A multi-site supply network planning problem considering variable time buckets - A TFT-LCD industry case

被引:37
作者
Lin, James T. [1 ]
Chen, Yin-Yann [1 ]
机构
[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 300, Taiwan
关键词
multi-site; production chain; production planning; scheduling; TFT-LCD;
D O I
10.1007/s00170-006-0537-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the increase in the variety of demands from downstream customers, companies are required to expand their production capacity by way of adding more plants. Many enterprises encounter difficulties in production planning because manufacturing environments have changed from traditional single-plant to current multiplants. Therefore, the production planners must develop an integrated multi-site planning approach to coordinate all production resources of multiple plants within the enterprise. As the company may possess many manufacturing plants that are located in different places geographically, the planners will face production allocation problems in the multi-site environment. The decisions may involve the manufacturing routings of demand products and production quantities among multi-plants. As a result, a monolithic model of the multi-stage and multi-site production planning problem is proposed in this paper. The contribution of this planning model is to combine two different time scales, i.e., monthly and daily time buckets. In addition, we also consider other practical planning characteristics and constraints. For example, production transformation functions, capacity consumption constraints, materials supplying constraints, inventory balancing equations and so on. Through optimization procedures, the information on production and procurement in the multi-plant network is derived. Besides, an example from a thin film transistor- liquid crystal display (TFT-LCD) manufacturer case in Taiwan is illustrated for explaining the monolithic planning model.
引用
收藏
页码:1031 / 1044
页数:14
相关论文
共 17 条
[1]   An algorithm for production planning in a flexible production system [J].
Al-Fawzan, MA .
COMPUTERS & INDUSTRIAL ENGINEERING, 2005, 48 (04) :681-691
[2]   A memetic algorithm for a multistage capacitated lot-sizing problem [J].
Berretta, R ;
Rodrigues, LF .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2004, 87 (01) :67-81
[3]   MODELS FOR MULTIPLANT COORDINATION [J].
BHATNAGAR, R ;
CHANDRA, P ;
GOYAL, SK .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1993, 67 (02) :141-160
[4]  
BILLINGTON PJ, 1989, 8908A ER U ROTT
[5]   Single item lot sizing problems [J].
Brahimi, N ;
Dauzere-Peres, S ;
Najid, NM ;
Nordli, A .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 168 (01) :1-16
[6]  
Harland C., 1997, Integrated Manufacturing Systems, V8, P70, DOI 10.1108/09576069710165756
[7]  
Lin J. T., 2004, International Journal of Electronic Business Management, V2, P59
[8]   Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain [J].
Moon, C ;
Kim, J ;
Hur, S .
COMPUTERS & INDUSTRIAL ENGINEERING, 2002, 43 (1-2) :331-349
[9]  
Özdamar L, 2000, IIE TRANS, V32, P1043
[10]   Hybrid heuristics for the capacitated lot sizing and loading problem with setup times and overtime decisions [J].
Ozdamar, L ;
Birbil, SI .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 110 (03) :525-547