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Assuming the significance of sustainability, it is considered necessary to ensure the conservation of our natural resources, in addition to minimizing waste. To promote significant sustainable effects, factors including production, transportation, energy usage, product control management, etc., act as the chief supports of any modern supply chain model. The buyer performs the firsthand inspection and returns any defective items received from the customer to the vendor in a process that is known as first-level inspection. The vendor uses the policy of recovery product management to obtain greater profit. A concluding inspection is accomplished at the vendor’s end in order to distinguish the returned item as belonging to one of four specific categories, namely re-workable, reusable, recyclable, and disposable, a process that is known as second-level inspection. Then, it is observed that some defective items are suitable for a secondary market, while some are reusable, and some can be disassembled to shape new derived products, and leftovers can be scrapped at the disposal cost. This ensures that we can meet our target to promote a cleaner drive with a lower percentage of carbon emissions, reducing the adverse effects of landfills. The activity of both players in this model is presented briefly in the flowchart shown in the abstract. Thus, our aim of product restoration is to promote best practices while maintaining economic value, with the ultimate goal of removing the surrounding waste with minimum financial costs. In this regard, it is assumed that the demand rate is precise in nature. The learning effect and fuzzy environment are also considered in the present model. The proposed model studies the impacts of learning and carbon emissions on an integrated green supply chain model for defective items in fuzzy environment and shortage conditions. We optimized the integrated total fuzzy profit with respect to the order quantity and shortages. We described the vendor’s strategy and buyer’s strategy through flowcharts for the proposed integrated supply chain model, and here, in the flowchart, R-R-R stands for re-workable, reusable, and recyclable. The demand rate was treated as a triangular fuzzy number. In this paper, a numerical example, sensitivity analysis, limitations, future scope, and conclusion are presented for the validation of the proposed model.

Value chain–based approaches offer tremendous scope for market-based improvements in production, productivity, rural economy diversification, and household incomes, but are often covered by literature that is too conceptual or heavily focused on analysis. This has created a gap in the information available to planners, practitioners, and value chain participants. Furthermore, few references are available on how these approaches can be applied specifically to developing agriculture in Africa. 'Building Competitiveness in Africa's Agriculture: A Guide to Value Chain Concepts and Applications' describes practical implementation approaches and illustrates them with scores of real African agribusiness case studies. Using these examples, the 'Guide' presents a range of concepts, analytical tools, and methodologies centered on the value chain that can be used to design, implement, and evaluate agricultural and agribusiness development initiatives. It stresses principles of market focus, collaboration, information sharing, and innovation. The 'Guide' begins by examining core concepts and issues related to value chains. A brief literature review then focuses on five topics of particular relevance to African agricultural value chains. These topics address challenges faced by value chain participants and practitioners that resonate through the many cases described in the book. The core of the book presents methodological tools and approaches that blend important value chain concepts with the topics and with sound business principles. The tools and case studies have been selected for their usefulness in supporting market-driven, private-sector initiatives to improve value chains. The 'Guide' offers 13 implementation approaches, presented within the implementation cycle of a value chain program, followed by descriptions of actual cases. Roughly 60 percent of the examples are from Africa, while the rest come from Europe, Latin America, and Asia. The 'Guide' offers useful guidance to businesspeople, policy makers, representatives of farmer or trade organizations, and others who are engaged in agro-enterprise and agribusiness development. These readers will learn how to use value chain approaches in ways that can contribute to sound operational decisions, improved market linkage, and better results for enterprise and industry development.

Green supply chain management has emerged as a proactive approach for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. Various approaches for implementing green supply chain management practices has been proposed and recognized in previous literatures, yet no investigation has identified the reliability and validity of such approaches particularly in electronic industry. This study examines the consistency approaches by factor analysis that determines the adoption and implementation of green supply chain management in Taiwanese electronic industry. The fuzzy analytic hierarchy process method is applied to prioritize the relative importance of four dimensions and twenty approaches among nine enterprises in electronic industry. The findings indicate that these enterprises would emphasize on supplier management performance in the crucial role of implementing green supply chain management. Establishing an environmental database of products, asking for product testing report and top management support are among the most important approaches. The results for the implications of green supply chain management implementation in electronic industry investigated in this work generate a generic hierarchy model for decision-makers who can prioritize those approaches for implementing green supply chain management in Taiwan.

Small scale producers in developing countries lack easy access to efficient logistics services. They are faced with long distances from both domestic and international markets. Unless they consolidate their trade volumes they face high costs which diminish their ability to trade. However, the process of consolidation is not without cost nor does it occur on its own accord. As a result, the consolidation is typically handled by intermediaries. Using case studies of sisal and soybean supply chains in Brazil and India respectively, this study explores the role and impact of intermediaries in facilitating trade in lagging regions. The study assesses the horizontal relationships between the small scale producers in thin markets and the vertical connections between different tiers of the same supply chain. The study analyzes the traditional approach to linking producers namely through cooperatives and itinerant traders and the relatively newer innovations using ICT. The study finds that farmers linked through the different mechanisms are more integrated to international supply chains or are able to better manage supply chains longer than would otherwise be the case. Intermediaries play several roles including providing transport services and facilitating market exchanges, payments, risk sharing and quality improvements. Generally, information technology driven innovations make it easier to integrate adjacent steps in the value chain. This report on logistics performance at the sub-national level is an on-going endeavour. Similar analysis is being carried out in some countries in Africa to identify the evolving role of intermediaries in low income regions. The results will be developed into a major publication on this topic, with recommendations on how development agencies, civil society and the private sector can improve the design of strategies to reduce logistics costs in low income areas.

Supply chain disruptions from disasters cause delays, financial losses, and reputational damage. To tackle this, organizations aim to build resilient networks. This study integrates mobile additive manufacturing (MAM) with truck-drone delivery (TDD) systems to boost supply chain resilience (SCR) during disasters. The framework synchronizes truck-drone deliveries with customer time windows and MAM operations, uniting production and delivery processes. The research examines how vibrations and surface roughness impact AM processes in mobile settings, particularly during disasters. Strategies ensure high product quality despite these challenges. A mixed-integer linear programming (MILP) model minimizes operating costs, accounting for penalties from missed deliveries, timing deviations, and quality issues caused by environmental factors. A heuristic approach-referred to as the MAM-TDD variable neighborhood descent (MTVND) method-was introduced to solve the model. Additionally, three alternative models were evaluated for comparison: MAM combined with truck delivery, fixed additive manufacturing (FAM) paired with TDD, and FAM with truck delivery. A real-world case study was conducted to assess the performance of the primary model against these alternatives. The results emphasized the superiority of the MAM-TDD system under disaster conditions, particularly in extending delivery reach and ensuring timely fulfillment of orders. The study analyzed disaster severity levels-high, moderate, and low-demonstrating the robustness of the system. This research offers practical insights for managers, showcasing how MAM and TDD create flexible, innovative supply chain solutions in disaster scenarios.

Purpose: The purpose of this case study is to develop and framework supply chain characteristics and risk mitigation strategies in the context of biodiesel downstream supply chain. Design/methodology/approach: This study employs an expert interview-based approach as a qualitative approach with a multi-perspectives view. Findings: There are vary strategies among perspectives, such as perspectives of organization and business types, stakeholder types, times and methods. These also shows that business strategy of collaborative, coordinative, and cooperative arise as alternative strategies for each perspective and each level of stakeholder. Those business strategies may apply in a vary operation strategies which linking through an energy security framework element as company's competitive priorities. Research limitations/implications: The research scope includes only a certain area of the country's territory and the target company's supply chain areas of activity. The research method includes only internal stakeholders and experts as respondents and data sources. The level of analysis was only at corporate level in the corporate case study context. The research also targets only a downstream activities of biodiesel supply chain context. The interview-based approach as a qualitative approach faces some subjectivity challenges among respondents. Practical implications: The research result provides some positive implications for business practice, includes how to minimize the impact of supply chain risk on company's business activities and performance, how supply chain experts and practitioners used risk mitigation practices, how to formulate strategic plans to minimize the impact of supply chain risk and enhance the effectivity and sustainability of the supply chain activities. Social implications: The implication for business practice was that company's leaders implemented supply chain risk mitigation strategies that provide positive impacts on the more valuable relationship among supply chain actors and stakeholders. Originality/value: The first, is an activities areas and operation schemes-based of biodiesel supply chain point of view. The second, is a multi-perspectives-based biodiesel supply chain characteristics framework. The third, is an energy security framework-based biodiesel risk mitigation strategies framework.

Purchasing is one of the most crucial and vital activities of business, as it has a significant impact on finance, operations and competitiveness of the organization. Many organizations are now allocating more resources for outsourcing activities to increase their competitive position. Selecting an appropriate supplier for outsourcing is now one of the most important decisions of the purchasing department. This decision generally depends on a number of different criteria. On the other hand, to encourage the buyers to order more, suppliers usually offer volume discounts. To rank suppliers in volume discount environments in the presence of both cardinal and ordinal data, this paper proposes an innovative algorithm, which is based on Minimax Regret-based Approach (MRA). A numerical example demonstrates the application of the proposed method.

Over the last years, Corporate Social Responsibility (CSR) has become an important component of business activities for many companies in the world. Much attention has been devoted considering also supply chain perspective. Multinational corporations are not only responsible for sound environmental and social practices within their own premises, but increasingly also for sustainable performance of their suppliers, and ultimately for the entire supply chain which they lead as channel leaders. That is why, large buyers have recently come under pressure to increase monitoring of  suppliers' behaviours to bolster CSR compliance. This paper aims to present  a conceptual framework for analyzing the Sustainable Procurement practices  in global supply chains. An important aspect of implementing such supply chain CSR initiatives involves achieving supplier compliance. It also seeks to demonstrate how a specific consortium of Large European Telecommunications Companies, implements and manages together CSR practices, integrating social and environmental aspects at its suppliers based in Asia. This cooperation is an opportunity for members to collectively work on issues of common concern to find industry-wide solutions, aimed at jointly  auditing suppliers in developing countries on sustainable sourcing. The information collected and conclusions reached offer strategies for advancing CSR beyond the superficial and often ineffectual 'code of conduct' stage.

PurposeTo examine the interplay between sustainable supply chain management (SSCM) and circular economy, this research conceptualises and empirically tests an integrative framework of environmental information exchange with suppliers (ES), environmental product design (EPD) and cost performance (CP) with the contingency effect of digital orientation (DO). The associations proposed in the integrative framework provide a configuration of SSCM practices that support circular economy's restorative processes in the digital age.Design/methodology/approachThe resource orchestration theory and contingency theory are used to investigate the mediation and moderating effects, which were tested by a moderated mediation analysis of survey data of 100 firms in Australia.FindingsThe results show that EPD fully mediates the relationship between ES and CP. Further, DO was found to moderate the relationship between EPD and CP, but not the relationship between ES and EPD.Practical implicationsThe empirical findings of this study offer an effective SSCM practice configuration for firms seeking to target advanced circular business models and economic benefits. Managers should be aware that ES may not be enough to improve CP; EPD is a required mechanism to translate the ES benefits into cost superiority. Managers should also stimulate a DO culture to develop effective EPD capabilities, which leads to improved CP and a foundation for companies seeking to target circularity.Originality/valueThis study advances prior theoretical and practical knowledge. The authors propose and empirically test an integrated SSCM and circular economy model that incorporates mediation and moderation effects to clarify inconsistent findings in prior work, which provides a more holistic and practical understanding of SSCM practices in the digital context. Furthermore, the SSCM literature recommends the adoption of circular economy principles. The integrated model in this study provides a bridge between SSCM and circular economy.

Purpose The purpose of this paper is to analyse the concept of supply chain resilience (SCRES) within a concept mapping framework to seek conceptual clarity, with an emphasis on SCRES definitions, essential elements and managerial practices. Design/methodology/approach A systematic literature review was conducted of 103 peer-reviewed journal articles from the year 2000 to 2015, with the aim of answering a focus review question. Findings Through analysis and synthesis of the literature, the study revealed three major constructs used to define SCRES: phases of resilience, resilience strategies and the capabilities needed to be resilient. Emerging from the capabilities construct are five core SCRES capabilities: the ability to anticipate, to adapt, to respond, to recover and to learn. Also, given the need to consolidate the various constructs of SCRES, the study identified 13 essential elements and 84 managerial practices that support firms to achieve the five capabilities, which are then linked to SCRES strategies and phases to establish the connections that provide an integrated view of the concept. Research limitations/implications The explorative nature of this study and the role of the concept mapping framework, which does not empirically test the relationships in the model, are considered as limitations, to be addressed by the authors in future research. Originality/value The originality of this paper lies in the classification of different features of SCRES through a comprehensive concept mapping framework that establishes relationships and interactions between them. This study, therefore, lays a foundation for testing these connections in future empirical studies. The paper brings together fragmented literature from multiple studies to create a solid body of knowledge that addresses the need for conceptual clarity in SCRES literature.