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Smoothing supply chain dynamics

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  1. Chan, Chi Kin & Lee, H.W.J. & Wong, K.H., 2008. "Optimal feedback production for a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 619-625, June.
  2. María Arquer & Borja Ponte & Raúl Pino, 2022. "Examining the balance between efficiency and resilience in closed-loop supply chains," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1307-1336, December.
  3. 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.
  4. Roba W. Salem & Mohamed Haouari, 2017. "A simulation-optimisation approach for supply chain network design under supply and demand uncertainties," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1845-1861, April.
  5. Chatfield, Dean C. & Pritchard, Alan M., 2013. "Returns and the bullwhip effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 159-175.
  6. Ovalle, Oscar Rubiano & Marquez, Adolfo Crespo, 2003. "Exploring the utilization of a CONWIP system for supply chain management. A comparison with fully integrated supply chains," International Journal of Production Economics, Elsevier, vol. 83(2), pages 195-215, February.
  7. Tobail Ayman & Crowe John & Arisha Amr, 2016. "Interactive learning: developing an eSimulation portal framework," The Irish Journal of Management, Sciendo, vol. 35(1), pages 17-33, April.
  8. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
  9. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Inventory management in supply chains: a reinforcement learning approach," International Journal of Production Economics, Elsevier, vol. 78(2), pages 153-161, July.
  10. Fleisch, Elgar & Tellkamp, Christian, 2005. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 95(3), pages 373-385, March.
  11. Thomas, Douglas J. & Griffin, Paul M., 1996. "Coordinated supply chain management," European Journal of Operational Research, Elsevier, vol. 94(1), pages 1-15, October.
  12. Mason-Jones, Rachel & Towill, Denis R., 1999. "Total cycle time compression and the agile supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 61-73, May.
  13. S Sivadasan & J Smart & L Huaccho Huatuco & A Calinescu, 2010. "Operational complexity and supplier–customer integration: case study insights and complexity rebound," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(12), pages 1709-1718, December.
  14. Petrovic, Dobrila, 2001. "Simulation of supply chain behaviour and performance in an uncertain environment," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 429-438, May.
  15. Lin, J. & Naim, M.M. & Purvis, L. & Gosling, J., 2017. "The extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015," International Journal of Production Economics, Elsevier, vol. 194(C), pages 135-152.
  16. Marufuzzaman, Mohammed & Deif, Ahmed M., 2010. "A dynamic approach to determine the product flow nature in apparel supply chain network," International Journal of Production Economics, Elsevier, vol. 128(2), pages 484-495, December.
  17. Stadnicka, Dorota & Litwin, Paweł, 2019. "Value stream mapping and system dynamics integration for manufacturing line modelling and analysis," International Journal of Production Economics, Elsevier, vol. 208(C), pages 400-411.
  18. Disney, S. M. & Naim, M. M. & Potter, A., 2004. "Assessing the impact of e-business on supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 89(2), pages 109-118, May.
  19. Holweg, Matthias & Bicheno, John, 2002. "Supply chain simulation - a tool for education, enhancement and endeavour," International Journal of Production Economics, Elsevier, vol. 78(2), pages 163-175, July.
  20. Nair, Anand & Closs, David J., 2006. "An examination of the impact of coordinating supply chain policies and price markdowns on short lifecycle product retail performance," International Journal of Production Economics, Elsevier, vol. 102(2), pages 379-392, August.
  21. Naim, M.M. & Wikner, J. & Grubbström, R.W., 2007. "A net present value assessment of make-to-order and make-to-stock manufacturing systems," Omega, Elsevier, vol. 35(5), pages 524-532, October.
  22. Scavarda, Manuel & Seok, Hyesung & Puranik, Anurag S. & Nof, Shimon Y., 2015. "Adaptive direct/indirect delivery decision protocol by collaborative negotiation among manufacturers, distributors, and retailers," International Journal of Production Economics, Elsevier, vol. 167(C), pages 232-245.
  23. Campuzano Bolarín, Francisco & Lario Esteban, Francisco Cruz & Ros McDonnell, Lorenzo, 2008. "Consecuencias del efecto Bullwhip según distintas estrategias de gestión de la cadena de suministro: modelado y simulación = Bullwhip Effect Consequences according to Different Supply Chain Management," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 5(1), pages 49-66, June.
  24. Zhou, Li & Naim, Mohamed M. & Disney, Stephen M., 2017. "The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 487-502.
  25. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
  26. Petrovic, Dobrila & Roy, Rajat & Petrovic, Radivoj, 1999. "Supply chain modelling using fuzzy sets," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 443-453, March.
  27. Tianjian Yang & Weiguo Fan, 2016. "Information management strategies and supply chain performance under demand disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 8-27, January.
  28. S. Disney & I. Farasyn & M. Lambrecht & D. Towill & W. Van de Velde, 2005. "Smooth is Smart.Bullwhip, Inventory, Fill-Rates and the Golden Ratio," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 167-186.
  29. Kim, Soo Wook & Park, Sangwook, 2008. "Development of a three-echelon SC model to optimize coordination costs," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1044-1061, February.
  30. Ojha, Divesh & Sahin, Funda & Shockley, Jeff & Sridharan, Sri V., 2019. "Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type," International Journal of Production Economics, Elsevier, vol. 208(C), pages 529-543.
  31. Wikner, Joakim & Naim, Mohamed M. & Spiegler, Virginia L.M. & Lin, Junyi, 2017. "IOBPCS based models and decoupling thinking," International Journal of Production Economics, Elsevier, vol. 194(C), pages 153-166.
  32. Miragliotta, Giovanni, 2006. "Layers and mechanisms: A new taxonomy for the Bullwhip Effect," International Journal of Production Economics, Elsevier, vol. 104(2), pages 365-381, December.
  33. Crespo Marquez, Adolfo & Bianchi, Carmine & Gupta, Jatinder N. D., 2004. "Operational and financial effectiveness of e-collaboration tools in supply chain integration," European Journal of Operational Research, Elsevier, vol. 159(2), pages 348-363, December.
  34. Persson, Fredrik, 2011. "SCOR template--A simulation based dynamic supply chain analysis tool," International Journal of Production Economics, Elsevier, vol. 131(1), pages 288-294, May.
  35. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
  36. Zhou, Li & Disney, Stephen & Towill, Denis R., 2010. "A pragmatic approach to the design of bullwhip controllers," International Journal of Production Economics, Elsevier, vol. 128(2), pages 556-568, December.
  37. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
  38. Li, Gang & Yang, Hongjiao & Sun, Linyan & Ji, Ping & Feng, Lei, 2010. "The evolutionary complexity of complex adaptive supply networks: A simulation and case study," International Journal of Production Economics, Elsevier, vol. 124(2), pages 310-330, April.
  39. Junhai Ma & Liqing Zhu & Ye Yuan & Shunqi Hou, 2018. "Study of the Bullwhip Effect in a Multistage Supply Chain with Callback Structure considering Two Retailers," Complexity, Hindawi, vol. 2018, pages 1-12, April.
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