Pricing decisions in a dual-channel green supply chain with product customization

Wang, Jian; Jiang, Huijuan; Yu, Ming L.

doi:10.1016/j.jclepro.2019.119101

Cited by 53 publications

(22 citation statements)

References 39 publications

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“…Stackelberg game models were formulated by Wan and Hong [46] to analyze the optimal pricing and recycling policies for the CLSC with a retailer and dual collection channel to develop a coordination contract that would eliminate the channel conflict, resulting in an optimal retail price, optimal wholesale price, optimal collection rates, and optimal transfer prices. Wang et al [47] studied the dual-channel CLSC with product customization through direct retail channels. Three pricing models were presented to analyze the optimal decisions of supply chain members using game theory.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce

et al. 2020

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The depletion of natural resources and the degradation of the ecosystem have led many countries to adopt closed-loop supply activities in both their industrial and service sectors. With the widespread use of Internet technology, these aspects motivate the incorporation of e-commerce with the classical closed-loop supply chain. This study suggests a novel mixed-integer linear programming (MILP) model that addresses the integration of e-commerce with a multi-echelon closed-loop supply chain with a multi-period planning time horizon by considering dual channels in manufacturing, and recovery facilities. To validate the model, we obtain optimal decision variables and examine the robustness and applicability of the model, and comprehensive computational experiments are performed. Moreover, sensitivity analysis is carried out to illustrate the efficacy of e-commerce integration by considering the two channels in the closed-loop supply chain. Accordingly, the total cost of the dual-channel CLSC decreases with an increase in customer demand via online retailers, the returned end of life (EOL) products, recycling ratio, and recovery ratio. Some useful managerial implications are provided based on the conducted analysis.

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Section: Literature Reviewmentioning

confidence: 99%

Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce

et al. 2020

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“…Wang and Li [36] presented an integer linear programming model for the design of reverse logistics networks, in which repair and reconstruction options were considered simultaneously. Considering risk as fuzzy was one of the innovations of their research.…”

Section: Green Closed-loop Supply Chainmentioning

confidence: 99%

“…Relations (29) to (36) ensure that the flow is only between points in which a facility has been established and that the total flow in each facility does not exceed its capacity.…”

Section: 1 Risk Modelingmentioning

confidence: 99%

Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

Sajedi

Sarfaraz

Bamdad

et al. 2020

IJE

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“…The authors of [46] looked at joint pricing and greening decision in a DCSC using a robust probabilistic approach. The authors of [47] investigated product customization in a DCSC with greening consideration. The authors of [48] explored contracts in a DCSC for a socially responsible manufacturer.…”

Section: Dual-channel Supply Chainmentioning

confidence: 99%

Price Differentiation and Inventory Decisions in a Socially Responsible Dual-Channel Supply Chain with Partial Information Stochastic Demand and Cannibalization

Raza

2020

Sustainability

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Corporate social responsibility (CSR) has received much of the attention in supply chain management, in particular the pricing decisions. Most existing models that enable CSR integration into pricing decisions in a supply chain context assume deterministic demand and focus on a single distribution channel. Despite the fact that dual-channel supply chain (DCSC) has received popularity, most pricing decisions models in DCSC assume fixed and deterministic market share distribution between channels, and no demand leakages (cannibalization). This paper addresses these gaps by proposing a CSR enabled DCSC model pricing in which the demand is considered to be stochastic and market share distribution between channels in DCSC is optimally determined using a differentiation price, and the impact of demand leakages is also taken into consideration. Unlike existing studies, which only enable pricing decisions due to deterministic demand consideration, comprehensive DCSC models are proposed that provide joint decisions framework on CSR investment, pricing, and inventories. We have also considered the extension of the demand scenario when the distribution of demand is unknown. The two most common coordination schemes, the centralized (integrated) and the decentralized coordination is explored for the three demand situations: (i) deterministic demand; (ii) stochastic with full information; and (iii) stochastic with partial information. We are able to find analytical (closed-form) solutions for most demand situations. The centralized coordination performed better compared to the decentralized for all demand scenarios. The models are benchmarked when the demand is stochastic with known and unknown distributions, as well as, the case of the deterministic demand. A detailed numerical analysis is also presented in order to study the impact of using the price differentiation for market segmentation, the demand leakage, and partial knowledge on the stochastic demand on the players’ decisions and revenues in the supply chain.

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Pricing decisions in a dual-channel green supply chain with product customization

Cited by 53 publications

References 39 publications

Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce

Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce

Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

Price Differentiation and Inventory Decisions in a Socially Responsible Dual-Channel Supply Chain with Partial Information Stochastic Demand and Cannibalization

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