Peningkatan Efisiensi Picking Dengan Menggunakan Order Batching Statis – Earliest Due Date

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%. &nbsp

Estimasi Trip Frequency Dengan Menggunakan Model Multiple Linear Regression

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

Penentuan dan Pengendalian Ruang Simpan Pendingin dan Hubungannya dengan Stok Pada Industri Makanan

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

Analisis Jarak Tempuh dengan Menggunakan Sistem Simulasi

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)

Estimasi Jarak Tempuh Order Picking System - Low Level to Part di PT. GMS

Travel distance has an important role in order picking system, low-level picker-to-part, especially in warehousing productivity. Reducing travel distance means reducing travel time. Research was conducted at PT.GMS that uses random storage which means every item has an equal probability and every item is taken and used by production. Access frequency is assumed to be the same. Travel distance estimation is using probability calculation approach and combination with uniform distribution. Several methods are used to explore the shortest distance: Return Without Repetition, Midpoint Heuristics, and Traversal Without Skip. The results has shown that Midpoint strategy is better than Return Without Repetition and Traversal Without Skip

Estimasi Jarak Tempuh Order Picking System - Low Level to Part di PT. GMS

Travel distance has an important role in order picking system, low-level picker-to-part, especially in warehousing productivity. Reducing travel distance means reducing travel time. Research was conducted at PT.GMS that uses random storage which means every item has an equal probability and every item is taken and used by production. Access frequency is assumed to be the same. Travel distance estimation is using probability calculation approach and combination with uniform distribution. Several methods are used to explore the shortest distance: Return Without Repetition, Midpoint Heuristics, and Traversal Without Skip. The results has shown that Midpoint strategy is better than Return Without Repetition and Traversal Without Skip

Peningkatan Efisiensi Picking Dengan Menggunakan Order Batching Statis – Earliest Due Date

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%. &nbsp

Analisis Waktu Picking dengan Menggunakan Zone System

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