황학 교수

SUMMARY Existing travel-time models of automated storage/retrieval systems (AS/RS) assume the average uniform velocity, ignoring the operating characteristics of storage/retrieval (S/R) machine such as the acceleration/deceleration rate and the maximum velocity. Consequently, the optimal design and schedule based on the existing models is far from optimal from the practical point of view. This paper presents continuous analytical models of travel time which integrate the operating characteristic

Abstract This paper deals with an order picking problem in an automated storage and retrieval system (AS/RS). We present heuristic algorithms for batching a set of orders such that the total distance travelled by the order picking machine is minimized. These algorithms are based on cluster analysis and their efficiency and validity are illustrated through computer simulation. The results show that the algorithms developed perform substantially better than those from previous studies.

Abstract Multi-aisle S/R machine system (MASS) can substantially reduce high initial investment cost which is a major reason for the low popularity of AS/RS in manufacturing companies. The objective of this study is mainly related to the design aspects of MASS. With a travel time model developed, average travel time of S/R machine is determined. We propose rack-class-based storage assignment procedure and class selection procedure to find the minimum number of S/R machines required and identify