Development of risk based dynamic backorder replenishment planning framework using Bayesian Belief Network

Computers & Industrial Engineering - Tập 62 - Trang 716-725 - 2012
KwangSup Shin1, YongWoo Shin2, Ji-Hye Kwon3, Suk-Ho Kang1
1Department of Industrial Engineering, College of Engineering, Seoul National University, San 56-1, DaeHak-dong, Gwanak-gu, Seoul 151-742, Republic of Korea
2Entrue Consulting Partners, LG CNS, 25F, Seoul Finance Center, 84, TaePyeong-ro 1-ga, Chung-gu, Seoul 100-768, Republic of Korea
3Republic of Korea Navy, P.O. Box 602-2, Hyundong, Jinhye-si, Gyeong Sang Nam-do, Republic of Korea

Tài liệu tham khảo

Ahuja, 1993 Altay, 2010, Impact of disasters on firms in different sectors: Implications for supply chains, Journal of Supply Chain Management, 46, 59, 10.1111/j.1745-493X.2010.03206.x Balakrishnan, 1997, Network design, 311 Bart, K., & Maurice, P. (2007). Supply chain risk management, better control of your business environment. In Deloitte. Blome, 2011, Supply chain risk management in financial crises – A multiple case-study approach, International Journal of Production Economics, 134, 43, 10.1016/j.ijpe.2011.01.002 Bonafede, 2007, Bayesian networks for enterprise risk assessment, Physica A: Statistical Mechanics and its Applications, 382, 22, 10.1016/j.physa.2007.02.065 Boulogne, 2002, On the convergence to Nash equilibrium in problems of distributed computing, Annals of Operations Research, 109, 279, 10.1023/A:1016312521369 Chiles, 1996, Integrating variable risk preferences, trust, and transaction cost economics, The Academy of Management Review, 21, 73, 10.5465/amr.1996.9602161566 Chopra, 2004, Managing risk to avoid supply-chain breakdown, MIT Sloan Management Review, 46, 53 Clark, 1960, Optimal policies for a multi-echelon inventory problem, Management Science, 6, 475, 10.1287/mnsc.6.4.475 Faisal, 2006, Mapping supply chains on risk and customer sensitivity dimensions, Industrial Management & Data Systems, 106, 878, 10.1108/02635570610671533 Fan, 2004, BBN-based software project risk management, Journal of Systems and Software, 73, 193, 10.1016/j.jss.2003.12.032 Giannakis, 2011, A multi-agent based framework for supply chain risk management, Journal of Purchasing and Supply Management, 17, 23, 10.1016/j.pursup.2010.05.001 Harland, 2003, Risk in supply networks, Journal of Purchasing and Supply Management, 9, 51, 10.1016/S1478-4092(03)00004-9 Headquater (1998). Risk management field manual. In D. o. t. Army. Washington, DC. Heckerman, D. (1995). A tutorial on learning with Bayesian networks. In Microsoft research (pp. 1–57). Hu, Y., Chen, J., Huang, J., Liu, M., & Xie, K. (2007). Analyzing software system quality risk using Bayesian belief network. In 2007 IEEE international conference on granular computing (GRC 2007) (pp. 93). San Jose, California. Hui, A. K. T., & Liu, D. B. (2004). A Bayesian belief network model and tool to evaluate risk and impact in software development projects. In Reliability and maintainability, 2004 annual symposium – RAMS (pp. 297–301). Iglehart, 1961, Optimal policy for dynamic inventory process with non-stationary stochastic demands Jüttner, 2003, Supply chain risk management: Outlining an agenda for future research, International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management, 6, 197, 10.1080/13675560310001627016 Kajüter, 2003, Risk management in supply chains, 321 Kim, 2005, Adaptive inventory control models for supply chain management, The International Journal of Advanced Manufacturing Technology, 26, 1184, 10.1007/s00170-004-2069-8 Knuth, D. E. (1981). The art of computer programming (3rd ed. Vol. 2). Massachusetts: Addison-Wesley Professional. Léger, 2006, Safeguarding mechanisms in a supply chain network, Industrial Management & Data Systems, 106, 759, 10.1108/02635570610671461 La Londe, B. J. (1997). Supply Chain Management: myth or reality? In Supply chain management review (Vol. 1, pp. 6–7). Lai, 2009, Sharing inventory risk in supply chain: The implication of financial constraint, Omega, 37, 811, 10.1016/j.omega.2008.06.003 Lauría, 2006, A Bayesian belief network for IT implementation decision support, Decision Support Systems, 42, 1573, 10.1016/j.dss.2006.01.003 Lee, 2009, Large engineering project risk management using a Bayesian belief network, Expert Systems with Applications, 36, 5880, 10.1016/j.eswa.2008.07.057 Lingxiu, 2003, Optimal policies and approximations for a serial multiechelon inventory system with time-correlated demand, Operational Research, 51, 969, 10.1287/opre.51.6.969.24920 Liu, L. P., Ji, H. H., Fan, T. J., Qi, L. L., & Wu, Z. (2006). Risk management in chemical industry supply chain. In Proceedings of 2006 IEEE international conference on service operations and logistics, and informatics (SOLI 2006) (pp. 415–418). Magnanti, 1984, Network design and transportation planning: Models and algorithms, Transportation Science, 18, 1, 10.1287/trsc.18.1.1 Manuj, 2008, Global supply chain risk management, Journal of Business Logistics, 29, 133, 10.1002/j.2158-1592.2008.tb00072.x March, 1987, Managerial perspectives on risk and risk taking, Management Science, 33, 1404, 10.1287/mnsc.33.11.1404 Marcot, 2001, Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement, Forest Ecology and Management, 153, 29, 10.1016/S0378-1127(01)00452-2 Markowitz, 1952, Portfolio selection, The Journal of Finance, 7, 77, 10.2307/2975974 Matthews, J. K., & Holt, C. J. (1995). So many, so much, so far, so fast: United States transportation command and strategic deployment for operation desert shield/desert storm. Washington, DC: United States Government Printing. McGillivray, 2000, Commercial risk under, JIT Canadian Underwriter, 67, 26 Miller, 1992, A framework for integrated risk management in international business, Journal of International Business Studies, 23, 311, 10.1057/palgrave.jibs.8490270 Neiger, 2009, Supply chain risk identification with value-focused process engineering, Journal of Operations Management, 27, 154, 10.1016/j.jom.2007.11.003 Neil, 1996, Applying Bayesian belief networks to systems dependability assessment, 71 Norrman, 2004, Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident, International Journal of Physical Distribution & Logistics Management, 34, 434, 10.1108/09600030410545463 Nyberg, 2006, Using Bayesian belief networks in adaptive management, Canadian Journal of Forest Research, 36, 3104, 10.1139/x06-108 Oehmen, 2009, System-oriented supply chain risk management, Production Planning and Control, 20, 343, 10.1080/09537280902843789 Park, H., & van der Schaar, M. (2007). Congestion game modeling for brokerage based multimedia resource management. In Packet video 2007 (pp. 18–25). Pfohl, 2010, State of the art in supply chain risk management research: Empirical and conceptual findings and a roadmap for the implementation in practice, Logistics Research, 2, 33, 10.1007/s12159-010-0023-8 Pollino, 2007, Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment, Environmental Modelling & Software, 22, 1140, 10.1016/j.envsoft.2006.03.006 Rao, 2009, Supply chain risks: A review and typology, International Journal of Logistics Management, 20, 97, 10.1108/09574090910954864 Rowe, 1980, Risk assessment approaches and methods, 3 Ryu, 2009, The role of partnership in supply chain performance, Industrial Management & Data Systems, 109, 496, 10.1108/02635570910948632 Sabio, 2010, Strategic planning with risk control of hydrogen supply chains for vehicle use under uncertainty in operating costs: A case study of Spain, International Journal of Hydrogen Energy, 35, 6836, 10.1016/j.ijhydene.2010.04.010 Schmitt, A. J., & Singh, M. (2009). Quantifying supply chain disruption risk using Monte Carlo and discrete-event simulation. In Proceedings of the 2009 winter simulation conference (WSC) (pp. 1237–1248). Skipper, 2009, Minimizing supply chain disruption risk through enhanced flexibility, International Journal of Physical Distribution & Logistics Management, 39, 404, 10.1108/09600030910973742 Song, 1993, Inventory control in a fluctuating demand environment, Operations Research, 41, 351, 10.1287/opre.41.2.351 Supply-Chain Council (2008). Supply Chain Operations Reference Model (SCOR), Version 9.0. In. Washington: Supply-Chain Council. Tang, 2006, Perspectives in supply chain risk management, International Journal of Production Economics, 103, 451, 10.1016/j.ijpe.2005.12.006 Trkman, 2009, Supply chain risk in turbulent environments-A conceptual model for managing supply chain network risk, International Journal of Production Economics, 119, 247, 10.1016/j.ijpe.2009.03.002 Trucco, 2008, A Bayesian belief network modelling of organisational factors in risk analysis: A case study in maritime transportation, Reliability Engineering & System Safety, 93, 845, 10.1016/j.ress.2007.03.035 Tuncel, 2010, Risk assessment and management for supply chain networks: A case study, Computers in Industry, 61, 250, 10.1016/j.compind.2009.09.008 van der Gaag, 1996, Bayesian belief networks: Odds and ends, The Computer Journal, 39, 97, 10.1093/comjnl/39.2.97 Vanany, 2009, Supply chain risk management: Literature review and future research, International Journal of Information Systems and Supply Chain Management, 2, 16, 10.4018/jisscm.2009010102 VanderGaag, 1996, Bayesian belief networks: Odds and ends, Computer Journal, 39, 97, 10.1093/comjnl/39.2.97 Wu, 2009, Supplier selection under uncertainty: A switching options perspective, Industrial Management & Data Systems, 109, 191, 10.1108/02635570910930091 Xiao, 2009, Risk sharing and information revelation mechanism of a one-manufacturer and one-retailer supply chain facing an integrated competitor, European Journal of Operational Research, 196, 1076, 10.1016/j.ejor.2008.05.004 Zelbst, P. J., Jr., Green, K. W., Sower, V. E., & Reyes, P. (2009). Impact of supply chain linkages on supply chain performance. Industrial Management & Data Systems, 109(5), 665–682.