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Modelling uncertainty under a multi‐echelon ERP‐controlled manufacturing system

Siau Ching Lenny Koh (Lecturer, Management School, University of Sheffield, Sheffield, UK)
Sameh Saad (Senior Lecturer, School of Engineering, Sheffield Hallam University, Sheffield, UK.)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 1 April 2004

1230

Abstract

This paper discusses the experimental work in modelling uncertainty under a multi‐echelon enterprise resource planning (ERP)‐controlled manufacturing system. A new method known as part tagging (Ptag) is successfully implemented in a material requirements planning (MRP) planning architecture, which is used to generate a planned order release (POR) schedule for controlling purchase and manufacture operations in a batch manufacturing system using simulation. One of the most important findings is that parts tardy delivery (PTD) is a more responsive performance measure compared with finished products tardy delivery (FPTD); therefore it is recommended that PTD should be measured to reveal the unmasked effects of uncertainty. The main conclusion and implication from this experiment are that an ERP‐controlled manufacturing enterprise should diagnose for uncertainty in a way that produces significant effects on delivery tardiness, so that reduction of their levels will significantly minimise tardy delivery.

Keywords

Citation

Ching Lenny Koh, S. and Saad, S. (2004), "Modelling uncertainty under a multi‐echelon ERP‐controlled manufacturing system", Journal of Manufacturing Technology Management, Vol. 15 No. 3, pp. 239-253. https://doi.org/10.1108/17410380410523470

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited

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