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All Journal Jurnal Sistem dan Manajemen Industri Jurnal Logistik Indonesia
Maula, Fiki Rohmatul
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Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences Transportation

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Simulated annealing algorithm for solving the capacitated vehicle routing problem: a case study of pharmaceutical distribution Redi, Anak Agung Ngurah Perwira; Maula, Fiki Rohmatul; Kumari, Fairuz; Syaveyenda, Natasha Utami; Ruswandi, Nanda; Khasanah, Annisa Uswatun; Kurniawan, Adji Chandra
Jurnal Sistem dan Manajemen Industri Vol. 4 No. 1 (2020)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v4i1.2215

Abstract

This study aims to find a set of vehicles routes with the minimum total transportation time for pharmaceutical distribution at PT. XYZ in West Jakarta. The problem is modeled as the capacitated vehicle routing problem (CVRP). The CVRP is known as an NP-Hard problem. Therefore, a simulated annealing (SA) heuristic is proposed. First, the proposed SA performance is compared with the performance of the algorithm form previous studies to solve CVRP. It is shown that the proposed SA is useful in solving CVRP benchmark instances. Then, the SA algorithm is compared to a commonly used heuristic known as the nearest neighborhood heuristics for the case study dataset. The results show that the simulated Annealing and the nearest neighbor algorithm is performing well based on the percentage differences between each algorithm with the optimal solution are 0.03% and 5.50%, respectively. Thus, the simulated annealing algorithm provides a better result compared to the nearest neighbour algorithm. Furthermore, the proposed simulated annealing algorithm can find the solution as same as the exact method quite consistently. This study has shown that the simulated annealing algorithm provides an excellent solution quality for the problem.
Increasing Productivity Using Define, Measure, Analyze, Improve, Control (DMAIC) at PT. XYZ (a Case in Indonesian Company) Kurniawan, Adji Candra; Maula, Fiki Rohmatul; Rachmawati, Nur Layli
Jurnal Logistik Indonesia Vol. 7 No. 1: April 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i1.3308

Abstract

The productivity level of PT. XYZ is still below the target, especially in the batch area. This condition is proved by the Overall Equipment Effectiveness (OEE) value is about 58% based on January and February data. Taking this into account, it is necessary to conduct further research to determine the causes. This study aims to increase productivity in the raw material warehouse and pre-batch areas. To solve this problem we use a six-sigma with DMAIC method because these methods can determine the root cause of the problem and provide appropriate recommendations for improvement systematically. The results show that the application of the kanban system in the pre-batch area and reuse of rack in the pre-batch area can increase the average OEE batch value from 58% to 64%. The increase in productivity tn the raw material warehouse and pre-batch area affects Adherence to Plan (ATP) value from 86% to 91,15%.
Co-Authors Anak Agung Ngurah Perwira Redi Khasanah, Annisa Uswatun Kumari, Fairuz Kurniawan, Adji Candra Kurniawan, Adji Chandra Rachmawati, Nur Layli Ruswandi, Nanda Syaveyenda, Natasha Utami