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Rs optimal layout
Rs optimal layout









At the light of these results, the best heuristic is also tested using a rolling-horizon planning strategy in a real-world case study, obtained from a Chilean company. The obtained results show that the proposed heuristics are not only able to compute high-quality solutions (as observed when being compared with the optimal solutions attained by the mathematical programming models), but it is also capable of providing solutions in very short running times even for large instances for which the mathematical programming model failed to find feasible solutions. The computational effectiveness of the proposed approaches is measured by considering two sets of synthetic instances. In this paper, two mathematical programming models and two greedy-randomised based heuristics for finding (nearly) optimal storage and retrieval operation sequences for this type of storage system are proposed. Such scheme targets towards an efficient use of storage space, since its operation costs are directly related to the size and layout of the warehouse. One of the most common systems in non-automated warehouses is drive-in pallet racking with a shared storage policy (which is usually based on the duration-of-stay). Within the case application, an energy saving of 12.66% respect to the time model occurs with a time efficiency decrease of about 2.52%. Results highlight the possibility to balance the time cycle and the energy intensity. The different perspectives of adopting time and energy to drive the load assignment are stressed proposing a practical trade-off rule. An application, taken from the beverage industry, is, finally, discussed. The analytic models to compute the expected single-command cycle time and energy are integrated into a bi-objective model, optimising the load assignment. The model is based on the joint minimisation of the travel time and the energy required by the cranes to S/R the unit-loads.

rs optimal layout

This paper enhances the conventional approaches on storage assignment proposing a time and energy bi-objective model for single-deep rack automatic warehouses served by aisle captive automated storage/retrieval systems (AS/RSs). Storage assignment deals with the definition of effective strategies to organise items into industrial warehouses to achieve high performances. 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.











Rs optimal layout