This paper presents a concept for a next generation Decision Support System (DSS) for maintenenance management. Such a system will integrate information from other systems dedicated to process control, condition monitoring, diagnosis, maintenance planning, and production planning. The main challenge is to support a maintenance planner in the composition of task schedules, where the focus is on ...

Pharmaceutical industries are continuously seeking out new strategies to improve their operations and gain a competitive advantage. Maintenance tends to be a key management issue for many pharmaceutical companies. Proper maintenance management requires information about maintenance performance for the planning and controlling of maintenance processes. However, it is generally difficult to recon...

The use of mind maps as a method of building knowledge, planning, organizing activities and ideas can be seen in the literature related to ergonomics. The results of such use are relevant and its use in academic area found. However, regarding to its use in industrial environments, studies can't not be found. With this scenario, and based on the perception of the ergonomist about the importance ...

patients and methods the current quasi-experimental study was conducted on 96 eligible females, who were allocated either to the case or the control group and were selected from homes in the border of zahedan city (southeast of iran) during 2010. convenience sampling by door-to-door visits was used for finding eligible cases. a ttm-based self-administrated family planning questionnaire was used...

Maintenance of water distribution systems is becoming a critical infrastructure problem. Good maintenance practices are necessary to extend the life of water distribution system components and an optimal maintenance effort can further prolong their useful life. The decision making problem of determining the best maintenance strategy which would minimize the total discounted maintenance cost ove...

While work on AI planning systems dates back to the early 70’s, applications of AI planning systems are few and far between. This paper describes several major obstacles to the fielding of planning systems related to: plan representation and usage, operational contexts of planning systems, and knowledge acquisition and maintenance for planning knowledge. We use examples drawn from our experienc...

Most maintenance-optimisation models assume an in nite planning horizon and suppose that the failure process is stationary. Hence, information which is not known beforehand and which becomes available on the short term only, must be ignored. We consider in this paper a multi-component system with economically dependent components, and we compare the costs of a stationary-planning method with th...

In this paper we present an integration of optirnisation, priority setting, planning and combining of maintenance activities. We use a framework which covers several optimisation models, like the block replacement, a minimal repair and an efficiency model, and develop a uniform analysis for all these models. From this analysis penalty functions are derived which can act as priority criterion fu...