Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification

Kai Leung Yung, To Sum George Ho, Yuk Ming Tang, Wai Hung Ip

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

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

Original languageEnglish
Pages (from-to)637-656
Number of pages20
JournalIndustrial Management and Data Systems
Volume121
Issue number3
DOIs
Publication statusPublished - 2 Mar 2021

Keywords

  • Aerospace
  • Fuzzy ABC classification
  • Information system
  • Inventory management
  • Replenishment
  • Soil preparation system

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial relations
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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