层次分析法
网络分析法
选择(遗传算法)
因子(编程语言)
过程(计算)
等级制度
计算机科学
工业工程
生化工程
过程管理
管理科学
工程类
制造工程
运筹学
人工智能
经济
市场经济
程序设计语言
操作系统
作者
Parveen Sharma,Kashmir Singh Ghatorha,Amardeep Singh Kang,Lenka Čepová,Ajay Kumar,Rakesh Kumar Phanden
标识
DOI:10.3389/fmech.2024.1392543
摘要
The current study focuses on selecting the most suitable site location for a manufacturing industry using the Factor Rating Method (FRM). The study considers six key factors: Raw Materials Availability, Location, Availability of Labor, Transport, Availability of Utilities, and Environmental Impact. The FRM assign weights to each factor based on their relative importance. The results indicate that Raw Materials Availability holds the highest weight, suggesting its critical influence on site selection decisions. Subsequently, the Analytic Hierarchy Process (AHP) and Best Worst Method (BWM) are utilized to prioritize three available location alternatives through pairwise criteria comparisons. The analysis reveals that Location C emerges as the most favorable option, effectively meeting the manufacturing industry’s requirements. The successful application of these methods demonstrates their value in aiding decision-making processes related to site location selection. By considering multiple factors and utilizing structured methodologies, organizations can make informed choices aligned with their specific needs and goals. This research contributes to the existing body of knowledge by providing insights into effective site selection strategies for the manufacturing industry. Further research opportunities exist in incorporating additional factors, addressing real-world constraints, and conducting sensitivity analyses to enhance the accuracy and applicability of site location decision-making.
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