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Frequent Itemset Mining to Generate Initial Solutions for Simulation-Based Optimization of Warehouse Product Placement
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-0111-1776
2010 (English)In: SCMIS 2010: Proceedings of the 8th International Conference on Supply Chain Management and Information Systems (Conference Theme: Logistics Systems and Engineering) 6th-8th October 2010 Hong Kong, China, Hong Kong: The Hong Kong Polytechnic University , 2010Conference paper, (Refereed)
Abstract [en]

Warehouses are obliged to optimize their operations with regard to  multiple  objectives,  such  as  maximizing  effective  use  space, equipment,  labor,  maximize  accessibility  of  products,  maximize amount of processed orders and all this should be achieved whilst minimizing  order  processing  times,  distance  traveled,  broken promises, errors and not to forget the operational cost. A product placement problem for a warehouse is in focus of this study and the main goal is to decrease the picking time for each pick run in order to gain higher efficiency.  To achieve this, a simulation model is built as a representation of the warehouse. As the complexity and the size of the number  of input   variable   grow   it   is   essential   to   use   simulation-based optimization in order to receive a satisfying result. A set of initial solutions  for  the  simulation-based  optimization  is  needed;  since the  number  of  products  to  place  in  the  warehouse  is  huge  this solution ought to be intelligent. This paper describes a technique for  generating  such  a  set  of  solutions  through  searching  for frequent itemsets in the transaction  database. It is  believed that frequent products usually picked simultaneously should be stored closed together.

Place, publisher, year, edition, pages
Hong Kong: The Hong Kong Polytechnic University , 2010.
Keyword [en]
Warehouse Planning, Frequent Items, Simulation-Based Optimization
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-4595ISBN: 978-962-367-697-7 ISBN: 978-962-367-696-0 OAI: oai:DiVA.org:his-4595DiVA: diva2:389794
Conference
8th International Conference on Supply Chain Management and Information Systems (Conference Theme: Logistics Systems and Engineering) 6th-8th October 2010 Hong Kong, China
Available from: 2011-01-20 Created: 2011-01-20 Last updated: 2015-12-18Bibliographically approved

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