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Entropy as a measure of operational flexibility

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  • Shuiabi, Eyas
  • Thomson, Vince
  • Bhuiyan, Nadia

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  • Shuiabi, Eyas & Thomson, Vince & Bhuiyan, Nadia, 2005. "Entropy as a measure of operational flexibility," European Journal of Operational Research, Elsevier, vol. 165(3), pages 696-707, September.
  • Handle: RePEc:eee:ejores:v:165:y:2005:i:3:p:696-707
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    References listed on IDEAS

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    1. Mandelbaum, Marvin & Buzacott, John, 1990. "Flexibility and decision making," European Journal of Operational Research, Elsevier, vol. 44(1), pages 17-27, January.
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    Cited by:

    1. Gong, Zhejun & Hu, Sun, 2008. "An economic evaluation model of product mix flexibility," Omega, Elsevier, vol. 36(5), pages 852-864, October.
    2. Wahab, M.I.M. & Wu, Desheng & Lee, Chi-Guhn, 2008. "A generic approach to measuring the machine flexibility of manufacturing systems," European Journal of Operational Research, Elsevier, vol. 186(1), pages 137-149, April.
    3. Seebacher, Gottfried & Winkler, Herwig, 2014. "Evaluating flexibility in discrete manufacturing based on performance and efficiency," International Journal of Production Economics, Elsevier, vol. 153(C), pages 340-351.
    4. Olivella, Jordi & Corominas, Albert & Pastor, Rafael, 2010. "An entropy-based measurement of working time flexibility," European Journal of Operational Research, Elsevier, vol. 200(1), pages 253-260, January.
    5. Enrico Teich & Thorsten Claus, 2017. "Measurement of Load and Capacity Flexibility in Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 291-302, December.
    6. Zhengyin Zhou & Xiaoling Wang & Ruirui Sun & Xuefei Ao & Xiaopei Sun & Mingrui Song, 2014. "Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part II: Model application and results," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 675-700, June.
    7. Fleischhacker, Adam J. & Fok, Pak-Wing, 2015. "On the relationship between entropy, demand uncertainty, and expected loss," European Journal of Operational Research, Elsevier, vol. 245(2), pages 623-628.
    8. J. Arismendi-Zambrano & R. Azevedo, 2020. "Implicit Entropic Market Risk-Premium from Interest Rate Derivatives," Economics Department Working Paper Series n303-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    9. Wahab, M.I.M. & Stoyan, S.J., 2008. "A dynamic approach to measure machine and routing flexibilities of manufacturing systems," International Journal of Production Economics, Elsevier, vol. 113(2), pages 895-913, June.
    10. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    11. Chang, An-Yuan, 2009. "An attribute approach to the measurement of machine-group flexibility," European Journal of Operational Research, Elsevier, vol. 194(3), pages 774-786, May.
    12. Jaroslava Smolová & Martin Pech, 2011. "Fuzzy approach to supply chain management," Economics Working Papers 2011-01, University of South Bohemia in Ceske Budejovice, Faculty of Economics.
    13. Navin K. Dev & Ravi Shankar & Angappa Gunasekaran & Lakshman S. Thakur, 2016. "A hybrid adaptive decision system for supply chain reconfiguration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 7100-7114, December.
    14. Hang Zheng & Clive Lyle & Zhongjing Wang, 2014. "A Comparative Study of Flexibility in Water Allocation in the Context of Hydrologic Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 785-800, February.
    15. Jha, Pradeep K. & Jha, Rakhi & Datt, Rajul & Guha, Sujoy K., 2011. "Entropy in good manufacturing system: Tool for quality assurance," European Journal of Operational Research, Elsevier, vol. 211(3), pages 658-665, June.
    16. Sagi Akron & Roy Gelbard, 2020. "Software code flexibility profitability in light of technology life cycle," Operational Research, Springer, vol. 20(2), pages 723-746, June.
    17. Seebacher, Gottfried & Winkler, Herwig, 2015. "A capability approach to evaluate supply chain flexibility," International Journal of Production Economics, Elsevier, vol. 167(C), pages 177-186.
    18. Martinez-Olvera, Cesar, 2008. "Entropy as an assessment tool of supply chain information sharing," European Journal of Operational Research, Elsevier, vol. 185(1), pages 405-417, February.
    19. Gong, Zhejun, 2008. "An economic evaluation model of supply chain flexibility," European Journal of Operational Research, Elsevier, vol. 184(2), pages 745-758, January.
    20. Tao Wang & Jian-sheng Chen & Ting Wang & Shuang Wang, 2015. "Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 747-767, March.

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