Title
A capacity allocation and expansion model for TFT-LCD multi-site manufacturing
Abstract
This paper presents a capacity allocation and expansion problem of thin film transistor liquid crystal display (TFT-LCD) manufacturing in a multi-site environment. Capacity allocation and expansion decisions have become more challenging issues because of the following: (1) complex product hierarchy caused by a wide range of product types and applications, (2) coexistence of multiple generations of manufacturing technologies in the multi-stage production network, and (3) rapidly growing and changing market demands due to the replacement of the traditional cathode ray tube. Since the Array stage is the bottleneck of this production network, our research objective is to simultaneously seek an optimal capacity allocation plan and capacity expansion policy under single-stage, multi-generation, and multi-site structures. Capacity allocation determines the profitable product mixes and allocated production quantities for each product group at each production site. Capacity expansion determines timing, types, and sizes of capacity investments, especially in the acquisition of auxiliary tools. This study proposes a mixed integer linear programming to formulate the whole model of capacity allocation and expansion, which considers the practical characteristics and constraints of TFT-LCD manufacturing. Finally, an industrial case study modified from a Taiwanese TFT-LCD manufacturer is illustrated and a sensitivity analysis of some influential parameters is also addressed.
Year
DOI
Venue
2013
10.1007/s10845-012-0634-9
J. Intelligent Manufacturing
Keywords
Field
DocType
TFT-LCD manufacturing,Capacity allocation,Capacity expansion,Mixed integer linear programming
Bottleneck,Mathematical optimization,Thin-film transistor,Product type,Cathode ray tube,Integer programming,Liquid-crystal display,Engineering,Hierarchy,Thin-film-transistor liquid-crystal display
Journal
Volume
Issue
ISSN
24
4
0956-5515
Citations 
PageRank 
References 
6
0.48
14
Authors
3
Name
Order
Citations
PageRank
Tzu-Li Chen1217.01
Yin-Yann Chen2253.28
Hao-Chun Lu3555.62