A model and a performance measurement system for collaborative supply chains

This paper shows how the constituents, key parameters and performance indicators are modelled into the environment and through a case study illustrates how the decision support environment may be used to improve the performance of a collaborative supply chain by pinpointing areas for improvement.

Abstract

Modeling the constituents of a collaborative supply chain, the key parameters they influence, and the appropriate performance measures in a decision support environment enables prior understanding of the impact on the performance of a collaborative supply chain as a result of changes in the constituents and key parameters. In turn, this allows pinpointing of those areas where the actual supply chain can be improved and hence manage the chain's performance. This paper shows how the constituents, key parameters and performance indicators are modelled into the environment and through a case study illustrates how the decision support environment may be used to improve the performance of a collaborative supply chain by pinpointing areas for improvement.