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A game theoretic model for coordination of single manufacturer and multiple suppliers with quality variations under uncertain demands

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TLDR
In this paper, a game theoretic model for supply chain coordination problem is studied, where the number of defective parts purchased from suppliers is unknown to the manufacturer while each supplier can determine the standard deviation of defective items.
Abstract
In this paper, a game theoretic model for supply chain coordination problem is studied. The supply chain coordination problem involves one manufacturer and multi-suppliers with quality variations under demand uncertainty. The number of defective parts purchased from suppliers is unknown to the manufacturer while each supplier can determine the standard deviation of defective items. The relationship between the manufacturer and the suppliers is modelled by a non-cooperative game. The non-cooperative game model is analysed by the Stackelberg equilibrium where the manufacturer is regarded as a leader and the suppliers as followers. By deriving suppliers’ best response functions, the Stackelberg equilibrium under uncertainties is established. Sensitivity analysis is conducted to investigate the features of the proposed models with cost parameters. The results validate the derived managerial insights derived for the proposed model.

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References
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Journal ArticleDOI

Global supply chain design: A literature review and critique

TL;DR: It is concluded that although most models resolve a difficult feature associated with globalization, few models address the practical global supply chain design problem in its entirety.
Journal ArticleDOI

Implementing coordination contracts in a manufacturer Stackelberg dual-channel supply chain

TL;DR: In this paper, the authors examine a manufacturer's pricing strategies in a dual-channel supply chain, in which the manufacturer is a Stackelberg leader and the retailer is a follower.
Journal ArticleDOI

A stochastic model for risk management in global supply chain networks

TL;DR: This paper presents a stochastic model of the multi-stage global supply chain network problem, incorporating a set of related risks, namely, supply, demand, exchange, and disruption, and provides a new solution methodology using the Moreau–Yosida regularization.
Journal ArticleDOI

Optimal production planning for a multi-product closed loop system with uncertain demand and return

TL;DR: A mathematical model is presented and a Lagrangian relaxation based approach is developed to solve the production planning problem for a multi-product closed loop system, in which the manufacturer has two channels for supplying products.
Journal ArticleDOI

A production-inventory model of imperfect quality products in a three-layer supply chain

TL;DR: An integrated production-inventory model is presented for supplier, manufacturer and retailer supply chain, considering perfect and imperfect quality items, and an analytical method is employed to optimize the production rate and raw material order size for maximum expected average profit.
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