Effectiveness in warehouse design and operations is crucial for the industrial companies to be competitive in the market arena by reducing the response time and inbound costs, increasing their global service level. Storage assignment deals with the definition of effective strategies to organise items into industrial warehouses to achieve high performances. This paper enhances the conventional approaches on storage assignment proposing a time and energy based strategy, for single-deep rack automatic warehouses served by aisle captive AS/RSs, based on the joint minimisation of the travel time and the energy required by the cranes to S/R the unit-loads. The models to compute the expected single-command cycle time and energy are integrated into a multi-objective model, optimising the load assignment. An application, taken from the beverage industry, is, finally, discussed. The different perspectives of adopting time and energy to drive the load assignment are stressed proposing a practical best trade-off rule.

Time and energy based assignment strategy for unit-load AS/RS warehouses

FACCIO, MAURIZIO;
2015

Abstract

Effectiveness in warehouse design and operations is crucial for the industrial companies to be competitive in the market arena by reducing the response time and inbound costs, increasing their global service level. Storage assignment deals with the definition of effective strategies to organise items into industrial warehouses to achieve high performances. This paper enhances the conventional approaches on storage assignment proposing a time and energy based strategy, for single-deep rack automatic warehouses served by aisle captive AS/RSs, based on the joint minimisation of the travel time and the energy required by the cranes to S/R the unit-loads. The models to compute the expected single-command cycle time and energy are integrated into a multi-objective model, optimising the load assignment. An application, taken from the beverage industry, is, finally, discussed. The different perspectives of adopting time and energy to drive the load assignment are stressed proposing a practical best trade-off rule.
2015
PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH, Manila August 2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3187417
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