| Autor: |
Haolin Li, Junyan Lyu, Lu Zhen, Dan Zhuge |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Cleaner Logistics and Supply Chain, Vol 4, Iss , Pp 100042- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2772-3909 |
| DOI: |
10.1016/j.clscn.2022.100042 |
| Popis: |
Shuttle-based storage and retrieval system (SBS/RS) is a smart warehouse system evolved from automated storage and retrieval system. It is used for the storage and order picking of products in e-commerce warehouses because of its flexibility and low-carbon feature. This paper investigates the multi-item order batching and retrieving problem for SBS/RS, in which orders containing different items are batched and processed by the system. A mixed-integer linear programming model is proposed to jointly optimise the batching and retrieving assignment, and a tabu search algorithm along with an efficient algorithm for generating retrieving assignments are developed for problem-solving. Numerical experiments are then conducted to validate the efficiency of the proposed algorithm as well as the carbon emission reduction potential of the developed model. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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