Authors : M. Sarana and R. J. Mason
The notion that supply chains compete with supply chains is encouraging companies to manage their entire supply chain so that optimum levels of efficiency and effectiveness can be realized for the successful running of business operations. In line with this concept, all the players within the supply chain must work together to ensure the achievement of this. Therefore, supply chain efficiency and collaborative working appear to be positively correlated. However, whilst this may be the case, companies need to be able to measure the performance of collaboration in the supply chain. Collaboration between companies may occur in many forms such as integrated manufacturing processes, integrated distribution processes and information sharing processes. Do we measure the performance based on these processes or the supply chain as a whole? This paper presents a literature review of research in this area focusing on the alignment of collaboration and the importance of integrated performance measurement, supported by case study examples. It argues that where there is a misalignment of measures, even in a minor way, this can undermine trust and mutual understanding vital to the sustainability of an integrated collaborative approach.
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| Attachment | Size |
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| IPROMSpresentation.ppt | 1.04 MB |
| PID194403.pdf | 48.45 KB |

As a co-chairman of this session, I would like to congratulate your well written paper which highlighted the mismatch of performance measure within the supply networks and the need to have a common effective performance measures. You also raised the issues of resource allocation in managing the performance measures within a supply network. However, I hope you can clarify further with the steel supply chain about the 20% difference. Were you measuring the differences in performance measure and found the 20% differences by just looking at the values in target? In my opinion, in time and on time is different i.e. one is delivered within a certain period of time and the other delivered on specific date or time (due difference in target of interest). There should be differences in the values. If you are measuring the differences in performance measure, I would appreciate very much if you would elaborate slightly on the approach in determining the 20% and any further investigation of the source that caused this 20% i.e. is the 20% difference solely due to the difference in performance measurement?
Thank you.