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

Modelling uncertainty under a multi‐echelon ERP‐controlled manufacturing system 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Manufacturing Technology Management Emerald Publishing

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

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References (25)

Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
1741-038X
DOI
10.1108/17410380410523470
Publisher site
See Article on Publisher Site

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.

Journal

Journal of Manufacturing Technology Management – Emerald Publishing

Published: Apr 1, 2004

Keywords: Manufacturing resource planning; Modelling; Manufacturing systems; Simulation

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