A generalized age-dependent minimal repair with random working times. (June 2021)

• Record Type: Journal Article
• Authors: Sheu, Shey-Huei; Liu, Tzu-Hsin; Zhang, Zhe-George; Zhao, Xufeng; Chien, Yu-Hung
• Is Part Of: Computers & industrial engineering. Volume 156(2021)
• Publication Date: 2021-06
• Subjects: Optimization -- Random working time -- Replacement first -- Replacement last; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2021.107248
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: Extend preventive replaceent models. Systems subject to multi-type failures. Analyze general age-dependent repair policy. Focus on the long-run cost rate. Find the optinal policy. Abstract: Two extended preventive replacement models for systems that execute projects at random times are discussed in this paper. The system is subject to shocks at which the system experiences one of two kinds of failures whose probabilities depend on age. A type I failure will cause a minor failure of the system and is fixed by a minimal repair. A type II failure will lead to a catastrophic failure of the system, and a corrective replacement is required at such failure. First, we investigate a preventive replacement policy where the system is replaced at the m-th type I failure, or at the time instant when the n-th working project is completed, or at age τ, or at the first type II failure, whichever occurs first. In addition, we also investigate another preventive replacement model where the system is replaced preventively at the time instant when the n-th working project is completed, or at the m-th type I failure, or at age τ, whichever occurs last, and is replaced correctively at the first type II failure. We formulate the long-run expected cost rate for each replacement policy, and determine analytically the optimum preventive replacement policy. We also show that several previous replacement models in the literature are special cases of our models. Finally, a procedure for finding the optimum preventive replacement schedule is presented and some numerical examples are given illustrating the present policies.