An order-picking operations system for managing the batching activities in a warehouse.

*(English)*Zbl 1302.90115Summary: Nowadays, customer orders with high product variety in small quantities are often received and requested for timely delivery. However, the order-picking process is a labour-intensive and costly activity to handle those small orders separately. In such cases, small orders are often grouped into batches so that two or more orders can be served at once to increase the picking efficiency and thus reduce the travel distance. In this paper, an order-picking operations system (OPOS) is proposed to assist the formulation of an order-picking plan and batch-handling sequence. The study integrates a mathematical model and fuzzy logic technique to divide the receiving orders into batches and prioritise the batch-handling sequence for picking, respectively. Through the proposed system, the order-picking process can be managed as batches with common picking locations to minimise the travel distance, and the batch-picking sequence can be determined as well. To demonstrate the use of the system, a case study in a third-party logistics warehouse is presented, and the result shows that both the order-picking activity and labour utilisation can be better organised.

##### MSC:

90B90 | Case-oriented studies in operations research |

90B06 | Transportation, logistics and supply chain management |

90C70 | Fuzzy and other nonstochastic uncertainty mathematical programming |

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\textit{C. H. Y. Lam} et al., Int. J. Syst. Sci., Princ. Appl. Syst. Integr. 45, No. 6, 1283--1295 (2014; Zbl 1302.90115)

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##### References:

[1] | Morandin O., Proceedings of the International Conference on Computational Intelligence for Modelling Control & Automation 2008 pp 597–602– (2008) |

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