DocumentCode :
3479946
Title :
An effective two-phase dynamic capacity allocation methodology for production resources
Author :
Wen-Jing Yan ; Tay-Jin Chua ; Feng-Yu Wang ; Tian-Xiang Cai ; Ming-Wei Liu
Author_Institution :
Production & Logistics Planning Group, Singapore Inst. of Manuf. Technol.
Volume :
2
fYear :
2004
fDate :
1-3 Dec. 2004
Firstpage :
855
Lastpage :
860
Abstract :
Effective utilization and management of production capacity have significant impact to the success of a manufacturing enterprise. In a complex manufacturing environment, the development of a feasible capacity allocation mechanism is a challenging task. In this paper, the issue of achieving balanced capacity allocation for effective planning of production resources was addressed in a medium- to long-term capacity planning framework. A two-phase dynamic capacity allocation methodology was developed which adopts a proportional loading method using weighted capacity and considers product and machine loading priorities and bottleneck operation constraint. The first phase of the capacity allocation process is to consume dedicated production resources while the shared production resources will be dealt with in the second phase, considering the bottleneck constraint The incorporation of actual operational constraints in the capacity planning process provides a realistic and practical solution, which enhances the enterprise´s ability to react quickly to ad-hoc customer enquiries and dynamic demand changes
Keywords :
capacity planning (manufacturing); balanced capacity allocation; bottleneck operational constraint; capacity planning framework; complex manufacturing environment; dynamic capacity allocation; production resource planning; proportional loading method; Capacity planning; Enterprise resource planning; Fixtures; Fluctuations; Logistics; Manufacturing; Production facilities; Production planning; Resource management; Technology planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
Type :
conf
DOI :
10.1109/ICCIS.2004.1460700
Filename :
1460700
Link To Document :
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