Research Output per year
Service supply chain (SSC) has attracted more and more attention from academia and industry. Although there exists extensive product-based supply chain management models and methods, they are not applicable to the SSC as the differences between service and product. Besides, the existing supply chain management models and methods possess some common deficiencies. Because of the above reasons, this paper develops a novel value-oriented model for the management of SSC using the modeling methods of E3-value and Use Case Maps (UCMs). This model can not only resolve the problems of applicability and effectiveness of the existing supply chain management models and methods, but also answer the questions of ‘why the management model is this?’ and ‘how to quantify the potential profitability of the supply chains?’. Meanwhile, the service business processes of SSC system can be established using its logic procedure. In addition, the model can also determine the value and benefits distribution of the entire service value chain and optimize the operations management performance of the service supply.
|Title of host publication||IEEM2010: the IEEE International Conference on Industrial Engineering and Engineering Management|
|Number of pages||5|
|Publication status||Published - 2010|
|Event||IEEE International Conference on Industrial Engineering and Engineering Management - Macao, China|
Duration: 7 Dec 2010 → 10 Dec 2010
|Name||IEEE Conference Publications|
|Conference||IEEE International Conference on Industrial Engineering and Engineering Management|
|Period||7/12/10 → 10/12/10|
2010, IEEM2010: the IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, p. 119-126 8 p. (IEEE Conference Publications).
Research output: Chapter in Book/Report/Conference proceeding › Conference publication
He, T., Ho, W., & Xu, X. F. (2010). A value-oriented model for managing service supply chains. In IEEM2010: the IEEE International Conference on Industrial Engineering and Engineering Management (pp. 193-197). (IEEE Conference Publications). IEEE. https://doi.org/10.1109/IEEM.2010.5674452