# White Shark Optimization for Solving Workshop Layout Optimization Problem

## TL;DR

This paper introduces the White Shark Optimizer algorithm to improve workshop layouts, reducing transportation costs and boosting production efficiency.

## Contribution

The novel contribution is applying the White Shark Optimizer algorithm to solve workshop layout optimization effectively.

## Key findings

- The WSO algorithm reduced transportation distance by 381 m compared to the original layout.
- WSO outperformed GA and SSA by reducing distances by 82 m and 56 m, respectively.
- Non-logistics relationships improved by 24.84% using the WSO algorithm.

## Abstract

The workshop is a crucial site for ensuring the smooth operation of production activities within an enterprise, playing a significant role in its long–term development. A well–designed workshop layout can reduce material–handling costs during production and enhance the overall efficiency of the enterprise. This paper establishes a mathematical model for the workshop layout problem, aiming to minimize logistics transportation costs and maximize non–logistics relationships. Using a real–world case study, the White Shark Optimizer (WSO) algorithm is applied to solve the model. The results show that the transportation distance of the layout scheme obtained by the WSO algorithm is reduced by 381 m, 82 m, and 56 m, respectively, compared with the original layout, the Genetic Algorithm (GA), and the Sparrow Search Algorithm (SSA), and the non–logical relationship is increased by 24.84% and 1.6%, respectively. The layout scheme obtained by using the WSO algorithm is more excellent and can effectively improve the production efficiency of enterprises.