Determining the shortest path for inner transportation in warehouse by dynamic programming method / Nurdiana Mohd Razif, Nurul Najiha Mohammed Hairul and Ungku Sofi Dayana Ungku Iskandar Zukarnine
This study was conducted to detennine the shortest path for an order picker to collect all of the ordered items in a warehouse. This study focusing only on one forklift. Dynamic Programming Method was chosen to conduct this study in order to solve the shortest path problem. The shortest path problem...
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | Student Project |
| 語言: | English |
| 出版: |
2019
|
| 主題: | |
| 在線閱讀: | http://ir.uitm.edu.my/id/eprint/39475/1/39475.pdf http://ir.uitm.edu.my/id/eprint/39475/ |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | This study was conducted to detennine the shortest path for an order picker to collect all of the ordered items in a warehouse. This study focusing only on one forklift. Dynamic Programming Method was chosen to conduct this study in order to solve the shortest path problem. The shortest path problem has an optimal substructure so it is suitable to solve by Dynamic Programming since it is a method that break complex problems into simple subproblems. Few problems faced in the warehouse are such as the order pickers have a hard time in finding the shortest path to collect the order items. Next, the picking time is limited which all of the customers' orders have to be picked during normal working hours only. Due to this, the main objective of this study is to determine the shortest path to be passed to collect all of the customers' orders in the warehouse within normal working hours. There are four stages involved in this study which are the brief description of Dynamic Programming Method, analysis of data, find the shortest path by using Dynamic Programming Method and perfonnance evaluation using Microsoft Excel. For the process of finding the results, the layout of the warehouse is executed into the distance matrix table for better understanding. The shortest route distance is calculated by manual calculation and a system in Microsoft Excel. This study helps to minimize the costs involved in transportation in the warehouse. |
|---|