Quality evaluation level decision in outsourcing under asymmetric information

Cuihua Zhang , Haibin Yu , Guangshu Chang

Journal of Systems Science and Systems Engineering ›› 2006, Vol. 15 ›› Issue (3) : 375 -381.

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Journal of Systems Science and Systems Engineering ›› 2006, Vol. 15 ›› Issue (3) : 375 -381. DOI: 10.1007/s11518-006-5016-4
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Quality evaluation level decision in outsourcing under asymmetric information

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Abstract

In this paper, the issue of quality evaluation level decision problem in outsourcing is studied under different information backgrounds. Based on the quality contracting optimization models of Stanley and others, a principal agent model concerned with quality prevention level and evaluation level is set up with regards to buyer as principal and supplier as agent. In the models, quality prevention level is a variable decided by the supplier, quality evaluation level and transfer payment are variables decided by the buyer. We focus on the study of quality evaluation level and transfer payment decision in outsourcing under asymmetric information. Maximal principle is used to get the solution to quality evaluation level when supplier quality prevention level information is hidden. At last simulation calculation is performed concerned with tractor production outsourcing business of an agricultural machine company. Simulation results under different information backgrounds are analyzed and compared.

Keywords

Outsourcing / asymmetric information / principal agent / maximal principle / quality evaluation

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Cuihua Zhang, Haibin Yu, Guangshu Chang. Quality evaluation level decision in outsourcing under asymmetric information. Journal of Systems Science and Systems Engineering, 2006, 15(3): 375-381 DOI:10.1007/s11518-006-5016-4

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References

[1]

Barucci E., Gozz F., Swiech A.. Incentive compatibility constraints and dynamic programming in continuous time. Journal of Mathematical Economics, 2000, 34(4): 471-508.

[2]

Cheng T.. EPQ with process capability and quality assurance considerations. Journal of Operational Research Society, 1991, 32(1): 713-720.

[3]

Gauder G., Pierre L., Long I.V.. Real investment decisions under adjustment costs and asymmetric information. Journal of Economic Dynamics and Control, 1998, 23(1): 71-95.

[4]

Gorbet C., Groote A.. A supplier’s optimal quantity discount policy under asymmetric information. Management Science, 2000, 46(3): 445-450.

[5]

Persson F., Olhager J.. Performance simulation of supply chain design. International Journal of Production Economics, 2002, 77(3): 231-245.

[6]

Reyniers D., Tapiero C.. The delivery and control of quality in supplier-producer contracts. Management Science, 1995, 41(1): 1581-1589.

[7]

Starbird S.. The effect of acceptance sampling and risk aversion on the quality delivered by suppliers. Journal of Operational Research Society, 1994, 45(2): 309-320.

[8]

Starbird S.. Acceptance sampling, imperfect production, and the optimality of zero defects. Naval Research Logistics, 1997, 44(1): 515-530.

[9]

Stanley B., Madhav P.E.V.. Contracting, and quality costs. Management Science, 2000, 46(6): 776-789.

[10]

Stanley B., Madhav P.E.V.. Performance measurement and design in supply chains. Management Science, 2001, 47(1): 173-188.

[11]

Starbird S.. Penalties, rewards, and inspection: provisions for quality in supply chain contracts. Journal of the Operational Research Society, 2001, 52(1): 109-115.

[12]

Wu C.F.. Optimal Control Theory and Method, 2000, Beijing: Defense Industry Publishing House

[13]

Yeom S., Balachandran K., Ronen J.. The role of transfer price for coordination and control within a firm. Review of Quantitative Finance and Accounting, 2000, 14(2): 161-192.

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