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All Journal Jurnal Manajemen dan Agribisnis PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Kurnia Iswardani
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Enhancing Food Supply Chain Efficiency: A Consolidation Shipping Approach For Multi-Product and Multiechelon: Meningkatkan Efisiensi Rantai Pasokan Pangan: Pendekatan Konsolidasi Pengiriman Untuk Multi-Produk dan Multiechelon Handayani, Dwi Iryaning; Kurnia Iswardani; Haryono, Haryono; Prihatinigsih, Tri Prihatiningsih
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 7 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v7i2.1673

Abstract

This research applies the application of delivery consolidation in the context of a multi-product and multi-echelon food supply chain, as a strategy to address operational efficiency and cost management. The aim is to implement consolidation in multi-product and multi-echelon distribution systems, in order to optimize product placement and distribution efficiently. The method adopted is the Linear Programming model, which considers key variables such as the number of goods to be sent, delivery route, resource allocation, fleet capacity and delivery time limit. The research results show that shipment consolidation, by scheduling shipments that are delayed until the second or third day, allows combining orders into one large shipment, thereby increasing load and route efficiency, reducing trip frequency, and achieving significant transportation cost savings. This strategy successfully increased load and route efficiency, reduced the number of trips required, and resulted in substantial transportation cost savings. Using this method, the total shipping and storage costs are 1,328,834. This consolidation strategy has proven crucial in optimizing delivery types, in addition to facilitating more effective route planning, reducing travel distances and times, and resulting in significant operational cost savings.
The Future of Supplier Selection: Integrating Bibliometric Intelligence and MCDM in The Perishable Agro-Industry Handayani, Dwi Iryaning; Kurnia Iswardani; Misra Hartati; Muhamad Zulkiflee Osman; Mimik Umi Zuhroh
Jurnal Manajemen dan Agribisnis Vol. 22 No. 2 (2025): JMA Vol. 22 No. 2, July 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.22.2.158

Abstract

Background: Supplier selection in the perishable agroindustry, such as for mushrooms, is a complex and strategic process. It significantly impacts supply chain performance owing to the perishability and quality sensitivity of the products involved. Traditionally, decision-making methods in this area often lack preliminary validation, resulting in suboptimal supplier choice.Purpose: This study aims to integrate bibliometric analysis and multi-criteria decision-making (MCDM) approaches, particularly the Analytic Hierarchy Process (AHP), to develop a robust data-driven model for supplier selection in the mushroom agroindustry.Design/methodology/approach: A systematic literature review using the PRISMA framework and bibliometric analysis of Scopus-indexed articles identified the most relevant MCDM methods. A case study approach involving expert judgment was used to evaluate mushroom suppliers based on the following five criteria: quality, price, delivery, service, and product suitability.Findings/Result: A bibliometric review confirmed that AHP, TOPSIS, and fuzzy logic are the most frequently applied methods. AHP was selected for its strengths in handling both qualitative and quantitative data and validating decision consistency. The results showed that Supplier A had the highest overall score (0.389), followed by Supplier C (0.345) and Supplier B (0.266), with a consistency ratio (CR) below 0.10, validating the assessments.Conclusion: Integrating bibliometric analysis with MCDM methods offers a more objective and evidence-based approach to supplier selection. The developed model enhances decision accuracy, supports strategic sourcing, and ensures quality and timeliness in highly perishable product supply chains.Originality/value (State of the art): This study pioneers the direct integration of bibliometric insights into an MCDM-based decision-making framework applied in a real-world agroindustry context. The methodology is replicable and adaptable across various industries facing similar supplier evaluation challenges. Keywords: supplier selection, multi-criteria decision making, analytic hierarchy process, bibliometrics
Co-Authors Dwi Iryaning Handayani Haryono Haryono Mimik Umi Zuhroh Misra Hartati Muhamad Zulkiflee Osman Prihatinigsih, Tri Prihatiningsih