Fuzzy risk assessment for electro-optical target tracker

• Published in: The International journal of quality & reliability management 2016-06, Vol.33 (6), p.830-851
• Main Authors: Roy, Soumen Kumar, Sarkar, A K, Mahanty, Biswajit
• Format: Article
• Language: English
• Subjects: Computer science; Construction; Design; Design analysis; Design engineering; Designers; Failure; Failure modes; Fuzzy; Fuzzy logic; Linear programming; Literature reviews; Management science & operations; Mechanical engineering; Methodology; Monte Carlo simulation; Optical industry; Optimization techniques; Quality control & reliability; Quality management/systems; R&D; Research & development; Risk; Risk assessment; Space exploration
• ISSN: 0265-671X; 1758-6682
• DOI: 10.1108/IJQRM-03-2015-0034

Purpose – The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited. Design/methodology/approach – Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations. Findings – It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system. Originality/value – This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.