Warehouse Operations Simulation - A Case Of Navico

Abstract

One of the primary limitations in the field of warehousing pertains to the efficient administration of warehouse capacity. The physical constraints of warehouses encompass various factors, including the warehouse layout, orientations, the quantity of dock entrances, the size of storage sites, and the width of the aisles, among other considerations. The seasonality of storage requirements may give rise to additional challenges. The optimization of warehouse workflow and capacity necessitates the identification of the levels of used capacity and the sequence of operations at which this occurs. The data can subsequently be utilized to formulate a strategy for order acceptance by the company, which can be implemented during both periods of low and high demand. The primary contribution of this thesis is the formulation of a series of actions by the Maynard Operation Sequence Technique (MOST) and the development of a Discrete Event Simulation (DES) model. These contributions serve as a valuable foundation for addressing the inquiries. The primary emphasis of this thesis centers around a case study that examines the operational aspects of the NAVICO warehouse in relation to a significant customer who exclusively deals with full pallet movements. The analysis of the model output was conducted, resulting in the formulation of strategies aimed at enhancing the performance of the NAVICO warehouse.