Design of warehousing system in order picking process: literature review
| Autor: | Tiara Melinda, Nazaruddin, Rosnani Ginting |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 801:012126 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/801/1/012126 |
| Popis: | The warehouse is one part of a company that is holding an important role in the supply chain as a link between producers with the consumer. One of the most dominant activities in warehouse operations is the order picking process. This activity is very important because it directly affects consumer services. Even order picking generally spends around 55 % of total warehouse operating costs. The purpose of this paper is to build a framework that affects the order picking process using the Genetic Algorithm method. Some variables that influence the order picking process, especially the efficiency of order picking time include travel time, search time, pick time, setup time, number of workers and efficiency of workers. One of the causes of the high time of orders picking is the preparation of products that are not right in the warehouse. Genetic algorithms are used to find the best combination of product compilation. So that it is expected that improvements in the order picking process can improve warehouse efficiency. |
| Databáze: | OpenAIRE |
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