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All Journal Tibuana : Journal of Applied Industrial Engineering Nusantara Science and Technology Proceedings Juminten : Jurnal Manajemen Industri dan Teknologi KARYA: Jurnal Pengabdian Kepada Masyarakat
Sinta Dewi
Department Of Industrial Engineering, Faculty Of Engineering, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Public Health

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Journal : Nusantara Science and Technology Proceedings

 1 
Determining the Shortest Route of Distribution to Reduce Environmental Emissions Using Saving Matrix and Nearest Neighbor Methods Farida Pulansari; Isna Nugraha; Sinta Dewi
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

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Abstract

One of the problems with the Vehicle Routing Problem (VRP) is the problem of fulfilling customer requests according to the location that must be supplied from depots that have limited vehicle capacity. This also happened to Distributor PT. XYZ is located in Lamongan. Every day the distributor of PT. XYZ distributes fertilizer to several cities in East Java, one of which is in the city of Blitar. The problem that happened to the distributor of PT. XYZ does not yet have an optimal distribution route, resulting in delays in the delivery process. Optimization of distribution routes can be done by finding the shortest route in fertilizer distribution in the Blitar area. With the saving matrix and nearest neighbor method, the best route arrangement can shorten the distance and product delivery time. The final result will be savings in distribution costs because it can reduce fuel consumption for fertilizer trucks, reducing the company's variable costs and reducing environmental emissions.
Determining Distribution Vehicle Routes to Reduce Distribution Costs Using Sequential Insertion Method at PT. XYZ Sumiati; Sinta Dewi; Isna Nugraha
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

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Abstract

VRP is concerned with determining routes for problems involving more than one vehicle with a certain capacity to serve consumers with their respective requests. Route determination is one of the important factors in delivering products to consumers. Determining the optimal distribution route can minimize distance, shorten product delivery time and save transportation costs. PT. XYZ is a company engaged in the distribution of consumer goods. Problems that are happening at PT. XYZ is a product distribution problem where the number of vehicles is limited. The number of customers and the distance from the depot to the customer and from one customer to another is far away. Therefore, it is necessary to determine distribution routes, especially in transportation problems, to save time, distance, and distribution costs. The objectives to be achieved from research at PT. XYZ is to determine the product distribution route using the Sequential Insertion method. Based on the data processing results, the route Sequential Insertion method can serve customers in 5 routes with a total distance of 227.8 km, a total travel time of 15.9 hours, and a total distribution cost of IDR 145,792/week. The travel distance savings are 28.20 km, and the percentage of distribution cost savings is 11%, or the distribution cost savings are IDR 866,304/year. So, the Sequential Insertion method can be applied to determine the optimal distribution route to produce a minimum distribution cost
Supply Chain Performance Measurement in a Refractory Brick Industry Dira Ernawati; Sinta Dewi; Ni Ketut Sari
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2726

Abstract

Every company needs to optimize and improve its performance. Performance improvement strategies cannot be well formulated if there has never been a performance measurement itself before. Determining the overall condition of the company can be done by assessing the performance of the entire lines of the supply chain. The SCOR model is considered appropriate for complex supply chain activities because it has a measurement process of plan, source, make, deliver, and return. The scale for each process in the supply chain is different, so the Snorm De Boer normalization technique is applied to equalize the assessment units for each criterion. Based on the performance indicator (PI) calculation, six PIs scores are below the average performance. Those six Pis are raw material planning, production planning, planning cycle time, yield, product defect from production, and the number of equipment maintenance. The six PIs are assessment indicators for the planning process and production process, so an improvement of the management system for both activities is essential to be carried out immediately to improve overall supply chain performance.
Co-Authors Avia Maharani Situmorang Clara Christinauli Dira Ernawati Fadillah Tyanto Bagaskoro Farida Pulansari Hafid Syaifullah Isna Nugraha Isna Nugraha Mega Cattleya PA Islami Mega Cattleya Prameswari Anissa Islami Rafi Decca Bryanto Rizqi Novita Sari Rizqi Novita Sari Rizqi Novita Sari Sari Ni Ketut Sumiati Sumiati Yahya Cakra Sanjaya Yekti Condro Winursito Yekti Condro Winursito Yekti Condro Winursito