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All Journal AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment)
AZIZAH, NURUL QOLBI EL
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Education Energy Environmental Science

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Optimization of Supplier Selection and Order Size Determination in Multi-Item and Multi-Period Packaging Procurement NURUL QOLBI EL AZIZAH; Rika Ampuh Hadiguna; Elita Amrina
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 1 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i1.898

Abstract

This research aims to develop an optimization model that systematically integrates key factors such as price, supplier capacity, Minimum order quantity (MOQ), and ordering costs into a single decision framework. The model was developed using the Capacitated Allocation Supplier Model (CASM) based on Mixed Integer Linear Programming (MILP) with a 12-period horizon (January–December 2025). The objective is to determine the optimal combination of supplier selection and order quantity allocation that minimizes total procurement costs while ensuring supply continuity. The results indicate that the CASM–MILP model successfully reduces total procurement costs from IDR 1.671.889.794,10 to IDR 1.350.088.510, yielding IDR 321.801.284,10, or 19,25% savings. Although the percentage appears modest, the savings are significant since they are achieved without disrupting production schedules or packaging availability. Moreover, the proposed model enhances transparency and rationality in decision-making and lays the foundation for future data-driven procurement systems. Overall, this research demonstrates that the MILP-based optimization approach effectively improves cost efficiency in multi-item and multi-period procurement systems, offering practical contributions for industry management and theoretical insights for operations management studies. Contribution to Sustainable Development Goals (SDGs):SDG 9 – Industry, Innovation and InfrastructureSDG 11– Sustainable Cities and CommunitiesSDG 8 – Decent Work and Economic Growth
Sustainable Optimization of Fertilizer Distribution in Palm Oil Plantations Using Tabu Search Nasirly, Riri; Ramadhani, Siti Dinar Rezki; Azizah, Nurul Qolbi El
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 1 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i1.988

Abstract

Fertiliser distribution in palm oil plantations poses a complex Vehicle Routing Problem (VRP) due to dispersed customer locations, limited vehicle capacity, and high transportation costs. While metaheuristic approaches such as Genetic Algorithms (GA) and Ant Colony Optimisation (ACO) are widely used, they typically require extensive parameter tuning and are computationally intensive. The use of Tabu Search in practical plantation logistics, especially under capacity constraints, has been relatively limited. This study aims to optimize fertilizer distribution routes at PT. XYZ using a Tabu Search algorithm. An initial feasible solution is generated using the Nearest Neighbour method and subsequently improved through neighbourhood exploration with tabu memory. The model is implemented in MATLAB 2016 and utilizes operational data, including distance matrices, customer demand, and vehicle capacity constraints. The results indicate a reduction in total travel distance from 4,287 km to 3,618.5 km. Diesel consumption decreases by 15.59%, from 714.5 to 603.08 liters, resulting in cost savings of IDR 757,633. This reduction corresponds to approximately 298 kg of CO2 emissions avoided, thereby supporting more sustainable agricultural logistics. These outcomes contribute directly to climate change mitigation (SDG 13) and promote sustainable resource utilization (SDG 12). Collectively, the findings highlight the effectiveness of Tabu Search as a practical and sustainable optimization method for fertilizer distribution in palm oil plantations.    Contribution to Sustainable Development Goals (SDGs):SDG 12: Responsible Consumption and ProductionSDG 13: Climate Action   
Co-Authors Elita Amrina Nasirly, Riri - Ramadhani, Siti Dinar Rezki Rika Ampuh Hadiguna