9 research outputs found

    Bipolar approach applied to group decision making problems

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    This paper considers group decision making problems (GDM) in bipolar context where actors provide their preferences over alternatives through positive and negative attributes. A soft consensus model based on distance between evaluations is proposed to narrow the differences between decision makers and to ensure convergence of individual preferences towards group preferences. A feedback mechanism defined by the identification and consensus phases is introduced to reach a consensus. For a group with interactive relationships, the potential reciprocal influence of decision makers is considered using concordance and discordance measures

    A Structured Methodology to Implement Performance Measurement Systems in Collaborative Networks

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    [EN] Collaboration is one of the most commonly used strategies in the business environment. Enterprises that collaborate need reliable and efficient performance information. However, many collaborative enterprises fail to implement a common performance measurement system in an adequate manner due to the lack of sound mechanisms that connect all the elements within a performance measurement system. The purpose of this paper is to provide a methodology based on a multi-criteria decision method that aids to implement the different elements that compose a performance measurement system for collaborative networks. With this methodology enterprises have a tool to define all the aspects involved in the performance measurement system and to implement it. This approach has been applied to a collaborative enterprise network belonging to the automotive sector.Verdecho SĂĄez, MJ.; RodrĂ­guez RodrĂ­guez, R.; Alfaro Saiz, JJ. (2011). A structured methodology to implement performance measurement systems in collaborative networks. IFIP Advances in Information and Communication Technology. 362:151-158. doi:10.1007/978-3-642-23330-2_17S151158362Anthony, T.: Supply chain collaboration: success in the new internet economy (online). ASCET, http://anthony.ASCET.comBowersox, D.J., Closs, D.J., Stank, T.P.: How to master cross-enterprise collaboration. Supply Chain Management Review 7(4), 18–27 (2003)Brewer, P.C., Speh, T.W.: Using the Balanced ScoreCard to measure supply chain performance. Journal of Business Logistics 21(1), 75–93 (2000)Bititci, U.S., Mendibil, K., Martinez, V., Albores, P.: Measuring and managing performance in extended enterprises. Intern. J. of Operations & Production Management 25(4), 333–353 (2005)Folan, P., Browne, J.: Development of an Extended Enterprise Performance Measurement System. 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International Journal of Operations & Production Management 20(1), 70–84 (2000)Ghodsypour, S.H., O’Brien, C.: A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics 56-57, 199–212 (1998)Bhagwat, R., Sharma, M.K.: Performance measurement of supply chain management using the analytical hierarchy process. Production Planning & Control 18(8), 666–680 (2007)Lee, A.H.I., Chen, W.C., Chang, C.: A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications 34(1), 96–107 (2008)Cebeci, U.: Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications 36, 8900–8909 (2009

    Supplier Value of Customer-Initiated Product Development:An In-Depth Case Study of a European Industrial Mass-Producer

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    Part 2: Sustainable Supply ChainsInternational audienceIncreased market demand and shortened product life cycles generate industrial customer requests for collaborative product development. Manufacture-to-stock suppliers struggle to manage the request process to obtain profitability. The purpose of this paper is to investigate if request management is profitable for mass-producing suppliers, and to examine possible relations between profitability of requests and the requesting customer. Through a case study, request management is identified as a profitable process due to long-term accumulated profit from developed products. Request profitability is not identified as related to profitability or turnover of existing customers, and thus profitability of requests cannot be predicted based on these customer data. Results from a coupled interview study indicate that request management has a large potential for future exploitation, and an outline of the supplier value potential of collaborative product development is proposed

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