Pharmaceutical supply chain networks with outsourcing under price and quality competition

被引:35
|
作者
Nagurney, Anna [1 ,2 ]
Li, Dong [1 ]
Nagurney, Ladimer S. [3 ]
机构
[1] Univ Massachusetts, Isenberg Sch Management, Dept Operat & Informat Management, Amherst, MA 01003 USA
[2] Univ Gothenburg, Sch Business Econ & Law, Gothenburg, Sweden
[3] Univ Hartford, Dept Elect & Comp Engn, Hartford, CT 06117 USA
基金
美国国家科学基金会;
关键词
outsourcing; pharmaceutical products; healthcare; supply chains; supply chain networks; quality; competition; game theory; variational inequalities; dynamical systems; DYNAMICAL-SYSTEMS; COST; STABILITY; BEHAVIOR; MARKET; LEMONS; RISKS; MODEL;
D O I
10.1111/itor.12031
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we present a pharmaceutical supply chain network model with outsourcing under price and quality competition, in both equilibrium and dynamic versions. We consider a pharmaceutical firm that is engaged in determining the optimal pharmaceutical flows associated with its supply chain network activities in the form of manufacturing and distribution. In addition to multimarket demand satisfaction, the pharmaceutical firm seeks to minimize its total cost, with the associated function also capturing the firm's weighted disrepute cost caused by possible quality issues associated with the contractors. Simultaneously, the contractors, who compete with one another noncooperatively in prices in the manner of Bertrand, and in quality, seek to secure manufacturing and distribution of the pharmaceutical product from the pharmaceutical firm. This game theory model allows for the determination of the optimal pharmaceutical product flows associated with the supply chain in-house and outsourcing network activities and provides the pharmaceutical firm with its optimal make-or-buy decisions and the optimal contractor selections. We state the governing equilibrium conditions and derive the equivalent variational inequality formulation. We then propose dynamic adjustment processes for the evolution of the product flows, the quality levels, and the prices, along with stability analysis results. The algorithm yields a discretization of the continuous-time adjustment processes. We present convergence results and compute solutions to numerical examples to illustrate the generality and applicability of the framework.
引用
收藏
页码:859 / 888
页数:30
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