This paper proposes an opportunistic maintenance policy for the multi-unit series production system. This proposed maintenance policy is on the basis of the failure rate analysis, which is more realistic than age-based or time-based opportunistic replacement models. When a system halts for performing preventive maintenance or opportunistic maintenance, the alternative decision of replacement an...

A queueing-inventory system with server’s vacations and impatient customers is investigated. Continuous review s , S policy considered for the system. The server leaves a vacation once inventory zero. customer arrived waits service pr...

We evaluate the performance of a numerical method for global optimization of expensive functions. The method is using a response surface to guide the search for the global optimum. This metamodel could be based on radial basis functions, kriging, or a combination of different models. We discuss how to set the cyclic parameters of the optimization method to get a balance between local and global...

The goal of this paper is to establish a general approach for analyzing queueing models with repeated inhomogeneous vacations. The server goes on for a vacation if the inactivity prolongs more than the vacation trigger duration. Once the system enters in vacation mode, it may continue for several consecutive vacations. At the end of a vacation, the server goes on another vacation, possibly with...

In this paper we study a multi-server queue with single Vacation (e,d)policy using DSW (Dong, Shah, Wong) algorithm. Vacation rate is fuzzy number. Approximate method of extension namely DSW algorithm is used to define membership functions of the performance measures. It is based on the αcut representation of fuzzy sets in a standard interval analysis. Numerical example is given to test the fea...

In the past several decades, maintenance and replacement problems have been extensively studied in the literature. Thousands of maintenance and replacement models have been created. However, all these models can fall into some categories of maintenance policies: age replacement policy, block replacement policy, periodic preventive maintenance policy, failure limit policy, sequential preventive ...

Manufacturing is a challenging real-world domain for studying hierarchical MDP-based optimization algorithms. We have recently obtained very promising results using a hierarchical reinforcement learning based optimization algorithm for a 12-machine transfer line. Transfer lines model factory processes in automobile and many other product assembly plants. Unlike domains such as elevator scheduli...

Decisions about location choice provide an opportunity to compare the predictions of optimization models, which require exhaustive search through very large choice sets, against the actual decision processes used by entrepreneurs choosing where to allocate investment capital. This paper presents new data on entrepreneurs’ self-described decision processes when choosing where to locate, based on...

We evaluate the performance of a numerical method for global optimization of expensive functions. The method is using a response surface to guide the search for the global optimum. This metamodel could be based on radial basis functions, kriging, or a combination of different models. We discuss how to set the cyclic parameters of the optimization method to get a balance between local and global...

Abstract—This study considers the M/M/1/N queue with working breakdowns and server vacations. We assume that the arrivals occur according to a Poisson process. The server is subject to breakdowns and repairs while in operation. At failure times, the server still works at a lower service rate rather than completely stopping service. When there are no customers in the system, the server takes mul...