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All Journal OPSI Jurnal Rekayasa Proses dan Industri Terapan Green Engineering: Journal of Engineering and Applied Science
Irwan Soejanto
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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PENJADWALAN PROYEK DENGAN PENERAPAN SIMULASI MONTE CARLO PADA METODE PROGRAM EVALUATION REVIEW AND TECHNIQUE (PERT) Widya Nurul Shofa; Irwan Soejanto; Trismi Ristyowati
OPSI Vol 10, No 2 (2017): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.284 KB) | DOI: 10.31315/opsi.v10i2.2110

Abstract

PT At Taqwa Sejahtera has implemented of residential development that duration about 152 day. Due to delay in the supply of primary raw materials, the processing time getting longer or not accordance to planning schedule on October 27, 2017. The project delay have impact on the company which will given punishment.The aim of this study research to the evaluate the project implementation schedule and project scheduling for more optimal time, with the best probability, and minimize the influence of the causes of delays to the project completion time. Project scheduling processing is done by using Program Evaluation Review and Technique (PERT) and implementation with Monte Carlo simulation using Ms Excel software.Based on data processing, the calculation of the project point accelerated time to 147 days with cost Rp 417.315.909,25 and probability of 63%, whereas with the application of Monte Carlo simulus the average conviction rate is at 156 days with cost Rp 402,310,654.25 and probability of 94%.  
Large neighborhood search for route and fleet optimization in frozen food distribution Simbolon, Jonathan Andrepa; Trismi Ristyowati; Soepardi, Apriani; Irwan Soejanto; Yuli dwi Astanti; Puryani; Chaeron, Mochammad
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15743

Abstract

This study develops an optimization model to enhance the distribution efficiency of a frozen food distributor. The company faces operational inefficiencies due to excessive fleet capacity and conventional route assignment methods, which increase travel distances and overall distribution costs. To address these challenges, an extended Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) model is proposed, which integrates heterogeneous fleet characteristics and prioritizes customer service constraints. The model is solved using the Large Neighborhood Search (LNS) metaheuristic to determine optimal routing and fleet allocation strategies. The optimized model achieves a 15.95% reduction in total travel distance and a 21.84% decrease in total distribution costs compared with the company’s current operations. The findings confirm the effectiveness of the LNS-based CVRPTW approach in improving logistics performance and provide practical insights for companies seeking to minimize distribution costs through strategic route planning and fleet management.
Co-Authors Apriani Soepardi Indun Titisariwati Mochammad Chaeron Novri Yohannes Harianja Nursubiyantoro, Eko Puryani Simbolon, Jonathan Andrepa Trismi Ristyowati Widya Nurul Shofa Yuli Dwi Astanti