Giraldo-González, Germán E.

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    Metodología para la reorganización perpetua de almacenes
    (2011) Giraldo-González, Germán E.; Carlo-Colón, Héctor J.; College of Engineering; Artiles‐León, Noel; Bartolomei-Suárez, Sonia; Department of Industrial Engineering; Vásquez, Pedro
    This thesis presents Rearrange-While-Working (RWW) a new methodology to continuously improve the process of reorganizing a dedicated unit-load warehouse while serving a set of orders. In other words, given the current and desired organization of a warehouse, the proposed methodology determines the how, where, and when to move the items in order to minimize the total material handling effort required to reorganize the warehouse while serving a set of orders. Throughout the thesis it is assumed that items are located in a rack served by an Automated Storage / Retrieval System (AS/RS). This study considers three cases (scenarios): (1) when there is only one empty location in the rack and the AS/RS is idle; (2) when there is only one empty location in the rack, but the AS/RS is serving a list of orders; (3) when there are multiple empty locations in the rack and the AS/RS is serving a list of orders. In the first case the material handling equipment can make any movement desired. On the other hand, it is assumed that in the second and third cases there is a list of items that need to be retrieved from the rack to the input / output location and then stored back in the rack. In these cases it is assumed that items can only be relocated within the rack when performing the storage operation. Therefore, the sequence in which items can be relocated is dictated by the list of orders being served. Several methods are proposed for solving each case. It is concluded that heuristics H3, H5 and H6 work well for the first case (Chapter 3) and the proposed Genetic Algorithm-based heuristic (GA) works well for the remaining cases (Chapters 4 and 5) in terms of solution quality and computational time.