用区间2型模糊层次分析法对某铸造工艺进行评价与选择

Q3 Decision Sciences
Devesh Sahu, Atul Chakrawarti
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引用次数: 0

摘要

铸造工艺的选择是一种多准则的决策过程,涉及成本、材料利用和柔性、几何复杂性和柔性、尺寸精度和表面光洁度等多个因素。由于成本被认为是决策的主要标准之一,它被进一步细分为三个子标准,即工具成本,设备成本和劳动力成本。以往研究人员在铸造工艺的评价和选择中采用了层次分析法和1型模糊等多准则决策技术,成功地处理了系统的模糊性,但无法解决决策中的不确定性问题。因此,本文采用区间型-2模糊层次分析法,在砂型铸造、重力型铸造、壳型铸造、石膏型铸造、压力型铸造和熔模铸造中进行最佳铸造工艺的评价和选择,并能够处理与决策相关的不确定性。采用区间型-2模糊层次分析法进行数值求解,发现精熔铸造是凸轮载体的最佳铸造工艺,排名第一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and selection of a casting process using interval type-2 fuzzy analytical hierarchy process
Selection of a casting process is a kind of multi-criteria decision-making process, in which several factors like cost, material utilisation and flexibility, geometrical complexity and flexibility and dimensional accuracy and surface finish. As cost is considered one of the prime criteria in decision making, it is further sub-categorised into three sub-criteria, i.e., tooling cost, equipment cost, and labour cost. Past researchers have used multi-criteria decision-making technique like analytical hierarchy process along with type-1 fuzzy in the evaluation and selection of casting process, which is successful in handling the fuzziness of the system but are unable to address the issue of uncertainty associated with decision making. So, in this paper interval type-2 fuzzy analytical hierarchy process is used to evaluate and select best casting process among sand casting, gravity die casting, shell moulding, plaster mould casting, pressure die casting and investment casting, and capable of handling uncertainty associated with decision making. A numerical illustration is solved using the interval type-2 fuzzy analytical hierarchy process and it is found that investment casting is evaluated as best casting process for cam carrier and is ranked number one.
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来源期刊
International Journal of Information and Decision Sciences
International Journal of Information and Decision Sciences Business, Management and Accounting-Management of Technology and Innovation
CiteScore
1.90
自引率
0.00%
发文量
13
期刊介绍: In today''s fast-paced business environment, even with an abundance of information, decision-making can be complex and slow. As floods of data emerge, effective information processing is sought as a panacea. With the ever-present spectre of uncertainty, sound decisions are key. As a consequence of the various conflicts/dilemmas, employment of efficient data management leading to better decision-making is the goal. Organisations must employ effective information management/decision-making processes at each critical stage of their functions. IJIDS addresses the issues involved in this. Topics covered include: -AHP or DEA -Behavioural sciences, psychology, sociology -Business intelligence, economics -Computing and decision sciences, data-driven decision making -Decision making in social setting, under uncertainty, with multimedia -Decision support systems/software -Decision theory, decision trees, MCDM -Ethical decision making, group decision making, software -Fuzzy information processing, game theory, grid analysis, informatics, IT -Intelligent agent technologies, neural networks, OLAP -Knowledge discovery in databases, web search, scenario/system analysis -Mathematics of decision sciences, decision making methods/styles -Perspectives of decision making, robust decisions, morphological analysis -Political/public decision making -Risk management, statistics
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