The impact of flexibility on operational supply chain planning
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- Schütz, Peter & Tomasgard, Asgeir & Ahmed, Shabbir, 2009. "Supply chain design under uncertainty using sample average approximation and dual decomposition," European Journal of Operational Research, Elsevier, vol. 199(2), pages 409-419, December.
- R. T. Rockafellar & Roger J.-B. Wets, 1991. "Scenarios and Policy Aggregation in Optimization Under Uncertainty," Mathematics of Operations Research, INFORMS, vol. 16(1), pages 119-147, February.
- Kenneth R. Baker & David W. Peterson, 1979. "An Analytic Framework for Evaluating Rolling Schedules," Management Science, INFORMS, vol. 25(4), pages 341-351, April.
- Daniel Christiansen & Stein Wallace, 1998. "Option theory and modeling under uncertainty," Annals of Operations Research, Springer, vol. 82(0), pages 59-82, August.
- Sabri, Ehap H. & Beamon, Benita M., 2000. "A multi-objective approach to simultaneous strategic and operational planning in supply chain design," Omega, Elsevier, vol. 28(5), pages 581-598, October.
- Stein W. Wallace & Stein-Erik Fleten, 2002. "Stochastic programming in energy," GE, Growth, Math methods 0201001, University Library of Munich, Germany, revised 13 Nov 2003.
- Escudero, L. F. & Galindo, E. & Garcia, G. & Gomez, E. & Sabau, V., 1999. "Schumann, a modeling framework for supply chain management under uncertainty," European Journal of Operational Research, Elsevier, vol. 119(1), pages 14-34, November.
- Goyal, S. K. & Gunasekaran, A., 1990. "Multi-stage production-inventory systems," European Journal of Operational Research, Elsevier, vol. 46(1), pages 1-20, May.
- Escudero, L. F., 1994. "CMIT, capacitated multi-level implosion tool," European Journal of Operational Research, Elsevier, vol. 76(3), pages 511-528, August.
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Cited by:
- Giannikas, Vaggelis & McFarlane, Duncan, 2021. "Examining the value of flexible logistics offerings," European Journal of Operational Research, Elsevier, vol. 290(3), pages 968-981.
- Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "A tactical supply chain planning model with multiple flexibility options: an empirical evaluation," Annals of Operations Research, Springer, vol. 244(2), pages 429-454, September.
- Ottesen, Stig Odegaard & Tomasgard, Asgeir, 2015. "A stochastic model for scheduling energy flexibility in buildings," Energy, Elsevier, vol. 88(C), pages 364-376.
- Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "Tactical supply chain planning models with inherent flexibility: definition and review," Annals of Operations Research, Springer, vol. 244(2), pages 407-427, September.
- Klibi, Walid & Martel, Alain, 2012. "Modeling approaches for the design of resilient supply networks under disruptions," International Journal of Production Economics, Elsevier, vol. 135(2), pages 882-898.
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Keywords
Supply chain planning Flexibility Stochastic programming Demand forecasting;Statistics
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