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Measuring uncertainties in MRP environments

Measuring uncertainties in MRP environments Many uncertainties in Material Requirements Planning (MRP) systems are treated as “controllable” elements, with a variety of buffering, dampening and other approaches being used to cope with them. However, such approaches are often found wanting, forcing enterprises into emergency measures to ensure delivery performance. Based upon the results of a questionnaire survey, this paper analyses the uncertainties in the aggregate, intermediate and operational levels that affect customer delivery performance in MRP environments. These uncertainties have been quantified and the relative importance to performance has been investigated. The results also show the widespread use of buffering, dampening and other approaches to provide a level of delivery reliability. It is contended that by concentrating on minimising the effects of the uncertainties, the underlying causes have not been addressed, resulting in sub‐optimisation of system performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Logistics Information Management Emerald Publishing

Measuring uncertainties in MRP environments

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References (31)

Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0957-6053
DOI
10.1108/09576050010326574
Publisher site
See Article on Publisher Site

Abstract

Many uncertainties in Material Requirements Planning (MRP) systems are treated as “controllable” elements, with a variety of buffering, dampening and other approaches being used to cope with them. However, such approaches are often found wanting, forcing enterprises into emergency measures to ensure delivery performance. Based upon the results of a questionnaire survey, this paper analyses the uncertainties in the aggregate, intermediate and operational levels that affect customer delivery performance in MRP environments. These uncertainties have been quantified and the relative importance to performance has been investigated. The results also show the widespread use of buffering, dampening and other approaches to provide a level of delivery reliability. It is contended that by concentrating on minimising the effects of the uncertainties, the underlying causes have not been addressed, resulting in sub‐optimisation of system performance.

Journal

Logistics Information ManagementEmerald Publishing

Published: Jun 1, 2000

Keywords: MRP; Uncertainty; Delivery performance

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