DocumentCode :
427873
Title :
Decision support system for planning and scheduling in batch-wise plants
Author :
Venvater-Lukszo, Z. ; Roeterink, Huub J H
Author_Institution :
Fac. on Technol., Policy & Manage., Delft Univ. of Technol., Netherlands
Volume :
2
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
1516
Abstract :
The process industry has to cope with a rigorous competition caused by more short-term dynamics in supply, more unpredictable and turbulent demand patterns, stronger requirements on product variety, delivery lead-time and quality of product. It forces company to spend efforts at improving its competitiveness and productivity. Appropriate strategies or action in the area of production planning and scheduling can contribute to survive in these conditions. The paper describes an effective performance measurement system for supporting planning and scheduling decision making in batch-wise plants contributing to the improvement of company´s competitiveness and productivity. To assess possible improvement options with respect to the selected evaluation parameters a generic system dynamics model of an internal supply chain in a batch-wise company is developed. The model applied to a specific industrial plant in the food sector results in a recommendation to reduce inventory level and to increase effective capacity utilization in the plant.
Keywords :
batch production systems; decision support systems; industrial plants; production control; production planning; supply chains; batch-wise company; batch-wise plants; decision support system; delivery lead-time; generic system dynamics model; internal supply chain; process industry; product quality; production planning; production scheduling; turbulent demand pattern; Decision making; Decision support systems; Defense industry; Job shop scheduling; Manufacturing industries; Manufacturing processes; Optimal scheduling; Production; Productivity; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1399846
Filename :
1399846
Link To Document :
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