Promoting supply chain productivity with the use of The invincibility theory
Subject Areas : Business ManagementZahra KHoshsepehr 1 , Sayed Hussein Fakhrpour 2 , Mohammad Hasan Maleki 3
1 - Msc in industrial Management, University of Management and Accounting, Farabi pardis of Tehran University.
2 - Msc in industrial Management, University of Management and Accounting, Farabi pardis of Tehran University.
3 - Assistant Professor of Management, University of Qom
Keywords: Supply Chain, Analytic network process (ANP), Invincibility, Grey- ARAS,
Abstract :
This research was an applied cross-sectional descriptive survey. Thestudy tried to measure the amount of invincibility of supply chain ofMobarakeh Steet Company in Esfahan. To do so, the basic frameworkwas obtained through a comprehensive review of the related literature;the framework was prepared and verified by experts. Using thisframework, the invincibility related to supply chain was obtained.Having sessions with experts and using interviews and questionnaires,the criteria were refined. Using ANP the importance of each criterionwas specified. The main criteria, all the risk criteria (0.16) and learning(0.5) accounted for the largest weight. Using grey ARAS supplierEsfahan Mobarakeh steel company was ranked in terms of invincibilityand the rank of PARS in the supplier invincibility was located in the firstplace.
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Rafi, U., & Masih, M. (2014), Are Islamic Banks Truly Shariah Compliant? An Application of Time Series Multivariate Forecasting Techniques to Islamic Bank Financing.
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Turskis, Z., & Zavadskas, E. K. (2010), A novel method for multiple criteria analysis: grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
Turskis, Z., Zavadskas, E. K., & Kutut, V. (2013), A model based on ARAS-G and AHP methods for multiple criteria prioritizing of heritage value. International Journal of Information Technology & Decision Making, 12(01), 45-73.
Zitzmann, I. (2014), How to cope with uncertainty in supply chains? Conceptual framework for agility, robustness, resilience, continuity and anti-fragility in supply chains. Next generation supply chains: trends and opportunities. Springer, Berlin,361-374.
_||_Bendell, T.(2014), Building Anti-fragile Organisations: Risk, Opportunity and Governance in a Turbulent World. Routledge.
Charles, A., Lauras, M., & Van Wassenhove, L. (2010), A model to define and assess the agility of supply chains: building on humanitarian experience. International Journal of Physical Distribution & Logistics Management, 40(8/9), 722-741.
Fu, X. Zhu, Q., & Sarkis, J. (2012), evaluating green supplier development programs at a telecommunications systems provider. International Journal of Production Economics, 140(1), 357-367.
Gligor, D. M., Esmark, C. L., & Holcomb, M. C. (2015), Performance outcomes of supply chain agility: when should you be agile?. Journal of Operations Management, 33, 71-82.
Goetschalckx, M. Huang, E., & Mital, P. (2012), Robust global supply network design.Information Knowledge Systems Management, 11(1-2), 119-130.
Johnson, J., & Gheorghe, A.V.(2013), Antifragility analysis and measurement framework for systems of systems. International Journal of Disaster Risk Science, 4(4), 159-168.
Kastsian, D., & Mönnigmann, M. (2011), Optimization of a vendor managed inventory supply chain with guaranteed stability and robustness. International Journal of Production Economics, 131(2), 727-735.
Klibi, W., Martel, A., & Guitouni, A.(2010), The impact of operations anticipations on the quality of supply chain network design models. CIRRELT.
Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010), Ensuring supply chain resilience: development of a conceptual framework. Journal of business logistics, 31(1), 1-21.
Rafi, U., & Masih, M. (2014), Are Islamic Banks Truly Shariah Compliant? An Application of Time Series Multivariate Forecasting Techniques to Islamic Bank Financing.
Saaty, T. L., (1999), Fundamentals of the Analytic Network Process. ISAHP, Kobe.
Simangunsong, E., Hendry, L. C., & Stevenson, M. (2012), Supply-chain uncertainty: a review and theoretical foundation for future research. International Journal of Production Research, 50(16), 4493-4523.
Taleb, N. N. (2012), Antifragile: Things that gain from disorder. Random House Incorporated, 3.
Turskis, Z., & Zavadskas, E. K. (2010), A novel method for multiple criteria analysis: grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
Turskis, Z., Zavadskas, E. K., & Kutut, V. (2013), A model based on ARAS-G and AHP methods for multiple criteria prioritizing of heritage value. International Journal of Information Technology & Decision Making, 12(01), 45-73.
Zitzmann, I. (2014), How to cope with uncertainty in supply chains? Conceptual framework for agility, robustness, resilience, continuity and anti-fragility in supply chains. Next generation supply chains: trends and opportunities. Springer, Berlin,361-374.
