Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification
نویسندگان
چکیده
Purpose This project attempts to present a space component inventory classification system for replenishment and management. The authors propose adopt that can incorporate all the different variables in multi-criteria configuration. Fuzzy logic is applied as an effective way formulating problems replenishment. Design/methodology/approach A fuzzy-based approach with ABC proposed of soil preparation (SOPSYS) which used grinding sifting Phobos rocks sub-millimeter size Phobos-Grunt mission. An information was developed using existing platform support key aspects performing purchasing optimization. Findings found be able classify optimize decision efficiency. Based on provided from system, implementation plans SOPSYS related projects proposed. Research limitations/implications paper addresses one main difficulties handling qualitative or quantitative criteria. model implemented mathematical calculation tools integrated into management system. has important implications optimizing decisions shorten research development other instruments missions. Originality/value Inventory manufacture major due complexity manufacturing process large variety items. decision-making process. It also designed flexible mission instruments.
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ژورنال
عنوان ژورنال: Industrial Management and Data Systems
سال: 2021
ISSN: ['1758-5783', '0263-5577']
DOI: https://doi.org/10.1108/imds-09-2020-0518