DETERMINING THE DISTRIBUTION ROUTE OF MEDICAL AND INDUSTRIAL GAS CYLINDERS AT PT PUTRI KEMBAR GAS

Hafis, Fadli Rosva (2024) DETERMINING THE DISTRIBUTION ROUTE OF MEDICAL AND INDUSTRIAL GAS CYLINDERS AT PT PUTRI KEMBAR GAS. Diploma thesis, Universitas Andalas.

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Abstract

Logistics is a series of activities that include planning, implementing, and controlling the efficient and effective flow of goods, services, and information from sources to customers. One form of logistics activity is distribution. Product delivery must be carried out efficiently and accurately to customers so that distributors can make benefits. One of the strategies that can be done is by planning a proper distribution route. PT Putri Kembar Gas is a distributor of medical and industrial gas cylinders such as oxygen, argon, nitrogen, carbon dioxide, and acetylene. Based on preliminary studies, the determination of distribution routes is only based on regional clustering, so it is necessary to evaluate whether the current policy provides benefits in terms of total travel costs. Therefore, optimal distribution route planning is needed to minimize travel costs by considering travel distance, distribution time, vehicle capacity, and customer demand. The distribution route is determined using the Heterogeneous VRP Multi Trip Multi Product model from Setiawan et al. (2019). The computation is conducted first using the exact approach by LINGO 19.0 software. If the exact approach is not suitable for the system, the metaheuristic approach with genetic algorithms will be used to solve the problem. The results of the proposed route using the metaheuristic approach show that on the distribution route of December 5, 2023, the company can save the total travel cost of Rp180,447.22 or 21.73% per day from the actual cost. In addition, the proposed route can save a total distance of 12.7 km or 7.44% of the actual route and a total distribution time of 25 minutes 24 seconds or 3.62% of the actual route on that day. Based on these results, the current policy of determining distribution routes based on regional clustering has not provided optimal results.

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