Supply Chain Management Framework Research Articles

Effective hydrogen supply chain management framework considering nonlinear multi-stage process uncertainties

The large amount of carbon emitted due to industrial development is posing serious climate change. Under these circumstances, hydrogen energy is being used as a major energy source and is attracting attention as an alternative energy to fossil fuels, characterized by high carbon emissions. While the use of hydrogen has the obvious benefit of a low carbon footprint, the hydrogen production process possesses a high carbon footprint difference depending on the source of utilized electricity. This study considers several situations arising in an electrolysis-based hydrogen supply chain network (HSCN). A multi-stage stochastic programming (SP) is modeled to consider the uncertainty of demand and transportation capacity generated in HSCN. Moreover, a typical stochastic model has a chain rule between the decision variables resulting from nonlinearity and uncertainty, and these features make it difficult to derive an effective solution. Thus, in this study, a new methodology, Weighted Scenario Sample Average Approximation (WSSAA), is proposed to derive an effective solution for the multistage SP model considering various scenarios under the hydrogen supply chain. While a general stochastic programming approach fails to generate feasible solutions with volatile HSCN uncertainties, the proposed WSSAA framework provides feasible decisions considering multiple scenarios. The effectiveness of the proposed model applied with WSSAA is demonstrated through comparative experiments over the models used in existing studies.

Sustainable and ethical supply chain management: The role of HR in current practices and future directions

This study systematically reviews the integration of Human Resources (HR), sustainability, and ethics within the framework of supply chain management, illuminating the pivotal role of HR practices in enhancing the sustainability and ethical integrity of supply chains. Employing a systematic literature review coupled with content analysis, this research scrutinizes scholarly articles and case studies across various databases, focusing on the period from 2000 to 2024. The methodology hinges on precise inclusion and exclusion criteria to distill relevant literature, which is then subjected to rigorous content analysis to identify prevailing themes and insights. Key findings reveal that strategic HR practices, including talent management, training and development, and leadership cultivation, are central to embedding sustainability and ethical considerations into supply chain operations. These practices not only foster a culture of sustainability and ethics but also drive organizational change towards more sustainable supply chain models. The review identifies a dual challenge for sustainable supply chain management: the complexity of global supply chains and the increasing demands for transparency and ethical conduct, presenting both significant challenges and opportunities for innovation. Finally, the study underscores the critical role of HR in sustainable and ethical supply chain management, highlighting the necessity of integrating sustainability into HR practices. Strategic recommendations for organizations and HR professionals are provided to navigate the evolving landscape of supply chain sustainability. The study calls for further research into the dynamic interplay between HR practices and supply chain sustainability, particularly in the context of emerging technologies and global supply chain complexities.

The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator

This research aims to explore the complex interplay between supply chain resilience (SCR), digital supply chain (DSC), and sustainability, focusing on the moderating influence of supply chain dynamism. The goal is to understand how these elements interact within the framework of contemporary supply chain management and how they collectively contribute to enhancing sustainability outcomes. The sample size is 300 CEOs and managers. The study approach integrates quantitative research methods. Structural equation modeling (SEM) is utilized to quantitatively analyze the direct and indirect effects of SCR and DSC on sustainability. The numerous surveys we conduct among supply chain ecosystem stakeholders provide a rich picture of practical implications and contextual nuances. In sum, our early findings generally support a positive relationship between SCR and sustainability in and of itself, declaring the need for more resilient supply networks for sustainability. We further find the beneficial impact of digital technologies in promoting sustainability via enhancing environmental control and controlling for efficiency in supply chains. We also offer evidence to show that supply chain dynamism compounds the positive logic between SCR and DSC and sustainability. As a final word, it must be noted that our work speaks to the burgeoning literature on supply chain dynamism as a moderator by examining the direct and contingent effects of SCR and DSC not only on performance but sustainability. By shedding light on the moderating role of dynamism, the study provides fresh insights into the multifaceted nature of supply chain management and sustainability practices. The study’s findings enhance theoretical understanding by elucidating the synergistic effects of SCR, DSC, and sustainability in dynamic supply chain settings. The study augments the existing theoretical frameworks by integrating the concepts of resilience, digitalization, and sustainability into a comprehensive model. Practical and economical, the research offers actionable guidance for organizations aiming to improve sustainability performance through resilient and digitally advanced supply chains. By acknowledging the role of supply chain dynamism, managers can tailor strategies to manage disruptions effectively and leverage digital innovations. Economically, adopting sustainable practices can result in cost savings and competitive advantages. The research emphasizes the importance of aligning supply chain strategies with sustainability goals to drive long-term value and societal impact.

Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

Nurturing family business resilience through strategic supply chain management

PurposeThe study aspires to enhance comprehension of the intricate interplay between supply chain management (SCM) and resilience in family businesses, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.Design/methodology/approachCommencing from the premise that family businesses (FBs) prioritize the preservation of socio-emotional wealth (SEW) when formulating strategic decisions, this study endeavours to advance understanding of supply chain practices adopted by FBs and their direct impact on resilience during crisis situations or economically challenging periods. Through an exploratory case study of nine FBs, the present research reveals four pivotal strategies in SCM that contribute to their resilience: (i) reorganization of inventory management; (ii) cultivating close relationships with suppliers; (iii) emphasizing product quality and customer retention; and (iv) implementing cost reduction measures to bolster resilience. The aim of the study is to provide an in-depth understanding of the intricate interplay between SCM and resilience in FBs, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.FindingsOur approach offers a theoretical framework for SCM aligned with prior research on the interplay between characteristics of family businesses and resilience strategies. Furthermore, this paper illustrates how factors such as the emphasis on high-quality products and services by family businesses contribute to achieving non-economic objectives that owners adopt to reconcile family and business needs, creating intrinsic added value for the company. It reveals various challenges in SCM, including inventory organization changes, supplier closures and the significance of customer retention. Family businesses are implementing product and technology enhancements and leveraging digitization to enhance supply chain processes.Originality/valueThis paper contributes significantly to the field of FBs by highlighting the crucial role of SCM in enhancing business resilience during crises. It empirically examines how the SEW characteristics of FBs influence the reconfiguration of their supply chains to enhance resilience, presenting a theoretical model for this context. Our theoretical framework employs an SEW perspective to elucidate how FBs respond to the challenges posed by the COVID-19 pandemic by adapting their SCM processes to safeguard their social and emotional legitimacy, organizational visibility and reputation. These adaptations gain particular relevance during crises or turbulent conditions, potentially leading to alterations in how FBs formulate their supply chain strategies and manage supply chain-related processes.

Crowdsourced vehicles and UAVs for last-mile delivery application using blockchain-hosted matching mechanism

The crowdsourcing paradigm has been used for last-mile delivery applications to offer cost-efficient delivery through crowdsourced vehicles. The increasing demand from users for fast delivery led to the adoption of Unmanned Aerial Vehicles (UAVs) due to their speed and cost, for instance, in peak hours. However, existing frameworks do not offer a comprehensive solution that utilizes vehicles and UAVs for transparent, timely, and cost-efficient delivery. This paper proposes a novel supply chain management framework on a consortium blockchain with last-mile delivery through crowdsourced vehicles and UAVs. The blockchain-based framework aims to provide last-mile delivery for time-critical tasks in a transparent and cost-efficient manner. A blockchain-hosted Gale-Shapley Matching mechanism is designed for allocating delivery tasks to UAVs and vehicles that will perform them timely and cost-efficiently. The allocation mechanism is incorporated in the proposed management framework consisting of smart contracts that autonomously respond to members' interactions. In addition, the framework stores the supply chain process data transparently and immutably. The performed experiments explore the feasibility of the proposed solution showing the increase in task allocation percentage (at least 6%) and reward (at least 50%) while reducing the delivery time (at least 23%) compared to the considered benchmarks.

A carbon neutral supply chain management by considering emission-risk minimization and green purchasing through optimal decision-making

This study addresses critical gaps in supply chain management (SCM) by integrating emission-risk minimization (ERM), green purchasing (GP), and profit maximization (PM). The research focuses on the optimal behaviors of manufacturers, agents, and retailers within the SCM framework to achieve carbon neutrality and reduce carbon dioxide emissions (CO2e). This study considers Guangdong province, China, a region facing challenges in optimizing energy systems and meeting CO2e reduction targets. Simulation-based optimization techniques within mathematical models are employed. A design of experiment (DOE) method was used to explore the dynamics of key variables in the SCM environment. Results reveal optimal behaviors for manufacturers, agents, and retailers, demonstrating the ideal values for profit and pricing decisions. Manufacturers optimize production quantity, achieving CO2e reduction and PM through ERM. Agents exhibit a strong commitment to GP practices, enhancing PM and carbon-neutral goals. Retailers get more PM than manufacturers and agents, contributing to a clean environment. Interestingly, retailers make contributions to the clean environment without considering ERM and GP in SCM. The study contributes novel insights by addressing the identified gap in SCM research, emphasizing the joint consideration of ERM, GP, and PM. This research assists manufacturers, agents, and retailers in terms of PM for economic objectives. It cleans the environment through carbon-neutral SCM in society.

THE IMPACT OF EMERGING TECHNOLOGIES ON SUPPLY CHAIN MANAGEMENT IN THE MILITARY ORGANIZATION

This paper provides a general exploration of the transformative impact of emerging technologies on supply chain management in the military organization. It highlights the integration of advanced technologies such as artificial intelligence (AI), blockchain and autonomous systems, highlighting their profound effects on improving operational efficiency, security and real-time supply chain management. The study assesses the balance between improved logistics capabilities and the complexities introduced by these technologies, including concerns about dependency and cyber security. Through a technological innovation perspective, the paper proposes a conceptual framework of military supply chain management, proposing a future-oriented strategy for supply chain management in the military organization in an adaptive and resilient manner. This research is essential in understanding the synergy between cutting edge technology and military logistics in the modern era.

Assessment Of Supply Chain Collaboration in Case of The Seaport Logistics of Iron Ore Export: Use of The Supply Chain Management Framework

Global seaport logistics has attained importance in the context of globalization. Complexities of global seaport logistics have necessitated collaboration of supply chains using the seaports.
 The mining companies and associated manufacturing companies are heavily dependent on seaport logistics for import of key raw materials such as Copper Concentrate, Coal, Iron ore, Dolomite, Bauxite as well as the export of the mined product. The objective of this research is to carry out an assessment of the level of supply chain collaboration in case of a supply chain pertaining to the export of iron ore. For this purpose, we used a supply chain management approach in the analysis of the supply chain of ABC, a company engaged with the mining and export of iron ore. More explicitly we referred to the supply chain management framework defined by Ahmad and Ullah (Ahmed & Ullah, 2012). We gathered the needed information by conducting semi structured interviews with the officials of ABC.

Blockchain in supply chain management: A review of efficiency, transparency, and innovation

As global supply chains become increasingly complex, traditional systems face challenges in ensuring efficiency, transparency, and innovation. Block chain technology has emerged as a transformative force in addressing these issues, offering a decentralized and secure framework for supply chain management. This paper presents a comprehensive review of the impact of block chain on supply chains, focusing on its potential to enhance efficiency, transparency, and foster innovation. The efficiency gains facilitated by block chain in supply chain management are examined through the elimination of intermediaries, reduction of paperwork, and real-time visibility into the entire process. These improvements result in streamlined operations, reduced costs, and enhanced responsiveness to market dynamics. Moreover, block chain’s decentralized nature ensures data integrity, mitigating the risk of fraud and errors in the supply chain. Transparency is a critical aspect of modern supply chains, and block chain provides an immutable and transparent ledger that enables end-to-end visibility. The technology ensures traceability and accountability, allowing stakeholders to access real-time information about the origin, movement, and status of products. This transparency not only enhances trust among supply chain participants but also facilitates compliance with regulatory requirements. The role of block chain in fostering innovation within supply chains is explored, emphasizing its potential to enable new business models, collaborative ecosystems, and the integration of emerging technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI). The paper highlights case studies and pilot projects where block chain has been successfully applied to drive innovation in supply chain processes. Challenges and considerations related to the implementation of block chain in supply chain management are also discussed, including interoperability, scalability, and regulatory issues. The paper concludes by outlining future research directions and emphasizing the need for industry-wide collaboration to unlock the full potential of block chain in revolutionizing supply chain management. Overall, this review contributes to the understanding of how block chain can serve as a catalyst for efficiency, transparency, and innovation in contemporary supply chains

How to promote ambidextrous innovation through integration with supply chain partners? The role of external knowledge acquisition and cooperative goal interdependence

ABSTRACT In today’s fiercely competitive environment, integration with supply chain partners and the acquisition of external knowledge have become increasingly important strategies for mitigating the resource tension between exploration and exploitation. The purpose of this paper is to examine the relationship between supply chain external (suppliers and customers) integration and ambidextrous innovation, with a focus on the mediating effect of external knowledge acquisition and the moderating effect of cooperative goal interdependence based on Chinese firm-level data. The empirical results of this study reveal several important findings. First, supplier integration and customer integration have positive effects on ambidextrous innovation. Second, supplier integration and customer integration are more beneficial for ambidextrous innovation in firms holding higher cooperative goal interdependence with both suppliers and customers than in firms holding lower cooperative goal interdependence with both suppliers and customers. Finally, external knowledge acquisition partially mediates the effects of supplier integration and customer integration on ambidextrous innovation. These findings provide top managers with important insights into the role of supply chain external integration in the promotion of ambidextrous innovation. This research also contributes to the literature on ambidexterity theory and enriches the knowledge management literature within the supply chain management framework.

Evolutions of sustainable supply chain management in emerging economies: A literature review

The escalating demand for items and their consumption has exerted immense pressure on industrial production and supply chain systems, leading to adverse environmental and societal consequences. The rise in pollution rates and ecological disasters resulting from industrial production has prompted numerous scholars and industry specialists to focus on Sustainable Production and Consumption matters within the framework of Sustainable Supply Chain Management (SSCM). The interest in sustainable supply chain management has significantly increased in recent years, spanning both business and academic sectors. This phenomenon is seen in the growing prevalence of papers, conferences, specialized periodicals, and websites exclusively focused on the subject matter. Nevertheless, the importance of sustainable development in developing economies has only just started to be acknowledged. This literature review aims to assess existing research on sustainable supply chain management (SSCM) in developing nations while considering a worldwide perspective. This paper thoroughly examines the rapid expansion of the subject from an evolutionary perspective; aimed at comprehending the progression of sustainability concerns by examining patterns across different industries, and economies, and employing diverse approaches. An extensive thematic analysis was conducted on 56 selected publications published between 2010 and 2023, emphasizing the growth and significance of the knowledge base. The analysis is conducted utilizing a descriptive and content-oriented methodology. Subsequently, the results are presented, demonstrating an increasing interest in Sustainable Supply Chain Management (SSCM). Nevertheless, there is a conspicuous discrepancy in the extent of research carried out on this subject in emerging economies as opposed to industrialized ones. The findings indicate that the context in less developed countries plays a crucial role in carrying out empirical or case study research. Moreover, it is crucial to analyze how the integration of the three dimensions of sustainability impacts the efficiency of the supply chain, especially when considering the perspective of an emerging economy. Hence, the limitations of this investigation are delineated. Ultimately, it is crucial to do further research from multiple angles within the supply chain, encompassing collaboration, sustainable practices, innovation, sourcing, and supplier growth, with a special emphasis on the position and background of rising countries.

An IoT and Blockchain-Based Secure and Transparent Supply Chain Management Framework in Smart Cities Using Optimal Queue Model

An IoT and Blockchain-Based Secure and Transparent Supply Chain Management Framework in Smart Cities Using Optimal Queue Model

Regional bioethanol supply chain optimization with the integration of GIS-MCDM method and quantile-based scenario analysis

This study presents a novel decision-support framework for the bioethanol supply chain network planning and management under uncertainties. Under the holistic framework, the most suitable sites for biorefineries are first screened out by adopting a GIS-based multi-criteria decision-making approach. Then, a mixed-integer linear programming model combined with quantile-based scenario analysis is developed to determine the strategic planning (i.e. locations and size of biorefineries) and tactical management (i.e. biomass purchasing, feedstock transportation, bioethanol production, and product delivery) under uncertainties. The model can effectively search for reliable solutions under uncertainties and achieve tradeoff solutions with the consideration of decision makers’ risk tolerance. The proposed framework is demonstrated through a case study in China. It is suggested to build seven biorefineries with a capacity of 100 million liters in Zhumadian city. Utilizing 41% of local agricultural residues could satisfy the bioethanol requirement in the transportation sector under the E20 policy. However, the estimated production cost of bioethanol in Zhumadian is very high, about 1.11 $/L, which makes it lose cost advantage in the fuel market. Thus, currently, effective subsidies, mandatory energy substitution policies, along other environmental regulatory measures are desired to promote the bioethanol industry development.

Systematic Post Crisis Tourism Supply Chain Transformation Towards Resilience in the Context of Tour Operators

The significance of this manuscript lies in the aftermath of the COVID-19 pandemic, officially declared by the World Health Organization (WHO) on the 30th of March, 2020, and its persistent influence on a global scale even after a span of three years. This unprecedented event has instigated impediments across diverse economic domains, with tourism and its intricate supply chains emerging as the most severely affected. The executed investigation delves into intra-organizational transformations within the framework of tourism supply chain management, particularly through the lens of tour operators, amidst the temporal landscape of both the pandemic era and its aftermath. Notably, numerous extensive service providers in the tourism sector have implemented strategies pertaining to tourism supply chain management transformations. Consequently, this article focuses on the efficacious transformations of tour operators, addressing pivotal constituents. The research findings delineate the repercussions induced by the pandemic on tour operators in Lithuania and consequently propose a resilience framework, contributing to the broader understanding of post-pandemic tourism supply chain transformation towards adaptability and resilience strategies.

Developing a resilient and sustainable non-linear closed-loop supply chain management framework for the automotive sector industry using a gaussian fuzzy optimization based non-linear model predictive control approach

ABSTRACT Efforts to merge sustainability and resilience within the automotive industry’s supply chain models have proven challenging. This paper proposes a novel non-linear closed-loop supply chain management framework tailored to the tire industry supply chain from the automotive sector to address the issue of exploring interrelationships. Framework employs trapezoidal linguistic cubic fuzzy Z-score technique for order of preference by similarity to the ideal solution ranking approach to prioritize resilience strategies to maintain sustainability performance during sudden disturbances. Furthermore, Gaussian fuzzy optimization-based non-linear model predictive control acts as a feedback controller to integrate sustainability and resilience by providing a stable output based on the objective function related to sustainability dimensions. An experimental study assesses the impact of resilience strategies on total supply chain costs, highlighting significant cost savings. Adopting strategies like multiple sourcing, information sharing, and improved design quality of the supply chain keeps total expected costs optimal for various sustainability levels.

AgriBlock: A Blockchain based Framework for Agricultural Supply Chain Management

To facilitate complex interactions between regional players and the agricultural environment, modern agriculture supply chains have arisen. Supply chain processes that include several parties, such as production, processing, and delivery, interacting with one another. Lack of transparency in the agricultural supply chain is a major contributor to the incidence of fraud in this industry. A lack of openness on the part of organisations leads to worries about potential financial losses, diminishing customer trust, and dwindling brand value. Several fundamental changes to the existing supply chain architecture are required to foster the development of an effective and reliable trade environment. It is widely recognised that blockchain technology has the potential to increase visibility across agricultural and food supply chains. Businesses are using blockchain and IoT to implement more egalitarian, sustainable, and consumer-friendly methods of food production. Based on what we learned, blockchain technology may be useful in the push for a more transparent and responsible food supply chain. The primary goal of this study is to create a decentralised application framework called AgriBlock that can be used for managing the supply chains of agricultural products using blockchain technology. The developed work AgriBlock will aid in making the supply chain process more open and clear to every participant involved.

Can blockchain technologies enhance environmental sustainable development goals performance in manufacturing firms? Potential mediation of green supply chain management practices

AbstractThe nexus between manufacturing firms and the green environment is unavoidable. It is merely due to the huge waste generation and greenhouse gas emissions resulting from large‐scale production and complex supply chain management processes involved in manufacturing firms. Continuation of the traditional business practices during Industry 4.0 made it impossible for the manufacturing firm to commit to green environmental practices and comply with environmental SDGs. At odd, it requires novel business strategies to ensure compliance of manufacturing firms with environmental sustainable development goals (SDGs). Blockchain is an ideal technology for delivering green environmental‐related information because it offers real‐time, shareable, and entirely transparent data kept on an immutable ledger that is accessible to members of a network. These green environmental‐related information received in real‐time through blockchain technology help in the transformation of the traditional supply chain management practices into a more green supply chain management practice. This green transformation ensures business compliance with environmental SDGs and that compliance is shared with multiple stakeholders through blockchain technology in real‐time, thus approving a positive mediating role of green supply chain management practices between blockchain technology and environmental SDGs performance. The proposed strategic framework through various propositions development will mainly offer policy insights toward (a) identifying novel antecedents of blockchain technology, (b) offering insights toward upgrading the traditional supply chain management framework into a green supply chain management framework, and (c) illuminating novel mediating role of green supply chain management practices between blockchain technology and environmental SDGs performance.

On potential strategic framework for green supply chain management in the energy sector using [formula omitted]-rung picture fuzzy AHP & WASPAS decision-making model

The present communication deals with addressing the problem of handling the uncertainties in the process of green supply chain management system through an integrated approach that takes the information in the form of q-rung picture fuzzy sets and quantitatively blends it into the decision-making techniques of Analytic Hierarchy Process (AHP) and Weighted Aggregated Sum Product Assessment (WASPAS). The proposed model has been implemented in stage-wise form for outlining the potential strategic plans for green supply chain management in the energy sector. At every phase of the study, the detailed analysis has been presented in an interlinked manner for solving the underlying problem of decision-making. A brief sensitivity analysis and comparative study of the potential strategic plans with respect to the deterministic parameters have been performed for better understanding, consistency, and reliability. The findings of the propositions illustrate that while making prioritization for potential strategic plans, concentrating on utilizing customer relationship management to meet the needs of the customers is more prominent than examining the procedure for developing new services and products.

Analytic network process in economics, finance and management: Contingency factors, current trends and further research

This study explores the recent use of the Analytic Network Process (ANP) in the decision process in the areas of economics, finance and management to identify common contingency factors, current trends, representative studies and directions for further research applications in the target areas. A systematic literature review of 434 ANP studies for a 10-year period (2012–2021) within the Scopus database was conducted using the keyword “Analytic Network Process” in articles indexed in the following two categories: (1) Business, Management and Accounting, and (2) Economics, Econometrics and Finance. Further analysis using a citation-based graph and contingency analysis approaches was performed to identify usage trends. Our findings indicate that the most common ANP applications are with sustainable supply chain management and business evaluation frameworks. There is also a trend of applications engaging stakeholders in the decision-making process. Finally, it was found that the ANP is most commonly used as part of a multicriteria multi-method (a method followed by others) or integrated decision-making (hybridization of methods) approach rather than alone. The most common use (>80%) of the ANP is as part of a multi-method or integrated method with other tools such as DEMATEL, which suggests these approaches, in particular integrated ones (>50%), are becoming the preferred method of analysis to simplify the ANP process. From a practical point of view, it was found that the ANP is particularly utilized in sustainable projects to facilitate the participation of various stakeholders. This is the first focused review of the use of the ANP in the areas of economics, finance and management with an emphasis on its application as well as its contingent factors. Also, representative studies have been highlighted in each area. Traditional reviews have not delved deeply into the areas and contingent factors that this study explores.