Industry Supply Chain Research Articles

Research on the Application of Green Supply Chain Management: Based on SCOR Model

This paper takes Apple Inc. as the research object and explores the green supply chain management issues based on the SCOR model. By combining the SCOR model through the theoretical framework and the characteristics of Apple's supply chain, management practice suggestions are made to reveal Apple's green performance in terms of environment, resources, and social responsibility. The study results show that Apple performs better in green procurement and marketing, but is slightly inferior in green recycling storage, and transportation. This provides valuable ideas for Apple's subsequent industrial sustainable development strategy, as well as lessons and references for other companies and industries, helping to promote the green development of the entire supply chain industry. In the future, it will be a key area to continue in-depth research on promoting and optimizing green supply chain practices in different industries and enterprises of different sizes.

Conquering the Last Leg: A Deep Dive into Overcoming Obstacles in the Ultimate Hurdle of Supply Chain Navigation

In the dynamic and challenging landscape of the logistics industry, Asha Incorporation has emerged as an impressive player, driven by a visionary duo, Mr. Mayur Ramteke and Mr. Rishi Thakre. Established during the COVID era, Asha Incorporation has rapidly carved its niche as a trusted logistic firm in Nagpur, they have built a reputation for excellence in supply chain management. The formation of Asha Incorporation by two friends, one with expertise in logistics and the other in supply chain management, stands as a testament to the power of experience, knowledge, and a strong network. This essay delves into the journey of their entrepreneurial endeavor, exploring how their past experiences and extensive connections have contributed to their company's success in the logistics and supply chain industry. Strong belief in key principles is their business philosophy that has been instrumental in shaping their success. These values include adhering to the idea of "cash and carry," cultivating positive relationships with clients and partners, building a strong network of partnerships, and placing a firm focus on completing deadlines. This case study will drive into the remarkable journey of Asha Incorporation for exploring the strategic decisions, innovative practices, and unwavering determination that have launched them in supply chain management. Through a meticulous examination of its operational strategies and core values, Asha Incorporation has earned the trust and respect of its clients and stakeholders. As we unveil into the intricate details of Asha Incorporation's growth story, we hope to uncover valuable insights that will inspire and guide both aspiring entrepreneurs and established businesses in the logistics domain. By understanding how this young firm navigated the challenging waters of the logistics sector and overcame adversities, helped them to acquire a remarkable position in the highly competitive global market.

Rising need of Automation in Logistics and Supply Chain Industry

Rising need of Automation in Logistics and Supply Chain Industry

Intelligent Engines: Revolutionizing Manufacturing and Supply Chains with AI

Artificial intelligence (AI) technologies are becoming a reality, with intelligent engines that can learn and simulate human thinking. These engines have three key features: micro-level intelligence with sensors, logic-based intelligence with software tools, and the ability to adapt and learn using algorithms. AI reduces the need for human intervention and cognitive thinking, finding more efficient solutions to complex problems in manufacturing and supply chain industries. AI simulates human cognition using software tools, allowing for the automation of tasks and analysis of complex systems. However, it raises questions about whether problems can be solved differently and the limitations of explicit algorithms.

Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model

The resilient food supply chain (RFSC) has been identified as an effective model for mitigating food supply chain (FSC) risks. However, there exist many barriers impacting the implementation of the RFSC. Further, previous studies seldom utilize integrated decision models for identifying and ranking the barriers to implementing RFSC within uncertain environments. Thus, the study establishes an interval-valued Fermatean fuzzy (IVFF) decision framework to identify and rank these barriers. The framework is classified into four stages. First, to model the interaction between preference information, we introduce the IVFF-prioritized weighted average (PWA) operator to collect this information. Then, an integrated IVFF-CRITIC method is proposed to calculate the barrier weights considering their inter-correlation relationships. Next, the IVFF-PWA operator and IVFF-CRITIC method are incorporated into the PROMETHEE-II model to rank the barrier levels of alternative participation in the FSC. Further, a case study about analyzing implementation barriers to RFSC is employed to test the effectiveness and practicality of the presented framework. The result shows that the participation food processing company (priority: 0.161) has the highest barrier level. The findings of this article may offer decision support to stakeholders for mitigating the barriers to implementing a resilient supply chain in the food industry.

Addressing Environmental Challenges in Technology Adoption within the Digital Supply Chain of Readymade Garments

The study aims to investigate the challenges of technology adoption in the Digital Supply Chain (DSC) of the Readymade Garment (RMG) business, focusing on environmental barriers. The study utilizes the T-O-E framework to examine a sample of 380 participants, consisting of owners and top managers from RMG facilities. The data is analyzed using PLS-SEM Modeling with the aid of SmartPLS4 software. It examines the complex interrelationships between competitive pressure, consumer, external support, stakeholder networks, environmental concerns, and technology adoption within the digital supply chain of the RMG industry. The technology adoption is substantially influenced by environmental conditions, particularly regarding the alignment with customers. The analysis of mediation sheds light on the significance of the environment in both partial and complete mediation, as it exerts influence on competitive pressures, customer involvement, external support, and stakeholder networks. Comprehending this interrelationship is crucial for making well-informed business and policy formulation decisions. organizations must incorporate environmental factors into their strategic decision-making processes, ensuring sustainable technologies are adopted. Policymakers can employ these findings to implement environmentally sustainable policies, promoting innovation within the RMG sector. These measures guarantee the long-term viability of the industry and promote ecological accountability.

Research on Human Resource Management in Improving Supply Chain Efficiency

The supply chain, being an intricate network comprising numerous connections and resources, requires the coordination of multiple aspects to guarantee its seamless operation. The involvement of human resources is crucial in this process and has a beneficial influence on the efficiency of the supply chain. Recruiting and training people who possess the necessary skills and expertise is essential for maintaining the efficient functioning of the supply chain. Additionally, effective risk management and resilience are crucial for addressing diverse challenges and potential hazards within the supply chain. This paper employs a theoretical research method mixed with the analysis of actual instances. Its aim is to offer practical counsel to organizations and provide sound recommendations for decision-making in the supply chain industry.

Risk Factors of Perishable Product Supply Chain: Literature Review and A Proposed Framework for Future Research

United Nations statistics show that about one-third of globally transported perishable products are annually wasted due to damage. Where in the perishables supply chain is most likely to go wrong and how can this be corrected or prevented? This article aims to review the literature 50 articles related to the risk factors of perishable products supply chain and cluster the risk factors of perishable products supply chains. Identifying 140 risk factors from 235 risk factors through duplication filtering. And the researcher therefore clusters of risk factors with hierarchical clustering (divisive: distance matrix) into 19 clusters by KNIME machine learning. These findings offer valuable insights for future research on orchid’s supply chain risk management for sustainability in Thailand, top global orchid exporter. For the benefit of orchid supply chain stakeholders in Thailand can develop appropriate and sustainable supply chain risk management in the future. Thailand 3rd National Logistics Development Strategy (2017-2021) emphasizes cold chain logistics to elevate agricultural and industrial supply chains to meet standards. Implementing a cold chain system is vital to reduce losses, enhance traceability, and lower production costs.

How does digital transformation promote supply chain diversification? From the perspective of supply chain transaction costs

Companies must implement digital transformation to achieve supply chain diversification with the current volatile economic conditions, which is crucial for their survival and as a fundamental measure to ensure industrial supply chain resilience and security. Based on A-listed companies, this paper systematically examines the impact of digital transformation on supply chain diversification, exploring the underlying mechanism of this effect from the transaction cost perspective. This paper reveals that digital transformation can significantly promote upstream suppliers, downstream customers, and the whole supply chain diversification. This impact operates mainly through the reduction effects of supply and demand coordination and inventory transportation costs.

Corporate social responsibility, supply chain management, and football industry: a systematic review

This study examines the literature on supply chain management and corporate social responsibility within football. A systematic search of eight databases yielded 1222 articles, subsequently reduced to 107 after a combination of duplication removal and both abstract and full-text analysis. The review showed that only some studies have investigated CSR, SCM, and football simultaneously. Clustering reveals the current state of scholarly research on CSR in football industry supply chains and some significant areas where the authors discuss several sub-themes emerging with each cluster. The synergistic and miraculous role of attention to the trilogy between SCM, CSR, and the football business is crucial in creating the most advantages in society. We conclude that CSR, with the firm’s Environmental, and Governance-based engagement, can lead to sustainable supply chains and higher efficiency. We have suggested that CSR in football supply chains helps develop the football industry and increase public trust and social welfare.

Managing Operations and Supply Chains in Automotive Industry

Profitability, customer satisfaction, and innovation in the cutthroat automobile industry depend on well-managed operations and supply networks. Managing operations and supply chains in the automotive industry is complex, and this paper lays forth a comprehensive framework for doing so. An integral part of effective operations management in the automotive industry is demand forecasting and planning. Using collaborative forecasting methodologies, market trend analysis, and advanced analytics, automotive manufacturers can improve production schedules, minimize inventory costs, and foresee changes in demand. Reducing waste, enhancing process efficiency, and managing low inventory levels are all achieved through the use of lean manufacturing techniques like Just-in-Time (JIT) production and Total Productive Maintenance (TPM). Collaboration with suppliers, uninterrupted material flow, and supply chain innovation can all be achieved through supplier relationship management (SRM). Automakers may enhance product quality, cut costs, and lessen supply chain risks by communicating openly, working together to improve processes, and forming agreements that benefit all parties involved. Automobile companies can't afford to have any product flaws that damage their reputation or the loyalty of their customers, which is why quality management is so important in this industry. Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), and Six Sigma are a few of the rigorous quality control methods that manufacturers use to find and rectify flaws early

A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer

Emerging technology presents itself as a futuristic solution since its early development stage in the industry. Concurrently, the industry has proposed framework implementations as well as efforts to integrate emerging technologies in the supply chain, particularly in logistics. This study aimed to unveil the applicability of either supply chain or logistic functions in the present industry. This study used Publish and Perish to mine academic document data based on the keyword ‘Logistic’ and ‘Emerging technology’ in the past five years. Furthermore, the retrieved data were compiled and processed as a bibliographical map to visualize relevant clusters as the bottom-line discussion for this study. Five clusters had different items/keywords associated with them, excluding clusters three and four which were discussed in tandem. Cluster one revealed that AI and blockchain could support manufacturers for a circular economy business model through reverse logistics operations in the pandemic. Cluster two was a bigger picture discussing enhancement efficiency and risk reduction in the supply chain using AI, blockchain, and IoT. Clusters three and four had overlapping keywords specifying the discussion of blockchain implementation for the Agri-industry in China. Finally, cluster five reaffirmed the conceptualism of emerging technology integration for transportation from other clusters. Despite a unanimous agreement on the potential use of emerging technologies, challenges were also found, such as complex implementation, uncertain investment, and technology immaturity accompany. Thus, as the implication of this research, it reveals the capabilities and issues of the implementation of emerging technologies within multiple aspects of logistics and supply chain.

Factor analysis of environmental effects in circular closed‐loop supply chain network design and modelling under uncertainty in the manufacturing industry

AbstractSustainable development and competitive advantage are impacted by strategic choices that maximize resource value and reduce waste. Numerous instances of thriving OEM remanufacturing can be observed, predominantly in the business‐to‐business domain. The significance of Closed‐Loop Supply Chain (CLSC) in generating value and managing the recovery process is widely acknowledged within the supply chain industry. Manufacturing companies now have to come up with green supply chain and process design strategies in response to recent changes in environmental regulations. This study designates the specific features of circular closed‐loop supply‐chain design considering end‐of‐life products. Uncertainty in various aspects, such as acquisition, processing, and market stages, is impeding the progress of circular economies and also sustainable development in closed‐loop supply chains (CLSCs). This has led to increased complexity in remanufacturing processes and decreased efficiency. To address this issue, the study proposes a comprehensive, integrative approach for establishing a sustainable CLSC network that adapts to fluctuating demand through a questionnaire analysis. Moreover, the study introduces a multi‐objective optimization model for a dual‐channel supply chain network, aiming to enhance the flow. This model considers both economic and environmental objectives to achieve a sustainable and efficient supply chain system. To determine the ideal circular closed‐loop supply chain (CLSC) network design, the research proposes linear programming model with mixed integer, where recovery can take place in one of three ways: through material recovery, component recovery, or product recovery. Numerous findings from a thorough analysis by data backup that inform CLSC managers of ways to improve product returns in terms of quantity and quality. To address the uncertainty problem, the research also developed the fuzzy credibility constraint technique with a Simulated Annealing algorithm. Using cutting‐edge methods, it is explored and compared how sensitivity analysis results, the impact of altering the problem parameters, and the performance of the suggested model respectively.

Identification of supply chain risks in the tobacco products industry in Pasuruan Regency using the supply chain operations reference (SCOR) and house of risk (HoR) model approaches

Introduction: This research aims to identify types of risks and sources of risks, analyze risk priority levels, and formulate mitigation strategies for the tobacco products industry supply chain in Pasuruan Regency. Methods: This research was conducted at the tobacco products industry PT. XZ in Pasuruan Regency. Respondents focused on company managers (focal firms), namely product development, raw material management, research and development pilot plant and tobacco clue management who knew about supply chain risks. Supply chain network integration uses a snowball method approach. Data collection methods use primary and secondary data. At the interview stage, the Delphi method was used to identify risk events and risk sources. Furthermore, the results of the interview were identified using the Supply Chain Operation Reverence (SCOR) and House of Risk (HoR) models. Results: There are 39 risk events and risk agents in the IHT in Pasuruan Regency. There are eight risk priority levels for tobacco supply chain risk agents using the SCOR approach and the Pareto diagram, namely workers not paying attention, problems with machines, high rainfall/high rainfall, production machines need to be repaired, workers' skills are not good, production machines are old, handling bad goods, and errors in the machine. Conclusion: The results of the IHT supply chain risk mitigation strategy formulation are tightening the use of work SOPs, checking production machines regularly, strengthening information between agents and factories, checking machines every 4 hours, conducting worker training, using Google Maps technology in delivering goods, cleaning machines, maintaining product quality, drying/air-drying tobacco leaves, improving quality control during transactions with farmers, and increasing coordination with the Government.

지정학/지경학의 이중 도전과 한국의 경제안보 전략

This article sheds light on the dual nature of South Korea's economic security strategy: long-term continuity and changes that reflect structural shifts in the internal and external environment. South Korea’s economic security strategy has undergone several phases of transformation from the early 1960s to the present, while maintaining continuity. The continuities of South Korea’s economic security strategy are the combination of geopolitics and geo-economic responses, the lack of economic coercion, the mercantilist character, and the industrial policy-based strategy. One can also find a change in South Korea’s economic security strategy in that it closely integrates high technology into its economic security strategy. Specifically, it involves reducing vulnerabilities in the supply chain of high-tech industries, strengthening high-tech capabilities, and combining industrial policy and high-tech strategies.

Agent-based modeling of banking service supply chain in Industry 4.0: A case study of Resalat Qard al Hasan Bank

Purpose: Industry 4.0 has profoundly impacted the structure of businesses and organizations worldwide, and the digital revolution has led to the transformation of the supply chain of various industries, including the supply chain of banking services. Therefore, it is necessary to redesign the supply chain in the new era. Methodology: This study investigated the supply chain of banking services of Industry 4.0 and its simulation based on agent-based modeling. This research model simulates the profit flow and other important financial variables related to agents such as customers, banks, fintechs, and other players in the supply chain of digital banking services. Findings: The simulation results in different time periods show the amount of changes in important parameters in the face of digital transformations in Industry 4.0. Factors such as the connection of organizations and fintechs to the supply chain of banking services, as well as the removal of physical branches and the use of digital tools, change the structure of the chain in terms of information evolution, service evolution, and financial evolution. Originality/value: This paper is one of the first studies to analyze the effects of Industry 4.0 on the banking service supply chain and can be considered a starting point for digital banking supply chain studies.

A Review of Investigation of Supplier Evaluation and Development Practices in Supply Chain of Construction Industry

A Review of Investigation of Supplier Evaluation and Development Practices in Supply Chain of Construction Industry

Examination of upstream supply chain and logistics issues in the US logging industry

AbstractUsing a mixed methods approach, this study investigates upstream supply chain and logistics issues in the logging industry through the findings of (1) a systematic literature review and (2) an inductive and interpretive case study of Mississippi, a top timber‐producing state in the United States. First, we analyze 45 peer‐reviewed studies examining logistical challenges in the logging industry via a systematic literature review to identify existing cumulative knowledge. Then, we conduct 11 qualitative semistructured interviews with logging business owners/managers to understand better complex and interdependent logistics issues that negatively impact productivity and profitability in the upstream timber supply chain. Performing a comparative analysis of the systematic literature review results and interview findings, we propose a general conceptual framework that classifies 25 logistical challenges in three main areas. They are (1) supply chain issues, (2) company‐, and (3) industry‐specific issues. Finally, using an abductive reasoning approach, we generalize our findings by linking our conceptual framework to resource dependence theory, transaction cost economics theory, and carrier selection literature to develop propositions to guide future quantitative research efforts.

A multi-criteria model of supply chain sustainability assessment and improvement for sugarcane agroindustry

The sustainability of the sugarcane agro-industry supply chain plays a crucial role in providing economic benefits, minimizing social and environmental impacts, and optimizing resource utilization. This research aims to analyze the sustainability performance of the sugarcane agro-industry supply chain using multi-criteria assessment and formulate strategies for sustainability improvement. The study proposes a multi-criteria assessment model with twenty-eight indicators and four dimensions of sustainability: economic, social, environmental, and resources, which were developed based on previous research. The fuzzy inference system (FIS) and multi-dimensional scaling (MDS) methods were utilized to analyze the multi-criteria indicators of sustainability performance in each dimension and overall supply chain. The Adaptive Neuro Fuzzy Inference System (ANFIS) model was used to aggregate multi-dimension sustainability to achieve overall sustainability performance. A fuzzy cognitive map (FCM) framework was developed to formulate strategies for improving the sustainability performance of the supply chain. The research was verified at two sugar mill locations in Java Island, Indonesia. The FIS and MDS models successfully analyzed the sustainability performance of the two sugar agro-industries, showing an average value of “quite sustainable”. The overall sustainability performance using the ANFIS model for mill A and B were 57.2 and 61.9, respectively. Series of FGDs combined with the FCM model successfully formulated five clusters of strategies as initiatives in improving the sustainability performance, namely raw material provision, harvesting and post-harvest activities, production process optimization, IT-based technology implementation, and institutional aspects. This present work seeks to contributes to the development of multi-criteria of sustainability performance for the food industry's supply chain. It also proposes a comprehensive framework for analyzing and improving sustainable supply chain performance under uncertainty using a combination of conventional and fuzzy assessment modeling approach. A practical initiative strategy in sustainability improvement is revealed for the sugarcane agroindustry's supply chain.

Industrial Chain, Supply Chain and Value Chain in the Energy Industry: Opportunities and Challenges

Ongoing geopolitical conflicts, frequent energy trade wars, and related issues significantly undermine the globalization of the energy market [...]