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All Journal Jurnal Rekayasa Sistem Industri Jurnal Optimasi Sistem Industri
Yoon Mac Kinley Aritonang
Universitas Katolik Parahyangan
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Sequential Routing-Loading Algorithm for Optimizing One-Door Container Closed-Loop Logistics Operations Paulina Kus Ariningsih; Titi Iswari; Kevin Djoenneady Poetra; Yoon Mac Kinley Aritonang
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.68 KB) | DOI: 10.25077/josi.v19.n2.p122-132.2020

Abstract

One-door container type of vehicle is the main tool for urban logistics in Indonesia which may take the form of truck, car, or motorcycle container. The operations would be more effective when it is performed through pickup-delivery or forward-reverse at a time. However, there is difficulty to optimize the operation of routing and container loading processes in such a system. This article is proposing an improvement for algorithm for sequential routing- loading process which had been tested in the small datasets but not yet tested in the case of big data set and vehicle routing problem with time windows. The improvement algorithm is tested in big data set with the input of the vehicle routing problem with time windows (VRP-TW) using the solution optimization of the Simulated Annealing process with restart point procedure (SA-R) for the routing optimization and Genetic Algorithm (GA) to optimize the container loading algorithm. The large data sets are hypothetical generated data for 800-2500 single-sized products, 4 types of container capacity, and 100-400 consumer spots. As result, the performance of the proposed algorithm in terms of cost is influenced by the number of spots to be visited by the vehicle and the vehicle capacity. Limitations and further analysis are also described in this article.
Pengembangan Pendekatan Matematis dan Penyelesaiannya untuk Reliabilitas Sistem Dengan Distribusi Kegagalan Berbeda Yoon Mac Kinley Aritonang
Jurnal Rekayasa Sistem Industri Vol. 12 No. 1 (2023): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.149 KB) | DOI: 10.26593/jrsi.v12i1.6318.35-42

Abstract

The productivity of a company or industry is highly dependent on the performance of the machines or equipment used. Reliability is one measure of machine or equipment performances. In industry, machines usually will form a complex configuration with each component having a different failure distribution. Research has been carried out for three systems installed in parallel where the three systems have different of failure distributions. The failure distribution used is the Normal, Weibull, and Normal Log distribution. Reliability calculations can be accomplished by making the three distributions have a similar shape even if could e the same. The three distributions have their respective parameters whose values ​​will be determined so that there is a similarity in the shape of the three distributions. System reliability od system with parallel configuration can then be calculated.
Co-Authors Iswari, Titi Kevin Djoenneady Poetra Paulina Kus Ariningsih, Paulina Kus