Emergency Quantity Flexibility Contract of Multi-factorVolatility under Asymmetric Information

doi:10.12005/orms.2019.0061

Operations Research and Management Science ›› 2019, Vol. 28 ›› Issue (3): 95-103.DOI: 10.12005/orms.2019.0061

• Theory Analysis and Methodology Study • Previous Articles Next Articles

Emergency Quantity Flexibility Contract of Multi-factorVolatility under Asymmetric Information

PANG Jin-hui¹, SHI Wen-qiang², WU Shuang-sheng³, LIU Lang^3,4

1.School of Computer Science & Technology, Beijing Institute of Technology, Beijing 100081, China;
2.School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;
3.School of Economy and Management, East China Jiaotong University, Nanchang, Jiangxi 330013, China;
4.Henan Coordination Innovation Center for Aviation Economic Development, Zhengzhou 450046, China

Received:2017-07-10 Online:2019-03-25

信息不对称下多因素波动的应急数量弹性契约

逄金辉¹, 史文强², 吴双胜³, 刘浪^3,4

1.北京理工大学计算机学院,北京 100081;
2.北京理工大学管理与经济学院,北京 100081;
3.华东交通大学经济管理学院,江西南昌 330013;
4.航空经济发展河南省协同创新中心,河南郑州 450046

通讯作者: 刘浪(1973-),男,江西南昌人,教授,博士后,研究方向:供应链应急管理、应急物流。
作者简介:逄金辉(1969-),女,山东青岛人,副教授,博士,研究方向:博弈理论及其应用、数据挖掘与知识管理;史文强(1991-),男,江西南昌人,博士研究生,研究方向:应急管理;吴双胜(1993-),男,安徽安庆人,硕士研究生,研究方向:应急供应链管理
基金资助:
国家自然科学基金资助项目(71271029,71562013);北京市社会科学基金资助项目(15ZHB008)

Abstract

Abstract: Considering market demand and market price fluctuations due to supply chain disruption and emergencies, we deal with the situations by constructing an emergency quantity flexibility contract under production cost information asymmetry, and then derive the corresponding optimal equilibrium. Meanwhile, we make the comparison between the result with that of information symmetry, exploring the impacts of emergencies and the degree of information sharing on optimal decision of the supply chain. The conclusion shows that, if production cost information is asymmetric, the retailer can design quantity flexibility contracts to reveal the true production cost effectively under emergencies, but cannot achieve the coordination of supply chain. Simultaneously, when the demand reduces with the outburst of emergencies, the behavior of withholding information by the manufacturer can promote the overall efficiency of the supply chain. Finally, numerical experiments are given to verify the results.

Key words: emergency, asymmetric information, quantity flexibility contract, price random

摘要： 考虑突发事件导致市场需求大幅波动、市场价格随机波动,构建生产成本信息不对称时应急供应链的数量弹性契约模型,寻找最优定价及订货策略;与完全信息情形对比,分析突发事件的信息共享及其对供应链最优决策的影响程度。研究发现,在生产成本信息不对称情形下,突发事件发生时,虽然零售商设计的数量弹性契约可以有效体现真实生产成本,但对供应链协调不起作用。同时,如果市场需求规模缩减,制造商表现出隐藏信息行为,可以促使供应链整体效益增加。最后通过算例验证了这些结论。

关键词: 突发事件, 信息不对称, 数量弹性契约, 价格随机

CLC Number:

F406.2

PANG Jin-hui, SHI Wen-qiang, WU Shuang-sheng, LIU Lang. Emergency Quantity Flexibility Contract of Multi-factorVolatility under Asymmetric Information[J]. Operations Research and Management Science, 2019, 28(3): 95-103.

逄金辉, 史文强, 吴双胜, 刘浪. 信息不对称下多因素波动的应急数量弹性契约[J]. 运筹与管理, 2019, 28(3): 95-103.

References

[1] Xu M, Qi X, Yu G, Zhang H. Coordinating dyadic supply chains when production costs are disrupted[J]. IIE Transaction, 2006, 38(9): 765-775.
[2] Xiao T, Qi X. Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers[J]. Omega, 2008, 36(5): 741-753.
[3] Gao D, Zhao X, Geng W. A delay-in-payment contract for pareto improvement of a supply chain with stochastic demand[J]. Omega, 2014, 49: 60-68.
[4] Ren J, Xie H, Liu Y, et al. Coordinating a multi-retailer decentralized distribution system with random demand based on buyback and compensation contracts[J]. Journal of Industrial Engineering and Management, 2015, 8(1): 203-216.
[5] Giri B C, Chakraborty A. Coordinating a vendor-buyer supply chain with stochastic demand and uncertain yield[J]. International Journal of Management Science and Engineering Management, 2017, 12(2): 96-103.
[6] Tsay A A. The quantity flexibility contract and supplier-customer incentives[J]. Management science, 1999, 45(10): 1339-1358.
[7] Lariviere M A, Porteus E L. Selling to the newsvendor: an analysis of price-only contracts[J]. Manufacturing and Service Operations Management, 2001, 3(4): 293-305.
[8] Barnes-Schuster D, Bassok Y, Anupindi R. Coordination and flexibility in supply contracts with options[J]. Manufacturing Service Operations Management, 2002, 4(3): 171-207.
[9] Kanda A, Deshmukh S G. A framework for evaluation of coordination by contracts: a case of two-level supply chains[J]. Computers & Industrial Engineering, 2009, 56(4): 1177-1191.
[10] Govindan K, Diabat A, Popiuc M N. Contract analysis: a performance measures and profit evaluation within two-echelon supply chains[J]. Computers & Industrial Engineering, 2012, 63(1): 58-74.
[11] Karakaya S, Bakal I S S. Joint quantity flexibility for multiple products in a decentralized supply chain[J]. Computers & Industrial Engineering, 2013, 64(2): 696-707.
[12] Chung W, Talluri S, Narasimhan R. Quantity flexibility contract in the presence of discount incentive[J]. Decision Sciences, 2014, 45(1): 49-79.
[13] 林强,李海晴,李青.资金约束下集中型供应链数量柔性契约设计[J].工业工程与管理,2010,(6):26-30.
[14] Kim J S, Park S I, Shin K Y. A quantity flexibility contract model for a system with heterogeneous suppliers[J]. Computers & Operations Research, 2014, 41: 98-108.
[15] Tsay A, Lovejoy W. Quantity flexibility contracts and supply chain performance[J]. Manufacturing and Service Operations Management, 1999, 1(2): 89-111.
[16] Sethi S P, Yan H, Zhang H. Quantity flexibility contracts: optimal decisions with information updates[J]. Decision Science, 2004, 35(4): 691-712.
[17] Bassok Y, Anupindi R. Analysis of supply contracts with commitments and flexibility[J]. Naval Research Logistics, 2008, 55(5): 459-477.
[18] Kim W S. Order quantity flexibility as a form of customer service in a supply chain contract model[J]. Flexible Services and Manufacturing Journal, 2011, 23(3): 290-315.
[19] Kim W S. A supply chain contract with flexibility as a risk-sharing mechanism for demand forecasting[J]. International Journal of Systems Science, 2013, 44(6): 1134-1149.
[20] Tiwari A K, Tiwari A, Samuel C, Bhardwaj P. Procurement flexibility as a tool for supplier selection in disastrous environments[J]. Global Journal of Flexible Systems Management, 2013, 14(4): 211-223.
[21] 刘臣,张庆普,单伟.基于数量弹性契约的供应商数量选择问题研究[J].运筹与管理,2010,19(4):1-7.
[22] 尚文芳,祁明,陈琴.需求预测信息即时更新的供应链柔性期权协调契约[J].管理学报,2013,10(12):1827-1854.
[23] 朱海波,胡文.基于期权的供应链数量柔性契约决策模型[J].控制与决策,2014,29(5):860-866.
[24] 刘咏梅,成尚汶,谢虎.具有损失厌恶偏好零售商的供应链弹性数量契约[J].控制与决策,2012,27(7):975-982,990.
[25] 杨建华,牛坤,于本海,范德明.买方市场时效性产品的供应链弹性契约优化模型[J].中国管理科学,2013,29(5):80-85.
[26] 罗伟伟,刘伟,邵东国.不确定环境下具有损失厌恶偏好零售商的供应链协调[J].计算机集成制造系统,2016,22(12):2867-2874.
[27] 张琳,田军,杨瑞娜,冯耕中.数量柔性契约中的应急物资采购定价策略研究[J].系统工程理论与实践,2016,36(10):2590-2600.
[28] 刘浪,史文强,冯良清.多因素扰动情景下应急数量弹性契约的供应链协调[J].中国管理科学,2016,24(7):163-176.
[29] 刘浪,史文强,石岩.需求和价格同时波动零售商损失厌恶的应急数量弹性契约[J].控制与决策,2016,31(12):2200-2210.
[30] 吴忠和,陈宏,赵千.非对称信息下闭环供应链回购契约应对突发事件策略研究[J].中国管理科学,2013,21(6):97-106.
[31] 覃艳华,曹细玉,宋璐君.突发事件下需求信息不对称时的供应链协调应对[J].运筹与管理,2012,21(4):59-64.
[32] 吴忠和,陈宏,赵千.不对称信息供应链应对突发事件协调模型[J].系统管理学报,2015,24(1):91-97.
[33] 朱传波,季建华,陈祥国.突发性需求下的供应链能力决策及应急协调机制[J].计算机集成制造系统,2011,17(5):1071-1077.
[34] Chen K, Xiao T. Demand disruption and coordination of the supply chain with a dominant retailer[J]. European Journal of Operational Research, 2009, 197(1): 225-234.
[35] Kolay S, Shaffer G. Contract design with a dominant retailer and a competitive fringe[J]. Management Science, 2013, 59(9): 2111-2116.
[36] Wang J C, Lau H S, Lau A H L. When should a manufacturer share truthful manufacturing cost information with a dominant retailer?[J]. European Journal of Operational Research, 2009, 197(1): 266-286.
[37] Xu H, Shi N, Ma S H, Lai K K. Contracting with an urgent supplier under cost information asymmetry[J]. European Journal of Operational Research, 2010, 206(2): 374-383.

Emergency Quantity Flexibility Contract of Multi-factorVolatility under Asymmetric Information

信息不对称下多因素波动的应急数量弹性契约

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

[1]	XU Xuan-hua, YU Yan-fen, CHEN Xiao-hong. A Method of Large-group Emergency Decision-making Based on Attribute Association for Incomplete RiskPreferences [J]. Operations Research and Management Science, 2021, 30(9): 1-8.
[2]	LIU Lang, HUANG Dong-hong, PANG Jin-hui. Optimal Pricing and Ordering Decision of the Supply Chain under Multi-factor Interference [J]. Operations Research and Management Science, 2021, 30(9): 113-121.
[3]	DING Zhao-wei, YANG Jian-hua, WANG Ai, WANG Xin. Study on Site Location-routing Optimization of Security Patrol in Emergencies [J]. Operations Research and Management Science, 2021, 30(8): 1-6.
[4]	CAO Qi, HOU Wen-hua. Research on Multi-resolution Modeling of Emergency Material Supply Based on Agent-DEVS [J]. Operations Research and Management Science, 2021, 30(7): 58-65.
[5]	HUANG Hui, LIANG Xing, LI Meng-xiang, ZHANG Juan. Research on Decision-making for Joint Distribution of Emergency Materials [J]. Operations Research and Management Science, 2021, 30(6): 48-54.
[6]	YANG Su, LIN Hao-dong. Analysis of the Evolution of Emergency Management of Public Engineering Projects Considering Public Participation [J]. Operations Research and Management Science, 2021, 30(5): 95-101.
[7]	GUAN Xian-jun, ZHOU Han, ZHOU Li-gang, CHEN Hua-you. A Pythagorean Fuzzy Multiple Attribute Group Decision-making Method Based on Shapley Value and its Application [J]. Operations Research and Management Science, 2021, 30(4): 81-86.
[8]	TANG Min, LIU Bin, LI Shi-ming, LI Pu. Network Analysis of Sudden Disaster Emergency Response Partner Relationship Based on Social Network Perspective ——Taking the “6·24” Diexi landslide as an Example [J]. Operations Research and Management Science, 2021, 30(4): 103-108.
[9]	WANG Xin-tian, QIANG Rui, ZHANG Yong. Analysis of Performance for Ambulance Emergency [J]. Operations Research and Management Science, 2021, 30(12): 150-157.
[10]	QI Wen-hui, QI Ming-liang. Study on Public Evacuation Mode of Emergency Planning Zone [J]. Operations Research and Management Science, 2020, 29(9): 43-52.
[11]	ZHANG Qing, YU Miao. Research on Flood Disaster Emergency Management Based on Two-stage Mixed Integer Programming Model [J]. Operations Research and Management Science, 2020, 29(9): 62-69.
[12]	QIAN Li-li, LIU Si-feng, FANG Zhi-geng. Dynamic Adjusting Method for Grey Emergency Decision Based on Regret Theory [J]. Operations Research and Management Science, 2020, 29(8): 73-78.
[13]	YANG Feng, YE Chun-ming, CHONG Da-shuang. Decision Model of Rescue Demand in Urban Emergency Based on Accident Evolution and Its Optimization Solution [J]. Operations Research and Management Science, 2020, 29(8): 79-88.
[14]	LI Rui, SU Qiang, ZHU Yan-hong, WANG Qian. An Improved Model Based on DSM Considering Multi-period Busy Fractionin Ambulance Layout [J]. Operations Research and Management Science, 2020, 29(7): 18-24.
[15]	XU Xuan-hua, LUI Shang-long, CHEN Xiao-hong. Dynamic Adjustment Method of Emergency Decision Scheme for Major Incidents Based on Big Data Analysis of Public Preference [J]. Operations Research and Management Science, 2020, 29(7): 41-51.