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Software for dynamic reconfigurable order picking systems |
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| Authors: | Thomas L. Landers Melinda K. Beavers Malik Sadiq Don E. Stuart |
| Affiliation: | a University of Arkansas, Fayetteville, Arkansas, USA b AT&T, Bentonville, Arkansas, USA c Humco, Inc., Texarkana, Texas, USA d AT&T, Little Rock, Arkansas, USA |
| Abstract: | This paper describes an approach, conceptual framework, and software architecture for dynamic reconfiguration of the order picking system. The research and development project was sponsored by the Material Handling Research Center (MHRC), a National Science Foundation sponsored Cooperative Industry/University Research Center. The storage configuration is assumed to be an in-the-aisle order picking system in which stockkeeping units (SKUs) can occupy variable capacity storage locations and stock-splitting is allowed among zones (clusters). The product mix may include multiple product families with different life cycles, correlated demand within families and commonality of demand across families. |
| Keywords: | order picking stock location assignment clustering algorithm |
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