Green product design in supply chains under competition

Zhu, Wenzhong; He, Yuanjie

doi:10.1016/j.ejor.2016.08.053

Cited by 519 publications

(279 citation statements)

References 66 publications

Supporting

Mentioning

274

Contrasting

Unclassified

Order By: Relevance

“…Therefore, firms must take them into account in maximizing their long-term and short-term profit. Similarly, these discoveries help us explain why large numbers of scholars focus on exploring how collection cost structure, horizontal competitions, secondary market, and consumers green preference affect firms reverse logistics and remanufacturing policies (e.g., Oraiopoulos et al [57]; Atasu et al [58]; Chuang et al [59]; Zhu and He [60]). …”

Section: Factor Ranking Through Anpmentioning

confidence: 99%

Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM) and Analytic Network Process (ANP)

Xiong

Feng

2017

Sustainability

View full text Add to dashboard Cite

Abstract:The establishment of an efficient reverse supply chain is important, especially in the electronics industry, considering the environmental and resource pressures worldwide. Extended Producer Responsibility (EPR), an important environmental policy approach, has been adopted extensively in various countries, and the effectiveness of its implementation has been proven through practical application. However, the establishment and development of EPR are lacking in most developing countries where collection and recycling systems are underdeveloped. This study addresses this problem by exploring the hierarchical relationship among the driving factors of EPR in the electronics industry in China and by identifying and ranking the factors that are critical in EPR implementation. As important managerial conclusions, research results show that EPR-related laws and regulations, the consciousness of senior executives, and corporate image are the three most important driving factors of EPR implementation.

show abstract

Section: Factor Ranking Through Anpmentioning

confidence: 99%

Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM) and Analytic Network Process (ANP)

Xiong

Feng

2017

Sustainability

View full text Add to dashboard Cite

show abstract

“…We assume that the market demand functions are linear with the retail prices and greenness degree of green product, and retail price of traditional product [14,19]. The demand functions of green product and traditional product are as follows, respectively…”

Section: Model Formulationmentioning

confidence: 99%

“…Similar to Madani's work [5], we set the greenness degree of traditional product as benchmark and assume θ t = 0. Moreover, we assume the greenness degree of green product is θ, thus, θ g = θ. θ in the paper is assumed to reflect the general impact from different green attributes of the green product [14]. The manufacturer 2 (M2) produces a traditional product (Product 2) and wholesales it to the retailer at wholesale price w 2 with unit cost c 2 , then the retailer sells the product 1 and 2 to the end consumers at retail price p 1 and p 2 respectively.…”

Section: Model Formulationmentioning

confidence: 99%

Pricing Policies in Green Supply Chains with Vertical and Horizontal Competition

Chen

Wang

et al. 2017

Sustainability

View full text Add to dashboard Cite

Abstract:The paper explores the pricing policies and green strategies in a duopoly green supply chain with vertical and horizontal competition, which includes a green manufacturer, a traditional manufacturer and a common retailer. The purpose of the paper is to address the following research problems: (1) How manufacturers' market power influences the pricing policies and green strategies of supply chain members in a green supply chain? (2) What conditions do first-mover advantage and green competitive advantage be effective simultaneously? We establish the linear demand functions of the duopoly green supply chain and obtain the players' optimal decisions under channel members' different market power. Further, we conduct sensitivity analysis and numerical examples of players' optimal decisions about consumer's environmental awareness and greening cost effector. Based on the theoretical and numerical analysis, we find that green manufacturer would benefit from the increment of consumer's environmental awareness but be depressed by the increase of greening cost, which is contrary to the traditional manufacturer. Additionally, correlations of retailer' optimal decisions and profits between consumer's environmental awareness and greening cost effector are related to the manufacturers' market power structures. Furthermore, we find that the green competitive advantage is more effective than first-mover advantage while first-mover advantage does not always effective in the duopoly green supply chain. Specially, traditional manufacturer always prefers to be the follower competing with the green manufacturer, no matter with the variety of consumer's environmental awareness and greening cost effector, while green manufacturer would like to be the leader only when the consumer's environmental awareness is relatively high or the greening cost effector is relatively low.

show abstract

“…Also, he analyzed the similarities and differences between the traditional supply chains and the green supply chain, and explained the problems that will arise in the operation of the green supply chain [3]. Wang Zhu explored issues such as product design in green supply chains and classified green products [4]. Kazim proposed a novel decision framework to evaluate green supply chain management and the framework is developed by combining Monte Carlo simulation, AHP and VIKOR methods under fuzzy environment [5].…”

Section: Theories Of Green Supply Chain and Supplier Selectionmentioning

confidence: 99%

Research of the Selection of Green Material Suppliers Based on Entropy- TOPSIS Model

Zhang

2018

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Abstract. The construction industry must change the traditional extensive mode of production and take the sustainable development road. The promotion of green supply chain in the construction industry is conducive to improving the high consumption of resources, serious environmental pollution, and beneficial to the realization of green building. In the meanwhile, choosing a suitable supplier is a key to ensure that the green supply chain operates effectively. Therefore, according to the characteristics of green material suppliers, this paper establishes the evaluation indicator system of green material suppliers from the following three aspects: product level, enterprise status and green level, and then constructs the green material supplier selection model with Entropy Weight method and TOPSIS method. Finally, this paper carries out empirical research to test the effectiveness of the model.

show abstract

Green product design in supply chains under competition

Cited by 519 publications

References 66 publications

Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM) and Analytic Network Process (ANP)

Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM) and Analytic Network Process (ANP)

Pricing Policies in Green Supply Chains with Vertical and Horizontal Competition

Research of the Selection of Green Material Suppliers Based on Entropy- TOPSIS Model

Contact Info

Product

Resources

About