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Three repair strategies
Author(s) -
RochaMartínez José M.
Publication year - 2001
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.449
Subject(s) - imperfect , probabilistic logic , computer science , quality (philosophy) , exponential function , moment (physics) , brand names , property (philosophy) , order (exchange) , value (mathematics) , brand equity , geometric distribution , mathematics , probability distribution , statistics , marketing , economics , artificial intelligence , business , machine learning , mathematical analysis , philosophy , linguistics , physics , epistemology , classical mechanics , finance
Abstract Three imperfect repair strategies, derived from a discrete‐time model of failure and repair, are implemented on items brand A (car, computer, washer, etc.), which are low quality with respect to equivalent items brand B (the leading brand in the market) in the sense that items brand A usually fail faster than items brand B do, in order to increase their lifetimes so that they have a chance to compete in durability against items brand B. The implementation of those strategies is performed by probabilistic simulations of the model. The effectiveness of these strategies is measured by comparing the expected ‘output’ lifetimes of items brand A under each strategy with respect to the expected lifetime of items brand B and the mean value of the total number of repair actions required on items brand A under one strategy with respect to the other two. The algorithm for designing a computer program for simulating those strategies is included. Some results concerning a relationship between a generalized memoryless property of geometric (exponential) distributions and the convolution property of probability (moment) generating functions are detected and also included. Copyright © 2001 John Wiley & Sons, Ltd.