The integration of human factors in order picking planning problems (R-13261)

The field of logistics faces tremendous challenges in the upcoming years due to, among others, the growing share of e-commerce transactions and a larger amount of product varieties, while customers expect fast and accurate delivery. Meeting these expectations in a cost-efficient way requires the optimal organisation and management of logistical processes, now more than ever. The harmonisation of warehouse characteristics on the one hand and employees' qualities and traits on the other hand offers an interesting, yet challenging opportunity. Order picking, i.e. retrieving products from storage locations and mainly performed manually, is by far the costliest activity within a warehouse, and is currently organised by means of several key planning problems. However, previous studies have highlighted that these planning problems barely take the affected human operators into account. Consequently, the main goal of this research is to develop models that are capable of capturing the true dynamics within a warehouse, without the utopic abstraction of human operators. The PhD project provides innovative tools that can be used both by practitioners and academics in order to enhance their logistic models and make them even more realistic. Additionally, the research contributes to the operations management community in general by presenting innovative algorithms and new insights that contribute to the efficient problem-solving of similar challenges in related research domains.

Keywords:Heuristic algorithms, Human factors, Warehouse management

Disciplines:Operations research and mathematical programming, Logistics and supply chain management, Production and service management, Econometric and statistical methods and methodology, Mathematical methods, programming models, mathematical and simulation modelling