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INDONESIA
International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
 247   248   249   250   251 
Digital Supply Chain Model for Emergency Management in Thai Universities Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i5.6142

Abstract

The purpose of paper is to study and to evaluate digital supply chain model for emergency management in Thai universities. The research sample totalling ten experts consisted of ten experts consisted of five experts on supply chain , five experts on digital technology. The employed research instrument is a questionnaire. Statistics employed for data analysis are mean and standard deviation.. The research findings digital supply chain model for emergency management in Thai Satisfaction comprises six elements namely main components suppliers, University, Good service and security, Customers and satisfaction. The paper found that digital supply chain model for emergency management in Thai has suitability in a good level that mean the model may be applies in support the tasks.
Deployment Strategies of EV School Buses with Vehicle to Grid (V2G) in the US School System Pallav Prakash
International Journal of Supply Chain Management Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i5.6206

Abstract

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.
Conceptual Framework of an Information for Emergency Management for Higher Education in Thai Supply Chain Chansamut, Artaphon
International Journal of Supply Chain Management Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i5.6141

Abstract

The objective of research were to develop conceptual framework of an information for emergency management for higher education in Thai supply chain and to evaluate conceptual framework of an information for emergency management for higher education in Thai supply chain. The research sample totalling ten experts consisted of five experts on supply chain , five experts on information system. All of expert must have educational qualification at the doctoral degree level, and must have more than more than four years of work experience The research tool was questionnaire assessing the suitability about conceptual framework of an information for emergency management for higher education in Thai supply chain comprises five elements namely main components suppliers, University, Good service and security, Customers. The data analysed by using arithmetic mean and standard deviation. The assessment about conceptual framework of an information for emergency management for higher education in Thai supply chain using Black-Box technique. The overall model evaluation result was validated at a “Good” level, suggesting that conceptual framework of an information for emergency management for higher education in Thai supply chain aims to support sustainable information system development.
Enhancing Supply Chain Visibility in Large Enterprises: A Literature Review Peesapati, Sri Rama Yashaswi
International Journal of Supply Chain Management Vol 13, No 3 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i3.6246

Abstract

Supply Chain Visibility has become an increasingly crucial aspect for large enterprises in today's global and interconnected business landscape. Achieving comprehensive visibility across multiple layers of the supply chain can significantly impact operational efficiency, cost optimization, customer satisfaction and trust. However, attaining supply chain visibility presents various challenges including fragmented data systems, interoperability issues, diverse supplier networks, data quality concerns, and geographical dispersion. Emerging technologies have a great potential to play key role in solving these challenges and facilitating improved supply chain visibility for enterprises. This study aims to provide insights that can inform and guide enterprises to effectively leverage the power of emerging technologies to gain better visibility into their supply chain operations. This paper is based on a comprehensive examination of 30 literary works to provide a thorough analysis of the subject matter. By synthesizing extant research, and practical case studies of large enterprises, the review has uncovered critical insights into the implications of supply chains visibility for both theory and practice in the field of supply chain management, particularly emphasizing the role of technology solutions and case studies. In addition, the integration of case studies provides concrete examples of how leading enterprises are leveraging technology to overcome visibility challenges and achieve operational excellence.
Examining the Direct and Indirect Impacts of E-Supply Chain Implementation on Performance: A Collaborative Approach Sheyadi, Anwar Al; Shaukat, Muhammad Rehan
International Journal of Supply Chain Management Vol 12, No 6 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i6.6205

Abstract

The paper examines both the direct and indirect impact of implementing E-Supply Chain Management (E-SC) practices on performance of Omani manufacturing firms.  A Structural Equation Modelling analysis was conducted based on a large scale survey applied to 108 manufacturing firms. Results of the research revealed that E-SC practices had a direct positive effect on both business and operational performance, where their direct effects on operational performance was stronger than their effect on business performance.  The results also showed that while the indirect effect of E-SC on operational performance was partially supported, a full indirect effect between E-SC and business performance was found.  Our findings imply that although a substitutive implementation of various types of E-SC can lead to marginal positive performance outcomes, achieving substantial performance outcomes might require more collaborative and highly coordinated approach of implementing these practices.  Several other theoretical and practical insights are provided by the findings of this paper on understanding the potential benefits of the direct and indirect implementation of E-SC practices.
Demand Planning: Riding Disruptive Wave of AI and Accelerated Computing Khastgir, Antara; Kumar, Adesh
International Journal of Supply Chain Management Vol 13, No 2 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i2.6236

Abstract

Traditional demand planning methods often struggle to keep pace with the complexity, volatility, and vast datasets inherent in modern supply chains. Artificial intelligence (AI) offers a transformative solution, revolutionizing demand planning with its ability to analyze vast amount of data, identify complex patterns, and generate highly accurate forecasts. This paper explores the latest advancements in AI for demand planning, encompassing machine learning, deep learning, and natural language processing (NLP). The focus is on how these techniques enhance demand sensing capabilities, incorporating real-time market signals, external data sources, and unstructured text information. Furthermore, the potential of AI to optimize inventory management, enable scenario planning, and increase supply chain resilience in response to unexpected disruptions are examined. The paper also addresses practical challenges in implementing AI-powered demand planning solutions, and outlines areas for future research. Most importantly, the paper provides the robust methologies to integrate the emerging AI developments in demand planning process.
Unlocking Operational Efficiency: The Influence of Advanced B2B Software Solutions on Supply Chain Processes Tomar, Prashant
International Journal of Supply Chain Management Vol 13, No 1 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i1.6225

Abstract

In this dynamic and fast-paced modern world, operational efficiency has become necessary for businesses that desire to attain and retain their competitive edge. A comprehensive B2B supply chain solution provides real-time visibility into the supply chain, including your inventory and production schedules, enabling prompt responses, informed decisions, and improved customer relationships. This article discusses the influence that advanced B2B Software Solutions have on Supply Chain Processes. It substantiates the absolute need for businesses to employ modern technology for achieving operational excellence in the highly dynamic modern world where beating the competition is the only way forward and application of sophisticated technology is increasingly becoming a necessity and not a choice.
Driving Towards a Sustainable Future: Optimizing Electric Vehicle Utilization in Last-Mile Supply Chain Operations Chandra, Subhash
International Journal of Supply Chain Management Vol 13, No 4 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i4.6254

Abstract

This is an era where environment has become one of the key concerns due to progressive deterioration caused by human activities that generate pollution. Hence it has become imperative for businesses to alter their strategies pertaining to operation and transport logistics and chose and implement more environment friendly options. Almost without exception, the logistics sector of any enterprise is the one with a significant carbon footprint, if not the largest. The growing gravity of the environmental damage has urged the enterprises to initiate a significant move towards choosing an alternative method of operation that is not only less polluting but is also a more sustainable option. This article evaluates the use of EV as a sustainable green alternative for last mile logistics and creates the scope for further research on possible alternatives.
Enhancing Supply Chain Efficiency to Build Next-Gen Artificial Intelligence (AI)/Machine Learning Network Through Al-Driven Forecasting Krishnan, Manish; Khastgir, Antara
International Journal of Supply Chain Management Vol 13, No 3 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i3.6244

Abstract

The networking hardware industry is characterized by unique challenges when it comes to supply chain management. These include unpredictable demand patterns, complex logistics, besides disruptions caused by rapid technological advancements. This paper explores the integration of artificial intelligence (AI) into forecasting methodologies to enhance supply chain efficiency within the sector. Application of AI-driven forecasting models can help organizations improve demand predictions, refine inventory management, and streamline logistical operations. Drawing on recent research and industry practices, this article highlights the transformative impact of AI on supply chain efficiency and offers insights into best implementation practices. Furthermore, the research investigates the intersection of AI and networking hardware supply chain management, focusing on leveraging AI to analyze hardware failure patterns and interpret hardware-generated alarms and interrupts. By harnessing analytical capabilities of AI, modern organizations can extract actionable insights to reduce failure rates and enhance supply chain forecasting accuracy. This innovative approach enables more effective anticipation and preparation for hardware failures, optimizing spare part inventory management and minimizing the need for costly return merchandise authorizations (RMAs).
Managing Complex Supply Chains: Lessons from Military Logistics Sharma, Arjun
International Journal of Supply Chain Management Vol 12, No 6 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i6.6215

Abstract

The prerogative of modern life is the door-step delivery of the desired products within days or a few hours of placing the order with the vendor/s. This necessitates the creation, maintenance and management of an efficient network of people and processes for production and timely delivery of the product in demand – a robust supply chain. The article is a comprehensive approach towards modern supply chain management. The purpose of this article is to illustrate the complexities faced by commercial organization in managing their supply chains, especially the ones that are spread across the globe. This article explains how the commercial world can learn from the military the ways to handle their supply chains effectively even in disruptive situations such as diseases and natural disasters in order to ensure non disruption of operations. Supply chains being lifeline of any business it pays to learn from those who are the best in managing supply chains under dire circumstances. Though blindly copying and trying to replicate supply chain management (SCM) practices adopted by the military may prove futile, a modified version to suit company-specific needs will make important differences in the efficiency of commercial operation of enterprises. We scrutinized an assortment of secondary sources including peer reviewed journal, magazines, online publications, books and newspapers to arrive at this conclusion.

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