Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility.

Hongtao Tang,Jiajiong Liang,Senli Ren,Weiguang Jiang,Qingfeng Chen,Mario Versaci

doi:10.1155/2021/3972772

Abstract

Facility layout is not only the premise of production, but also a breakthrough for manufacturing industry to realize energy saving, environmental protection, and low entropy development. On the one hand, considering the interaction between product process routes and facility layout, a joint optimization model is proposed. The model aims to minimize the total logistics cost and consider the global optimization of facility layout and process route planning. On the other hand, considering the application of low entropy concept in facility layout, the analytic network process (ANP) is used to evaluate the low entropy layout. In the choice of the final facility layout, the algorithm results and expert knowledge are considered comprehensively to make up for the shortcomings of the model in the design of qualitative indicators. The algorithm innovation of this paper is to use genetic algorithm (GA) and particle swarm optimization (PSO) to search the solution of product process routes and facility layout simultaneously, to ensure the overall optimal solution of the two decision variables. Finally, an example is given to compare the joint optimization results with the independent optimization results, and the effectiveness of the joint optimization method is verified.

Highlights

With the continuous upgrading of modern manufacturing industry, enterprises are faced with a series of problems such as high energy consumption and high fluctuation when meeting dynamic demands of customers
Evaluation of Low Entropy Facility Layout based on analytic network process (ANP) Method. e low entropy facility layout considers the amount of WIP and equipment
In the selection of evaluation methods, the analytic network process (ANP) is a decision-making method which is adapted to the independent hierarchy structure. e typical ANP decision structure can be divided into control layer and network layer [30]: (1) e control layer includes problem objective and decision criteria. e weight of each criterion can be obtained by using ANP method

Summary

Introduction

With the continuous upgrading of modern manufacturing industry, enterprises are faced with a series of problems such as high energy consumption and high fluctuation when meeting dynamic demands of customers. Erefore, facility layout is a breakthrough of manufacturing industry to achieve cost saving, efficient production, and low entropy development. According to the research conducted by Tompkins et al [2], about 20%–50% of operating costs are usually allocated to facility planning and material handling. E effective facility layout design can reduce 10%–20% of operating costs, but ineffective facility layout will increase the material handling costs by about 30% [3]. A low entropy facility layout is proposed, which is low-carbon, energy-saving, and high-anti-interference layout, without increasing the investment of enterprise equipment and resources. Xiao et al [6] designed a modified systematic layout planning (SLP) method based on the concept of low carbon, which greatly improved the comprehensive

Objectives

Results

Conclusion