A multi-stage stochastic programming approach in master production scheduling

Master Production Schedules (MPS) are widely used in industry, especially within Enterprise Resource Planning (ERP) software. The classical approach for generating MPS assumes infinite capacity, fixed processing times, and a single scenario for demand forecasts. In this paper, we question these assu...

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Bibliographic Details
Published in:	European journal of operational research Vol. 213; no. 1; pp. 166 - 179
Main Authors:	Körpeoğlu, Ersin, Yaman, Hande, Selim Aktürk, M.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.08.2011 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Computation Computer science; control theory; systems Control system analysis Control theory. Systems Controllable processing times Demand Enterprise resource planning Exact sciences and technology Firm modelling Flexible manufacturing Heuristic Inventory control, production control. Distribution Marketing Master production scheduling Mathematical programming Operational research Operational research and scientific management Operational research. Management science Production scheduling Programming Stability Stochastic models Stochastic programming Stochastic programming Master production scheduling Flexible manufacturing Controllable processing times Stochasticity Studies Master production scheduling Controllable processing times Stochastic programming Flexible manufacturing Script Processing time Master production schedule Stochastic method Integrated management Production management Flexible manufacturing system Heuristic method Controllability Profit Capacity constraint Firm management Production capacity Resource management Execution time
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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