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Development of an Approach for Analyzing Supply Chain Complexity

Author

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  • Blecker, Thorsten
  • Kersten, Wolfgang
  • Meyer, Christian

Abstract

Supply chains are faced with a rising complexity of products, structures, and processes. Because of the strong link between a supply chain’s complexity and its efficiency the supply chain complexity management becomes a major challenge of today’s business management. A two dimensional driver concept is introduced and explained to comprehend the major causes of a supply chains’ complexity. To map the effects of the drivers and to understand the different dimensions of complexity, a general complexity model is introduced. A supply chain complexity analysis approach is presented, to evaluate the initial situation and to provide the necessary information for deriving the right actions and strategies for the management of complexity within a supply chain.

Suggested Citation

  • Blecker, Thorsten & Kersten, Wolfgang & Meyer, Christian, 2005. "Development of an Approach for Analyzing Supply Chain Complexity," MPRA Paper 5284, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:5284
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    File URL: https://mpra.ub.uni-muenchen.de/5284/1/MPRA_paper_5284.pdf
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    References listed on IDEAS

    as
    1. Perona, Marco & Miragliotta, Giovanni, 2004. "Complexity management and supply chain performance assessment. A field study and a conceptual framework," International Journal of Production Economics, Elsevier, vol. 90(1), pages 103-115, July.
    2. Ernst, Ricardo & Kamrad, Bardia, 2000. "Evaluation of supply chain structures through modularization and postponement," European Journal of Operational Research, Elsevier, vol. 124(3), pages 495-510, August.
    3. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    4. Gupta, Yash P. & Goyal, Sameer, 1989. "Flexibility of manufacturing systems: Concepts and measurements," European Journal of Operational Research, Elsevier, vol. 43(2), pages 119-135, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Saikouk, Tarik & Badraoui, Ismail & Spalanzani, Alain, 2014. "The Forest Supply Chain Management: An Entropic Perspective," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 487-513, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Nima Hamta & M. Akbarpour Shirazi & Sara Behdad & S.M.T. Fatemi Ghomi, 2018. "Modeling and measuring the structural complexity in assembly supply chain networks," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 259-275, February.
    3. Vogel, Wolfgang & Lasch, Rainer, 2015. "Approach for Complexity Management in Variant-rich Product Development," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 97-140, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Vladimir Modrak & Zuzana Soltysova, 2017. "Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators," Complexity, Hindawi, vol. 2017, pages 1-15, June.
    5. Markus Schäfermeyer & Christoph Rosenkranz & Roland Holten, 2012. "The Impact of Business Process Complexity on Business Process Standardization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(5), pages 261-270, October.
    6. Kavilal, E.G. & Prasanna Venkatesan, S. & Harsh Kumar, K.D., 2017. "An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer," Resources Policy, Elsevier, vol. 51(C), pages 204-218.

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    More about this item

    Keywords

    complexity; supply chain; variety; model;
    All these keywords.

    JEL classification:

    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

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