scholarly journals Decision-making for Green Supply Chain Considering Fairness Concern Based on Trade Credit

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Haoxiong Yang ◽  
Enlu Shao ◽  
Yuanyuan Gong ◽  
Xiaolin Guan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Trade Credit ◽  
Green Supply Chain ◽  
Fairness Concern

Revenue Sharing Contract of Green Supply Chain under Manufacturer Risk-Aversion

2014 ◽  
Vol 697 ◽  
pp. 482-487
Author(s):  
Shi Ying Jiang ◽  
Chun Yan Ma
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Risk Aversion ◽  
Stackelberg Game ◽  
Wholesale Price ◽  
Revenue Sharing ◽  
Green Supply Chain ◽  
Game Model ◽  
Product Price ◽  
Revenue Sharing Contract

Background on two stages green supply chain consisting of a manufacturer and a retailer, considering the degree of risk aversion and product greenness, consumer preferences and other factors, the centralized decision-making game model and manufacturer-leading Stackelberg game model are established.Then two game models are compared. The interaction of product greenness, wholesale price, product price,and risk aversion utility for manufacturers and retailers are also disscussed. Finally, the revenue sharing contract is applied to coordinate the green supply chain . The results show that:(1) In the centralized decision-making model, there is a critical value of the product green degree; (2)In manufacturer-leading Stackelberg game model, the higher the green degree of the product, the higher the manufacturer's wholesale price,and the wholesale price increases as risk aversion degree of manufacturers improves;(3)The revenue sharing contract can coordinate this type of green supply chain under manufacturers risk-averse.

scholarly journals An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

2019 ◽  
Vol 11 (7) ◽  
pp. 1872 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Prospect Theory ◽  
Palm Oil ◽  
Supplier Selection ◽  
Large Scale ◽  
Oil Products ◽  
Green Supply Chain ◽  
Fuzzy Decision Making ◽  
Green Supplier Selection

Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

scholarly journals A Green Supply-Chain Decision Model for Energy-Saving Products That Accounts for Government Subsidies

2019 ◽  
Vol 11 (8) ◽  
pp. 2209 ◽  
Author(s):  
Jian Xue ◽  
Ruifeng Gong ◽  
Laijun Zhao ◽  
Xiaoqing Ji ◽  
Yan Xu
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Supply Chain ◽  
Energy Conservation ◽  
Social Welfare ◽  
Energy Saving ◽  
Revenue Sharing ◽  
Green Supply Chain ◽  
Market Demand ◽  
Government Subsidies

Government subsidies are a common policy adopted to promote energy conservation and emission reduction. The decision-making that occurs within the green supply chain for energy-saving products under government subsidies is an area of great academic interest and game theory is becoming a popular tool in such research. In this paper, we examined centralized and decentralized decision-making models for the green supply chain and a coordinated decision-making model for revenue-sharing contracts based on game theory. We studied the effects of government subsidies on retail prices, energy conservation levels, market demand, supply chain profits, and social welfare for energy-saving products. We then compared the effectiveness of the three models using a numerical example. Our results revealed the range of contract parameters for which manufacturer and retailer profits increase. Our results show that government subsidies can significantly improve social welfare and promote the improvement of energy-saving products. Centralized decision-making generates higher profits than decentralized decisions and government subsidies were positively correlated with the level of energy conservation, product prices, and market demand. Revenue sharing contract coordination decisions can coordinate the supply chain and achieve the same effect as centralized decisions.

Study on the Cooperation Decision-Making Model in Integrated Green Supply Chain for Industrial Wastes Reusing Considerations

2011 ◽  
Vol 361-363 ◽  
pp. 1397-1401 ◽  
Author(s):  
Hai Yan Li ◽  
Bin Dan ◽  
Kai Rao ◽  
Hong Zhao
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Main Product ◽  
Supply And Demand ◽  
Industrial Wastes ◽  
Green Supply Chain ◽  
Joint Decision ◽  
Cooperation Scope ◽  
Product Output ◽  
Decision Making Model

Difference from traditional green single supply chain, this paper discusses a multiple supply chains cooperation model with the consideration of production wastes reusing, integrated green supply chain. We establish the uncooperative dynamic game model and the joint decision-making model. The different waste supply and demand quantificational conditions and the output and price strategy of product under the above condition are given. Especially, through comparing the joint decision-making with the independent decision-making, the following are suggested: When waste supply is far less than demand, the cooperation scope of system profit and main product output do not exist; When waste supply is far greater than demand, the cooperation scope of main product output of upstream supply chain is the maximum, and the cooperation scope of system profit is much bigger; When waste supply is roughly matchable to demand, the cooperation scope of system profit and product output of upstream supply chain are the largest.

Environmental sustainability of logistics service provider: an ANP-QFD approach

2015 ◽  
Vol 26 (2) ◽  
pp. 313-333 ◽  
Author(s):  
Jasmine Siu Lee Lam ◽  
Jing Dai
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Environmental Sustainability ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainability Performance ◽  
Logistics Service

Purpose – The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their environmental sustainability performance in the context of green supply chain management. Design/methodology/approach – An integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD) is proposed to develop LSPs’ environmental sustainability performance. In the approach, QFD is used to translate customer requirements (CRs) for “green” concerns into multiple criteria for LSP’s design requirements (DRs). ANP is used to analyze the inter-relationships among the various CRs and DRs. Findings – The effectiveness of the proposed approach is demonstrated by applying it to a global LSP. A case study shows how the proposed “ANP-QFD” technique can be deployed to understand customers’ expectation for environment management and develop tactics and measures with the aim to achieve the desirable outcome for LSPs’ environmental sustainability performance. Practical implications – Firms that emphasize sustainability as a competitive priority will benefit by communicating sustainability efforts to customers. Therefore, “ANP-QFD” is an integrative method which helps develop LSPs’ environmental sustainability performance by enabling logistics managers incorporate the “voice” of customers for environmental concerns into their decision-making process. The study demonstrates how to develop LSPs to be greener in order to realize the requirements of green supply chains. The proposed integrated approach can also be applied in other decision-making scenarios for effective green supply chain management. Originality/value – Various approaches that can deal with multiple and conflicting criteria have been adopted for LSP assessment in the literature. However, they fail to include the impact of business objectives and the requirements of company stakeholders (customer in this study) in the identification of performance criteria for LSP. They also did not incorporate the environmental sustainability perspective. This paper contributes to the emerging research topic of environmental sustainability in logistics and supply chains by tackling these inadequacies in the literature. The study facilitates LSPs and the supply chains they serve in achieving better economic and environmental performance, thus leading to truly sustainable outcomes.

scholarly journals The Green Product’s Pricing Strategy in a Dual Channel considering Manufacturer’s Risk Attitude

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Junjie Ma ◽  
Wenchao Yu ◽  
Shuxia Li ◽  
Linghong Zhang ◽  
Shaobin Zang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Negative Impact ◽  
Environmental Awareness ◽  
Risk Attitude ◽  
Pricing Strategy ◽  
Green Supply Chain ◽  
Demand Forecast ◽  
Numerical Examples ◽  
Dual Channel

This paper develops a two-echelon green supply chain that consists of one green manufacturer and one retailer. The green manufacturer has both online direct and offline retail channels. Considering manufacturer’s risk attitude and product’s green level, the paper constructs centralized and decentralized game models when the online channel’s demand is uncertain. Furthermore, this paper analyzes the impacts of a set of factors, including consumer environmental awareness (CEA), product green level, and risk attitude on decision-making in the supply chain. Finally, we present numerical examples. The main findings are as follows: the manufacturer and the retailer will benefit from the improvement of CEA; hence, they could invest more to obtain more profits by improving CEA; manufacturer’s risk attitude has a negative impact on the pricing and profits of the supply chain; as such, the members of the supply chain should improve the accuracy of their demand forecast, so as to minimize risks and losses resulting from uncertainty in demand.

scholarly journals Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Liyan Wang ◽  
Minghai Ye ◽  
Shanshan Ma ◽  
Yipeng Sha
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Numerical Analysis ◽  
Random Variable ◽  
Retail Price ◽  
Green Supply Chain ◽  
Green Product ◽  
Risk Averse ◽  
Coordination Strategy ◽  
Optimal Decisions

This paper addresses the pricing and coordination strategy in a green supply chain in which a manufacturer produces a green product and sells it to a risk-averse retailer. The product’s demand is a random variable influenced by the green level and the retail price. The problem is modeled in three different structures, a centralized and two decentralized models, in which the upstream manufacturer and the downstream retailer act as the channel leader, respectively. This paper presents the optimal decisions for all supply chain members, analyzes the effects of green degree and risk-averse coefficient on the supply chain members’ decision-making and their profits, and performs the numerical analysis. The results show that the green degree and the whole supply chain’s expected profits are highest in the centralized scenario, followed by the retailer-led scenario, and lowest under the manufacturer-led scenario; the green degree and the manufacturer’s expected profit increase with the risk-averse coefficient, no matter who dominates the channel; however, the risk-averse coefficient’s effects on the retailer’s expected utility and the retail price depends on who dominates the channel and on the greening investment parameter.

Establishment of Green Supply Chain Management in Steel Industries Using Interpretive Structural Modeling

2019 ◽  
Vol 18 (4) ◽  
pp. 363-374
Author(s):  
Rajesh Kumar ◽  
Shiena Shekhar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Modeling ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Multi Criteria Decision Making ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Steel Industries

Abstract The state of Chhattisgarh in India has a very large number of steel plants causing pollution in the region. The effect of this pollution exceeds the geographical territory of a unit, and goes much beyond it, so it becomes essential to find the reasons for the pollution and the enablers for the green supply chain management, which in turn will help in providing a cleaner environment. In this study Multi-Criteria Decision Making (MCDM) tools like Interpretive Structural Modeling and MICMAC analysis have been used.

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