Showing papers by "Viliam Makis published in 1996"
TL;DR: This paper derives a recursive formula to calculate the cutting-tool reliability in variable conditions if the failure-time distribution of thecutting-tool can be represented by the accelerated failure time model (AFTM).
Abstract: It is a common industrial practice to use the same cutting tool for different operations and on different part types to minimize cutting-tool change-overs and the number of cutting-tools required, and to increase part-routing flexibility. This paper derives a recursive formula to calculate the cutting-tool reliability in variable conditions if the failure-time distribution of the cutting-tool can be represented by the accelerated failure time model (AFTM). The formulae for the cutting-tool reliability when the processing time for each operation is random are also derived. The unknown parameters in the reliability function can be estimated from cutting-tool life-data obtained under either fixed conditions or variable conditions by using the method of maximum likelihood. Two examples based on real cutting-tool life-data demonstrate the computational results.
52 citations
TL;DR: In this paper, an analysis of a tool replacement problem with asymmetric quadratic loss function is presented and the expected average cost per unit time is derived and it is shown that the optimal initial setting and the optimal replacement time can be found by solving two nonlinear equations.
Abstract: In this paper, an analysis of a tool replacement problem with asymmetric quadratic loss function is presented. The expected average cost per unit time is derived and it is shown that the optimal initial setting and the optimal replacement time can be found by solving two nonlinear equations. The paper generalizes and improves on previous work in the area.
19 citations
TL;DR: In this article, an optimal maintenance (training) program based on this concept for a simple production system using the M/G/l vacation queue model is presented. But the authors focus on minimizing the average time spent by a job in the system.
Abstract: The concept of more maintenance effort (or training) implying higher system reliability (or efficiency) is well accepted. In this paper we study an optimal maintenance (training) program based on this concept for a simple production system using the M/G/l vacation queue model. We discuss how to determine the optimal maintenance (training) time to minimize the average time spent by a job in the system.
3 citations