Supply Chain Management Strategies Research Articles

Green thinking: impact of smart technologies on supply chain management

Green thinking: impact of smart technologies on supply chain management

Blockchain self-update smart contract for supply chain traceability with data validation

Abstract A sustainable supply chain management strategy reduces risks and meets environmental, economic and social objectives by integrating environmental and financial practices. In an ever-changing environment, supply chains have become vulnerable at many levels. In a global supply chain, carefully tracing a product is of great importance to avoid future problems. This paper describes a self-updating smart contract, which includes data validation, for tracing global supply chains using blockchains. Our proposal uses a machine learning model to detect anomalies on traceable data, which helps supply chain operators detect anomalous behavior at any point in the chain in real time. Hyperledger Caliper has been used to evaluate our proposal, and obtained a combined average throughput of 184 transactions per second and an average latency of 0.41 seconds, ensuring that our proposal does not negatively impact supply chain processes while improving supply chain management through data anomaly detection.

Supply chain integrating sustainability and ethics: Strategies for modern supply chain management

This review paper explores the integration of sustainability and ethics in modern supply chain management, emphasizing the need for organizations to align their operations with environmental and social responsibilities. The objective is to synthesize existing research and practices to propose a comprehensive strategy for sustainable and ethical supply chain management. The paper employs a systematic literature review, analyzing over 150 peer-reviewed articles and industry reports to assess the evolution of sustainability and ethics within supply chains. The research focuses on identifying core themes, challenges, and successful practices documented in the existing body of knowledge. Key findings indicate that successful integration hinges on organizational commitment, regulatory compliance, and stakeholder involvement. The paper identifies transparency, traceability, and collaboration as pivotal elements that drive ethical and sustainable practices. Furthermore, it discusses the role of technological advancements such as block chain and AI in enhancing these practices. The conclusion posits that integrating sustainability and ethics not only mitigates risks and enhances compliance but also provides competitive advantages in terms of innovation and market positioning. The paper recommends a strategic framework that includes policy development, training programs, and technology adoption to foster a culture of sustainability. By providing a comprehensive review of current methodologies and outcomes, this paper contributes to the strategic discourse on improving supply chain operations through ethical and sustainable practices, offering valuable insights for academics and practitioners alike.

Penerapan Supply Chain Management di PT Nippon Indosari Corpindo Tbk

This research discusses the application of Supply Chain Management (SCM) at PT Nippon Indosari Corpindo Tbk., one of the leading companies in the bakery industry in Indonesia. Focusing on enhancing operational efficiency and reducing production costs, this study explores how PT Nippon Indosari Corpindo Tbk. integrates advanced technology and Supply Chain Management strategies to maintain product quality while minimizing losses. Through the use of the Just In Time (JIT) concept, Advanced Planning & Optimization (APO) tool, and Radio Frequency Identification (RFID), the company has successfully improved inventory management, expedited distribution, and maximized customer satisfaction. The research findings show that effective SCM implementation has reduced the bullwhip effect, increased transparency in the flow of raw materials and finished products, and supported the sustainability of the company's operations. Thus, this study provides important insights into the benefits of SCM in the food and beverage industry, especially for companies operating on a large scale with dynamic market demands

Development of a green supply chain management strategy for the aquaculture industry: The case of the common carp (Cyprinus carpio L.) hatchery industry in Ciparay District, West Java, Indonesia

Green Supply Chain Management (GSCM) is important in the sustainable aquaculture industry owing to environmental concerns and to achieve responsible management. However, research on GSCM in aquaculture is limited. This study aimed to develop conceptual framework and strategies for GSCM in carp hatcheries in the Ciparay District, West Java, Indonesia. The GSCM strategy was developed through the following steps: (1) observation and interviews with farmers and literature review to develop conceptual GSCM; (2) interview and questionnaire dissemination to farmers for green supply chain operational reference (SCOR) - Analytical Hierarchy Process (AHP) scoring to determine the performance of hatcheries that meet GSCM standards; and (3) formulation, using findings from green SCOR-AHP, of development strategies using SWOT and Quantitative Strategic Planning Matrix (QSPM) analysis for GSCM strategy development. The results showed that the conceptual GSCM in the aquaculture industry accommodates environment-friendly cultivation, resource management, distribution, waste management, and biosecurity. The performance of the GSCM in carp hatcheries was marginal and required improvement. The improvement was addressed using 12 alternative strategies grouped into environmental collaboration, green manufacturing, and investment recovery. Priority strategies included forming joint farmer groups for collaboration, training programs for green manufacturing, and using fish waste as pellets for investment recovery. Strategies are expected to improve GSCM in the carp hatchery industry and related sectors.

Research on Optimization Strategies for Closed-Loop Supply Chain Management Based on Deep Learning Technology

This study explores the integration of deep learning (DL) technology and the guided simulated annealing algorithm (GSAA) to optimize closed-loop supply chains (CLSC) for sustainable development. By applying DL for predictive analysis and GSAA for optimization, the research aims to enhance CLSC operational efficiency and environmental sustainability. The methodology combines a review of the CLSC framework with practical applications of DL and GSAA, aiming to reduce waste, maximize resource utilization, and minimize environmental impact. An experimental comparison of this approach against traditional optimization strategies demonstrates the proposed method's superior effectiveness and efficiency. The findings reveal that the DL-GSAA optimization significantly improves CLSC sustainability and efficiency, with GSAA showing promising convergence properties. This study underscores the importance of advanced technological solutions in achieving sustainable supply chain management, offering practical insights for businesses and supply chain managers.

Effective concepts of management against the challenges of the modern world: Lean and Agile: competition or cooperation?

Motivation: For a long time, new strategies, concepts and solutions regarding both process management in enterprises and managing the supply chains have been presented in the literature and implemented in business practice. They are to be an alternative to existing concepts. Considerations regarding these concepts focus on the speed of adaptation to changing conditions in the environment, flexibility, diversification and reducing the risk of disruption. The justification for the implementation of new solutions are the conditions and challenges in the environment of enterprises, especially the Covid-19 pandemic, but also economic crises, wars, terrorism, natural disasters, changes in energy prices. An example of such a concept is the Agile strategy. According to some authors, this strategy is a competitive concept to Lean Management. Other authors believe that they are complementary and that there are opportunities to combine them and thus achieve a synergy effect.Aim: The aim of the article is to compare the effectiveness of Lean and Agile process and supply chain management strategies in conditions of environmental instability, based on literature review and own research.Results: Lean and Agile strategies can be combined to some extent. In addition, such a combination may prove to be more effective and more resistant to interference than using “clean” strategies. The result of proper application of both strategies are lower costs, better product quality, higher level of logistics service, greater customer satisfaction and employee involvement, and thus the trade-up effect.

Integrating accounting models with supply chain management in the aerospace industry: A strategic approach to enhancing efficiency and reducing costs in the U.S

This concept paper proposes the integration of accounting models with supply chain management in the aerospace industry as a strategic approach to enhancing efficiency and reducing costs in the United States. The aerospace sector faces numerous challenges, including complex supply chains, stringent regulatory requirements, and cost pressures. By combining accounting principles with supply chain management strategies, this approach aims to optimize operations, improve financial transparency, and foster collaboration among stakeholders. Key objectives of this initiative include streamlining financial processes, enhancing decision-making capabilities, and mitigating risks associated with supply chain disruptions. By leveraging accounting models such as activity-based costing, lean accounting, and performance measurement systems, organizations can gain insights into cost structures, identify inefficiencies, and allocate resources effectively across the supply chain. Moreover, integrating accounting with supply chain management enables real-time monitoring of financial performance metrics, enabling timely interventions and adjustments to achieve strategic goals. This approach also facilitates better coordination between finance and operations teams, leading to improved communication, alignment of objectives, and ultimately, enhanced organizational performance. In the context of the aerospace industry, where precision, reliability, and cost-efficiency are paramount, this integrated approach offers significant benefits. It enables companies to optimize inventory management, minimize waste, and identify opportunities for cost savings throughout the supply chain. Additionally, by fostering a culture of continuous improvement and data-driven decision-making, organizations can adapt more effectively to market dynamics and gain a competitive edge. This concept paper outlines the theoretical framework and practical implications of integrating accounting models with supply chain management in the aerospace industry. Through case studies, best practices, and implementation strategies, it provides a roadmap for organizations to embrace this strategic approach and realize its full potential in enhancing efficiency and reducing costs in the U.S. aerospace sector.

The effects of supply chain management strategies on competitive advantage on food and beverage processing companies; a case study in the Ashanti region of Ghana

The food and beverage industry plays a unique role in expanding economic opportunities because it is universal to life and health. However, the industry’s performance was below average in Ghana and was facing intense competition from the imported food stuffs from overseas. The study adopted quantitative approach with food and beverage processing companies in the Ashanti Region of Ghana as the target population. The target population for the study was hundred selected companies in the SME’s which comprises of fifty respondents in food and fifty respondents in beverage. Structured questionnaires were used to gather primary data in the Ashanti Region of Ghana. Linear regression and correlation statistics were applied to investigate relationship between SCM Strategies and competitive advantage. The study concluded that companies’ competitive advantage is achieved through implementing supply chain agility, collaboration and integration strategies in their networks. The study recommends that the companies should develop a clearly laid down policies and procedures for handling customers’ concerns and also develop interactive websites to achieve effective information sharing and concerns that can be addressed in real time.

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.

A novel Nash-based low-carbon implementation in agricultural supply chain management

The transition to low-carbon agriculture is seen as essential for accelerating the implementation of ecologically friendly and climate-smart agricultural supply chain management strategies. Success in these efforts depends on robust policy frameworks, effective stakeholder participation, and the availability of agricultural products to customers. This study introduces a conceptual and operational structure for the incorporation and management of an agricultural supply chain with a low-carbon scheme through the establishment of a collaborative market environment involving farmers, agricultural enterprises, and consumers. Within this framework, agricultural enterprises and farmers engage in a cooperative Nash game to determine the extent to which they are willing to employ low-carbon practices in response to collaborative market prices and government policies, including subsidies and carbon taxes. The Nash game yields a unique Nash equilibrium, suggesting the possibility of cooperative negotiations among the parties with the goal of improving their financial gains. The proposed model is applied in two Brazilian sugarcane supply chain case studies, integrating with traditional biorefinery mills to produce and market ethanol as a gasoline alternative. Our results suggest that (1) successfully allocating government subsidies and taxes motivates low-carbon adoption; (2) the government taxation policy stabilizes the low-carbon supply chain, improving stakeholder market pricing and consumer affordability; and (3) reduced cost gaps between low-carbon and non-low-carbon alternatives increase low-carbon adoption. As a result, this study provides fresh insights on the Nash collaboration of stakeholders in accordance with government policies to create a cleaner and more affordable agricultural supply chain market.

Exploring the Cross-Correlations between Tesla Stock Price, New Energy Vehicles and Oil Prices: A Multifractal and Causality Analysis

The interaction between new energy vehicle (NEV) stock prices and the crude oil market is crucial for resource allocation and risk management. This study employs Multifractal detrended cross-correlation analysis (MF-DCCA) to investigate the multifractal characteristics of the cross-correlation between Tesla stock price (TSLA) and crude oil price (Brent), as well as between TSLA and other NEV stocks (excluding TSLA). The experimental results reveal long-term persistence and multiple fractal characteristics in the cross-correlations. Additionally, multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA) demonstrates the asymmetry of the cross-correlation during upward or downward trends between TSLA and Brent, as well as between TSLA and other NEV stocks (excluding TSLA). Furthermore, utilizing the transfer entropy (TE) method, we assess the strength and direction of information flows between TSLA and Brent, and between TSLA and other NEV stocks (excluding TSLA). Interestingly, we observe bidirectional information transmission between TSLA and other NEV stocks, while only unidirectional information transmission from NIO to TSLA is evident. These findings provide valuable insights for resource allocation, supply chain management and sustainable development strategies for decision-makers in the NEV market.

Supply Chain Management and Innovation Practices as Core Strategies for Business Competitiveness and Performance

Abstract The purpose of the study was to analyze the effects of supply chain management and business innovation on business competitiveness and performance. Preliminary notes expose a deep historical review of the theoretical and empirical research addressing the relationships between the variables that are being subject of study. The empirical study was conducted in 230 manufacturing SMEs located in Mexico and data analysis was performed using Structural Equation Modeling (SEM). For the assessment of the reliability and validity a Confirmatory Factor Analysis (CFA) was applied, using the maximum likelihood estimation (MLE) with the support of the EQS 6. Main findings conclude that implementing supply chain management and business innovation strategies are vital for business competitiveness and performance. At the final part of this paper, conclusions address the main implications of current research findings for enterprises and government. JEL classification numbers: M11, O32. Keywords: Business Performance, Competitiveness, Innovation, Supply Chain Management, Mexico.

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.

Automobile Transportation Logistics Supply Chain Management Strategy

To enhance the management level and quality of the automobile transportation logistics supply chain and promote innovation and development in automobile transportation logistics enterprises, it is essential to strengthen the construction of the automobile transportation logistics supply chain management model. This can be achieved through the gradual improvement of the automobile transportation logistics management process, ensuring that the management of the automobile transportation logistics supply chain proceeds in an orderly manner. The aim is to improve automobile transportation and logistics service levels while meeting the changing market supply needs. This will enable automobile transportation and logistics enterprises to maintain steady economic benefits and enhance their core competitiveness in the market. Therefore, this paper has conducted a comprehensive exploration and research on managing the automobile transportation logistics supply chain. Corresponding management strategies are proposed as a starting point to achieve the aforementioned goals.

Optimizing Logistics and Transportation Locations in the China–Pakistan Economic Corridor: A Strategic Risk Assessment

Logistics centers (LCs) have become a critical component of supply chain networks, playing an essential role in the development and implementation of logistics and supply chain management strategies. Recognizing the importance of LCs, Pakistan and China have initiated an extensive plan to establish and expand an LC system as part of the China–Pakistan Economic Corridor (CPEC) initiative. However, the implementation of this plan has faced challenges due to the inadequate prioritization of factors used to identify LCs. This research proposes a structured framework for selecting LC locations, employing a combination of fuzzy logic and the technique for order of preference by similarity to the ideal solution (TOPSIS). These widely used methods address various challenges encountered in location selection. The findings highlight crucial logistics hubs in China and Pakistan, emphasizing factors such as port accessibility, freight demand, and transportation costs. The prioritization of criteria for LC selection is determined through the evaluation of variables and alternatives. The proposed framework enhances decision-making based on multiple criteria by addressing uncertainty and subjective assessments.

Green supply chain management practices and environmental performance in the healthcare sector: the mediating role of green innovation

Purpose This study aims to assess the effects of green supply chain management (GSCM) strategies on health-care organizations’ environmental performance (EP). It also assesses that green innovation (GI), including green technology innovation (GTI) and green management innovation (GMI), plays mediating roles in the connection between GSCM and EP. Design/methodology/approach In total, 375 health-care sector employees in the Chattogram division of Bangladesh provided opinions in the questionnaire survey. PLS-SEM was used to verify the data’s validity and reliability and assess the hypotheses. Findings The findings reveal that GSCM practices significantly positively impact GI and EP. Moreover, GTI and GMI mediate the relationship between GSCM and EP in Bangladesh’s health-care sector. Practical implications The current findings could promote environmental sustainability in Bangladesh’s health-care industry by fostering environmental collaboration. Originality/value The detection of the mediation effect of GTI and GMI on GSCM and EP is a unique contribution of this study that enriches the present GSCM and GI literature, particularly in the Bangladeshi health-care sector.

Practices and strategies for global sourcing and supply chain management: a Pareto analysis and MOORA a mixed method approach

Purpose This study aims to identify and prioritize the key practices and strategies for effective global sourcing and supply chain management (SCM). Design/methodology/approach The study uses a combination of Pareto analysis and multi-objective optimization based on ratio analysis research methodology to analyze and establish the relationships among the identified key practices and strategies. Pareto analysis enables organization to prioritize organizational efforts and resources by focusing on the most critical factors. Findings The study shows that the “eco-friendly sourcing strategy”, “lean manufacturing” and “tool cost analysis” are the top critical practices and strategy variables for global sourcing and SCM, whereas the “risk management”, “procurement strategy” and “leverage digital solutions” are the critical practices and strategy variables. Research limitations/implications The findings of this research can also assist organizations in making informed decisions to optimize their global sourcing and supply chain operations. Originality/value By using these methods, this research paper gives valuable insights into the critical practices and strategies that can enhance efficiency, mitigate risks and drive success in global sourcing and SCM. The subjects and elements this study identified will serve as a framework and suggestions for further theoretical investigation and real-world implementations.

Artificial intelligence based supply chain management strategy during COVID-19 situation

ABSTRACT The COVID-19 pandemic has brought about unprecedented challenges, such as constantly changing consumer demands and disruptions in the supply chain. This study aims to reduce the cost of inventory units in the COVID-19 scenario by using a mathematical model to develop fundamental inventory control formulations. However, conventional analytical methods often struggle to identify and analyse the complex patterns and rapidly shifting trends that characterise COVID-19. To address this issue, this study employs ANN techniques to determine the total variable cost of essential items in the COVID-19 scenario, using current demand, discount rate, and advanced payments as input variables. The study creates an optimal ANN model for real-life situations by combining different solvers and activation functions. Among the various combinations, the study observes that the combination of the relu activation function and lbfgs solvers offers the lowest RMSE value of 0.03382 and the highest R2 value of 0.9858 for the optimum total variable cost. The study affirms that ANN techniques excel in analyzing the EPQ model during COVID-19 by managing complexity, adapting to changes, and assessing diverse data. This real-time analysis aids supply chains, ensuring timely key item availability in high-demand or disruptive scenarios.

Supply chain in transition navigating economic growth and environmental sustainability through education.

The growing interest in the Management of Eco-Friendly Supply Chains warrants this study. Green supply chain management (GSCM) is an approach to supply chain management (SCM) that takes into account environmental factors. Therefore, GSCM is vital in shaping the cumulative environmental effect of businesses engaged in supply chain operations. In addition, GSCM may help improve the effectiveness of sustainability initiatives. Manufacturing companies, particularly in developing nations like India, are trying to adjust essential procedures and supply chains because of the rising need to be ecologically sustainable. However, such efforts must be deployed strategically to be ecologically sustainable and economically successful. As a result, this study focuses on the relationship between green supply chain management and education that affect environmental sustainability and economic performance. As a further step toward more sustainable development, the mediating function of education is sustainable economic growth and environmental health. The data was collected by distributing a well-crafted questionnaire to manufacturing facilities in India. We employed PLS-SEM to analyze and interpret the data test hypotheses based on data from 415 replies. The findings point to cost and profit as the primary metrics of corporate success. Disposal of trash, usage of resources, and release of greenhouse gases are alternative measures of environmental sustainability. Distributed online links and in-person interviews with employees at companies throughout India who use GSCM procedures provided the basis for the study's primary data set. The data was gathered with the use of an organized survey form. The findings of tests conducted on the hypotheses were considered. According to this research, cost, profit, waste, resource, and GHG emission impacts vary depending on which GSCM techniques are implemented. Green supply chain management strategies significantly affect price, trash disposal, resource utilization, and GHG emissions. There was no discernible trend between GSCM methods and financial success. In addition to discussing the unique elements of sustainable supply chains and the limits of current research, this article also discusses how a company's bottom line will benefit monetarily from establishing a sustainable supply chain. This should inspire more study in this area. Our investigation revealed patterns and voids, and we used that information to outline a thorough plan for future GSCM studies. The research helps manufacturing company management improve their sustainable policies while providing policymakers with pointers.