دسته بندی:
مدیریت دانش - knowledge management
سال انتشار:
2021
عنوان انگلیسی مقاله:
Ontology-augmented Prognostics and Health Management for shopfloor-synchronised joint maintenance and production management decisions
ترجمه فارسی عنوان مقاله:
پیش آگهی و مدیریت سلامت با هستی شناسی تقویت شده برای تصمیمات مدیریت تولید و نگهداری مشترک هماهنگ شده با کف مغازه
منبع:
ScienceDirect- Elsevier- Journal of Industrial Information Integration, Corrected proof, 100286: doi:10:1016/j:jii:2021:100286
نویسنده:
Adalberto Polenghi
چکیده انگلیسی:
In smart factories, guaranteeing shopfloor-synchronised and real-time decision-making is essential to be
responsive to the ever-changing internal environment, namely the shopfloor of the production system and assets.
At operational level, decisions should balance counter acting objectives of maintenance and production; there-
fore, their decision-making processes should be joint and coordinated, to fulfil production requirements
considering the health state of the assets. The knowledge of the current state is promoted by the application of
Prognostics and Health Management (PHM) as an aid to support informed decision-making. Nevertheless, PHM-
purposed information is usually not complete in terms of production requirements. To support joint maintenance
and production management decisions, an ontological approach is proposed. The ontology, called ORMA
(Ontology for Reliability-centred MAintenance), has a modular structure, including formalisation of asset, pro-
cess, and product knowledge. Via suitable relationships, rules, and axioms, ORMA can infer product feasibility
based on the current health state of the assets and their functional units. ORMA is implemented in a Flexible
Manufacturing Line at a laboratory scale. Therein, an integrated solution, involving a health state detection
algorithm that interacts with the ontology, supports human decision-making via a web-based dashboard; joint
maintenance and production management decisions can be then taken, relying on diversified information pro-
vided by the PHM algorithm as well as the augmentation via ontology reasoning. The proposed ontology-based
solution represents a step towards reconfigurability of smart factories where human and automated decision-
making processes work in synergy.
keywords: هستی شناسی | استدلال | پیشگویی و مدیریت بهداشت | phm | نگهداری | تولید | Ontology | Reasoning | Prognostics and health management | PHM | maintenance | production
قیمت: رایگان
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