Multitiered Supply Chain Networks: Multicriteria Decision—Making Under Uncertainty
In this paper, we present a supply chain network model with multiple tiers of decision-makers, consisting, respectively, of manufacturers, distributors, and retailers, who can compete within a tier but may cooperate between tiers. We consider multicriteria decision-making for both the manufacturers...
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Published in | Annals of operations research Vol. 135; no. 1; pp. 155 - 178 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer Nature B.V
01.03.2005
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Online Access | Get full text |
ISSN | 0254-5330 1572-9338 |
DOI | 10.1007/s10479-005-6239-3 |
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Abstract | In this paper, we present a supply chain network model with multiple tiers of decision-makers, consisting, respectively, of manufacturers, distributors, and retailers, who can compete within a tier but may cooperate between tiers. We consider multicriteria decision-making for both the manufacturers and the distributors whereas the retailers are subject to decision-making under uncertainty since the demands associated with the product are random. We derive the optimality conditions for the decision-makers, establish the equilibrium conditions, and derive the variational inequality formulation. We then utilize the variational inequality formulation to provide both qualitative properties of the equilibrium product shipment, service level, and price pattern and to propose a computational procedure, along with convergence results. This is the first supply chain network model to capture both multicriteria decision-making and decision-making under uncertainty in an integrated equilibrium framework. [PUBLICATION ABSTRACT] |
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AbstractList | In this paper, we present a supply chain network model with multiple tiers of decision-makers, consisting, respectively, of manufacturers, distributors, and retailers, who can compete within a tier but may cooperate between tiers. We consider multicriteria decision-making for both the manufacturers and the distributors whereas the retailers are subject to decision-making under uncertainty since the demands associated with the product are random. We derive the optimality conditions for the decision-makers, establish the equilibrium conditions, and derive the variational inequality formulation. We then utilize the variational inequality formulation to provide both qualitative properties of the equilibrium product shipment, service level, and price pattern and to propose a computational procedure, along with convergence results. This is the first supply chain network model to capture both multicriteria decision-making and decision-making under uncertainty in an integrated equilibrium framework. [PUBLICATION ABSTRACT] |
Author | Zhang, Ding Nagurney, Anna Dong, June Yan, Hong |
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Cites_doi | 10.1287/trsc.27.1.4 10.1073/pnas.36.1.48 10.1016/S0925-5273(98)00079-6 10.1017/CBO9781139174084 10.1016/S0377-2217(03)00023-7 10.1007/978-1-4684-9309-2 10.1080/02331939608844183 10.1108/02635570110386625 10.1016/S1366-5545(01)00020-5 10.1287/opre.49.5.646.10603 10.1287/moor.11.2.193 10.2307/1969529 10.1016/0377-2217(94)00354-F 10.1023/A:1021213420802 10.1016/0166-0462(87)90048-2 10.1287/opre.45.1.54 10.4337/9781035352425 10.1016/S0377-2217(01)00218-1 10.1007/978-1-4757-3005-0 10.21236/AD0708563 10.1007/978-3-662-03956-4 10.1287/opre.41.5.835 10.1287/opre.45.3.407 |
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SubjectTerms | Competition Decision making Demand curves Distributors Equilibrium Inequality Information sharing Inventory Manufacturers Multiple criteria decision making Operations management Operations research Production capacity Profit maximization Profits Retailing Studies Supply chain management Supply chains Uncertainty |
Title | Multitiered Supply Chain Networks: Multicriteria Decision—Making Under Uncertainty |
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