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The purpose of this paper is to develop an integrated approach for a green product cradle-to-cradle (C2C) fuzzy recycling production planning model.

This paper applies the failure mode and effects analysis technique and Taguchi experimental design method, develops a green product C2C performance evaluation system that considers the fuzzy impacts of environmental laws and regulations, green goodwill, and environmental efficiency of targeting countries, and decides both the optimal green production plan and estimated optimal life cycles.

This study compares the different degree of maturity in environmental regulations, and various recycling situations are simulated to demonstrate the successful applicability of the proposed model as well as the incentive policy for Taiwan, the USA and Bangladesh.

Previous studies failed both to develop a holistic recycling production plan which is able to consider both the optimal combination of recycled components used and final green products produced with the maximum total resultant sales profit and to consider the potential failure phenomenon of recycled components adopted in the final product. Furthermore, most prior studies ignored the influence of environmental law, goodwill of the product and the efficiency of recycling mechanism of the community.

The main aim of the study is to develop a structural framework that includes e-business processes and sustainability-oriented enablers to improve supply chain performance.

To improve supply chain performance, the present study conducts a detailed literature review to explore the key enablers based on e-business processes and sustainability aspects of various recognized databases. An automotive case organization is chosen to conduct a case study for developing the structural framework. The structural framework is developed by adopting an interpretive structural modeling approach. Furthermore, the fuzzy-MICMAC approach is applied to compute the driving and the dependence power of each selected enabler.

This study develops a structural framework that indicates the improved supply chain performance is achieved by “development of supply chain web system,” “strong customer relationship management,” and “enhancement in control over cost quality and sustainability” as the most critical enablers.

The enablers for the development of framework are obtained through the inputs of an expert panel. However, the researchers may conduct large scale surveys to strengthen the input components of the framework.

This is one of the unique studies that list down a set of 27 most critical e-business processes and sustainability based enablers to improve supply chain performance.

The objective of this paper is to compare and evaluate the environmental performance of steel supply chains considering relevant environmental loss factors using Taguchi loss function (TLF) and design of experiments (DOE).

The different environmental loss factors in steel manufacturing supply chain were studied and the significant factors were identified. Their combined contributions along the significant factors were estimated using TLF and DOEs comparing environment losses at different scenarios.

The proposed methodology using TLF and DOEs was applied to three Indian steel manufacturing companies (Company A, Company B and Company C). The Company A with minimal average environmental loss score is found to be operating its supply chain with higher efficiency and has better environmental performance compared to the other two companies (B and C).

The results obtained are based on the study carried out in three Indian steel manufacturing companies. Therefore, the results cannot be generalized.

This paper will definitely show the direction for comparative environmental performance assessment of manufacturing industries in general and steel industries in specific considering environmental loss factors and environmental conditions. It determines individual performance across each environmental loss factor and their combined impact.

Although there is a need to have comparative performance analysis with respect to environmental losses among steel companies in developing countries such as India, but hardly any study has been reported in this direction. This work will definitely add the value to the supply chain literature in general and environment losses in steel manufacturing supply chain in specific.

This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model.

This study proposes the use of the fuzzy Delphi method to screen for the less important attributes and applies a network data envelopment analysis to explore the hierarchical and eco-efficient network interrelationships. The causality and hierarchal eco-efficient model is acquired using a fuzzy decision-making trial and evaluation laboratory analysis

The findings are as follows: (1) the information and technology management process is derived by enhancing sustainable customer and supplier relationship management, and (2) the eco-efficient model is improved based on long-term relationships with suppliers – that is, synergistic suppliers improve the service chain quality and provide services in an appropriate and timely manner – and research and development coordination. The theoretical and managerial implications are discussed.

The eco-efficient model reveals that the sustainable customer relationship management process, sustainable supplier relationship management process and information and technology management process are the major causal attributes in the model.

The eco-efficient model must be based on (1) long-term relationships with suppliers, (2) synergistic suppliers to improve service chain quality, (3) the provision of services in a timely manner and (4) research and development coordination.

Prior studies neglect to build an ecological economy model using the efficiency causality model of hierarchical interrelationships. Traditional SSCM fails to involve the triple bottom line performance toward sustainability.

Environmental sustainability in health care is an important issue due to the limited available healthcare resources and increase in demand. For instance, organ recycling and transplantation may reduce the increasing pressure on healthcare resources. The purpose of this paper is to set out to identify and interrelate the inhibitors that significantly influence the recycling of human organs and their implications to the environment in developing economies such as India.

The study uses Delphi–ISM–regression, a three-step method, to investigate the possible reasons for the poor supply chain efficiency of organ recycling and to explore the consequence of excessive use of healthcare resources on the environment. The Delphi technique facilitates the identification, synthesis, and prioritization of the inhibitors. Then, using focused group discussion, the interpretive structure modeling (ISM) presents the interaction among the inhibitors into a hierarchy. Further, on the basis of 257 valid responses received on the structured survey instrument, the regression model examines the influence of identified constructs on one of the identified root causes.

The ISM presents the hierarchy-based model that depicts high driving power and low dependence inhibitors leading to reduced organ recycling rate. “Negative Intentions of family members” toward organ donation t “Willingness to discuss with family” and “Perceived Behavioral Control” emerged as the significant factors influencing organ recycling rate, which adversely impact the environment sustainability.

The patients on the organ waiting list put pressure on the availability of medical resources and, ultimately, on the environment through the consumption of different drugs and disposable of medical wastes. The study suggests policymakers and hospitals improve on the existing policies for an efficient supply chain of human organ recycling. The Indian situation echoes the situation in most of the emerging economies, and similar solutions can apply there too.

For smooth running of business affairs, there needs to be a coordination among manufacturer, collector and retailer in forward and reverse supply chain. This paper handles the problem of making pricing, collecting and percentage sharing decisions in a closed-loop supply chain. The purpose of this paper is to examine the effect of responsibility sharing percentage on the profits of a manufacturer, a retailer and a collector. The paper further aims to understand the mutual interactions among decision variables and profit functions. It also determines the optimal selling price, optimal time, wholesale price, sharing percentage and optimal return rate in such a manner that the profit function is maximized.

The authors presented a three-echelon model consisting of a manufacturer, a retailer and a collector in the closed-loop supply chain and optimized the profits of each supply chain member. The authors introduced SRR models for the remanufacturing by providing some percentage of physical and financial support to the collector. Optimization techniques have been applied to obtain optimal solutions. Numerical examples and graphical representations of the optimal solutions are provided to illustrate the model.

This study stresses on profitable value retrieval from returned products, and it discusses how responsibility sharing can improve profitability and reduce the workload of an individual. In total, three main results are found. First, sharing and coordination among chain members can improve collector’s profit. Second, supply chain performance may also improve over time. Third, the profit of each member of the supply chain increases with an increase in sharing percentage up to a certain limit. So, the manufacturer can share the responsibility of the collector under a fixed limit.

The main limitation of this model is that there is no difference between manufactured and remanufactured products. There are many correlated issues that need to be further investigated. The future study in this direction may include multi-retailer, stochastic demand patterns.

It is directly utilized by supply chain industries in which coordination among chain members is still needed to maximize profits. This information enables the manufacturer to assist the collector financially or physically for the proper management of the three-layer supply chain. The present work will form a guideline to choose the appropriate parameter(s) and mathematical technique(s) in different situations for remanufacturable products.

From the management point of view, this study delivers the strongest result to remanufacturing companies and for whom effective and efficient coordination among chain members is vital to the overall performance of the supply chain.

There are very few studies that consider the remanufacturing of used products under a fixed time period. The authors considered selling price-sensitive and time-dependent exponentially declining demand. This model is developed by considering all possible help to a collector from manufacturer to collect used products from consumers. This research complements past research by showing coordination among supply chain members within a fixed time horizon.

The modern business community understands the importance of long-term satisfaction of consumer. Enabling the consumer to return products is a significant part of the equation. The purpose of this paper is to analyze the sustainable boundaries in terms of their relationship toward greening a supply chain.

Using interpretive structural modeling the research presents a hierarchy-based model to realize the driving power and dependence of sustainable boundary enablers.

The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.

This classification provides a useful tool to supply chain managers to differentiate between independent and dependent variables and their mutual relationships which would help them to focus while making strategic, tactical or operational decisions as and when required while designing a green supply chain.

This research assumes importance in context of greening a supply chain when globally enterprises are getting a lot of pressure from consumers as well as the regulatory measures from the government. Sustainability demands that the resources be used in lean manner through information coordination with all partners in a supply chain. The findings of this study would help delineate those variables that should to be necessarily considered to design a sustainable supply chain.

Green purchasing has seen an increase of attention from researchers but as yet few case studies are available. The responsibility being placed on local councils to consider not only the economic but also social and environmental impacts sets a new agenda. Both these changes suggest a new role for local government purchasing, one which embraces “greening”. This paper outlines the green purchasing strategy adopted by Belfast City Council set against a local government background. The case demonstrates an integrated approach to achieving objectives relating to local economic development, environment and purchasing.

The purpose of this paper is to investigate the technology, business and intellectual property issues surrounding the production of spare parts through additive manufacturing (AM) from a digital source. It aims to identify challenges to the growth of the AM spares market and propose suitable solutions.

The paper begins with a systematic literature review and theoretical analysis. This is followed by case study research through semi-structured interviews, forming the basis of a triangulated, cross-case analysis of empirical data.

The paper identifies several obstacles to the development of the AM-produced digital spares market. The manufacturing industry will soon be forced to re-think AM as a real manufacturing alternative. Short-term, AM technology has implications for the production of components for legacy systems for which tooling facilities no longer exist. Long-term, AM will be used to produce a wide range of components especially when product and/or service functionality can be increased. To enable companies to navigate current uncertainties in the patent framework (especially the “repair vs make” doctrine), new intellectual property rights strategies could be developed around patenting both complex devices and their individual components, and seeking patent protection for CAD files. Further harmonization of the EU legal framework, the interpretation of claims and the scope of protection offered in the context of spare parts, will also be important.

This study pinpoints key issues that need to be addressed within the European AM business environment and the patent system and proposes recommendations for business and legal frameworks to promote the growth of a stable European digital spare parts market.