Improving the Efficiency of the Milkrun Truck Suppliers in Cikarang Area by Merging the Payload Cycles and Optimizing the Milkrun Route Using the Saving Matrix Methods

Kholil, Muhamad; Hendri,; Mangaraja, Rio David; Yosan, R. Bagus

doi:10.1088/1742-6596/1175/1/012201

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Kelemahan dari saving matrix yaitu harus dikombinasikan dengan Nearest neighbor [15], [16], [17], [18], [19] Sedangkan kelemahan dari North west corner dalam mengambil keputusan rute distribusi masih samar, karena terdapat 2 keputusan yang masih menjadi pertimbangan distributor [11], [10], [9]. Terdapat kelemahan dari metode saving matrix, north west corner yang akan di perbaiki dalam metode Complete Enumeration [20], [21].…”

Section: Pendahuluanunclassified

Desain Rute dan Optimasi Biaya Transportasi Pengisian Tabung Oksigen menggunakan Metode Complete Enumeration pada CV. Tasman Gases

et al. 2023

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The increasing demand for filling oxygen cylinders makes CV. Tasman Gases has always been consistent in planning transportation cost optimization strategies. The filling of oxygen cylinders in one distribution can transport up to 45 tubes sent to the concerned partner. The purpose of this study is to determine the shortest route and optimal cost in distributing. The method used is Complete Enumeration. The samples used include distribution locations and mileage. The procedure used begins with determining the number of routes, estimated mileage and fuel costs. There is the most optimal route selected from the 12 modeled routes. The selected route has the least transportation costs. This research makes CV. Tasman Gases has the best route, A-D-C-E-F with a distance of 10.9 km worth Rp. 10,423.13. This value is more effective than the existing A-E-C-D-F condition with a distance of 12.8 km obtaining fuel costs of Rp. 12,240.00. Thus, the distribution route and costs that have been optimal make CV. Tasman Gases can implement and identify future transportation constraints.

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Section: Pendahuluanunclassified

Desain Rute dan Optimasi Biaya Transportasi Pengisian Tabung Oksigen menggunakan Metode Complete Enumeration pada CV. Tasman Gases

et al. 2023

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“…Research conducted by Rahayu and Yuliana [12] also found that the saving matrix method is suitable for shipping automotive components because the researcher gets the result shows that the companies can optimize the route with a more efficient time using the saving matrix method. Research conducted by Kholil, Mangaraja and Yosan [13] concluded that by using the saving matrix method, PT Denso could optimize the use of trucks needed to deliver goods every day. That study reveal that Farthest Insert method is the best approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Warehouse Distribution Routes During Eid Season Using Saving Matrix and Nearest Insert Method

Kurnia¹,

Darmawan²

2021

jli

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Arranging an optimal distribution system is a challenging step in every company who runs logistics activities because it is one of the crucial factors to achieve high customers’ satisfaction level. This problem becomes more complex during the high or special seasons such as Christmas, new year, etc. In Indonesia, high season for logistics usually during the Eid season. During that special season, the demand increases while the resource decreases due to long national holiday. Failed to find an optimal distribution system might lead to a huge loss for the company. Therefore, to overcome this problem, logistics company should optimize the distribution system including optimizing the route and vehicles utilization. This paper aims to help a logistics company based in Bali, Indonesia, to find an optimal distribution route during the Eid Season. This company find difficulty to fulfil the customer demands especially during the Eid Season. To find an optimal route for the company, this paper applies Saving Matrix and Nearest Insert methods. These two algorithms are chosen because both of them have a simple procedure. Thus, it can save the computational time. Besides, a simple procedure will help the company to reuse the proposed methods for the next application. Data collection and observation in this paper were carried out during one week of Eid season in 2019. The computational results show that the optimal route is able to deliver all items before the due date with total distribution time 7 hours 16 minutes. Compare with the existing route, the proposed route reduces the total cost by 30%.

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“…A rendszer használatának célja sokszínű, bizonyos kutatásokban a cél a kapacitás kihasználása a szállítási költségek csökkentésével [6], illetve a készletköltségek minimalizálásával [7] párhuzamban. A különböző költségcsökkentéseken túl a rendszer javítja a termelési rendszerek termelékenységét és működési hatékonyságát [8].…”

Section: Szakirodalmi áTtekintésunclassified

Milkrun anyagellátási rendszer tervezése

Francuz

Bányai

2021

MDT

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Az üzemen belüli anyagellátási rendszerek egyik leggyakoribb megvalósítási formája a milkrun, ez különösen igaz az autóipari beszállítói és mechatronikai összeszerelő vállalatokra. A termelési folyamatok hatékonyságát nagymértékben befolyásolja a kapcsolódó logisztikai rendszer hatékonysága. Jelen cikk keretében a szerzők egy olyan tervezési módszert mutatnak be, mely alkalmas milkrun alapú üzemen belüli anyagellátási rendszerek optimális kialakításának támogatására.

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Improving the Efficiency of the Milkrun Truck Suppliers in Cikarang Area by Merging the Payload Cycles and Optimizing the Milkrun Route Using the Saving Matrix Methods

Cited by 6 publications

References 2 publications

Desain Rute dan Optimasi Biaya Transportasi Pengisian Tabung Oksigen menggunakan Metode Complete Enumeration pada CV. Tasman Gases

Desain Rute dan Optimasi Biaya Transportasi Pengisian Tabung Oksigen menggunakan Metode Complete Enumeration pada CV. Tasman Gases

Optimizing Warehouse Distribution Routes During Eid Season Using Saving Matrix and Nearest Insert Method

Milkrun anyagellátási rendszer tervezése

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