Proceedings of the International Conference on
Software, Knowledge, Information Management and Applications (SKIMA 2013)
Advanced Technology Solutions and Applications in Higher Education and Enterprises
 
(from Chapter 5: Optimisation, Planning and Decision Support)

 Full Citation and Abstract

Title: An agent-based approach for finding the optimal dwell point in automated storage/retrieval systems
  Author(s): Emanuel Federico Alsina, Giacomo Cabri, Alberto Regattieri, Giulia Santarelli
  Address: Department of Physics, Informatics and Mathematics (FIM), University of Modena and Reggio Emilia, Italy
Department of Physics, Informatics and Mathematics (FIM), University of Modena and Reggio Emilia, Italy
Department of Industrial Mechanical Plants (DIEM), University of Bologna, Italy
Department of Industrial Mechanical Plants (DIEM), University of Bologna, Italy
emanuelfederico.alsina @ unimore.it, giacomo.cabri @ unimore.it, alberto.regattieri @ unibo.itgiulia.santarelli3 @ unibo.it
  Reference: SKIMA 2013 Proceedings  pp. 181 - 188
  Abstract/
Summary
Automated storage/retrieval systems are devices that allow intensive physical storage of materials. They can improve the performance of the supply chain, reduce labour costs and minimise the system response time. This study presents a multi-agent system able to investigate the dwell point position for random allocation of unit loads, simulating different storage dimensions (varying the number of spans and the number of levels simultaneously) and arrivals (varying the interval between requested tasks). We propose a model in which a dwell point is attracted by the positions where the most recent storage or retrieval operations have been performed. The results of this analysis are presented in terms of travel time and waiting time, and are compared with the performance of other policies found in literature.
 
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