In the past decade, sensor and surveillance technology have been widely used in condition monitoring. The hidden states of systems can be inferred from collected data. However, maintenance decision problem becomes more challenging when ordering spare parts must considered jointly. this article, we consider a multistate deteriorating system whose are but partially observable, determine optimal inventory policy. We use observable Markov process to model interest adopt state-of-the-art...

Production, yield and maintenance are three key components for sustaining the competitiveness of a manufacturing firm. In this paper, we investigate joint production planning problem in periodic review environment subject to stochastic demand random yields. The system deteriorates from period according discrete-time Markov chain. objective is find an integrated lot sizing policy such that aggregate cost associated with production, holding, backlogging minimised. We formulate as decision...

For some engineering design and manufacturing applications, particularly for evolving new technologies, populations of manufactured components can be heterogeneous consist several subpopulations. The co-existence n subpopulations is common in devices when the process still maturing or highly variable. A model developed demonstrated to simultaneously determine burn-in age-based preventive replacement policies composed distinct subject stochastic degradation. Unlike traditional procedures that...

Condition-based maintenance (CBM) is an effective strategy to improve system performance while lowering operating and costs. Real-world systems typically consist of a large number components with various interactions between components. However, existing studies on CBM focus single-component systems. Multi-component condition-based maintenance, which joins the components' stochastic degradation processes combinatorial grouping problem, remains open issue in literature. In this paper, we...

AbstractFor some engineering design and manufacturing applications, particularly for evolving new technologies, populations of manufactured components can be heterogeneous consist several subpopulations. The co-existence n subpopulations common in devices when the process is still maturing or highly variable. A model developed demonstrated to determine accelerated burn-in condition-based maintenance policies composed distinct subject stochastic degradation. Accelerated procedures with...

We consider the problem of optimally maintaining a periodically inspected system with multi-level preventive maintenance whose effects are complex. At each inspection, decision concerns whether action is needed and which level should be selected if desired. The objective to minimize total expected discounted cost including inspection costs. formulate an infinite-horizon Markov process model establish sufficient conditions ensure existence optimal monotone control-limit type policy respect...

Preventive maintenance has received considerable attention in industries and the literature. Conventional preventive models often assume that equipment is always available for activities. However, many mission-critical industries, may not be scheduled due to busy operational schedules. Forced shutdown of incur extra costs cannot offset by benefits from preventively maintaining equipment. In this paper, we propose innovative policies address challenges caused unavailability. Maintenance with...

Abstract With recent advancements in Internet technologies and wireless communications, sensor network (WSN)‐based smart systems are gaining an enormous increase use various applications (eg, healthcare, home, manufacturing, power grids, transportation). Due to the mission‐critical or safety‐critical nature of system applications, it is imperative that a be reliable during its mission time. However, reliability analysis design still open challenging research problems due complicated...

Maintenance optimization has been extensively studied in the past decades. However, most of existing maintenance models focus on single-component systems and are not applicable to complex consisting multiple components, due various interactions among components. The multicomponent problem, which joins stochastic processes regarding failures components with combinatorial problems grouping activities, is challenging both modeling solution techniques, remained an open issue literature. In this...

In this paper, we discuss the design and use of an objectoriented framework for simulating multi-echelon inventory systems. We present a context how can be used through its application on two examples. addition, describe by examining major conceptual artifacts within object-oriented model. The is built Java Simulation Library (JSL) permits easy modeling execution simulation models. results discussion indicate flexibility power with framework. summarize our future research efforts to model...

Performance-based service contracting is envisioned to reduce the assets ownership cost while ensuring system performance. Operational availability considered as key performance measure assess reliability outcome. This paper presents a unified modeling approach that comprehends eight drivers underpinning operational availability. These include inherent reliability, usage rate, maintenance, spare parts, fleet size, repair-by-replacement time, and parts repair reconditioning turn-around times....