Proceedings ArticleDOI
An AI based decision support system for preventive maintenance and production optimization in energy intensive manufacturing plants
TLDR
A Decision Support System enabling the early identification of problems occurring on manufacturing lines thus suggesting related recovery actions, together with the potential repercussions of their adoption, at economic and environmental level is described.Abstract:
Besides pursuing the economic goals of low costs and high profits, companies are becoming more and more aware of the environmental and social impact of their actions. Companies striving for the integrated optimization of environmental and economic perspectives within their production processes, need to be supported by tools helping to understand the effects of the decision making process. In this context, this paper describes a Decision Support System (DSS) enabling the early identification of problems occurring on manufacturing lines thus suggesting related recovery actions, together with the potential repercussions of their adoption, at economic and environmental level. The decision making process beneath the DSS starts from the aggregation of production lines sensors data in Key Performance Indicators (KPI). The data are then processed by means of an Artificial Neural Networks (ANN) based knowledge system which enables to suggest preventive maintenance interventions. The proposed maintenance activities, elaborated throughout a scheduling engine, are integrated within the weekly production schedule, according to the selected optimization policy. Preliminary tests have been carried out in manufacturing plants of IKEA industries and Brembo.read more
Citations
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Journal ArticleDOI
Towards data mining based decision support in manufacturing maintenance
TL;DR: The current work presents a decision support system architecture for evaluating the features representing the health status to predict maintenance actions and remaning useful life of component.
Understanding Decision Support Systems And Expert Systems
TL;DR: This book helps people to understand decision support systems and expert systems better, so they can cope with some malicious virus inside their computer instead of enjoying a good book with a cup of tea in the afternoon.
Adaptive Decision Support for Shop-floor Operators using Function Blocks
TL;DR: In manual and semi-automation production systems, flexibility and adaptability are affected by shop-floor operators' skills, abilities and knowledge as mentioned in this paper, which highlight the vital impor...
Journal ArticleDOI
Predictive maintenance information systems : The underlying conditions and technological aspects
TL;DR: Predictive maintenance has the potential to improve the reliability of production and service provisioning, but there is little knowledge about the proper implementation of predictive maintenance, according to industry experts.
Book ChapterDOI
An ANN based decision support system fostering production plan optimization through preventive maintenance management.
TL;DR: The Artificial Intelligence developed for a Decision Support System (DSS) which enables the early identification of problems occurring on manufacturing and which enables to suggest preventive maintenance interventions.
References
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Journal ArticleDOI
Reducing the cost of preventive maintenance (PM) through adopting a proactive reliability-focused culture
TL;DR: The economic and political realities of the 1990s forced managers to reverse long-standing organizational cultures in order to reduce costs and energy expenditures in their organisations as discussed by the authors, and these can be achieved, with respect to maintenance, by replacing a reactive repair-focused attitude by a proactive reliability-focused culture.