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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
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Leveraging Internet of Things (IoT) and Artificial intelligence (Al) to Optimize Supply Chain Systems Raman, Rohit; Selvaraj, Manikandan
International Journal of Supply Chain Management Vol 13, No 6 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i6.6272

Abstract

Some emerging technologies transforming supply chain management (SCM) include the Internet of Things (IoT) and Artificial Intelligence (AI). Their abilities provide the tools companies need to evolve and meet the changing needs and business conditions, ensuring they remain afloat. The challenge, however, is understanding how companies can incorporate the technologies into their systems. There are also concerns over the low adoption rates among small and medium enterprises (SMEs), and the paper looks into the issue to assess the barriers and solutions. The other goal is to determine strategies companies use to optimize AI and IoT to ensure proper supply chain management. This paper contributes to supply chain management by providing a structured framework for integrating AI and IoT technologies to enhance operational efficiency, real- time decision-making, and supply chain visibility. It addresses barriers faced by SMEs, such as financial constraints and lack of skilled personnel, offering strategies like innovative leadership and collaboration through ecosystems to overcome these challenges. Additionally, the research highlights how AI and IoT strengthen supply chain resilience, optimize inventory, and ensure seamless operations, especially in adapting to post-pandemic vulnerabilities. The literature review was done on recent scholarly research papers and case studies. The findings showed that SMEs can overcome challenges such as limited funds and human resource constraints by collaborating with others and getting innovative leaders to lead the supply chains. Supply Chain Systems (SCS) that adopt AI and IoT can leverage them to ensure optimized inventory management, tracking and quality control, predictive analysis abilities, and continuous monitoring, which provide constant system improvement.
Microfinance Cooperation Base On Loan Sharks Hasan, Asyari; Prasetyowati, Riris Aishah
International Journal of Supply Chain Management Vol 14, No 1 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i1.6293

Abstract

This study aims to observe the motivational factors for the moneylender business of the Batak tribe known as shark loans. The discriminant analysis method is used to classify motivation into two different factors based on the pull and push theory. The testing was also carried out on two different groups of respondents, namely the favorable and the unfavorable. These results show that the determining factors for the motivation of borrower customers in the loanshark cooperative in this case are divided into two parts, namely; 1) pulling factors consisting of; independence, money, challenges/achievements, seeing opportunities, and lifestyle. 2) driving factors consisting of; job dissatisfaction, changes in the world of work, assistance from employers, and the needs of children/families. The results of the study prove that overall, all of these determining factors contribute to the Batak moneylender business. The Batak moneylender business based on the motivation factor of the pull and push theory in both community groups that support and oppose the Batak moneylender business shows that its existence is still very much needed, reaching 66.5%. Because the weak economic community in general do not have access to banking and do not have adequate requirements for creditworthiness or bank loans.
Evaluating Supply Chain Transformation of Passenger Vehicle Industry Towards Manufacturing in Bangladesh Uddin, Md. Rubaiat; Chowdhury, Hasan Maksud; Bin Mamtaz, Al Fattah
International Journal of Supply Chain Management Vol 14, No 1 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i1.6289

Abstract

Bangladesh is classified as a lower-middle-income economy by the World Bank, with a Gross National Income (GNI) per capita of $2,824. It is also designated as a Least Developed Country (LDC) by the United Nations, based on low income, human asset deficits, and economic vulnerability. However, in February 2021, the UN Committee for Development Policy (CDP) recommended Bangladesh for LDC graduation, recognizing its progress in income growth, human development, and economic resilience. Bangladesh, which is the second largest economy in South Asia gained independence in 1971. Nearly 54 years have passed, yet customers in the passenger vehicle segment predominantly rely on used, reconditioned cars imported from Japan. These vehicles, allowed for import up to five years after manufacture, continue to dominate the market. However, there is a growing need to shift toward locally manufactured, brand-new vehicles to advance the country's automobile sector. Establishing a domestic automobile manufacturing industry could drive employment, strengthen the local economy, and improve living standards. Thus, many prime points come into limelight like consumer behaviour, government support and infrastructural capability. This study explores the future of the automotive supply chain in Bangladesh, focusing on identifying key factors that could drive its transformation. Utilizing a hypothesis-driven research design, the study analyzes survey responses to uncover consumer preferences and emerging trends shaping the industry. The findings provide critical insights into the potential shift from a reliance on imported reconditioned vehicles to localized manufacturing, highlighting opportunities and challenges within the evolving automotive landscape of Bangladesh.
Exploring Digital Supply Chain Practices in the Maritime Industry: A Systematic Literature Review Hye, Mohammad Nazmuzzaman; Habib, Md. Mamun
International Journal of Supply Chain Management Vol 14, No 1 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i1.6295

Abstract

The maritime industry is undergoing a significant transformation with the integration of digital technologies to enhance efficiency, transparency, and security. This study systematically reviews the adoption of key digital technologies- such as blockchain, cloud computing, and internet of things (IoT)-with in the maritime sector. The findings reveal that digital supply chain (DSC) technologies enhance real-time data exchange, predictive analytics, and automation. Additionally, the study highlights the primary challenges hindering digital adoption, including infrastructure limitations, regulatory constraints, cybersecurity risks, and resistance to change.The contributions of this research are threefold. First, it provides comprehensive classification digital technologies in the maritime industry and their functional role in supply chain management. Second, it develops a conceptual framework that aligns digitalization Practices with performance outcomes in maritime logistics. Third, it identifies gaps in current research and proposes directions for future studies, particularly in improving interoperability, standardizing digital platforms, and assessing the long-term impact of DSC innovations. The study offers valuable insights for academics, industry practitioners, and policymakers aiming to optimize digital supply chain practices in the maritime industry.
Strategic VMI Adoption in LSP Operations: Minimizing Truck TAT in JIT Supply Chains Rajesh, Adithya Narayanan
International Journal of Supply Chain Management Vol 14, No 3 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i3.6308

Abstract

This study explores the evolution of Vendor Managed Inventory (VMI) within the supply chain of a large-scale motorcycle manufacturer, tracking its progression from a traditional non-VMI model to a centralized VMI system, and eventually to a decentralized, logistics service provider (LSP)- integrated framework. It examines the challenges associated with each VMI model, key structural changes, and the innovative solutions that enabled the company to overcome operational challenges. The shift to a centralized VMI model led to increased transportation costs and supplier resistance, limiting its overall effectiveness and prompting the company to adopt an LSP-integrated VMI framework. This decentralized approach balances cost efficiency with improved supplier collaboration, making it well- suited for manufacturers with geographically dispersed supplier networks. The study also analyzes issues related to last-mile delivery—particularly high truck turnaround time (TAT) in a Just-In-Time (JIT) environment—and how the implementation of a Logistics Control Tower (LCT), along with other strategic initiatives, helped reduce TAT from eight hours to four. The findings offer actionable insights for manufacturers aiming to enhance inbound logistics through effective VMI models, while addressing common implementation challenges with practical, real-world solutions. The study also contributes to the existing body of knowledge on VMI by introducing a decentralized framework integrated within LSP operations.
Use of Generative Artificial Intelligence to Create Sustainable Supply Chain Management: An Online Retail Perspective Thakre, Bharat
International Journal of Supply Chain Management Vol 14, No 2 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i2.6303

Abstract

Generative artificial intelligence (AI) refers to the type of AI that is capable of creating such new contents as music, images, texts, videos, and codes, using expansive AI models, known as foundation models, that will help to learn from and simulate large volumes of data. Modern e-commerce businesses have realized that application of such sophisticated technology in supply chain management (SCM) to create efficient and sustainable supply chains. This article explains how Generative AI can be useful in this respect especially in a world where SCM is undergoing significant transformations due to changing consumer behavior and the changing nature of trade and commerce in an internet driven world.
Optimizing Liquified Natural Gas (LNG) Transportation & Logistics - Application of Compressors and Al-Driven Analytics Narayanan, Shankar Bhaskaran
International Journal of Supply Chain Management Vol 14, No 2 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i2.6299

Abstract

Liquefied Natural Gas (LNG) transportation is not just a fascinating process but also a crucial activity in the international energy market. Countries across the world are switching over from coal and crude oil to natural gas to lower carbon footprint. But natural gas has to be transported, generally over long distances, from source to place of consumption and that to in the form of liquid. Conversion of natural gas into LNG facilitates its comparatively easy and safe transport, particularly where distances are large. The entire process of transformation and transportation is very complex, but demands study due to the growing importance of LNG as an alternative fuel – a crucial element in energy transition and sustainability. This article explores the role played by compressors in the transportation of LNG. The article while adding to the pool of literature on LNG transport optimization, establishes that compressors are vital to optimizing LNG transportation and logistics. This article also establishes the utility of Artificial Intelligence (AI) in improving profitability of the players. It shows how predictive analytics be useful in enhancing the efficiency and economy of LNG transportation through the churning of huge volume of data generated at every step of the transportation process and then use it effectively to improve performance.
Consolidation of Electrical Service Guidelines to Accelerate Fleet Electrification and Green Supply Chain in California Chandra, Subhash; Patro, Ravindra Kumar
International Journal of Supply Chain Management Vol 14, No 3 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i3.6310

Abstract

The transition to clean and green energy is inevitable just like the changes in global climate, the former being the consequence of the latter. Time is of essence here. The U.S. Government is also pushing the speedier adoption of electric vehicles (EVs) all across the country to handle the menace of emission. Urged by ambitious policies and propelled by generous investments in clean energy, California is leading the way to fleet electrification. The accelerated electrification of fleet in California, demands consolidation of electrical service guidelines, an important impediment to speedier transition. Replacement of fleet vehicles with similar vehicles that are significantly low on emission mark an important milestone for meeting the stringent emission targets set by the state. Though local in implementation, this program has global ramifications due to its capacity to aid other regions transition to vehicle electrification to meet such worldwide emission targets, as commitments made under the Paris Climate Agreement. This article identifies the obstacles to fleet electrification and recommends ways to consolidate electrical service guideline that can expedite the fleet electrification in California, a state that is a leader in green logistics, and hence promote green supply chain.
Role of Blockchain Technology in Supply Chain Management Al Maashari, Jaifar Ahmed
International Journal of Supply Chain Management Vol 14, No 2 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i2.6296

Abstract

Blockchain technology has drew interest for its capability in supply chain management to has prompt efficiency in terms of improved transparency. Blockchain has received a lot of attention with its promises of improving supply chain through accountability. This paper aims to evaluate the benefits and risks of incorporating blockchain in supply chain management networks with especial focus on peer-reviewed articles, conference papers, and literatures documented between 2015 to 2021. From the paper, it is apparent that blockchain brings critical advantages, such as real-time tracking of product movement, less fake products, and fewer errors, which is stored in the shared platform for every stakeholder’s view. Also, the use of smart contracts promotes automated execution of a contract so that the responsibility and performance of agreements are enhanced as well as operationalism. Combine examples of Walmart and IBM’s operation solution Food Trust and the shipping logistics platform Trade Lens to demonstrate the use of blockchain for the optimistic outcome in different fields. However, the broad implementation of blockchain has some barriers; these are; reluctance by the supply chain executor to adopt new structures and systems among partners, high initial costs, and diversity with blockchain solutions that does not support operational norms across platforms. These challenges therefore call for more concentrated efforts in enhancing the understanding of education on blockchain technology and supply chain actors, setting of standard practices for the ecosystem and associating the pertinent players to allow for the considerably more effective operation of the technology. This research is useful for those academics as well as practitioners who are planning to pursue the strategy of blockchain implementation in supply chain management. The direction for further research should be to address the mentioned challenges and identify the state-of-the-art approaches, formats and standards, and the ways of implementing them in practice.
Artificial Intelligence and E-commerce Logistics Management towards Operational Excellence Thakre, Bharat
International Journal of Supply Chain Management Vol 14, No 2 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i2.6302

Abstract

The world of trade and commerce has undergone a sea change over the last 2-3 decades with the marvelous development in technology which has revolutionized communication and has brought artificial intelligence (AI) into our world. AI has made our lives easier in several ways and its impact on buyers’ behavior is not far to seek. From the retailers’ perspective, happy customers are satisfied customers who would help to not only maintain the business but also in its expansion. Using AI to achieve operational excellence especially from the perspective of logistics management, an e-retailer can achieve competitive edge that will help it stay ahead of peers. This article shows that AI plays a crucial role in achieving operational excellence in e-commerce, especially from the perspective of Quick Commerce (QC), through efficient management of delivery logistics.

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