHEDULING PROBLEM
• INTEGRATION

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.

• 出版日期2018
• 单位西安理工大学