\`x^2+y_1+z_12^34\`
Advanced Search
Article Contents
Article Contents

An integrated approach for selection of service vendors in service supply chain

Abstract Related Papers Cited by
  • We explore the basic conceptual framework to imagine service supply chain that is a new research concern in supply chain management, and develop an integrated approach to optimize the selection of service vendors. Three insights arise on how service vendors can be obtained: (1) exploring multiple criteria decision-making problems with incomplete weight information; (2) identifying and eliminating criteria by information entropy method; (3) analyzing and calculating the final selection of qualified service vendors through a combining way between the fuzzy analytic hierarchy process and the multi-objective linear programming approach. Finally, an experiment implemented highlights effectiveness of the integrated approach.
    Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

    Citation:

    \begin{equation} \\ \end{equation}
  • [1]

    G. Allon and A. Federgruen, Competition in service industries with segmented markets, Management Science, 55 (2003), 619-634.doi: 10.1287/mnsc.1080.0946.

    [2]

    S. H. Amin, J. Razmi and G. ZhangSupplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming, Expert Systems with Applications, in press.

    [3]

    E. G. Anderson and D. J. Morrice, A simulation game for service-oriented supply chain management, Production and Operations Management, (2000), 40-45.

    [4]

    L. Berry, V. Shankar and J. Parish, Creating new markets through service innovation, MIT Sloan Management Review, 47 (2006), 56-63.

    [5]

    N. Bhuiyan, E. Shuiabi and V. Thomson, Entropy as a measure of operational flexibility, European Journal of Operational Research, 165 (2005), 696-707.

    [6]

    O. Cakir, On the order of the preference intensities in fuzzy AHP, Computers and Industrial Engineering, 54 (2008), 993-1005.doi: 10.1016/j.cie.2007.11.010.

    [7]

    X. Chao, L. Liu and S. Zheng, Resource allocation in multisite service systems with interstice customer flows, Management Science, 49 (2003), 1739-1752.

    [8]

    R. B. Chase, The mall is my factory: Lessons from a service junkie, Production and Operation Management, 5 (1996), 298-308.doi: 10.1111/j.1937-5956.1996.tb00402.x.

    [9]

    S. S. Chauhdry, F. G. Forst and J. L. Zydiak, Vendor selection with price breaks, European Journal of Operational Research, 70 (1993), 52-66.doi: 10.1016/0377-2217(93)90232-C.

    [10]

    I. J. Chen and A. Paulraj, Understanding supply chain management: Critical research and a theoretical framework, International Journal of Production Research, 42 (2004), 131-163.

    [11]

    L. H. Chen and H. W. Lu, An approximate approach for ranking fuzzy numbers based on left and right dominance, An International Journal of Computers and Mathematics with Applications, 41 (2001), 1589-1602.

    [12]

    C. H. Cheng, Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function, European Journal of Operational Research, 96 (1996), 343-350.

    [13]

    S. J. Cook, Kathy DeBree and Amie Feroleto, From raw materials to customers: Supply chain management in the service industry, SAM Advanced Management Journal, 66 (2002), 14-19.

    [14]

    K. L. Croxton, S. J. Garcia-Dastugue, D. M. Lambert and D. L. Rogers, The supply chain management process, International Journal of Logistics Management, 12 (2001), 13-36.

    [15]

    Z. Dagraeve and F. Roodhooft, A mathematical programming approach for procurement using activity based costing, Journal of Business Finance and Accounting, 27 (2000), 69-98.

    [16]

    H. Dernirkan and H. K. Cheng, The risk and information sharing of application services supply chain, European Journal of Operational Research, 187 (2008), 765-784.

    [17]

    D. de Waart and S. Kemper, 5 steps to service supply chain excellence, Supply Chain Management Review, 8 (2004), 28-35.

    [18]

    L. M. Ellram, W. L. Tate and C. Billington, Understanding and managing the service supply chain, Journal of Supply Chain Management, (2004), 17-32.

    [19]

    J. R. Figueira, A. Liefooghe, E. G. Talbi and A. P. Wierzbicki, A parallel multiple reference point approach for multi-objective optimization, European Journal of Operational Research, 205 (2010), 390-400.

    [20]

    G. Friezlle and J. Efstathiou, "Seminar Notes on 'Measuring Complex Systems,'" London School of Economics, 2002.

    [21]

    G. Galante, G. Aiello, M. Enea and E. Panascia, A parallel multiple reference point approach for multi-objective optimization, Waste Management, 30 (2010), 1720-1728.

    [22]

    M. X. He and P. E. Ricci, Information entropy of orthogonal polynomials, Orthogonal Systems and Applications, Applied Mathematics and Computation, 128 (2002), 261-274.doi: 10.1016/S0096-3003(01)00075-3.

    [23]

    S. Jharkharia and R. Shank, Selection of logistics service provider: An analytic network process (ANP) approach, International Journal of Management Science, 35 (2007), 274-289.

    [24]

    R. Johnston, Service operations management: Return to roots, International Journal of Operations and Production Management, 19 (1999), 104-124.doi: 10.1108/01443579910247383.

    [25]

    H. Y. Kang and A. H. I. Lee, Priority mix planning for semiconductor fabrication by fuzzy AHP ranking, Expert Systems with Applications, 32 (2007), 560-570.

    [26]

    A. Kaufmann and M. M. Gupta, "Introduction to Fuzzy Arithmetic," Theory and Applications, Van Nostrand Reinhold Co., New York, 1991.

    [27]

    M. Kumar, P. Vart and P. Shankar, A fuzzy goal programming approach for supplier selection problem in a supply chain, Computer and Industrial Engineering, 46 (2004), 69-85.

    [28]

    S. Lai, G. Mayer-Kress, J. J. Sosnoff and K. M. Newell, Information entropy analysis of discrete aiming movements, Acta Psychological, 119 (2005), 283-304.

    [29]

    H. Lee and C. Billington, The evolution of supply-chain management models and practice at Hewlett-Packard, Interfaces, 25 (1995), 42-63.

    [30]

    D. Li, Linear programming method for MADM with interval-valued intuitionist fuzzy sets, Expert Systems with Applications, 37 (2010), 5939-5945.doi: 10.1016/j.eswa.2010.02.011.

    [31]

    A. Ojha, B. Das, S. Mondal and M. Maiti, A stochastic discounted multi-objective solid transportation problem for breakable items using analytical hierarchy process, Applied Mathematical Modeling, 34 (2010), 2256-2271.

    [32]

    L. Peng, Z. Tong and Q. Li, "An Analysis of the Third Party Payment System Based on Service Supply Chain," IEEE IRI 2009, Las Vegas, Nevada, USA, 2009.

    [33]

    P. J. M. van Laarhoven and W. Pedrycz, A fuzzy extension of Saaty's priority theory, Fuzzy Sets and Systems, 11 (1983), 229-241.

    [34]

    H. Rommelfanger, Interactive decision making in fuzzy linear optimization problems, European Journal of Operational Research, 41 (1989), 210-217.doi: 10.1016/0377-2217(89)90386-X.

    [35]

    E. C. Rosenthal and J. L. Zydiac, Vendor selection with bundling, Decision Sciences, 26 (1995), 35-48.doi: 10.1111/j.1540-5915.1995.tb00836.x.

    [36]

    A. V. Roth and L. J. Menor, Insights into service operations management: A research agenda, Production and Operations Management, 12 (2003), 145-164.doi: 10.1111/j.1937-5956.2003.tb00498.x.

    [37]

    T. L. Saaty, A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 42 (1977), 241-266.

    [38]

    T. L. Saaty, Response to holder's comments on the Analytic Hierarchy Process, Journal of the Operational Research Society, 42 (1991), 909-914.

    [39]

    T. L. Saaty, "Multi-Criteria Decision Making: The Analytic Hierarchy Process," 2nd edition, RSW Pub. Pittsburgh, New York, 1990.

    [40]

    M. Saleh, Estimating market shares in each market segment using the information entropy concept, Applied Mathematics and Computation, 190 (2007), 1735-1739.

    [41]

    C. E. Shannon, A Mathematical Theory of Communication, The Bell System Technical Journal, 27 (1948), 379-423, 623-656.

    [42]

    N. Slack, M. Lewis and H. Bates, The two worlds of operations research and practice: Can They meet, should they meet?, International Journal of Operations and Production Management, 24 (2004), 374-387.

    [43]

    J. Spohrer, L. C. Anderson, N. J. Pass, T. Ager and D. Gruhl, Service science, Journal of Grid Computing, 6 (2008), 313-324.doi: 10.1007/s10723-007-9096-2.

    [44]

    G. Wang, S. H. Hang and J. P. Dismukes, Product-driven supply chain selection using integrated multi-criteria decision making methodology, International Journal of Production Economics, 91 (2004), 1-15.

    [45]

    T. C. Wang and Y. H. Chen, Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP, Fuzzy Sets and Systems, 178 (2008), 3755-3765.

    [46]

    C. A. Weber and J. R. Current, A multi-objective approach to provider selection, European Journal of Operational Research, 68 (2003), 173-184.doi: 10.1016/0377-2217(93)90301-3.

    [47]

    G. Vaidyanathan, A framework for evaluating third-party logistics, Communications of the ACM, 48 (2005), 89-94.doi: 10.1145/1039539.1039544.

    [48]

    S. L. Vargo and R. F. Lusch, The four service marketing myths: Remnants of a goods-based, manufacturing model, Journal of Service Research, 6 (2004), 324-335.

    [49]

    L. Vidal, E. Sahin, N. Martelli, M. Berhoune and B. BonanApplying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit, Expert System with Application, in press.

  • 加载中
SHARE

Article Metrics

HTML views() PDF downloads(239) Cited by(0)

Access History

Other Articles By Authors

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return