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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4993

Title: Collaborative supply chain modelling and performance measurement
Authors: Angerhofer, Bernhard J
Advisors: Angelides, MC
Keywords: Decision support environment
Verification testing
Validation testing
Publication Date: 2002
Publisher: Brunel University, School of Information Systems, Computing and Mathematics
Abstract: For many years, supply chain research focused on operational aspects and therefore mainly on the optimisation of parts of the production and distribution processes. Recently, there has been an increasing interest in supply chain management and collaboration between supply chain partners. However, there is no model that takes into consideration all aspects required to adequately represent and measure the performance of a collaborative supply chain. This thesis proposes a model of a collaborative supply chain, consisting of six constituents, all of which are required in order to provide a complete picture of such a collaborative supply chain. In conjunction with that, a collaborative supply chain performance indicator is developed. It is based on three types of measures to allow the adequate measurement of collaborative supply chain performance. The proposed model of a collaborative supply chain and the collaborative supply chain performance indicator are implemented as a computer simulation. This is done in the form of a decision support environment, whose purpose is to show how changes in any of the six constituents affect collaborative supply chain performance. The decision support environment is configured and populated with information and data obtained in a case study. Verification and validation testing in three different scenarios demonstrate that the decision support environment adequately fulfils it purpose.
Description: This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 11/12/2002.
URI: http://bura.brunel.ac.uk/handle/2438/4993
Appears in Collections:Computer Science
Dept of Computer Science Theses

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