Reducing Picker Blocking in a High-Level Narrow-Aisle Order Picking System

Integrating storage location and order picking problems in warehouse planning

“…Table 1 presents an overview of the studies that considered multiple policies for the SLAP and the OPP to analyze well-performing combinations under different circumstances. [11] Fr Di/Wa/Ot Ss/Re/Mp/Lg Hsieh and Huang [21] Fr Wa Ss/Ot Hsieh and Tsai [22] Fr/Af Di Ss/Re Pan and Wu [30] Fr Di/Wa/Aa Ss/Re/Ot Petersen [34] Fr Di/Wa Ss/Lg/Ot Petersen and Aase [35] Fr Wa Fr Wa Ss/Ot Petersen et al [36] Fr Di/Wa/Ot Ss Quader and Castillo-Villar [38] Fr Wa/Ot Ss/Re/Mp/Lg Roodbergen et al [42] Fr Di/Wa/Ot Ss/Re/Lg/Ot Theys et al [47] Fr Wa Ss/Lg/Ot Van Gils et al [48] Fr Wa/Ot Ss/Re/Mp Van Gils et al [49] Fr Di/Wa/Ot Ss/Re/Lg/Ot Van Gils et al [51] Fr Di/Wa/Ot Ss/Re/Mp/Ot *Fr: Frequency-based, Af: Affinity-based, COI: Cube per order index, Wa: Within-aisle, Di: Diagonal, Ss: S-shape, Re: Return, Mp: Midpoint, Lg: Largest gap, Ot: Other When demands are known only at the product level, i.e., we have a good approximation of the number of times each product will be ordered, the best way to solve the SLAP is using a simple storage policy due to the uncertainties involved in the batching of orders to create pick lists. In this case, it is useful to know the interactions between storage and routing policies so that a good combination is used.…”

A Comprehensive Framework for the Design of Modular Robotic Mobile Fulfillment Systems

“…In order to promote storage assignment, Marius Merschformann proposes both passive and active repositioning methods [25], whereas the latter technique boosts throughput performance. References [26], [27] investigate the importance of incorporating real-life features into order picking strategies, and provide robust policies for organizing operations efficiently. With regard to system design, many researchers have devoted themselves to study how warehouse layout and device configuration influence system performance.…”