An AI- and Machine Learning–Data Driven Predictive Analytics Framework for Enhancing Resilience and Sustainable U.S. Supply Chains Systems for Manufacturing and Resource Efficiency

Improving the efficiency in the links in the supply chains of agri-food products is relevant in terms of the assessment methodology and practical aspects for ensuring and supporting sustainable supply chains of products not only in individual channels of product movement but also in the end-to-end supply chain of products, i.e., from the field to the end consumer. However, it is still unclear which supply chain opportunities in commodity distribution channels are more effective for creating end-to-end sustainable supply chains for agri-food products. The purpose of the study is to develop a methodology for assessing the impact of agri-food supply channels on the efficiency and link in supply chains, taking into account the factors affecting them and developing recommendations for their improvement. Quantitative methods based on correlation and regression analysis using the EViews program on the basis of Kazakh statistical data for 2008–2022 were used. A methodology is proposed for assessing the effectiveness of the functioning and links in commodity movement in the supply chains of agricultural products at the macroeconomic level based on the consideration and use of important factors affecting the efficiency and links: production and sales volumes, total costs, and profitability for each supply channel: “production–processing–industrial production–trade”. The relationship between the efficiency and the links in supply chains and also the key factors that affect them have been established. The results showed that the increase in the efficiency in supply channels in the commodity distribution system leads to a decrease in the coefficient of the link in commodity movement and inventory availability. To reduce the link ratio in the supply chains of agri-food products, it is necessary to increase the efficiency in supply chains in each supply chain link and reduce the share of retail trade in the gross turnover. Recommendations are proposed to improve supply chain efficiency and reduce links to support and create end-to-end sustainable supply chains of agri-food products. The study makes an essential contribution to providing empirical evidence of the relationship between the effectiveness of agri-food supply channels and the link in the supply chain. Since few works describe the relationship between the links of product distribution and the efficiency in supply chains in the literature, in this work, it was possible to propose a methodology and identify factors and gaps in research to identify potential areas for future research.

In recent years, the interdisciplinary research of supply chains and sustainability has received extensive, yet gradual, attention; when compared to the rapid economic growth of the service industry, however, sustainable supply chain management has not been systematically explored yet. It has not only great theoretical significance, but also positive practical significance to provide a framework for the operation of a sustainable service supply chain from a sustainable development point of view. Based on the triple bottom line (TBL), we have analyzed related sustainable supply chain management research between 2006 and 2015, reviewed papers involving two or three bottom lines as well, and then introduced some classical frameworks for manufacturing supply chain management and service supply chain management. Afterward, by analyzing the differences between the manufacturing and service industries, we propose a framework of sustainable service supply chain management (SSSCM). Based on the impacts of sustainable development TBL on service supply chain participants, we have finally made a framework for sustainable operation facing triads service supply chain and proposed a future research agenda.

Purpose – The increasing pressure to reduce carbon emissions has made emissions trading mechanisms a crucial policy instrument in Sustainable Supply Chain Management (SSCM), particularly in the manufacturing sector. This study aims to systematically examine the implementation of emissions trading mechanisms in manufacturing supply chains and identify key challenges and mitigation strategies related to the cost-emissions trade-off. Methodology – This study employed a mixed-methods approach, combining bibliometric analysis and a systematic literature review (SLR) based on the PRISMA framework. Data were obtained from the Scopus database, comprising 227 journal articles published between 2001 and 2024. Findings – The findings reveal a paradigm shift from static models toward dynamic, data-driven, and multi-objective approaches. Moreover, the results confirm that the cost–emission trade-off is not inherent but is shaped by model design, power structures within supply chains, and the alignment of policy frameworks with managerial capabilities. Originality – This study offers original insight by integrating bibliometric mapping with a systematic qualitative synthesis to examine the implementation and challenges of emission trading mechanisms within sustainable supply chain management in the manufacturing sector. Research limitations – Articles analyzed in this study are limited to publications in Scopus database during 2001-to-2024 time span. Practical implications – This study emphasizes the importance of integrating carbon policies with optimization technologies and strengthening managerial capabilities. Suggestions for further research include testing the identified models in empirical contexts across countries and industries, and developing dynamic frameworks that simultaneously incorporate policy uncertainty, actor behavior, and technological evolution.

SAP Supply Chain Management is one of the key modules in SAP ERP and controls Production Planning, business forecasting and demand planning. It helps the organization to manage their supply chain process in a dynamic environment. SAP SCM is a complete software to cover key processes such as supply chain networking, supply chain planning and coordination, and supply chain execution.

Buy BookDesk / Exam Copy...MoreThe critical role that supply chain planning contributes to a firm’s financial well-being has never been greater. All too often, however, considerable managerial resources are directed toward planning activities with minimal results. In this book, we present proven, practical management frameworks used by the authors to support supply chain operations management and planning in private industry. These frameworks provide methodologies for managing critical activities such as supply chain strategic planning and project selection, manufacturing and distribution planning, performance measurement, supply chain risk management, and customer logistics and inventory deployment. The book is intended for supply chain professionals, as well as for graduate and advanced undergraduate students. Practitioners will obtain valuable new insights and examples of implementable frameworks and methods for managing their supply chain functions and organizations. Students will develop an understanding of real-world approaches for supply chain planning, decision support, and many other key activities. $(function() {$("#shortDescription").html(function() { if($("#fullDescription").html().length > 1800){ return $("#fullDescription").html().substr(0, 1800) + $("#shortDescription").html(); }else { return $("#fullDescription").html().substr(0, 1800); } });$("#showText").click(function() {$("#fullDescription").css("display", "inline");$("#shortDescription").css("display", "none");$("#showText").css("display", "none"); }); });

Supply Chain Event Management (SCEM) is an approach aiming to fill the gap between Supply Chain Planning and Supply Chain Execution. The goal of SCEM applications is to monitor the states of supply chains by observing specific events and exceptions in real-time and alerting managers if problems occur. This paper presents an architecture for a mobile SCEM system based on software agents, Auto-ID technologies, and mobile computing. It introduces the main layers and components of this architecture. A special focus is placed on web services, mobile user interfaces, and integration of a multi-agent platform as innovative solutions to improve SCEM.

Supply chain management survey of Swedish manufacturing firms

The purpose of this research is to investigate how sustainability is integrated into supply chain management (SCM). Emphasis is particularly devoted to determining how the sustainability of supply chains may be assessed. Four key objectives were developed to support this purpose: (1) define sustainable supply chain management (SSCM), (2) identify and analyze the published metrics for SSCM, (3) develop a comprehensive approach for assessing sustainability performance at the company level, and (4) develop an integrative sustainability performance framework for the broader context of supply chain. The first two objectives were accomplished through two different sets of in-depth literature reviews. The reviews focused on analyzing the convergences and divergences in the literature on green supply chain management (GSCM), SSCM, and the metrics used in these areas. The reviews helped provide the basis for accomplishing the remaining research objectives. Accordingly, stochastic models for measuring sustainability performance at the company and supply chain levels were developed. This research addresses several important gaps in the literature. As research on the integration of sustainability into SCM continues to expand, it becomes increasingly important to highlight the inconsistencies in the various definitions and metrics used to measure GSCM and SSCM. The lack of reasonably consistent definitions and metrics may lead to confusion regarding the appropriate scope in theory and practice of SSCM initiatives. Exploring the implications of and potential resolutions to the many differences in the published definitions and metrics provide much needed reference points, and further provide the foundation necessary to support the development of scientifically-sound sustainability models. By providing relatively simple and informative measurement, the model developed in Objective 3 presents a unique method of adopting the strong sustainability concept to assessing sustainability at the company level. Furthermore, by providing an original and straightforward analytical approach, the SSCM models developed in Objective 4 are one of the first to explicitly adopt probabilistic approaches for sustainability assessment in the supply chain context. Given their unique ability to accommodate any number of SSCM characteristics, the models can be employed as integrative, multi-dimensional tools for evaluating changes in the sustainability status of a supply chain over time.

The purpose of this research is to investigate how sustainability is integrated into supply chain management (SCM). Emphasis is particularly devoted to determining how the sustainability of supply chains may be assessed. Four key objectives were developed to support this purpose: (1) define sustainable supply chain management (SSCM), (2) identify and analyze the published metrics for SSCM, (3) develop a comprehensive approach for assessing sustainability performance at the company level, and (4) develop an integrative sustainability performance framework for the broader context of supply chain. The first two objectives were accomplished through two different sets of in-depth literature reviews. The reviews focused on analyzing the convergences and divergences in the literature on green supply chain management (GSCM), SSCM, and the metrics used in these areas. The reviews helped provide the basis for accomplishing the remaining research objectives. Accordingly, stochastic models for measuring sustainability performance at the company and supply chain levels were developed. This research addresses several important gaps in the literature. As research on the integration of sustainability into SCM continues to expand, it becomes increasingly important to highlight the inconsistencies in the various definitions and metrics used to measure GSCM and SSCM. The lack of reasonably consistent definitions and metrics may lead to confusion regarding the appropriate scope in theory and practice of SSCM initiatives. Exploring the implications of and potential resolutions to the many differences in the published definitions and metrics provide much needed reference points, and further provide the foundation necessary to support the development of scientifically-sound sustainability models. By providing relatively simple and informative measurement, the model developed in Objective 3 presents a unique method of adopting the strong sustainability concept to assessing sustainability at the company level. Furthermore, by providing an original and straightforward analytical approach, the SSCM models developed in Objective 4 are one of the first to explicitly adopt probabilistic approaches for sustainability assessment in the supply chain context. Given their unique ability to accommodate any number of SSCM characteristics, the models can be employed as integrative, multi-dimensional tools for evaluating changes in the sustainability status of a supply chain over time.

Sustainable Supply Chain Management (SSCM) has emerged as a critical domain at the intersection of environmental economics and corporate strategy. Traditional supply chains were designed primarily to minimize cost and maximize efficiency; today, they must also internalize environmental externalities, manage climate and resource risks, and respond to evolving stakeholder expectations. This paper offers a cross-disciplinary analysis of SSCM by integrating core concepts from environmental economics, such as externalities, public goods, and optimal resource use, with strategic management perspectives on competitive advantage, value creation, and firm capabilities. Drawing on key books in environmental economics and supply chain management, the paper develops an integrated conceptual framework for sustainable value creation along the supply chain. A brief qualitative methodology section explains the use of conceptual synthesis and illustrative case studies. The discussion analyses how instruments like carbon pricing, life-cycle costing, and extended producer responsibility intersect with strategic tools such as the value chain, resource-based view, and dynamic capabilities to reshape supply chain design and governance. Case studies of Unilever, Walmart, Patagonia, and Toyota demonstrate how leading firms leverage SSCM to reduce environmental impacts while pursuing strategic benefits, and also highlight persistent challenges and trade-offs. The paper concludes that integrating environmental economic logic into corporate strategy is no longer peripheral but central to building resilient, competitive, and future-ready supply chains

Purpose The burgeoning body of literature on socially sustainable supply chain management (SSCM) is evidence of the growing interest in social practices in firms along supply chains. However, the market benefits associated with collaborative SSCM practices remain unclear, particularly regarding how sustainability motives and sustainability information exchange impact these benefits. This study uses stakeholder theory and the supply chain practice view to empirically investigate the various sustainability motives driving collaborative social SSCM practices. Furthermore, this study aims to explore whether sustainability information exchange and sustainability motives act as mechanisms and boundary conditions influencing the relationship between collaborative social SSCM practices and supply chain market performance. Design/methodology/approach Survey data were collected from 262 managers representing firms along manufacturing supply chains in Ghana, a country facing several social sustainability challenges. The survey data were analysed using partial least squares structural equation modelling. Findings This study identifies three distinct motives – performance-based motives, stakeholder relationship-induced motives and morally induced motives – that influence collaborative social SSCM practices. Notably, performance-based motives emerge as the most significant driver of collaborative social SSCM practices. Sustainability motives also positively moderate the relationship between sustainability information exchange and market performance across manufacturing supply chains. The results further indicate that collaborative social SSCM practices contribute positively to the market performance of firms across supply chains through effective sustainability information exchange. Originality/value This study presents a novel perspective in social SSCM literature by identifying multiple motives driving collaborative social SSCM practices. It also provides new insight into the boundary conditions and mechanisms through which social SSCM practices influence market performance across manufacturing supply chains.

The global supply chain landscape is experiencing transformative change due to the escalating impacts of climate change, which disrupt traditional models and pose risks to supply chain resilience. In response, Sustainable Supply Chain Management (SSCM) has emerged as a key strategy that integrates environmental, social, and economic considerations into supply chain practices. This paper explores the interdisciplinary convergence of environmental science and business logistics, highlighting how such integration can enhance supply chain adaptability and long-term sustainability. Using a comprehensive literature review, secondary data analysis, and relevant case studies, the study investigates the effects of climate disruptions on global supply chains and examines innovative SSCM practices such as green procurement, circular supply chains, and renewable energy integration. Findings demonstrate that companies adopting SSCM approaches especially those investing in clean technologies and collaborative environmental strategies are better equipped to mitigate risks and gain competitive advantages. Key case studies from firms like Unilever, IKEA, and Walmart underscore the practical benefits of sustainability-focused supply chains. Additionally, the role of digital transformation technologies such as blockchain, IoT, and predictive analytics is discussed as an enabler of traceability and transparency. This study concludes by providing actionable recommendations for both business practitioners and policymakers, while also identifying areas for future interdisciplinary research in SSCM, such as emerging technologies and regional adaptation strategies. The proposed framework emphasizes the need for systemic shifts in supply chain thinking to align with climate resilience and sustainability imperatives.

PurposeTo contribute to the development of a more complete theory of sustainable supply chain management (SSCM), this study aims to focus on media attention as an under-researched antecedent. Media transmit information about (good or bad) business practices and information recipients often adjust their behavior accordingly. Although media often uncover scandals in supply chains, no systematic understanding explicates how they shape lead firms’ reactions to scandals. This empirical study investigates how media attention to a major supply chain scandal influences buying companies’ SSCM.Design/methodology/approachThe research setting is the fashion industry, five years after the Rana Plaza building collapse. Matched SSCM data from 73 fashion lead firms and news articles collected from major outlets were analyzed using ordinary least squares regression analyzes.FindingsThis study generates nuanced insights into the role of the media in triggering SSCM. Certain facets of media attention (direct media exposure and negative framing) result in higher levels of SSCM, others have no significant effect (media visibility) and some result in less SSCM (positive framing).Research limitations/implicationsThe varying effects of different facets of media attention on SSCM have not been established previously. Both media and supply chain researchers should address these unique effects in their continued assessments.Social implicationsExternal stakeholders can use these findings to devise more effective ways to influence lead firms and improve social and environmental conditions in supply chains.Originality/valueThis study is the first empirical investigation of the effects of various facets of media attention on SSCM.

There are several supply chain-related problems facing the construction industry, such as poor construction site logistics, lack of communication and trust. These problems can jeopardize construction projects through delays and cost overruns. Supply chain planning, a part of supply chain management (SCM), can be used as a tool to deal with these problems. The purpose of this paper is to study how linkages between common supply chain-related problems in construction can be illustrated and to demonstrate how they could be resolved through supply chain planning. Firstly, we identify how the linkages between common problems can be illustrated, and secondly the role of supply chain planning in resolving these problems. A conceptual model is developed that was verified using three cases with Swedish gypsum and kitchen supply chains. The model is shown to be useful in illustrating how supply chain problems occurring at executional level on-site are related to problems originating in lack of planning at company/pre-construction level. The study thus demonstrates how supply chain planning can aid in resolving supply chain problems. The paper contributes by bringing planning back into the picture and by showing how supply chain planning can help to adopt SCM in construction.

Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry