Optimal Decision-Making of Low-Carbon Supply Chain Incorporating Fairness Concerns

2019 ◽  
Vol 7 (3) ◽  
pp. 283-294 ◽  
Author(s):  
Guangxing Wei ◽  
Yanling Yao ◽  
Yanhong Qin
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Retail Price ◽  
Optimal Decision ◽  
Low Carbon ◽  
Carbon Supply ◽  
Fairness Concerns ◽  
Optimal Decision Making ◽  
Fairness Concern

Abstract The optimal decision-making of the low-carbon supply chain incorporating fairness concerns, such as the effort of reducing carbon emissions, the whole sale price and retail price, is analyzed by taking the Nash bargaining solution as the fairness reference point. The following conclusions are found. Firstly, the wholesale price is strongly influenced by the fairness concern of the manufacturer but weakly influenced by that of the retailer, although both statistically significantly. Secondly, both the manufacturer’s and retailer’s fairness concerns reduce carbon emissions dramatically to nearly the same extent. Thirdly, the effect of the manufacturer’s fairness concern on the retail price is so tiny that it can almost be ignored, while the retailer’s fairness concern changes the retail price remarkably.

scholarly journals Research of Dual-channel Supply Chain Decision with Consideration of Low-carbon and Fairness Concerns

2021 ◽  
Vol 275 ◽  
pp. 02062
Author(s):  
Guoshuai Niu ◽  
Qi Wei
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Single Channel ◽  
Optimal Decision ◽  
Chain Model ◽  
Low Carbon ◽  
Carbon Supply ◽  
Fairness Concerns ◽  
Fairness Concern ◽  
Double Channel

With in-depth implementation of policies on energy conservation and emission reduction and rising of low-carbon production practice in enterprises, low-carbon supply chain has gradually become a research issue which causes extensive attentions from scholars. However, most existing researches focus on supply chain decision and coordination under the background of single channel or mere consideration of fairness concerns of retailers. Therefore, the fairness concerns of manufacturers were taken into account in the double-channel low-carbon supply chain. A double-channel low-carbon supply chain model was constructed to research the influence of manufacturers’ fairness concerns to the optimal decision-making of all parties in the supply chain and to the overall performance of supply chain. The research results suggested that: with improvement of manufacturers’ fairness concern coefficient, the decision-making of supply chain members demonstrated different changing strength; the manufacturers’ fairness concern caused harm to overall profit of supply chain.

scholarly journals Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Zheng Liu ◽  
Bin Hu ◽  
Bangtong Huang ◽  
Lingling Lang ◽  
Hangxin Guo ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Smart City ◽  
Carbon Emission ◽  
Low Carbon ◽  
Supply Chain System ◽  
Chain System ◽  
Carbon Supply ◽  
Auto Parts

Affected by the Internet, computer, information technology, etc., building a smart city has become a key task of socialist construction work. The smart city has always regarded green and low-carbon development as one of the goals, and the carbon emissions of the auto parts industry cannot be ignored, so we should carry out energy conservation and emission reduction. With the rapid development of the domestic auto parts industry, the number of car ownership has increased dramatically, producing more and more CO2 and waste. Facing the pressure of resources, energy, and environment, the effective and circular operation of the auto parts supply chain under the low-carbon transformation is not only a great challenge, but also a development opportunity. Under the background of carbon emission, this paper establishes a decision-making optimization model of the low-carbon supply chain of auto parts based on carbon emission responsibility sharing and resource sharing. This paper analyzes the optimal decision-making behavior and interaction of suppliers, producers, physical retailers, online retailers, demand markets, and recyclers in the auto parts industry, constructs the economic and environmental objective functions of low-carbon supply chain management, applies variational inequality to analyze the optimal conditions of the whole low-carbon supply chain system, and finally carries out simulation calculation. The research shows that the upstream and downstream auto parts enterprises based on low-carbon competition and cooperation can effectively manage the carbon footprint of the whole supply chain through the sharing of responsibilities and resources among enterprises, so as to reduce the overall carbon emissions of the supply chain system.

scholarly journals Optimal Pricing Decisions for a Low-Carbon Supply Chain Considering Fairness Concern under Carbon Quota Policy

2021 ◽  
Vol 18 (2) ◽  
pp. 556
Author(s):  
Hao Zou ◽  
Jin Qin ◽  
Bo Dai
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Rate ◽  
Retail Price ◽  
Low Carbon ◽  
Close Attention ◽  
Carbon Emission Reduction ◽  
Carbon Supply ◽  
Total Profit ◽  
Fairness Concern

This research investigates the effect of fairness concerns on a sustainable low-carbon supply chain (LCSC) with a carbon quota policy, in which a manufacturer is in charge of manufacturing low-carbon products and sells them to a retailer. The demand is affected by price and the carbon emission reduction rate. The optimal decisions of pricing and carbon emission reduction rate are analyzed under four decision models: (i) centralized decision, (ii) decentralized decision without fairness concern, (iii) decentralized decision with manufacturer’s fairness concern, (iv) decentralized decision with retailer’s fairness concern. The results indicate that the profits in the centralized LCSC are higher than those in the decentralized LCSC with fairness concern. If a manufacturer pays close attention to fairness, the fairness concern coefficient will reduce the carbon emission reduction rate and the profit of the LCSC and increase the wholesale price and the retail price of the product. If a retailer pays close attention to fairness, and the preference of consumers for a low-carbon product is low, the fairness concern coefficient of the retailer increases the total profit of the LCSC and decreases the carbon emission reduction rate and retail price of the product. Otherwise, if the preference of consumers for a low-carbon product is great, the fairness concern coefficient of the retailer would lead to a lower retail price compared with the retail price in the centralized decision and decrease the total profit of the LCSC.

Operation decision of logistics service supply chain: considering interruption probability in emergencies

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guangsheng Zhang ◽  
Xiao Wang ◽  
Zhiqing Meng ◽  
Qirui Zhang ◽  
Kexin Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evolutionary Game ◽  
Optimal Strategies ◽  
Optimal Decision ◽  
Content Type ◽  
Logistics Service ◽  
Social Reputation ◽  
Punishment Intensity ◽  
Optimal Decision Making

PurposeTo remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.Design/methodology/approachRegarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.FindingsThe results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.Originality/valueFirst, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.

scholarly journals Achieve a low carbon supply chain through product mix

2017 ◽  
Vol 117 (10) ◽  
pp. 2468-2484 ◽  
Author(s):  
Xu Chen ◽  
Xiaojun Wang
Keyword(s):  
Supply Chain ◽  
Trade Policy ◽  
Carbon Emissions ◽  
Channel Structure ◽  
Low Carbon ◽  
Cap And Trade ◽  
Product Mix ◽  
Content Type ◽  
Carbon Supply ◽  
Trade Offs

Purpose In the era of climate change, industrial organizations are under increasing pressure from consumers and regulators to reduce greenhouse gas emissions. The purpose of this paper is to examine the effectiveness of product mix as a strategy to deliver the low carbon supply chain under the cap-and-trade policy. Design/methodology/approach The authors incorporate the cap-and-trade policy into the green product mix decision models by using game-theoretic approach and compare these decisions in a decentralized model and a centralized model, respectively. The research explores potential behavioral changes under the cap-and-trade in the context of a two-echelon supply chain. Findings The analysis results show that the channel structure has significant impact on both economic and environmental performances. An integrated supply chain generates more profits. In contrast, a decentralized supply chain has lower carbon emissions. The cap-and-trade policy makes a different impact on the economic and environmental performances of the supply chain. Balancing the trade-offs is critical to ensure the long-term sustainability. Originality/value The research offers many interesting observations with respect to the effect of product mix strategy on operational decisions and the trade-offs between costs and carbon emissions under the cap-and-trade policy. The insights derived from the analysis not only help firms to make important operational and strategic decisions to reduce carbon emissions while maintaining their economic competitiveness, but also make meaningful contribution to governments’ policy making for carbon emissions control.

scholarly journals Green Manufacturing Strategy Considering Retailers’ Fairness Concerns

2019 ◽  
Vol 11 (17) ◽  
pp. 4646 ◽  
Author(s):  
Zhang ◽  
Zhang ◽  
Pu ◽  
Li
Keyword(s):  
Supply Chain ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Optimal Decision ◽  
Manufacturing Strategy ◽  
Supply Chain System ◽  
Dual Channel ◽  
Fairness Concerns ◽  
Fairness Concern ◽  
High Level

This paper addresses the problem of green manufacturing decision making for a green dual-channel supply chain (SC). In the investigated SC, the manufacturer will decide whether to adopt green manufacturing under the influence of the retailer’s fairness concern-based dual-channel. Thus, we discuss two decision scenarios: the no green manufacturing strategy with retailer fairness (NM model), and green manufacturing with retailer fairness (GM model). Our study has several findings: Firstly, adopting a green manufacturing strategy is not always beneficial to supply-chain members when a retailer has fairness. In particular, when fairness is at a relatively high level, the manufacturer will not adopt green manufacturing. Secondly, under green manufacturing, the product’s green degree and subsidies have a positive impact on the price and demand and the members’ profit and utility. Besides, the subsidies and retailer fairness have a counter effect on the optimal decision. Thirdly, comparing the two scenarios (NM & GM), we found that the channel price of the GM model is lower than the NM model. Finally, from the perspective of the supply chain system, the system tends toward the manufacturer adopting green manufacturing and maintaining retailer fairness concerns at a lower level.

scholarly journals Customer Knowledge Enabled Innovation: Analyzing Pricing-Promotion Coordination Mechanism

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guanbing Zhao ◽  
Yangyang Qiu ◽  
Muhammad Imran ◽  
Fazal Manan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Repeated Game ◽  
Consumer Electronics ◽  
Coordination Mechanism ◽  
Optimal Decision ◽  
Consumer Electronic ◽  
Market Launch ◽  
Optimal Decision Making ◽  
New Consumer

Pricing and promotion are two important decisions during the market launch of new consumer electronics products. Nowadays, the pricing and promotion of consumer electronic products are often not made separately but at the same time. This study focuses on the pricing-promotion coordination mechanism of a secondary supply chain of new consumer electronics products (which consists of a manufacturer and a seller). Price and the degree of promotion together affect the demand for products. Manufacturers give sellers a sales target. Manufacturers and sellers set prices and promotions separately, introduce repurchase penalty joint contracts, and establish supply chain profit models to compare and analyze optimal pricing, promotion efforts, and maximum profit of supply chains under different decision-making situations. We prove that the repurchase penalty joint contract can coordinate the supply chain under the assumptions of a single-period game and a multiperiod repeated game. The results show that under the repurchase penalty joint contract, when manufacturers and sellers choose high prices and high promotions at the same time, the supply chain of new consumer electronics products has the largest profit. Finally, numerical experiments are conducted to study the influence of parameters on optimal decision-making and supply chain profits.

Low Carbon Footprint

2015 ◽  
pp. 324-347 ◽  
Author(s):  
Muhammad Shabir Shaharudin ◽  
Yudi Fernando
Keyword(s):  
Supply Chain ◽  
Carbon Emissions ◽  
Manufacturing Industry ◽  
Green Building ◽  
Green Technology ◽  
Low Carbon ◽  
Supply Chain Networks ◽  
Government Organizations ◽  
Carbon Supply ◽  
The Government

Malaysia has committed to a 40% reduction of carbon emissions by 2020. The government has encouraged industry, society, and non-government organizations to work together to achieve this objective. The government has provided incentives through several energy programmes such as energy efficiency, renewable energy, green technology, and green building. One key area that has been targeted is logistics and supply chain, which has been contributing to high carbon emissions in manufacturing industries. Scholars and practitioners have only recently begun to pay attention to creating a low carbon supply chain. Furthermore, Small Medium Enterprises (SMEs) have faced several challenges in adopting low carbon activities. SMEs are unable to take the advantage of energy initiatives because of a lack of knowledge, a shortage of funds, and inadequate facilities. Almost 90% of firms are in the service industry working with large manufacturing firms and some SMEs working in manufacturing industry are working closely with their supply chain networks; achieving low carbon targets is hampered by the readiness of the manufacturing itself. This chapter discusses the challenges and future agenda of creating low carbon supply chains in manufacturing in Malaysia. Possible solutions are provided at the end of the chapter.

scholarly journals A Fuzzy-Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low-Carbon Supply Chain

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Qinghua Pang ◽  
Tiantian Yang ◽  
Mingzhen Li ◽  
Yi Shen
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Multicriteria Decision Making ◽  
Low Carbon ◽  
Chain Management ◽  
Multicriteria Decision ◽  
Green Supplier Selection ◽  
Carbon Supply

Due to the increasing awareness of global warming and environmental protection, many practitioners and researchers have paid much attention to the low-carbon supply chain management in recent years. Green supplier selection is one of the most critical activities in the low-carbon supply chain management, so it is important to establish the comprehensive criteria and develop a method for green supplier selection in low-carbon supply chain. The paper proposes a fuzz-grey multicriteria decision making approach to deal with these problems. First, the paper establishes 4 main criteria and 22 subcriteria for green supplier selection. Then, a method integrating fuzzy set theory and grey relational analysis is proposed. It uses the membership function of normal distribution to compare each supplier and uses grey relation analysis to calculate the weight of each criterion and improves fuzzy comprehensive evaluation. The proposed method can make the localization of individual green supplier more objectively and more accurately in the same trade. Finally, a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach.

Sign in / Sign up

Export Citation Format

Share Document