In this paper, we presented an optimal iterative decision rule for minimizing total cost in designing a sampling plan for machine replacement problem using the approach of dynamic programming and Bayesian inferences. Cost of replacing the machine and cost of defectives produced by machine has been considered in model. Concept of control threshold policy has been applied for decision making. If ...

The effect of lean production on conditions for learning is debated. This study aimed to investigate how tools inspired by lean production (standardization, resource reduction, visual monitoring, housekeeping, value flow analysis) were associated with an innovative learning climate and with collective dispersion of ideas in organizations, and whether decision latitude contributed to these assoc...

In many manufacturing environments, equipment condition has a significant impact on product quality, or yield. This paper presents a semi-Markov decision process model of a single-stage production system with multiple products and multiple maintenance actions. The model simultaneously determines maintenance and production schedules, accounting for the fact that equipment condition affects the y...

 Abstract: Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and make decisions upon this prediction. The main aim of the presented research is to achieve an improvement...

The paper claims that processes for monitoring, assessing and ensuring appropriate levels of accessibility and usability have to be adopted by web development and maintenance teams. Secondarily it argues that automatic tools for accessibility and usability are a necessary component of these processes. The paper presents first an analysis of web development and maintenance activities that highli...