DISCRETE EVENT SIMULATION FOR LOGISTICS AND SUPPLY CHAIN MANAGEMENT

Logistics and supply chain management are two examples of complex systems that benefit greatly from the modelling and analysis capabilities of discrete event simulation (DES). In order to overcome obstacles in logistics and supply chain management, this study proposes a solution based on the use of discrete event simulation. The strategy is laid out in great depth, with special emphasis placed on the need for an accurate representation of the supply chain system, validation of the simulation model, scenario development, analysis of simulation results, and performance optimisation based on key performance indicators. The strategy places an emphasis on iterative simulation, with a primary goal of ongoing improvement by means of regular model updates. Suppliers, production facilities, warehouses, transportation networks, inventories, information systems, and customers are all discussed in this study as well. It emphasises the interconnected nature of these parts and how well they may be modelled inside the simulation environment. Organisations may improve their supply chain operations, their decision-making processes, and their ability to drive continuous improvement with the help of the recommended strategy. Key performance measures including order fulfilment rates, inventory levels, transportation costs, and customer happiness can be evaluated in relation to alternative strategies, policies, and operational adjustments by modelling these changes. An overall framework for using discrete event simulation to deal with the complexities and unknowns of supply chain and logistics management is provided by the suggested method. It provides a methodical framework for modelling, analysing, and optimising supply chain operations, which in turn leads to improved efficiency, lower expenses, and a strategic edge in today's fast-paced market.