Since the early 1970s, production planning systems have evolved from material requirements planning (MRP) through manufacturing resource planning (MRPII) into enterprise resource planning (ERP) with simultaneous development of related control systems such as theory of constraints (epitomised by OPT), just‐in‐time (JIT), etc. One key area for all manufacturing companies is the planning and control function. There is a wide range of generic proprietary software available that aims to meet a company’s planning and scheduling requirements. The difficulty experienced by many companies is not only in examining available software, but also in understanding the match between business needs and the capabilities of that software. This paper first sets out some common manufacturing classification systems, then attempts to map them against accepted paradigms for production planning and control approaches. Analysis confirms the need for a more rigorous approach to software selection, and the need for a complete understanding of the drivers of the production control process before this can be achieved. The paper goes on to discuss a method for mapping these drivers, with the aim being to create a series of reference models for production planning and scheduling.
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1 August 1999
This article was originally published in
Integrated Manufacturing Systems
Research Article|
August 01 1999
Manufacturing classifications: relationships with production control systems
Keith Porter;
Keith Porter
Liverpool John Moores University, Liverpool, UK
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David Little;
David Little
University of Huddersfield, Huddersfield, UK
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Matthew Peck;
Matthew Peck
University of Huddersfield, Huddersfield, UK
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Ralph Rollins
Ralph Rollins
University of Huddersfield, Huddersfield, UK
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Publisher: Emerald Publishing
Online ISSN: 1758-583X
Print ISSN: 0957-6061
© MCB UP Limited
1999
Integrated Manufacturing Systems (1999) 10 (4): 189–199.
Citation
Porter K, Little D, Peck M, Rollins R (1999), "Manufacturing classifications: relationships with production control systems". Integrated Manufacturing Systems, Vol. 10 No. 4 pp. 189–199, doi: https://doi.org/10.1108/09576069910280431
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