Article Per Year (5 Year)
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This Author published in this journals
All Journal International Journal of Supply Chain Management Journal of Applied Engineering and Technological Science (JAETS)
Machfud Machfud
Bogor Agricultural University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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The Design of Stacking Yards Management of The Early Warning System Model: A case study in Jakarta International Container Terminal, Indonesia Arief Witjaksono; Marimin Marimin; Machfud Machfud; Sri Rahardjo
International Journal of Supply Chain Management Vol 6, No 1 (2017): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

As a part of the Indonesia-National Logistics System, Jakarta International Container Terminal (JITC), facing a long dwell time which impacts to high yard occupancy ratio (YOR). This is happened because of the long necessary documents of clearance processing time, the limited yard provided, and the owners preferring for storing their goods in the terminal for cost reasons, etc. The objectives of this research are to design an early warning system model to avoid YOR above the normal by using adaptive neuro fuzzy inference system (ANFIS); designing the inter-agency institutional collaboration to apply the model by using interpretive Structural Modeling (ISM); and formulating YOR above normal mitigation strategy. The primary data used are collected through the in-depth interviews and the focus group discussions with the multi-discipline experts. The secondary data are collected from JITC daily operations and from other supporting agencies. The proposed model is validated, verified and tested. It shows the promising results. Keywords: dwell time, yard occupancy ratio, institution model, ANFIS, ISM.
Method and Approach Mapping of Fair and Balanced Risk and Value-added Distribution in Supply Chains: A Review and Future Agenda Muhammad Asrol; Marimin Marimin; Machfud Machfud; Mohamad Yani
International Journal of Supply Chain Management Vol 7, No 5 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

This paper proposes a fair and balanced risk and value-added distribution as a novel approach for collaborative supply chain. The objective of this article is to analyze the existing methods and approaches for risk management, value-adding, risk and revenue sharing to develop a new framework for balancing risk and value-adding in collaborative supply chains. The authors reviewed and synthesized 162 scientific articles which were published between 2001 and 2017 and. The reviewed articles were categorized into supply chain management and performance, risk management, value-added, fair risk and value-added distribution and supply chain negotiation. The potentials identified for future research were the importance of decision-making and sustainability for effectiveness of supply chain risk management. Most previous authors have applied an approach of revenue and risk-- sharing with both decentralized and centralized supply chains to achieve the fair risk and value-added distribution. The dominant methods we found in literature were game theory and complex mathematical formulation. Most literature focused on operation research techniques. We identified a lack of discussion of the intelligent system approach and a potential for future exploration. This paper guide future research and application agenda of fair risk and value-added distribution in supply chain collaboration. We developed a new framework for a fair and balanced risk and value-added distribution model. For a future agenda, we point towards the development of a systematic intelligent system applying soft-computing techniques and knowledge transfer for maintaining sustainable supply chains.Keywords Supply chain collaboration, Fair risk and value-added distribution, Revenue sharing, Risk management, Risk sharing
Agro-Food Supply Chain Risk Assessment: A Review Based on Technique and Approach Daniel Bunga Paillin; Machfud Machfud; Hartrisari Hardjomidjojo; Muhammad Romli
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 2 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i2.3688

Abstract

Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.
Co-Authors Arief Witjaksono Daniel Bunga Paillin Hartrisari Hardjomidjojo Marimin , Moh. Yani Muhammad Asrol Muhammad Romli dan Suprihatin Andes Ismayana Sri Rahardjo