Facility location selection for the furniture industry of Bangladesh: Comparative AHP and FAHP analysis

Md Nazmul Hasan Suman, Nagib MD Sarfaraj, Fuad Ahmed Chyon, Md Rafiul Islsm Fahim
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引用次数: 8

Abstract

The furniture industry is growing to a great extent in Bangladesh. Many market researchers believe that the industry has enormous potentiality. However, the expansion of this industry may face complexities within a few years. Due to the wrong selection of facilities, many organizations failed to earn profit as expected. It also needs a large investment. Selecting a suitable place for a new facility is going to be the biggest question of upcoming years. This study aimed to analyze Bangladesh’s furniture industry, address the facility location problem, and provide a constructive solution to the decision-makers. In this study, seven criteria were considered: availability of raw materials, transportations, skilled labor, proximity to customers, energy availability, economic zone facility, and environmental impact, and five ideal locations or alternatives: Khulna, Chattogram, Bogura, Gazipur, and Manikganj. Thirty-four experts took part in the survey to analyze the significant criteria for selecting a furniture industry’s facility location and alternatives or potential locations for the facility. The Analytical Hierarchy Process (AHP) and Fuzzy AHP methods (FAHP), two MCDM techniques, were used to analyze the data set. A sensitivity analysis was done to determine the model’s robustness for any critical changes in the real world. The result showed that ‘energy availability is the most significant criterion to select a facility location for the furniture industry, where it got 35.1% criteria weight in AHP and 33.9% in FAHP. ‘Chattogram’ was selected as the most suitable place containing 33.74% normalized weight in AHP and 33.81% normalized weight in FAHP.
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孟加拉国家具业设施选址:AHP与FAHP比较分析
孟加拉国的家具业在很大程度上正在增长。许多市场研究人员认为,该行业具有巨大的潜力。然而,该行业的扩张在几年内可能会面临复杂的问题。由于设施的选择错误,许多组织未能获得预期的利润。它还需要大量的投资。为新设施选择一个合适的地点将是未来几年最大的问题。本研究旨在分析孟加拉的家具行业,解决设施选址问题,并为决策者提供建设性的解决方案。在这项研究中,考虑了七个标准:原材料的可用性、运输、熟练劳动力、与客户的接近性、能源的可用性、经济区设施和环境影响,以及五个理想的地点或替代地点:库尔纳、查图格拉姆、博古拉、加济普尔和曼尼甘吉。34位专家参与了这项调查,分析了选择家具行业设施位置和替代或潜在设施位置的重要标准。采用层次分析法(AHP)和模糊层次分析法(FAHP)这两种MCDM技术对数据集进行分析。进行敏感性分析以确定模型对现实世界中任何关键变化的稳健性。结果表明,能源可用性是家具行业选择设施位置的最重要标准,在AHP和FAHP中分别获得35.1%和33.9%的标准权重。AHP归一化权值为33.74%,FAHP归一化权值为33.81%,选择“Chattogram”作为最合适的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.50
自引率
6.10%
发文量
17
审稿时长
15 weeks
期刊介绍: The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering
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