Efficiency Of Supply Chain Management Research Articles

Role of IT on the Effectiveness of Logistics and Supply Chain Management Systems in the Pharmaceutical Sector in Saudi Arabia Vision 2030

The main objective of this study is to evaluate how IT might improve the efficacy and efficiency of supply chain management and logistics systems in the pharmaceutical sector because the pharmaceutical industry is experiencing a transformation by the lofty objectives outlined by Saudi Arabia Vision 2030. The study was conducted using 150 executives working in the Saudi Arabian pharmaceutical industry's logistics and supply chain division. An open-ended survey questions were used to determine how IT technology affects pharmaceutical logistics and supply chain using non-probability sampling, logistics managers' LinkedIn accounts were selected for the sample, irrespective of the organization's size, location, or gender. SPSS statistical tools were used to analyse the data. It was found that the integration of IT tools and systems has emerged as a crucial enabler in this process. By harnessing the power of data analytics, IoT (Internet of Things), and automation, pharmaceutical companies can gain real-time insights into their supply chains. This, in turn, allows them to develop agile responses to changing market dynamics and customer expectations. Such strategic decisions, driven by IT, enable businesses to adapt quickly, reorganize their operations, and offer value-added services tailored to the specific needs of the market. Moreover, the creative application of IT solutions facilitates efficient inventory management, demand forecasting, and tracking of pharmaceutical products from manufacturing facilities to end consumers results also show that companies may simply increase the pace of the supply chain with the aid of innovative chances in major choices and judgments.

An Integrated Project Delivery-Based Supply Chain Management for Modular Construction in the Philippines

This study explores the enhancement of Supply Chain Management (SCM) efficiency in the Philippines' modular construction sector through Integrated Project Delivery (IPD). It highlights the critical alignment of SCM success factors with IPD principles, emphasizing the importance of collaboration in modular construction projects. Quantitative analysis via surveys among modular construction professionals assesses IPD's impact on SCM efficiency, uncovering a positive correlation between IPD adoption and compliance with SCM success factors, particularly in larger organizations. This reveals the benefits of early collaboration and shared management practices. The research proposes a comprehensive framework tailored to the Philippine construction industry to optimize SCM efficiency by integrating modular construction with IPD principles. This strategy aims to tackle unique organizational and individual challenges, offering insights for improving SCM practices through IPD. The study paves the way for superior project delivery in developing economies and calls for future research into IPD and SCM risks, the influence of organizational structures, and the role of emerging technologies and cultural factors in modular construction.

ECONOMIC THEORY AND PRACTICAL IMPACTS OF DIGITAL TRANSFORMATION IN SUPPLY CHAIN OPTIMIZATION

Digital transformation has emerged as a critical driver of innovation and efficiency in supply chain management, reshaping traditional economic paradigms and yielding profound practical implications. This paper delves into the economic theory underpinning digital transformation in supply chain optimization and explores its practical impacts on businesses and industries. In terms of economic theory, we examine the evolution from traditional supply chain models to digitally-enabled ecosystems. The integration of digital technologies such as big data analytics, artificial intelligence, and blockchain revolutionizes supply chain dynamics, enhancing efficiency, reducing costs, and mitigating risks. Drawing on game theory applications, we elucidate strategic interactions among supply chain stakeholders and the implications of digital transformation on their decision-making processes. Turning to practical impacts, we investigate how digital transformation enables enhanced visibility, real-time tracking, and predictive analytics, fostering agility and responsiveness in supply chain operations. Automation and AI-driven insights empower decision-makers to optimize resource allocation and mitigate disruptions effectively. Through case studies, we illustrate the tangible benefits and strategic advantages accrued by organizations embracing digital transformation. However, this transformation is not devoid of challenges. Cybersecurity threats, data privacy concerns, and the integration complexities of legacy systems pose significant hurdles. Addressing these challenges necessitates a holistic approach encompassing technological innovation, regulatory frameworks, and workforce development. Looking ahead, future trends such as blockchain integration, IoT applications, and sustainability initiatives promise further advancements in supply chain optimization. This paper underscores the imperative for ongoing research and adaptation to harness the full potential of digital transformation in reshaping the future of supply chain management. Keywords: Economic Theory, Practical Impacts, Digital Transformation, Supply Chain Optimization.

LEVERAGING WORKFORCE ANALYTICS FOR SUPPLY CHAIN EFFICIENCY: A REVIEW OF HR DATA-DRIVEN PRACTICES

This study explores the pivotal role of HR analytics in enhancing supply chain management (SCM) efficiency, marking a significant shift from traditional HR practices to data-driven decision-making. The main objective was to bridge the gap between HR analytics and SCM performance, highlighting the transformative potential of integrating advanced data analysis in workforce management to optimize supply chain operations. Employing a systematic literature review and content analysis methodology, this research meticulously analyzed peer-reviewed articles, conference papers, and scholarly books from prominent databases. The search strategy was comprehensive, incorporating a broad spectrum of relevant keywords to ensure the inclusion of significant studies that address the integration of HR analytics into SCM. Key findings underscore the transformative power of HR analytics in SCM, revealing that data-driven HR practices significantly contribute to operational efficiency, strategic decision-making, and enhanced competitive advantage. Advanced analytical tools, such as AI, machine learning, and predictive analytics, have been identified as critical in optimizing workforce performance and aligning human capital with supply chain objectives. The study concludes with actionable recommendations for practitioners, leaders, and policymakers, emphasizing the importance of robust data governance, cross-functional collaboration, and the development of analytics competencies. It also outlines emerging challenges and opportunities in leveraging workforce analytics, suggesting directions for future research, particularly in exploring the strategic impacts of HR analytics on supply chain resilience and sustainability. This research contributes to the growing body of knowledge on the strategic integration of HR analytics in supply chain management, offering a roadmap for organizations seeking to enhance supply chain efficiency through data-driven HR practices. Keywords: HR Analytics, Supply Chain Management, Data-Driven Decision-Making, Workforce Optimization.

Transformative Applications of IoT in Diverse Industries: A Mini Review

By integrating physical objects and facilitating data-driven decision-making, the Internet of Things (IoT) is transforming several sectors. Through the provision of individualised treatment plans, real-time health data analysis, and remote patient monitoring, it is vital to the modernization of healthcare systems. IoT technologies are essential to the development of smart cities, resource allocation optimisation, public safety improvement, and traffic congestion reduction. IoT-driven smart farming automates machinery, optimises irrigation, and monitors crop conditions. As IoT makes it possible to create smart grids, save energy waste, and increase grid dependability, the energy landscape is changing. IoT makes it easier to apply Industry 4.0 ideas in the manufacturing sector, converting conventional factories into networked, intelligent systems. Reducing operating costs and increasing productivity are the outcomes of implementing IoT-enabled sensors, robots, and data analytics to improve supply chain management, predictive maintenance, and production efficiency. Innovation, sustainability, and efficiency are becoming more and more possible as a result of the Internet of Things' integration across many industries. This review also showcases the relevant prospects of IoT applications in the fields mentioned.

Impact of Blockchain Technology on Supply Chain Management Efficiency and Transparency in Pakistan


 Abstract
 Purpose: The aim of the study was to influence the impact of blockchain technology on supply chain management efficiency and transparency
 Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
 Findings: A study on the impact of blockchain technology on supply chain management in Pakistan revealed significant improvements in efficiency and transparency. Through blockchain integration, supply chain processes experienced reduced delays and increased automation, leading to streamlined operations. Transparency was notably enhanced, with real-time tracking of goods and secure data sharing among stakeholders, mitigating risks of fraud and error. These findings suggest that adopting blockchain technology holds promise for enhancing supply chain management in Pakistan by fostering greater efficiency and transparency.
 Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, information processing theory & resource dependency theory may be used to anchor future studies on the impact of block chain technology on supply chain management efficiency and transparency. Encourage supply chain stakeholders to adopt blockchain solutions for enhanced transparency, traceability, and efficiency. Advocate for regulatory frameworks that promote the adoption of blockchain technology in supply chains while addressing concerns related to data privacy, interoperability, and standardization.

Development Of A Web-Based Supply Chain Management System At The Minahasa Cooperatives And Umkm Service Using The K-Means Algorithm

The development of Micro, Small and Medium Enterprises (MSMEs) plays a very important role in the regional economy. Therefore, a Supply Chain Management (SCM) system is a very important aspect of business operations that involves coordinating the activities involved in the production and delivery of goods and services to customers. SCM can be applied to small and medium enterprises (MSMEs) in the Minahasa Cooperatives and UMKM Department to improve their performance and competitiveness. SCM aims to efficiently manage the flow of goods, information and capital from suppliers to end consumers. This research aims to design and develop a web-based Supply Chain Management system for the Department of Cooperatives and MSMEs by applying the k-means algorithm for customer segmentation. In this research, the K-Means algorithm is used to group similar data points. This algorithm works by defining clusters so that the total intra-cluster variation (known as total within-cluster variation) is minimized. The results of this research can help increase the efficiency and effectiveness of supply chain management. In developing this system, customer, supplier and product data were successfully grouped into several groups based on similar characteristics using the k-means algorithm. Apart from that, the system that has been developed can also help facilitate the SCM process by utilizing information technology.

Improving Supply Chain Human-Machine Systems by the Analysis of Departmental-Level User Characteristics

In this study, the authors aimed to enhance supply chain efficiency at Company A, a key player in China's manufacturing sector, by focusing on user-centric system design. The approach involved analyzing departmental-level user characteristics to inform the development of an optimized human-machine interface. To achieve this, they conducted focus groups and card sorting exercises, identifying specific user needs across departments like planning, purchasing, receiving, warehousing, production, and quality control. The application of these insights into system design led to significant operational improvements. Notably, time savings were observed in departments such as receiving (74.44%) and quality control (41.86%). This tailored approach underscored the importance of understanding and integrating user characteristics in supply chain systems, leading to enhanced productivity and a competitive edge. The study demonstrates the impact of user-focused system design in improving both efficiency and user satisfaction in supply chain management.

Supply Chain Management and Cost Efficiency of the Food Manufacturing Industries in Gasabo District Rwanda

Supply Chain Management and Cost Efficiency of the Food Manufacturing Industries in Gasabo District Rwanda

Determinants of consumer intention to adopt a self-service technology strategy for last-mile delivery in Guangzhou, China.

Self-service technology (SST) is a logistic innovation in e-commerce that enhances last-mile delivery efficiency in supply chain management. By combining Innovation Diffusion Theory with Resource Matching Theory, we proposed a comprehensive framework to explain the relationships between beliefs, attitude, and intention in Guanzhou, China. The findings revealed that attitude played a crucial role in influencing consumer intention to adopt SST and that attitude has direct and indirect effects. Additionally, consumer perceptions of compatibility, relative advantage, reliability, and complexity indirectly affected their adoption intention through attitude. These factors had positive and negative effects. The results highlighted the importance of attitudes as immediate predictors of intention, as consumer attitudes (favorable and unfavorable) were shaped by their perceptions. We conclude by recommending strategies to promote positive attitudes toward SST and enhance safety, efficiency, and the overall user experience.

Research on the application of artificial intelligence technology in supply chain management

As competition in the global market continues to intensify and customer needs become increasingly diverse, the importance of supply chain management (SCM) has become increasingly prominent. In recent years, the rapid development of artificial intelligence technology (AI) has provided new solutions for improving the efficiency and accuracy of supply chain management. This article deeply explores the application of AI technology in supply chain management, including key aspects such as demand forecasting, inventory management, risk management and supply chain automation. Analyze the advantages of using artificial intelligence technology through case studies. Finally, the current research is summarized and future research directions are proposed. This research not only provides new ideas for supply chain management for enterprises, but also lays a solid foundation for future research in related fields.

Safety risk and operational efficiency on logistic service providers’ sustainable coal supply chain management

Safety risk and operational efficiency in sustainable coal supply was an issue in the coal distribution supply chain. An online survey evaluating safety hazards, operational effectiveness, logistic service providers, and sustainable supply chain management was completed by 89 consumers of coal logistic service providers. In contrast, this study aimed to evaluate the operational effectiveness and safety concerns of a sustainable coal supply chain managed by the logistic service providers on the Barito River. In addition to using path analysis, quantitative research methods were also applied to calculate and process the questionnaire data, producing a value that determined the weight of each vendor, criterion, and sub-criterion. It showed several positive and significant influences connected to the safety of sustainable supply chain management, the operational efficiency of logistic service providers, supply chain management, and security risks for the providers. Therefore, it was essential to unite the positive influences on the logistic flow to secure the coal supply chain activities on the Barito River. This research would have theoretical and practical applications, adding to the advancement of science through its applications. Such knowledge would affect the safety risk and operational efficiency of sustainable supply chain management through the logistic service providers on the Barito River, Central Kalimantan.

Models and Methods of Applied Mathematics in Supply Chain Management and Optimization

Abstract Amidst the swift expansion of the global trade economy, enterprises are confronted with escalating competition within their industries. Enhancing market competitiveness to boost economic efficiency emerges as a pivotal strategy for ensuring corporate viability. This study employs applied mathematics to refine the optimization of supply chain management, thereby offering a novel approach to augmenting management efficacy in enterprise supply chains. Initially, the research adopts mathematical models tuned to the traditional structure of enterprise supply chains, addressing prevalent profiling issues. Subsequently, it introduces a two-tier planning model to facilitate multi-objective decision-making in supply chain management. This model is rigorously applied to resolve various decision-making scenarios. An empirical analysis is conducted using Company M as a case study. Post-optimization, Company M's inventory exhibited only one instance of material shortfall, involving 132 items. The capital tied up in inventory was significantly reduced to 214,092 yuan—a decrease of 36,319 yuan compared to the capital occupied under traditional supply chain management methods. Furthermore, the optimized supply chain management system demonstrated a notable increase in the average inventory turnover rate to 12.3507%, marking an improvement of 3.6923% over the traditional model. The findings underscore the efficacy of the proposed optimization in enhancing the economic efficiency of enterprise supply chain management. This optimization not only streamlines operations but also provides robust support for the ongoing development of enterprise supply chains.

Green supply chain management and firm efficiency in an emerging economy

Developing green supply chains is a solution that many countries pursue to improve supply chain efficiency and thereby make businesses and the economy more efficient and optimal. Researching the impact of green supply chain management on the performance of businesses in Vietnam, the study conducted a survey of 210 businesses operating in Vietnam and through quantitative analysis, the research results showed that the green supply chain practices help the supply chain develop more sustainably and thus can improve business performance. Research also suggests that business leadership and strategic planning ability have a positive impact on business performance.

Supply Chain Management Efficiency Improvement in the Automobile Industry Using Lean Six Sigma and Artificial Neural Network

Supply Chain Management Efficiency Improvement in the Automobile Industry Using Lean Six Sigma and Artificial Neural Network

Real-Time Analytics: Efficiency And Competitiveness in Supply Chain Management

Real-Time Analytics: Efficiency And Competitiveness in Supply Chain Management

DISRUPTIVE TECHNOLOGIES FOR ENSURING ECONOMIC AND RESOURCE SECURITY OF UKRAINE

This scientific article examines the problems of economic and resource security in Ukraine and emphasises the importance of using disruptive technologies to achieve sustainable development. It was found that disruptive technologies lead to radical changes in production technologies, work organisation, and the socio-economic landscape. They affect the structure of the economy, the labour sphere, and social relations, which contribute to industrial revolutions. Scientists describe the Third, Fourth and Fifth industrial revolutions, which affect the development of the green economy, cyber-physical systems and the harmony between man and technology. Ukrainian researchers are also studying the concept of Industry 4.0 and disruptive technologies, including digital technologies, artificial intelligence, the Internet of Things, and production automation, to increase the competitiveness of the industrial sector and the development of the economy. During their research, the authors discuss four disruptive technologies: renewable energy, cyber security, artificial intelligence and blockchain, and their potential to ensure the country's economic and resource security. Renewable energy can reduce dependence on traditional energy sources and promote sustainable development. Cybersecurity is an essential aspect of the digital world, and disruptive technologies in this field can ensure the adequate protection of information systems. Artificial intelligence can improve productivity and quality of life by automating processes and developing innovative solutions. Blockchain technology can ensure the security and transparency of data management and improve the efficiency of supply chain management. The integration of these disruptive technologies into the economy and resource management of Ukraine can have a significant impact on the country's sustainable development and security. These technologies can increase productivity, reduce risk, improve resource efficiency, and better protect against cyber threats. Disruptive technologies are a critical factor in achieving the economic and resource well-being of Ukraine.

Analisis Hubungan Procurement pada Manajemen Supply Chain pada PT. Industri Nabati Lestari di Kek Sei Mangke

This internship journal aims to analyze the relationship between procurement and supply chain management at PT. Sustainable Vegetable Industry in Kek Sei Mangke. The method used in this research is descriptive qualitative with data collection techniques through observation, interviews and documentation studies. The research results show that procurement has an important role in increasing the efficiency of supply chain management in companies. procurement can help in aligning strategy and goals, building good relationships with suppliers, integrating sustainability in the supply chain, diversifying suppliers, and increasing added value in company operations. By doing these things, procurement can help increase efficiency in the company's supply chain management. Therefore, companies need to pay attention to the role of procurement in supply chain management to improve overall company performance.

The impact of managerial psychological characteristics on the supply chain management efficiency

PurposeThe present study investigates the impact of managerial psychological characteristics on the supply chain management efficiency (SCME) of companies listed in Tehran Stock Exchange.Design/methodology/approachTo this aim, information about 215 companies was analyzed during 2014–2021. The sales per inventory ratio was used to calculate SCME. In the present study, the focus is on characteristics such as managerial entrenchment, managerial myopia, managerial overconfidence (MOC) and managerial narcissism, all considered as managerial attributes.FindingsThe present findings showed that managerial myopia/managerial entrenchment (MOC/managerial narcissism) have a negative (positive) effect on SCME. Hypothesis testing based on robustness checks confirmed these results. Moreover, the findings are presented separately for companies with high business strategy (first quarter) and low business strategy (third quarter). The results show that at low levels of differentiation strategy, managerial entrenchment does not have a significant effect on SCME while other managerial attributes have a significant effect on both high and low business strategy.Originality/valueThe present study contributes to the identification of managerial psychological characteristics influencing SCME to advance future studies and support practical efforts. The present findings can prove the significance of this research and fill the existing gap in research.

Deployment Strategies of EV School Buses with Vehicle to Grid (V2G) in the US School System

Governments across the world are pushing for speedier adoption of electric vehicles (EVs) in order to meet their target for transition to a greener and cleaner environment that has low or zero carbon emission. Transportation being one of the major contributors to environmental pollution because of incessant burning of fossil fuels. EVs are being considered to be the best possible solution to alleviate vehicular pollution. However, proliferation of EVs create additional burden on the power grids. The consumption of electrical power is steadily rising because of even-growing population and the demand is particularly higher during summer months due to higher use of air conditioners. To ease this pressure on the grid the novel vehicle-to-grid or V2G technology is being employed whereby idle electric vehicles can be put to use as giant batteries that can send power back to the grid to supplement its output. With the wide scale adoption of electrical buses is schools this turns out to be a feasible option. Battery driven school buses are best suited for this. These vehicles remain idle for major portion of the day and also during summer months and can be effectively utilized for generating electricity using their batteries. However, there are challenges involved in the implementation of this strategy. Besides lack of charging infrastructure and limited knowledge of owners about the nature and benefits of the implementation there are also problems of rapid battery degradation, lack of control on the vehicle and the process and high costs involved. Nevertheless, using literature review this article explains the rationale behind adoption of the technology and highlights, the strategies that can be adopted to effectively exploit this novel technology to make the most out of idle electric school buses to support public utilities. To an extent electric school buses and the v2g technology can be potentially helpful for stabilizing supply of electricity during peak hours and improve efficiency of supply chain management of several industries including the power sector.