Improving the Performance of Modular Production in the Apparel Assembly : A Mathematical Programming Approach
Joint Authors
Chiu, Chun-Hung
Wang, Xiaoqing
Guo, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We construct the mathematical models to find the optimal allocation of the module’s capacity (module members) to different assembly operations in a module for given garment assembly tasks in a modular production system.
The objectives of the models are minimizing the holding cost for work in process (WIP) inventories in the module and the total deviation of the WIP inventories from their corresponding target values in the module during a specific time interval.
The solutions of the models can be used as reference to achieve better allocation of the module members to different operations in a module to fulfill the given garment assembly tasks.
American Psychological Association (APA)
Wang, Xiaoqing& Chiu, Chun-Hung& Guo, Wei. 2014. Improving the Performance of Modular Production in the Apparel Assembly : A Mathematical Programming Approach. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-474263
Modern Language Association (MLA)
Wang, Xiaoqing…[et al.]. Improving the Performance of Modular Production in the Apparel Assembly : A Mathematical Programming Approach. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-474263
American Medical Association (AMA)
Wang, Xiaoqing& Chiu, Chun-Hung& Guo, Wei. Improving the Performance of Modular Production in the Apparel Assembly : A Mathematical Programming Approach. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-474263
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474263