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OVAP: A strategy to implement partial information sharing among supply chain retailers

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  • Dominguez, Roberto
  • Cannella, Salvatore
  • Barbosa-Póvoa, Ana P.
  • Framinan, Jose M.

Abstract

This paper analyses the impact on supply chain performance of adopting different strategies to implement partial information sharing among heterogeneous retailers. Supply chains are modelled using a multi-agent systems approach. We find that the strategy adopted to construct the partial information sharing structure (i.e., the retailers who share information) has a significant impact on supply chain performance. We propose a practical strategy, named Order VAriance Prioritization (OVAP), which gives priority to the retailers with higher order variance. OVAP outperforms the worst (i.e. naive) implementation method by 27.2% and 7.8% with respect to the levels of bullwhip and average inventory.

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  • Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.
  • Handle: RePEc:eee:transe:v:110:y:2018:i:c:p:122-136
    DOI: 10.1016/j.tre.2017.12.016
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    1. 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.
    2. Nelson Minar & Rogert Burkhart & Chris Langton & Manor Askenazi, 1996. "The Swarm Simulation System: A Toolkit for Building Multi-Agent Simulations," Working Papers 96-06-042, Santa Fe Institute.
    3. Mansour Rached & Zied Bahroun & Jean-Pierre Campagne, 2016. "Decentralised decision-making with information sharing vs. centralised decision-making in supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7274-7295, December.
    4. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    5. Kim, Jeon G. & Chatfield, Dean & Harrison, Terry P. & Hayya, Jack C., 2006. "Quantifying the bullwhip effect in a supply chain with stochastic lead time," European Journal of Operational Research, Elsevier, vol. 173(2), pages 617-636, September.
    6. Boray Huang & Seyed M. R. Iravani, 2005. "Production Control Policies in Supply Chains with Selective-Information Sharing," Operations Research, INFORMS, vol. 53(4), pages 662-674, August.
    7. Rekik, Y. & Glock, C. H. & Syntetos, A., 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 85375, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Li, Guo & Zhang, Lijun & Guan, Xu & Zheng, Junjun, 2016. "Impact of decision sequence on reliability enhancement with supply disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 25-38.
    9. Rekik, Yacine & Glock, Christoph H. & Syntetos, Aris A., 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning," European Journal of Operational Research, Elsevier, vol. 261(1), pages 182-194.
    10. 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.
    11. Guangwen Kong & Sampath Rajagopalan & Hao Zhang, 2013. "Revenue Sharing and Information Leakage in a Supply Chain," Management Science, INFORMS, vol. 59(3), pages 556-572, November.
    12. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    13. Qinyun Li & Stephen M. Disney, 2017. "Revisiting rescheduling: MRP nervousness and the bullwhip effect," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1992-2012, April.
    14. Disney, Stephen M. & Maltz, Arnold & Wang, Xun & Warburton, Roger D.H., 2016. "Inventory management for stochastic lead times with order crossovers," European Journal of Operational Research, Elsevier, vol. 248(2), pages 473-486.
    15. Ali, Mohammad M. & Babai, Mohamed Zied & Boylan, John E. & Syntetos, A.A., 2017. "Supply chain forecasting when information is not shared," European Journal of Operational Research, Elsevier, vol. 260(3), pages 984-994.
    16. Roberto Domínguez & Jose M. Framinan, 2013. "A decision management tool: modelling the order fulfilment process by multi-agent systems," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 12(3), pages 240-258.
    17. Jeong, In-Jae & Jorge Leon, V., 2012. "A serial supply chain of newsvendor problem with safety stocks under complete and partial information sharing," International Journal of Production Economics, Elsevier, vol. 135(1), pages 412-419.
    18. S Cannella & A P Barbosa-Póvoa & J M Framinan & S Relvas, 2013. "Metrics for bullwhip effect analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(1), pages 1-16, January.
    19. Hoberg, Kai & Thonemann, Ulrich W., 2014. "Modeling and analyzing information delays in supply chains using transfer functions," International Journal of Production Economics, Elsevier, vol. 156(C), pages 132-145.
    20. Huang, Yanting & Wang, Zongjun, 2017. "Values of information sharing: A comparison of supplier-remanufacturing and manufacturer-remanufacturing scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 20-44.
    21. Trapero, Juan R. & Kourentzes, N. & Fildes, R., 2012. "Impact of information exchange on supplier forecasting performance," Omega, Elsevier, vol. 40(6), pages 738-747.
    22. Yeu-Shiang Huang & Ming-Chi Li & Jyh-Wen Ho, 2016. "Determination of the optimal degree of information sharing in a two-echelon supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1518-1534, March.
    23. 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.
    24. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    25. Jin Kyung Kwak & Srinagesh Gavirneni, 2015. "Impact of information errors on supply chain performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(2), pages 288-298, February.
    26. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2015. "On returns and network configuration in supply chain dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 152-167.
    27. Syntetos, Aris A. & Kholidasari, Inna & Naim, Mohamed M., 2016. "The effects of integrating management judgement into OUT levels: In or out of context?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 853-863.
    28. Hayya, Jack C. & Bagchi, Uttarayan & Ramasesh, Ranga, 2011. "Cost relationships in stochastic inventory systems: A simulation study of the (S, S-1, t=1) model," International Journal of Production Economics, Elsevier, vol. 130(2), pages 196-202, April.
    29. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    30. Zhang, Hongtao & Lee, Chung-Yee & Li, Tian, 2016. "The value of specific cargo information for substitutable modes of inland transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 23-39.
    31. Chaharsooghi, S. Kamal & Heydari, Jafar, 2010. "LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance?," International Journal of Production Economics, Elsevier, vol. 124(2), pages 475-481, April.
    32. Hosoda, Takamichi & Disney, Stephen M., 2012. "A delayed demand supply chain: Incentives for upstream players," Omega, Elsevier, vol. 40(4), pages 478-487.
    33. 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.
    34. Hayya, Jack C. & Bagchi, Uttarayan & Kim, Jeon G. & Sun, Daewon, 2008. "On static stochastic order crossover," International Journal of Production Economics, Elsevier, vol. 114(1), pages 404-413, July.
    35. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.
    36. Ali, Mohammad M. & Boylan, John E. & Syntetos, Aris A., 2012. "Forecast errors and inventory performance under forecast information sharing," International Journal of Forecasting, Elsevier, vol. 28(4), pages 830-841.
    37. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2004. "The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective," European Journal of Operational Research, Elsevier, vol. 153(3), pages 727-750, March.
    38. Babai, M.Z. & Boylan, J.E. & Syntetos, A.A. & Ali, M.M., 2016. "Reduction of the value of information sharing as demand becomes strongly auto-correlated," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 130-135.
    39. Zhou, Maosen & Dan, Bin & Ma, Songxuan & Zhang, Xumei, 2017. "Supply chain coordination with information sharing: The informational advantage of GPOs," European Journal of Operational Research, Elsevier, vol. 256(3), pages 785-802.
    40. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    41. Li, Qinyun & Disney, Stephen M. & Gaalman, Gerard, 2014. "Avoiding the bullwhip effect using Damped Trend forecasting and the Order-Up-To replenishment policy," International Journal of Production Economics, Elsevier, vol. 149(C), pages 3-16.
    42. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    43. Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
    44. Hung-pin Shih & Kee-hung Lai & T. C. E. Cheng, 2015. "Examining structural, perceptual, and attitudinal influences on the quality of information sharing in collaborative technology use," Information Systems Frontiers, Springer, vol. 17(2), pages 455-470, April.
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    Cited by:

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    3. Dominguez, Roberto & Cannella, Salvatore & Ponte, Borja & Framinan, Jose M., 2020. "On the dynamics of closed-loop supply chains under remanufacturing lead time variability," Omega, Elsevier, vol. 97(C).
    4. Ahmed Shaban & Mohamed A. Shalaby & Giulio Di Gravio & Riccardo Patriarca, 2020. "Analysis of Variance Amplification and Service Level in a Supply Chain with Correlated Demand," Sustainability, MDPI, vol. 12(16), pages 1-27, August.
    5. Ponte, Borja & Puche, Julio & Rosillo, Rafael & de la Fuente, David, 2020. "The effects of quantity discounts on supply chain performance: Looking through the Bullwhip lens," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    6. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    7. Wu, Jiang & Zou, Liuxin & Gong, Yeming & Chen, Mingyang, 2021. "The anti-collusion dilemma: Information sharing of the supply chain under buyback contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. Ponte, Borja & Costas, José & Puche, Julio & Pino, Raúl & de la Fuente, David, 2018. "The value of lead time reduction and stabilization: A comparison between traditional and collaborative supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 165-185.
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    11. Nguyen, Duy Tan & Adulyasak, Yossiri & Landry, Sylvain, 2021. "Research manuscript: The Bullwhip Effect in rule-based supply chain planning systems–A case-based simulation at a hard goods retailer," Omega, Elsevier, vol. 98(C).

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