An ever-increasing demand for products and their consumption has put pressure on industrial output and their supply chains, and that demand has resulted in negative impacts on the environment and ...society. Increasing rates of pollution and environmental calamities caused by industrial production have urged several researchers and industry experts to work on Sustainable Production and Consumption issues within the context of Sustainable Supply Chain Management (SSCM). This paper comprehensively covers the exponential growth of the topic through an evolutionary lens. This article attempts to understand the evolution of sustainability issues by analysing trends across industries, economies, and through the use of various methodologies. A comprehensive thematic analysis was performed on 1068 filtered articles from 2000 to 2015, highlighting the development and importance of the body of knowledge. The study proposes a conceptual framework to classify various factors along the triple bottom line pillars of sustainability issues in the context of supply chains. An in-depth study is conducted on 190 articles covering all pillars of sustainability (as per the proposed conceptual framework) on SSCM. We observe that studies focusing on all three dimensions of sustainability are comparatively scarce. More focus on industry-specific studies is required because problems addressing industries that are serious polluters, especially those in emerging economies, remains largely unaddressed. It is observed that the studies addressing social issues are scarce, and more focus is required on the measurement of social impacts along the supply chain. Finally, we propose future avenues to extend research on the SSCM domain while keeping in mind the need to address industry specific and economy specific problems from the triple bottom line perspective.
•Proposed an analytical model for the two- and three-echelon reverse supply chain.•Defined the PC recycling supply chain as foundation for generating the analytical model.•Analyzed the model behavior ...and profit implications by the applicability of a numerical example.
Products that are not recycled at the end of their life increasingly damage the environment. In a collection – remanufacturing scheme, these end-of-life products can generate new profits. Designed on the personal computers industry, this study defines an analytical model used to explore the implications of recycling on the reverse supply chain from an efficiency perspective for all participants in the process. The cases considered for analysis are the two- and three-echelon supply chains, where we first look at the decentralized reverse setting followed by the coordinated setting through implementation of revenue sharing contract. We define customer willingness to return obsolete units as a function of the discount offered by the retailer in exchange for recycling devices with a remanufacturing value. The results show that performance measures and total supply chain profits improve through coordination with revenue sharing contracts on both two- and three-echelon reverse supply chains.
In this paper, a bi-objective mixed-integer linear programming model is formulated for designing a perishable pharmaceutical supply chain network under demand uncertainty. The objectives of the ...proposed model are to simultaneously minimize the total cost of the network and lost demand amount. The proposed model is multi-product and multi-period and includes simultaneous facilities location, vehicle routing, and inventory management; hence, it is considered an operational-strategic model. Procurement discounts, the lifetime of products, storing products for future periods, lost demand, and soft and hard time windows are the main assumptions of the proposed model. A novel hybrid approach, based on fuzzy theory, chance constrained programming, and goal programming approach, is developed for solving the proposed bi-objective model. The validity of the proposed model and developed solution approach is evaluated using data from Avonex, a prefilled syringe distribution chain serving 11 health centers in Tehran. The proposed model indicates that some lost sales exist, and to overcome the lost sales, the case company needs to invest a little more in addition to the initial investment of around 2 billion tomans. The results obtained from implementing the model and the sensitivity analysis, using real-world data, confirm the efficiency and validity of the proposed mathematical model and solution approach.
PurposeThe rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce ...online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.Design/methodology/approachThis study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.FindingsThis study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.Originality/valueThis research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.
We investigate the pricing and reverse channel choice decision issues in a closed-loop supply chain, within which the original equipment manufacturer (OEM) sells the new and remanufactured products ...through a retailer, while collects used products (cores) via dual recycling channels. We consider that collection competition exists between the dual recycling channels and the OEM has three options (i.e., OEM and Retailer dual collecting model, Retailer and Third party dual collecting model and OEM and Third party dual collecting model) to choose for collecting cores. We analytically show that the ranking of certain optimal values among the three optional models are independent of the competition intensity. Our result also shows that the OEM and Retailer dual collecting model is the best option for the OEM regardless of the competition intensity. We further compare our work with the existing optimal results in Hong et al. (2013) and Savaskan et al. (2004) for managerial insights on reverse channel choice.
•Investigating the pricing and reverse channel choice decision issues in a closed-loop supply chain.•Considering the collection competition between the two reverse channels.•Systematically comparing three different dual reverse channels in the same model framework.
PurposeResearch on the Internet of Things (IoT) has gained momentum in various industry contexts. However, the literature lacks broad empirical evidence on the factors that influence users' intention ...to adopt this cutting-edge technology, especially in the food and beverage industry (F&BI) – a significant yet unexplored setting. Therefore, the authors aim to extend the “Unified Theory of Acceptance and Use of Technology (UTAUT)” model by coupling it with perceived collaborative advantage, organizational inertia and perceived cost and explore the key determinants of IoT adoption for the digital transformation of the F&BI.Design/methodology/approachThis study employs a cross-sectional quantitative approach, where a sample of 307 usable responses was drawn from the senior managers of the Australian F&BI.FindingsThe authors have found that performance expectancy, perceived collaborative advantage, effort expectancy, social influence and facilitating conditions have a strong positive influence on the behavioural intention to adopt IoT for the digital transformation of the F&BI. Furthermore, while high perceived costs and organizational inertia are often considered negative factors in adopting new technology, our results reveal the insignificant influence of these factors on the adoption of IoT, which is interesting. The findings also suggest that age and voluntariness significantly moderate most of the relationships, while gender is an insignificant moderator.Originality/valueThe study provides several novel insights into the existing body of knowledge by extending the UTAUT model with three variables and applying it in a unique context.
Increased globalization and a growing world population have a great impact on the sustainability of supply chains, especially within the food industry. The way food is produced, processed, ...transported, and consumed has a great impact on whether sustainability is achieved throughout the whole food supply chain. Due to the complexity that persists in coordinating the members of food supply chain, food wastage has increased over the past few years. To achieve sustainable consumption and production (SCP), food industry stakeholders need to be coordinated and to have their views reflected in an optimized manner. However, not much research has been done concerning the influence of stakeholders and supply chain members’ coordination in the food industry’s SCP context. To facilitate the theory development for SCP, in this work, a short literature review on sustainable supply chain management and sustainable supply chains in the food industry is provided to give the reader current knowledge on how the past and current research are introduced in this work. Following that, different theories that drive sustainable consumption and production have been identified and focused. As a result, theories like the institutional theory, dynamic capability theory, and stakeholder theory are presented. Additionally, a conceptual framework has been developed by identifying the indicators, drivers, and barriers based on the stakeholder theory to achieve the SCP in food supply chain. Finally, limitations and future scope are discussed.
In the real world, there are complex decision‐making problems in which a variety of intertwined factors and hierarchical structures exist, and it is difficult or impossible to solve these problems ...using classical methods. The prioritization of circular economy (CE) adoption barriers is one such complex problem that cannot be solved using current classical methods. Hence, in this paper, for the first time, a new method, namely, FBWDS, is developed. FBWDS derives from the combination of fuzzy best–worst method (BWM), fuzzy decision‐making trial and evaluation laboratory (DEMATEL), and Supermatrix structure. This proposed method establishes weights of the intertwined factors in hierarchical networks under uncertainty; these weighted factors and their interdependencies are calculated using the fuzzy BWM and fuzzy DEMATEL techniques, respectively. In addition, the Supermatrix structure is applied to integrate the results of these two techniques. The proposed approach efficiency is evaluated in the field of the CE adoption barriers using data from a cable and wire industry in Iran. The results showed that “high setup costs,” “financial limitations,” and “absence of public awareness about CE” rank as the most challenging barriers, and “lack of standards for designing recycled products” and “absence of standard system to evaluate performance” are the least important barriers to CE adoption in the cable and wire industry.
Increasing numbers of end-of-life vehicles and a burgeoning concern for conservation of resources pressures the implementation of auto parts remanufacturing globally. But unlike in developed nations, ...developing countries encounter struggle with the implementation of auto parts remanufacturing due to hidden facts. Many researchers have explored such hidden facts in auto parts remanufacturing in developing nations and their emerging economies. However, there is a huge gap in the state-of-the-art remanufacturing practices in India, despite India's strong advancements in the automobile industry. In fact, India's automobile industry is rapidly approaching that of China's in recent years. Although some studies are available regarding remanufacturing implementation, current research has generally failed to offer a deep analysis of the factors and barriers that exist as hurdles to such implementation. Consequently, this paper attempts to investigate the essential barrier to auto parts remanufacturing in an Indian scenario, and we also address vital interrelationships and interdependencies. To achieve the aim of the study, a model framework is proposed and applied to an Indian case industry. The data obtained from the case industry is processed with two solution methodologies: namely, interpretive structural modeling (ISM) and analytic network process (ANP). To avoid inaccuracies and vagueness in results, the data are manipulated under a fuzzy environment. This study reveals results which show that higher cost and lack of customer acceptance are the essential and most influential barriers in auto parts remanufacturing in an Indian scenario. This study contributes to society by assisting closed loop supply chain players to identify and eliminate the barriers to remanufacturing within the scope of the Indian sector. Finally, this paper provides a brief road map and insights into future research for remanufacturing specifically in an Indian context.
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