考虑需求异常扰动和管理者损失厌恶行为的能力结构投资模型

doi:10.16381/j.cnki.issn1003-207x.2015.11.011

中国管理科学 ›› 2015, Vol. 23 ›› Issue (11): 88-95.doi: 10.16381/j.cnki.issn1003-207x.2015.11.011

考虑需求异常扰动和管理者损失厌恶行为的能力结构投资模型

包兴^1,2

1. 浙江行政学院, 浙江杭州 311121;
2. 浙江省科学发展观与浙江发展研究中心, 浙江杭州 311121

收稿日期:2014-05-27 修回日期:2015-01-04 出版日期:2015-11-20 发布日期:2015-12-01
作者简介:包兴(1981-),男(汉族),浙江金华人,浙江行政学院博士/博士后,副教授,研究方向:应急运作管理、供应链管理等.
基金资助:
国家自然科学基金资助项目(71302033);教育部博士点基金项目(2011332612002);浙江省自然科学基金项目(LQ12G01004)

Investment Model of Capacity Structure with the Consideration of a Sudden Disturbed Demand and a Loss-Aversion Manager

BAO Xing^1,2

1. ZhejiangInstitute of Administration, Hangzhou 311121, China;
2. Zhejiang Scientific Development Research Center, Hangzhou 311121, China

Received:2014-05-27 Revised:2015-01-04 Online:2015-11-20 Published:2015-12-01

摘要/Abstract

摘要： 本文在需求异常扰动的情境下,研究了运作系统专有和柔性能力结构的投资决策模型,并在数理上证明和比较了管理者两种不同风险感知情况下的能力结构比率决策问题。研究表明:在需求异常扰动发生概率、扰动分布参数以及柔性扩张系数影响下,风险中性和存在损失厌恶行为的管理者在柔性能力投资决策上存在明显的差异,依据缺货损失程度采取的补贴或惩罚机制可以改善损失厌恶管理者的柔性能力投资决策偏差。

关键词: 异常扰动, 损失厌恶, 能力结构投资, 柔性

Abstract: Manager seldom shows completely rational when giving investment decision of a certain operation system. In this paper, two types of manger, who are risk-neutral and loss-aversion respectively when deciding an operation system's capacity structure which is a mixture of flexible and dedicated operational capacity are reinvestigated. Furthermore, the investment decision is considered when operation system might face an sudden fluctuated external demand, with a characteristic of drifting-upwards mean and extended/converged variance. A basic and extended newsvendor model is presented to compare the different decision of different managers mentioned above, and mathematic proofs are also presented as well. Results indicated that, under the influence of some critical parameters, which are the probability and distribution parameters of sudden disturbance on demand, the expansion ration of flexible capacity in different scenarios, the investment decision on flexible capacity make by a risk-neutral manager is rather different when compared to a loss-aversion one. Lastly, subsidy or penalty based on the amplitude of underage cost could mitigate the flexible capacity investment decision gap when manager present loss-aversion.

Key words: unexpected disturbance, loss-aversion, investment on capacity structure, flexibility

中图分类号:

F274

包兴. 考虑需求异常扰动和管理者损失厌恶行为的能力结构投资模型[J]. 中国管理科学, 2015, 23(11): 88-95.

BAO Xing. Investment Model of Capacity Structure with the Consideration of a Sudden Disturbed Demand and a Loss-Aversion Manager[J]. Chinese Journal of Management Science, 2015, 23(11): 88-95.

参考文献

[1] Chopra S, Sodhi M S. Managing risk to avoid supply-chain breakdown[J]. MIT Sloan Management Review, 2004, 46(1):53-62.

[2] Hendricks K B, Singhal V R. An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm[J]. Production and Operations Management, 2005, 14(1):35-52.

[3] 包兴.能力共享可降低服务运作系统的应急成本么?基于两种能力支援的应急决策模型研究[J].中国管理科学, 2012, 20(1):123-128.

[4] Gino F, Pisano G. Toward a theory of behavioral operations[J].Manufacturing & Service Operations Management, 2008, 10(4):676-691.

[5] 熊恒庆,黄勇,杨建仁,等.基于风险厌恶的供应链订货时机分析[J].中国管理科学, 2013,21(1):63-70.

[6] Van Mieghem J A. Risk mitigation in newsvendor networks:resource diversification, flexibility, sharing, and hedging[J].Management Science, 2007, 53(8):1269-1288.

[7] Tanrisever F, Morrice D, Morton D. Managing capacity flexibility in make-to-order production environments[J].European Journal of Operational Research, 2012, 216(2):334-345.

[8] Meena P L, Sarmah S P, Sarkar A. Sourcing decisions under risk of catastrophic event disruptions[J].Transportation Research Part E:Logistics and Transportation Review, 2011, 47(6):1058-1074.

[9] Synder L V, Atan Z, Peng P, et al. OR/MS Models for supply chain disruptions:A review[R/OL].[2014-11-19]. http://ssrn.com/abstract=1689882.

[10] Schmitt A J. Strategies for customer service level protection under multi-echelon supply chain disruption risk[J]. Transportation Research Part B:Methodological. 2011, 45(8):1266-1283.

[11] Tomlin B. On the value of mitigation and contingency strategies for managing supply chain disruption risks[J]. Management Science, 2006, 52(5):639-657.

[12] Hu Xinxin, Gurnani H, Wang Ling. Managing risk of supply disruptions:Incentives for capacity restoration[J].Production and Operations Management, 2013, 22(1):137-150.

[13] Kubiak W, Btazewicz J, Formanowisz P, et al. Two-machine flow shops with limited machine availability[J]. European Journal of Operational Research, 2002, 136(3):528-540.

[14] Yang Jian, Qi Xiangtong, Yu Gang. Disruption management in production planning[J]. Naval Research Logistics, 2005, 52(5):420-442.

[15] 王海军,王婧,马士华,等.模糊供求条件下应急物资动态调度决策研究[J].中国管理科学, 2014,22(1):55-64.

[16] Mohebbi E. A production-inventory model with randomly changing environmental conditions[J]. European Journal of Operational Research, 2006, 174(1):539-552.

[17] Van Mieghem J A. Capacity management, investment and hedging:Review and recent developments[J].Manufacturing & Service Operations Management, 2003, 5(4):269-302.

[18] Van Mieghem J A. Commonality strategies:Value drivers and equivalence with flexible capacity and inventorysubstitution[J]. Management Science, 2004, 50(3):419-424.

[19] Malhotr M K, Mackelprang A W. Are internal manufacturing and external supplychain flexibilities complementary capabilities?[J]. Journal of Operations Management, 30(3):180-200.

[20] Van Mieghem J A, Rudi N. Newsvendor networks:Inventory management and capacity investment with discretionary activities[J]. Manufacturing & Service Operations Management, 2002, 4(4):313-335.

[21] Bish E K, Wang Qiong. Optimal investment strategies for flexible resources, considering pricing and correlated demands[J]. Operation Research, 2004, 52(6):954-964.

[22] Netessine S, DobsonG, Shumsky R A. Flexible service capacity:Optimal investment and the impact of demand correlation[J]. Operation Research, 50(2):375-388.

[23] Berge P D, Gerstenfeld A, Zeng A Z.How many suppliers are best? A Decision-analysis approach[J]. Omega, 2004, 32(1):9-15.

[24] Wang C X, Webster S. The loss-averse newsvendor problem[J]. Omega, 2009, 37(1):93-105.

[25] Cachon G P, Terwiesch C. Matching supply with demand[M]. Boston, MA:Irwin MacGraw-Hill, 2006.

[26] De Giorgi E G, Post T. Loss aversion with a state-dependent reference point[J]. Management Science, 2011, 57(6):1094-1110.

考虑需求异常扰动和管理者损失厌恶行为的能力结构投资模型

Investment Model of Capacity Structure with the Consideration of a Sudden Disturbed Demand and a Loss-Aversion Manager

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