Supply chain coordination for fuzzy random newsboy problem with imperfect quality

Hu, Jinsong; Zheng, Hui; Xu, Ruqian; Ji, Ya-Ping; Guo, Caiyun

doi:10.1016/j.ijar.2010.04.002

Cited by 32 publications

(4 citation statements)

References 24 publications

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“…Different from the work of Zhu et al (2007), Chao et al (2009) looked at a setting where the manufacturer is involved in the production process and how its effort affects the final quality of the product and discussed two new cost-sharing contracts to coordinate the supply chain. Hu et al (2010) investigated the supply chain coordination for fuzzy random newsboy problem with imperfect quality, and their results showed that manufacturer's repurchase strategy can improve the total supply chain profit. Xiao et al (2011) developed a game theoretic model to explore how the manufacturer coordinates the supply chain with a quality assurance policy via a revenue-sharing contract.…”

Section: Introductionmentioning

confidence: 99%

Supply chain quality and pricing decisions under multi-manufacturer competition

Pang

Tan

2018

IMDS

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Purpose In today’s global competition, supply chain quality management is the key to a firms’ competitiveness. However, managers find that making sound quality and pricing decisions under a complex multi-echelon in the current competitive electronic commerce environment is daunting and challenging. The purpose of this paper is to examine the optimum quality strategies under different cooperative mechanisms and investigate its effects on channel members’ profits. Design/methodology/approach This paper is a result of a China-UK collaborative research effort, involving researchers with expertise in information systems, quality management, supply chain management, pricing, and game theory models. The authors consider the quality decisions of a single product in a supply chain system that consists of a supplier and two competing manufacturers. The authors examine the optimum quality strategies under different cooperative mechanisms and investigate its effects on channel members’ profits. A modified Nerlove-Arrow model is employed to investigate the quality levels on goodwill and product sales. Findings The results reveal that the traditional cooperative program is not very effective in the horizontal competitive market; and each channel member may have a profit improvement when the supplier integrates with a manufacturer. Originality/value The authors believe that this paper will contribute to the existing body of knowledge. Moreover, the paper provides insights for managers to better manage their supply chain quality management in an information-centric context.

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Section: Introductionmentioning

confidence: 99%

Supply chain quality and pricing decisions under multi-manufacturer competition

Pang

Tan

2018

IMDS

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“…Independent decisions characterizing decentralized planning benefit some parties of the SC, while the aligned decisions benefit all parties and maximize the profits ((Cárdenas-Barrón & Treviño-Garza 2014), (Cárdenas-Barrón et al, 2012). To ensure good coordination, one approach is the implementation of centralized decision-making ((Hu et al 2010), (Kumar et al, 2014)). Li & Wang (2007) provided a review of coordination mechanisms of SC systems based on the demand nature and the SC decision structure.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimisation model for cooperative supply chain planning

Yahia

Cheikhrouhou

Ayadi

et al. 2017

IJSOM

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Generally, each member of a supply chain (SC) optimizes his own individual objective and accordingly, plans his activities (e.g. production operations, inventories) without considering a global perspective. The goal of this work is the development of a multiobjective optimization model for cooperative planning between different manufacturing plants belonging to the same SC. The model aims at minimizing simultaneously the total production cost and the average of inventory level for several items and over a multi-period horizon. To solve this problem, a non-dominated sorting elitist genetic algorithm (NSGA-II) is developed to derive the Pareto front solutions. Several tests are developed to show the performance of the solution method and the behavior of the cooperative planning model with respect to different demand patterns. The proposed model shows high performance in the tested cases with comparison to the literature.

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“…Hu et al [16] presented fuzzy random models for the newsboy problem in the decentralized and centralized systems facing imperfect quality and the optimal policies for the systems analyzed and derived.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model

Sahoo

Dash

2016

Advances in Fuzzy Systems

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A method is proposed for solving single-period inventory fuzzy probabilistic model (SPIFPM) with fuzzy demand and fuzzy storage space under a chance constraint. Our objective is to maximize the total profit for both overstock and understock situations, where the demandD~jfor each productjin the objective function is considered as a fuzzy random variable (FRV) and with the available storage space areaW~, which is also a FRV under normal distribution and exponential distribution. Initially we used the weighted sum method to consider both overstock and understock situations. Then the fuzziness of the model is removed by ranking function method and the randomness of the model is removed by chance constrained programming problem, which is a deterministic nonlinear programming problem (NLPP) model. Finally this NLPP is solved by using LINGO software. To validate and to demonstrate the results of the proposed model, numerical examples are given.

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Supply chain coordination for fuzzy random newsboy problem with imperfect quality

Cited by 32 publications

References 24 publications

Supply chain quality and pricing decisions under multi-manufacturer competition

Supply chain quality and pricing decisions under multi-manufacturer competition

A multi-objective optimisation model for cooperative supply chain planning

A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model

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