Coordinated Pricing and Production/Procurement Decisions: A Review

Yano, Candace Arai; Gilbert, Stephen M.

doi:10.1007/0-387-25002-6_3

Cited by 139 publications

(87 citation statements)

References 122 publications

(101 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in reality the retail price often varies by market and is usually an important decision variable of the retailer. Over the years, there has been a growing interest in studying the contract models which are based on the framework of price-sensitive and random demand (see [6,7] for a good review). Following this stream of research, in this paper we consider endogenous retail price in a single-period supply chain and study the decisions and performance of the supply chain with a buy-back contract.…”

Section: Introductionmentioning

confidence: 99%

Optimal Decisions in a Single-Period Supply Chain with Price-Sensitive Random Demand under a Buy-Back Contract

Wang

Choi

2014

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper studies a single-period supply chain with a buy-back contract under a Stackelberg game model, in which the supplier (leader) decides on the wholesale price, and the retailer (follower) responds to determine the retail price and the order quantity. We analytically investigate the decentralized retailer's optimal decision. Our results demonstrate that the retailer has a unique optimal simultaneous decision on the retail price and the order quantity, under a mild restriction on the demand distribution. Moreover, as it can be shown that the decentralized supply chain facing price-sensitive random demand cannot be coordinated with buy-back contract, we propose a scheme for the system to achieve Pareto-improvement. Theoretical analysis suggests that there exists a unique Pareto-equilibrium for the supply chain. In particular, when the Pareto-equilibrium is reached, the supply chain is coordinated. Numerical experiments confirm our results.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimal Decisions in a Single-Period Supply Chain with Price-Sensitive Random Demand under a Buy-Back Contract

Wang

Choi

2014

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…However, considering the aspect of the total optimization of a GSC, it is desirable to shift to the optimal operation in IGSC from that in DGSC. To achieve the shift, a variety of supply chain coordination approaches between all members which increase profits of all members in the integrated supply chain, have been discussed in the following papers and some overviews: Tsay et al (1999), Cachon and Netessine (2004), Yano and Gilbert (2004), Nagarajan and Sosic (2008), Hu et al (2011), Yan andSun (2012) and Govindan et al (2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Mean-Variance Analysis for Optimal Operation and Supply Chain Coordination in a Green Supply Chain

Yamaguchi¹,

Goto²,

Kusukawa³

2017

Industrial Engineering and Management Systems

View full text Add to dashboard Cite

It is urgently-needed to construct a green supply chain (GSC) from collection of used products through recycling of them to sales of products using the recycled parts. Besides, it is necessary to consider the uncertainty in product demand as a risk in a GSC. This study proposes the optimal operations for a GSC with a retailer and a manufacturer. A retailer pays an incentive for collection of used products from customers and sells a single type of products in a market. A manufacturer produces the products ordered by the retailer, using recyclable parts with acceptable quality and compensates the collection cost of used products as to the recycled parts. This paper discusses the following risk attitudes: risk-neutral attitude, risk-averse attitude, and risk-prone attitude. Using mean-variance analysis, the optimal decisions for product order quantity, collection incentive, and lower limit of quality level, in the decentralized GSC (DGSC) and the integrated GSC (IGSC) are made. DGSC optimizes the utility function of each member. IGSC does that of the whole system. The analysis numerically investigates how (i) risk attitude and (ii) quality of recyclable parts affect the optimal operations. Supply chain coordination between GSC members to shift IGSC from DGSC is discussed.

show abstract

“…This, in turn, affects the coordinating ability of the contract between the retailer and its supplier. Yano and Gilbert (2005) and Chan et al (2004) review the literature on supply chain contracts with price sensitive market demands. When the market demand is affected by the marketing effort of downstream agent -which is unverifiable by the chain -a coordinating contract should induce the supply chain's optimal level of marketing effort.…”

Section: Supply Chain Environmentmentioning

confidence: 99%

Coordinating Contracts in SCM: A Review of Methods and Literature

Hezarkhani

Kubiak

2010

dmms

View full text Add to dashboard Cite

Abstract. Supply chain coordination through contracts has been a burgeoning area of research in recent years. In spite of rapid development of research, there are only a few structured analyses of assumptions, methods, and applicability of insights in this field. The aim of this paper is to provide a systematic overview of coordinating contracts in supply chain through highlighting the main concepts, assumptions, methods, and present the state-of-theart research in this field.

show abstract

Coordinated Pricing and Production/Procurement Decisions: A Review

Cited by 139 publications

References 122 publications

Optimal Decisions in a Single-Period Supply Chain with Price-Sensitive Random Demand under a Buy-Back Contract

Optimal Decisions in a Single-Period Supply Chain with Price-Sensitive Random Demand under a Buy-Back Contract

Mean-Variance Analysis for Optimal Operation and Supply Chain Coordination in a Green Supply Chain

Coordinating Contracts in SCM: A Review of Methods and Literature

Contact Info

Product

Resources

About