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Master Production Scheduling for a Process Industry Environment: A Case Study

Ray Venkataraman (De Paul University, Chicago, Illinois, USA)
Jay Nathan (St John′s University, Jamaica, New York, USA)

International Journal of Operations & Production Management

ISSN: 0144-3577

Article publication date: 1 October 1994

2377

Abstract

Previous research has not addressed the problem of developing a master production schedule (MPS) for production systems with minimum batch‐size production restrictions. Proposes a weighted integer goal‐programming model for the development of a rolling horizon master production schedule, under conditions of demand certainty, for a process industry environment with multiple production lines and minimum batch‐size production restrictions. The presence of multiple and often conflicting goals prevalent in production planning and scheduling is explicitly incorporated in the model. The model can easily be implemented on a microcomputer and the master production schedule developed is in spreadsheet format and can easily be understood by a practitioner. Uses a case study conducted for a paint company to illustrate and validate the model. Results show that the MPS developed using the proposed model is superior in terms of total cost when compared with actual company performance.

Keywords

Citation

Venkataraman, R. and Nathan, J. (1994), "Master Production Scheduling for a Process Industry Environment: A Case Study", International Journal of Operations & Production Management, Vol. 14 No. 10, pp. 44-53. https://doi.org/10.1108/01443579410067243

Publisher

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MCB UP Ltd

Copyright © 1994, MCB UP Limited

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