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Journal : JKIE (Journal Knowledge Industrial Engineering)

Optimization of Distribution Routes for Srikandi MSMES in Samarinda Using VRP Method: A Comparative Study of CWS and CFRS Hasdi, Rani Anjelika; Isharyani, Muriani Emelda; Wahyuda
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 2 (2025): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v12i2.6356

Abstract

This research aims to optimize the distribution route of snack products for UMKM Srikandi Samarinda using the Vehicle Routing Problem (VRP) approach. The main issues are high travel distances, fuel costs, and delivery times due to the absence of route optimization. Two VRP solution methods are compared: Clarke and Wright Savings (CWS) and Cluster First Route Second (CFRS). The CWS method reduces travel distance by combining routes based on the highest distance savings between customer points, maximizing vehicle capacity. The CFRS method groups customer points into clusters using the Sweep algorithm based on proximity to the depot and determines the visit sequence within each cluster using the Nearest Neighbor method. Results show CFRS achieves better distribution efficiency. On the first route, CFRS traveled 94.1 km using 7 liters of fuel (Rp88,550), while CWS traveled 113.7 km using 9 liters (Rp113,850). On the second route, both methods covered about 75 km with similar fuel costs (Rp75,900), but CFRS was more consistent in savings, with the highest efficiency at 63.28%. With a total fuel cost saving of Rp140,939 compared to the initial condition, CFRS is recommended as the optimal solution, capable of reducing distance, operational costs, and improving delivery effectiveness.
Analysis of Dump Truck Spare Parts Inventory Control Using the EOQ Lot Sizing Method at PT XYZ Alnadhif, Delvio Raditya; Sitania, Farida Djumiati; Wahyuda
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 2 (2025): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v12i2.6102

Abstract

PT XYZ operates in hauling, mining, and road maintenance. At one of its operational sites, the company only orders spare parts when stock runs out, leading to frequent orders, increased operational costs, and disruptions due to stock shortages. Effective inventory management is essential to ensuring sufficient stock availability while minimizing costs. This study focuses on optimizing spare parts inventory for Dongfeng dump trucks using the Economic Order Quantity (EOQ) method. EOQ determines the optimal order quantity by balancing ordering and holding costs, aiming to reduce total inventory expenses. Demand forecasting is conducted to support inventory optimization. The findings indicate that implementing EOQ significantly lowers total inventory costs compared to the company’s current approach. The EOQ model results in a total inventory cost reduction of 39.15%, saving IDR 10,514,286. The analysis highlights that ordering and holding costs play a crucial role in inventory expenses. These insights can serve as a reference for PT XYZ in developing more efficient inventory management policies to improve operational continuity and reduce the risk of downtime due to spare parts shortages.