OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI)
In the business, distribution has a very important role. The distribution process must be able to deliver products on time while it also reduces the transportation costs which can consume around 50% of the company's total logistics costs. If distribution costs can be reduced, it can indirectly...
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UIN Sunan Kalijaga, Faculty of Science and Technology, Industrial Engineering Department
2022-07-01
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Series: | Journal of Industrial Engineering and Halal Industries |
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Online Access: | https://ejournal.uin-suka.ac.id/saintek/JIEHIS/article/view/3422 |
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author | Rian Puji Kusuma Dwi Agustina Kurniawati Dwi Kristanto Noordin Mohd. Yusof Kuan Yew Wong |
author_facet | Rian Puji Kusuma Dwi Agustina Kurniawati Dwi Kristanto Noordin Mohd. Yusof Kuan Yew Wong |
author_sort | Rian Puji Kusuma |
collection | DOAJ |
description | In the business, distribution has a very important role. The distribution process must be able to deliver products on time while it also reduces the transportation costs which can consume around 50% of the company's total logistics costs. If distribution costs can be reduced, it can indirectly increase the company’s profit. PT. GSI, located in Yogyakarta, is a distributor of packed drinking water company with brand “PLG”. In determining the distribution route, PT. GSI does not use any scientific method and only uses the driver’s intuition. The purpose of this study is to optimize the distribution route of the “PLG” packed drinking water delivery to obtain the minimum mileage by using the Clarke and Wright Savings and Nearest Neighbor methods. The Clarke and Wright Savings method and the Nearest Neighbor method are used because the customer locations are far from each other and there are also customers whose delivery locations are centered on one delivery area, so that the calculation of distance savings is needed. Then the evaluation is done to determine which method is better. The comparison of the solution for data on 1st ,2nd ,3rd ,4th, and 6th March 2021 showed that the Nearest Neighbor method proposed best solution while data on 5th March 2021 showed that Clarke and Wright Savings giving the best solution. The results show that the Nearest Neighbor method provides better result in determining the distribution routes of PT. GSI. |
format | Article |
id | doaj-art-b360066d4f60438192176a25b6169231 |
institution | Kabale University |
issn | 2722-8150 2722-8142 |
language | English |
publishDate | 2022-07-01 |
publisher | UIN Sunan Kalijaga, Faculty of Science and Technology, Industrial Engineering Department |
record_format | Article |
series | Journal of Industrial Engineering and Halal Industries |
spelling | doaj-art-b360066d4f60438192176a25b61692312025-01-06T05:54:18ZengUIN Sunan Kalijaga, Faculty of Science and Technology, Industrial Engineering DepartmentJournal of Industrial Engineering and Halal Industries2722-81502722-81422022-07-0122778410.14421/jiehis.34223048OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI)Rian Puji KusumaDwi Agustina KurniawatiDwi KristantoNoordin Mohd. YusofKuan Yew WongIn the business, distribution has a very important role. The distribution process must be able to deliver products on time while it also reduces the transportation costs which can consume around 50% of the company's total logistics costs. If distribution costs can be reduced, it can indirectly increase the company’s profit. PT. GSI, located in Yogyakarta, is a distributor of packed drinking water company with brand “PLG”. In determining the distribution route, PT. GSI does not use any scientific method and only uses the driver’s intuition. The purpose of this study is to optimize the distribution route of the “PLG” packed drinking water delivery to obtain the minimum mileage by using the Clarke and Wright Savings and Nearest Neighbor methods. The Clarke and Wright Savings method and the Nearest Neighbor method are used because the customer locations are far from each other and there are also customers whose delivery locations are centered on one delivery area, so that the calculation of distance savings is needed. Then the evaluation is done to determine which method is better. The comparison of the solution for data on 1st ,2nd ,3rd ,4th, and 6th March 2021 showed that the Nearest Neighbor method proposed best solution while data on 5th March 2021 showed that Clarke and Wright Savings giving the best solution. The results show that the Nearest Neighbor method provides better result in determining the distribution routes of PT. GSI.https://ejournal.uin-suka.ac.id/saintek/JIEHIS/article/view/3422distribution routenearest neighborclarke and wright savingsmileagesaving matrix |
spellingShingle | Rian Puji Kusuma Dwi Agustina Kurniawati Dwi Kristanto Noordin Mohd. Yusof Kuan Yew Wong OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) Journal of Industrial Engineering and Halal Industries distribution route nearest neighbor clarke and wright savings mileage saving matrix |
title | OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) |
title_full | OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) |
title_fullStr | OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) |
title_full_unstemmed | OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) |
title_short | OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) |
title_sort | optimizing distribution route of packed drinking water with the clarke and wright savings and nearest neighbor methods case study of pt gsi |
topic | distribution route nearest neighbor clarke and wright savings mileage saving matrix |
url | https://ejournal.uin-suka.ac.id/saintek/JIEHIS/article/view/3422 |
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