Abstract
Automated Storage and Retrieval Systems (AS/RSs) are warehousing systems that are used for the storage and retrieval of products in both distribution and production environments. This research deals with the batch order picking (BOP) problem in an ASIRS. When a batch of retrieval requests, which consist of multiple items and these items are stored in multiple locations in a rack, are launched, the storage/retrieval (S/R) machine has to travel to numerous storage locations to complete each order. The aim of this research is to employ genetic algorithm (GA) for the purpose of minimizing the total distance travelled by the SIR machine. An experimental case study is designed to test the proposed GA. The results show that GA can significantly reduce not only the total travel distance but also the total travel time of the SIR machine.
| Original language | English |
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| Title of host publication | 2010 World Automation Congress, WAC 2010 |
| Publication status | Published - 2010 |
| Event | 2010 World Automation Congress, WAC 2010 - Kobe, Japan Duration: 19 Sept 2010 → 23 Sept 2010 |
Publication series
| Name | 2010 World Automation Congress, WAC 2010 |
|---|
Conference
| Conference | 2010 World Automation Congress, WAC 2010 |
|---|---|
| Country/Territory | Japan |
| City | Kobe |
| Period | 19/09/10 → 23/09/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Automated Storage/Retrieval System (AS/RS)
- Batch Order Picking (BOP)
- Cellular Manufacturing (CM)
- Genetic Algorithm (GA)
- Storage/Retrieval (S/R) machine
ASJC Scopus subject areas
- Control and Systems Engineering
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