A Solution of Freshness Constraint Order Batching Problem for Fresh Food E-Commerce
2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2022
; 30:603-610, 2022.
Article
in English
| Scopus | ID: covidwho-2198469
ABSTRACT
Influenced by the Covid-19 pandemic, fresh food e-commerce market in China developed quickly. Efficient solution for Order Batch Problem (OBP) could achieve efficient batching operation and then reduce costs and control risks. However, the OBP model proposed by the previous researches did not consider the characteristics of fresh food products such as the less demand of orders, the large variety of products, perishability of products and etc. Therefore, this paper proposed a model of OBP with freshness constraint of perishable food products, and proposed a two-stage heuristic algorithm to solve the target problem of the model. Our solution could improve the efficiency of the sorting process while ensuring the freshness of food products. © 2022 The authors and IOS Press.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2022
Year:
2022
Document Type:
Article
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