A Methodology for the Development of Manufacturing and Monitoring Indexes: Oil Lubrication System Case Study
Gopalakrishnan, Balaji (2017)
2017
Automation Engineering
Teknisten tieteiden tiedekunta - Faculty of Engineering Sciences
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Hyväksymispäivämäärä
2017-09-06
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201708241757
https://urn.fi/URN:NBN:fi:tty-201708241757
Tiivistelmä
The arrival of computers into manufacturing brought a huge revolution in all parts of the manufacturing industries, from the shop-floor level to the enterprise level. Initially it all started at the shop-floor level with the need for highly accurate and flexible systems and then later it moved to the management level. Once the systems in these two levels have been organized, there came MES and monitoring system to increase efficiency and streamline the manufacturing process. Now there are various researches being made to organize these systems, standardize it and develop a suitable software system, which can not only be configurable, but also be flexible and be adapted to any type of manufacturing industry.
This thesis deals with one such methodology, which helps in obtaining indexes (KPI) and functionalities with respect to monitoring and manufacturing, via a knowledge driven framework developed based on the methodology. The methodology revolves around the concept that a framework driven by knowledge, which when implemented with Open Knowledge-Driven Manufacturing Execution System (OKD-MES) concept, will be suitable for obtaining both manufacturing and monitoring system functionalities. Ontology plays a crucial part in the methodology, as it holds the knowledge about functions to be used and the configurations to be made as part of providing the functionalities to the functions. These initial configurations and the functionalities in ontology will be provided by the user and can be later modified by the user as per the manufacturing requirements. Hence system developed with this methodology will have knowledge driven functions that are configurable and extendable to the maximum extent. The methodology is verified with implementation in two use cases: one is an Oil Lubrication System, in which the monitoring functionality of the framework is tested; and the second is a discrete manufacturing industry which manufactures Oil Lubrication System, where the MES functionality is tested.
This thesis deals with one such methodology, which helps in obtaining indexes (KPI) and functionalities with respect to monitoring and manufacturing, via a knowledge driven framework developed based on the methodology. The methodology revolves around the concept that a framework driven by knowledge, which when implemented with Open Knowledge-Driven Manufacturing Execution System (OKD-MES) concept, will be suitable for obtaining both manufacturing and monitoring system functionalities. Ontology plays a crucial part in the methodology, as it holds the knowledge about functions to be used and the configurations to be made as part of providing the functionalities to the functions. These initial configurations and the functionalities in ontology will be provided by the user and can be later modified by the user as per the manufacturing requirements. Hence system developed with this methodology will have knowledge driven functions that are configurable and extendable to the maximum extent. The methodology is verified with implementation in two use cases: one is an Oil Lubrication System, in which the monitoring functionality of the framework is tested; and the second is a discrete manufacturing industry which manufactures Oil Lubrication System, where the MES functionality is tested.