Modelling and Simulation of Facility Planning Problem Based on Improved SLP Method

Abstract

Facility planning plays a critical role in various fields. An excellent facility layout can minimize the losses caused by the connection between facility units in production operations. In this paper, we improved the traditional Systematic Layout Planning (SLP) method, combine it with the multi-objective decision optimization model. The Improved SLP (ISLP) method is described in detail in this paper, including its principles, process of building model, and calculation methods. To make the ISLP more suitable for research and practical problems, we established a mathematical model for it. This optimization model was also applied to the existing facility layout problem to realistically validate the effectiveness of the ISLP and the model. Results on the established model were found first, then the Flexsim simulation software was used to simulate the layout of the facility before and after the improvement. Finally, the results of the experiment were analysed and compared.

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

“…Older studies, such as those by Xing et al [34], Zhang and Wang [36], and Ma et al [21], explored different AGV scheduling and routing optimization methods including systematic layout planning (SLP), and shuffled frog leaping algorithm with a mutant process (SFLAMUT). Although these methods are innovative in their specific contexts, none addresses the simultaneous optimization of package assignment with AGV routing, which is critical in environments where the coordination of multiple logistics operations can significantly impact overall system efficiency.…”