An approach for integration of process planning and scheduling

被引:44
作者
Phanden, Rakesh Kumar [1 ]
Jain, Ajai [1 ]
Verma, Rajiv [1 ]
机构
[1] Natl Inst Technol, Dept Mech Engn, Kurukshetra, Haryana, India
关键词
process planning; scheduling; integrated process planning and scheduling; heuristics; simulation; genetic algorithm; GENETIC ALGORITHM; CONCURRENT PROCESS; MULTIAGENT SYSTEM; PROCESS PLANS; OPTIMIZATION; FLEXIBILITY; TARDINESS;
D O I
10.1080/0951192X.2012.684721
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Process planning and scheduling are the two most important tasks in manufacturing. Traditionally, these tasks are performed separately and sequentially through process planning and scheduling departments. As functional integration is essential to realise the benefits of computer-integrated manufacturing, an approach for integration of process planning and scheduling has been introduced in this paper. The proposed approach can quickly integrate these two functions and be implemented in a company with existing process planning and scheduling departments. It consists of four main modules introduced in detail in this paper. They are process plan selection module, scheduling module, schedule analysis module and process plan modification module. The performance of the proposed integration methodology is accessed from mean tardiness and makespan viewpoints as well as compared with the hierarchical approach through case studies. It reveals that proposed integration approach performs better than hierarchical approach.
引用
收藏
页码:284 / 302
页数:19
相关论文
共 50 条
[41]   A grammatical optimization approach for integrated process planning and scheduling [J].
Adil Baykasoğlu ;
Lale Özbakır .
Journal of Intelligent Manufacturing, 2009, 20 :211-221
[42]   Boost the Integration of Planning and Scheduling: a Heuristics Approach [J].
Liu, Yuechang ;
Fanga, Yishan .
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 :3348-3352
[43]   IPSS: A hybrid approach to planning and scheduling integration [J].
Rodriguez-Moreno, Maria Dolores ;
Oddi, Angelo ;
Borrajo, Daniel ;
Cesta, Amedeo .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2006, 18 (12) :1681-1695
[44]   Improved genetic algorithm for integrated process planning and scheduling in distributed heterogeneous manufacturing environment [J].
Wen, Xiaoyu ;
Qian, Yunjie ;
Lian, Xiaonan ;
Li, Hao ;
Wang, Haoqi ;
Zhang, Yuyan .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 133
[45]   Integration of process planning and job shop scheduling with stochastic processing time [J].
Haddadzade, M. ;
Razfar, M. R. ;
Zarandi, M. H. Fazel .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 71 (1-4) :241-252
[46]   DISTRIBUTED INTEGRATION OF PROCESS PLANNING AND SCHEDULING USING AN ENHANCED GENETIC ALGORITHM [J].
Zhang, Shuai ;
Yu, Zhinan ;
Zhang, Wenyu ;
Yu, Dejian ;
Zhang, Dongping .
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2015, 11 (05) :1587-1602
[47]   Integration of process planning and scheduling using multi-agent learning [J].
Fujii, Nobutada ;
Inoue, Riku ;
Ueda, Kanji .
MANUFACTURING SYSTEMS AND TECHNOLOGIES FOR THE NEW FRONTIER, 2008, :297-+
[48]   A study on integration of process planning and scheduling system for holonic manufacturing with modification of process plans [J].
Graduate School of Engineering, Osaka Prefecture University, Gakuen-cho 1-1, Sakai, Osaka 599-8531, Japan ;
不详 ;
不详 .
Int. J. Manuf. Technol. Manage., 2008, 3-4 (359-378) :359-378
[49]   Applications of particle swarm optimisation in integrated process planning and scheduling [J].
Guo, Y. W. ;
Li, W. D. ;
Mileham, A. R. ;
Owen, G. W. .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2009, 25 (02) :280-288
[50]   An active learning genetic algorithm for integrated process planning and scheduling [J].
Li, Xinyu ;
Gao, Liang ;
Shao, Xinyu .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (08) :6683-6691