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Agung Chandra
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering

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Estimasi Jarak Tempuh Order Picking Manual Dengan Metode Analitik di PT. GMS Agung Chandra
Jurnal Teknik Industri Vol. 15 No. 2 (2014): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol15.No2.154-160

Abstract

Travel distance has a significant role in warehousing productivity. One way to calculate travel distance is to use analytical method, in term of average travel distance. Routing strategy implemented, S-shape / traversal strategy and Return strategy, random storage method are used in this paper at PT.GMS. The components of average travel distance are used to calculate: traveling distance from the depot to the first pick aisle, traveling distance through subaisle with picks, correction of travel distance for turns within subaisle, traveling distance in the cross aisle while picking, traveling distance back to the depot if all picks in one block, and total average travel distance. The results show the total average travel distance using S-shape is 41.4095 meter and return strategy is 45.7165 meter.
Peningkatan Efisiensi Picking Dengan Menggunakan Order Batching Statis – Earliest Due Date Agung Chandra
Jurnal METRIS Vol. 18 No. 02 (2017): 2017
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

Order Picking activity has about 55% of warehouse operational cost. Because of that, a company XYZ, management views that warehouse activities which employs human energy need to be improved and be efficient. One of the strategies is to do order picking simultaneously for some customer orders, this way is common called Order Batching. The type of order batching is static and based on Earliest Due Date. The result of order batching implementation has an impact on reduction of travel distance about 31.8%.
Minimasi Jalur Distribusi di PT. XYZ dengan Metode Improved Cluster First Route Second Agung Chandra; Bambang Setiawan
Jurnal METRIS Vol. 20 No. 01 (2019): 2019
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v20i1.2377

Abstract

Reducing distance in delivery service from distribution center to subsidiaries can be reached through well-managed routing which known as VRP - Vehicle Routing Problem. This study was conducted in a food industry PT. XYZ. Two methods, Cluster First Route Second algorithm and linier programming were used to obtain the minimum distance between distribution center to outlets in Jabodetabek area. The cluster first route second method was improved using linier programming – solver. The improved method shows 774.18 kilometer is better than Cluster Firs Route Second, 832.19 kolometer which is 6.97% shortened.
Estimasi Trip Frequency Dengan Menggunakan Model Multiple Linear Regression Agung Chandra
Jurnal METRIS Vol. 18 No. 01 (2017): 2017
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

One important step in transportation planning is trip generation or trip frequency (trip production). Factors that influence trip frequency are income, family size, and vehicle ownership. One has to know the relationship between trip frequency and its factors by building the statistical model. The model is Multiple Linier Regression which the dependent variable is trip frequency and the independent variables are income, family size and vehicle ownership.
S-Metaheuristics Approach to Solve Traveling Salesman Problem Agung Chandra; Aulia Naro
Jurnal METRIS Vol. 21 No. 02 (2020): 2020
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2496

Abstract

Metaheuristic algorithm is a state of the art optimization method which suitable for solving large and complex problem. Single solution technique – Smetaheuristic is one of metaheuristic algorithm that search near optimal solution and known as exploitation based. The research conducted to seek a better solution for deliverying goods to 29 destinations by comparing two well known optimization methods that can produce the shortest distance: Simulated Annealing (SA) and Tabu Search (TS). The result shows that TS – 107 KM has a shorter distance than SA – 119 KM. Exploration based method should be conducted for next research to produce information in which one is a better method
Penentuan dan Pengendalian Ruang Simpan Pendingin dan Hubungannya dengan Stok Pada Industri Makanan Agung Chandra
Jurnal METRIS Vol. 15 No. 01 (2014): 2014
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

factors: unit of measurement, storage dimension, packaging dimension, minimum and maximum stock, andaisle allowance. Unit of measurement is used to convert inventory stock to physical inventory. Dimension isused to determine space area and stacks, include effective storage area and utilization. Minimum andmaximum stock are used as indicator for monitoring current stock and to predict space area that will be usedfor some periods ahead. Aisle allowance is used for material and personnel movement. Next research needsto be developed for layout model to get the whole view of storage area.
Pengukuran Kinerja Gudang Dengan Menggunakan Metode Balanced Scorecard – Studi Kasus Pada PT. GMS - Jakarta Agung Chandra
Jurnal METRIS Vol. 15 No. 02 (2014): 2014
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

Market competition in food industry is growing tougher and tougher. More accurate quality service and faster delivery time are customer demands. One way to achieve them is to improve logistics and warehouse sector. Performance measurement must be established and monitored periodically. The research is conducted by using Balanced Scorecard at PT. GMS – Jakarta. The result has shown that three aspects: financial, customer, internal process must be maintained and one aspect must be improved: learning and growth
Analisis Order Picking dengan Menggunakan Metode Routing Heuristics di Gudang PT. GMS Agung Chandra
Jurnal METRIS Vol. 16 No. 02 (2015): 2015
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

Order picking is the most labour and costly activities both in manual system and automated system. So, it is necessary to improve efficiency and productivity. One way to do is to reduce travel distance or travel time. Time can be reduced by implementing routing heuristics method which has the shortest distance, and shorter distance means less energy consumption and fit to greener warehousing concept. The research at PT. GMS, Jakarta shows the routing method – Midpoint, The Largest Gap, and Combined – dynamic programming are the most efficient method
Analisis Waktu Picking dengan Menggunakan Zone System Agung Chandra
Jurnal METRIS Vol. 17 No. 01 (2016): 2016
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

Productivity in order picking time is continuously evaluated and analyzed, because mostly picking is done manually by human. Zone system is one of the methods to increase productivity. In this research, zones is determined by a number of pickers and zone in warehouse is evaluated and divided into 1 zone to 3 zones, congestion and blocking factor are negligible, random storage assignment and S-Shape routing method are used. Total travel time is calculated by summing travel time within storage aisle, travel time in the cross aisle, setup time, and picking time. By comparing among all zones, the result indicates that when the number of zones increases, expected time to finish pick route will be decreased.
Analisis Jarak Tempuh dengan Menggunakan Sistem Simulasi Agung Chandra
Jurnal METRIS Vol. 17 No. 02 (2016): 2016
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

This research is designed to get the shortest time and distance for Order Picking activities. This activity is categorized as a labor – intensive activity and is the most critical activity in warehouse operation. One way to achieve that is by using the routing method – S-Shape and Return Strategy which are the most common and widely used method by a picker (s). Congestion or queuing factor is included when there are more than one picker and simulated by Warehouse Real Time Simulator (WRTS) and to get the shortest distance by using Warehouse Optimizer (WO). By combining WRTS and WO, the result is shortest distance, shortest time, and optimal man power (picker).
Co-Authors AULIA NARO Bambang Setiawan