ABSTRACT Maintenance is a combination of multilateral and cross-functional activities and process... more ABSTRACT Maintenance is a combination of multilateral and cross-functional activities and processes. Maintenance processes are identified in both strategic management and operation systems. Managers, engineers, technicians and operators collaboratively contribute in conducting and performing preventive or corrective maintenance activities. Maintenance management is to provide the long-term business strategy that ensures capacity of the production, quality of the product, and the best life cycle cost. It is a decision-making activity which has been highly correlated with expertise of maintenance staff and their own practical experience. Maintenance management intends not only to keep the desired performance of machinery, but to continuously improve quality and cost effectiveness of the pertained processes. Maintenance cost management (MCM), consisting of cost planning, monitoring and controlling, thereby is an essential part of the sustainable and efficient maintenance management system. MCM is determined as a knowledge-centered and experience-driven process where exploiting existing knowledge and generating new knowledge strongly influences every instance of cost planning. Taking into account the dynamics of knowledge assets, an interdisciplinary research raises practical implications in the domain of maintenance. The key aspect of the present work is learning from past experiences for continuous improvement of the maintenance cost planning and controlling. Learning in MCM is an evolutionary and iterative process through which a chief maintenance officer (CMO) compounds and deepens his/her knowledge. CMO analyzes former experiences gained in the past maintenance planning periods, identifies facts or artifacts (i.e. evidence for improving the planning process), and finally enhances planning of the upcoming events by applying the lessons learned. This work principally constitutes a model, Costprove, for meta-analysis of maintenance knowledge assets. The knowledge assets are articulated, represented, and stored in repositories (i.e. explicit knowledge), or remain with (a group of) individuals and need to be extracted, documented, and validated (i.e. implicit knowledge). Meta-analysis is a set of methods for discovering the strength of the relation between certain predefined entities. It provides evidence for decision-makers (e.g. CMO) to discover hidden improvement potentials in cost planning, and incrementally attain desired company objectives. The main focus of this work is to establish a mathematical meta-analysis for (i) identifying the relation between cost figures (planned, unplanned and total cost), and operation parameter (number of maintenance activities), and (ii) trading-off between planned and unplanned cost. Hence, the model deploys an economic approach for identifying desired cost figures in every planning period, and ultimately defining operation-related parameters. Anticipating the trend of the fourth industrial revolution, the foremost result of this thesis is the development of an integrated and practice-oriented knowledge-based approach to maintenance cost planning and controlling.
ABSTRACT This paper discusses design, development and prototyping of a drive designer assistance ... more ABSTRACT This paper discusses design, development and prototyping of a drive designer assistance tool: MainDriveASSIST. The prototype consists of features that enable drive engineer in selection of drive system components based on meta-analysis of vendors' offers as well as customer's requirements. Meta-analysis is performed through by using benchmarking dashboard comprises technical and non-technical indicators for selection of drive system components. The benchmarking dashboard broadens and deepens drive engineer's knowledge for optimal selection of drive components and improves decision-making activities. Technical indicators are mainly acquired from dimensioning of the drive system (drive system specifications) as well as the basic requirements e.g. for power consumption and operational availability (maintenance related factors). Non-technical indicators are mainly to consider business administration activities especially through indication of investment and preventive/corrective maintenance costs of drive systems which are directly affect customer's/company's business process. The prototype of MainDriveASSIST is designed and developed within an industrial oriented project at the institute of Knowledge Based Systems and Knowledge Management.
Integrated Systems: Innovations and Applications, 2015
ABSTRACT Emerging technologies such as Big Data and Cloud Computing in the field of information t... more ABSTRACT Emerging technologies such as Big Data and Cloud Computing in the field of information technology imposes further needs (requests) for professional competences in organizations and IT companies. The ultimate goal is to comply with industrial changes characterizedby adaptive solutions for fostering human-machine interactions. Here competence and job knowledge play a great role in organizations. This paper discusses the concept ofan adaptive competence profiling platform in the context of EU funded project ComProFITS. The main goal is (i) reinforcing competence analytics, and (ii) improving the quality of personnel selection and job performance in the IT sector. This project reflects the results of the research and development activities based on needs analysis with a Spanish IT company.
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
ABSTRACT Managers of enterprises concern with a major challenge for optimal management of human r... more ABSTRACT Managers of enterprises concern with a major challenge for optimal management of human resources based on availability of domain experts and highly qualified personnel. The process of allocating right people to the right positions in a right time is a key to success. To achieve this goal, managers need to deploy evaluation tools integrated with the gap analysis method. This paper presents the concept and implementation details of an in-house developed software tool for competence evaluation of domain specific competencies and selection of professionals. A generic mathematical representation of competences in this project makes the software tool applied in a wide variety of organizations. A standard competence model has been first defined in this project with 5 main competence categories and related sub-categories including over 70 competence questionnaires in different managerial and employee levels. Test and evaluation of the software have been carried out by initializing the lab data of over 50 candidates with student groups involved in the project at the institute of Knowledge Based Systems and Knowledge Management, University of Siegen. The paper reflects the conception and the outcomes of the implementation of the software tool. The ultimate objective of this interdisciplinary project is to fill the gap in the selection process by means of an efficient and practical competency evaluation tool. The generic software tool is aimed to be used as a component in research and industrial projects of the institute.
2009 IEEE Conference on Emerging Technologies & Factory Automation, 2009
... Fazel Ansari Ch., Christian Sassenberg, Madjid Fathi University of Siegen, Germany {ansari@km... more ... Fazel Ansari Ch., Christian Sassenberg, Madjid Fathi University of Siegen, Germany {ansari@kmis, sassenberg@kmcm, fathi@informatik}. uni-siegen.de ... 15, No. 1, pp. 91-101, 2002. [15] JA Harding, M. Shahbaz, S. Srinivas, A. Kusiak, “Data Mining in Manufacturing: A Review ...
International Journal of Services, Economics and Management, 2014
ABSTRACT Maintenance management activities include identifying, creating and storing knowledge as... more ABSTRACT Maintenance management activities include identifying, creating and storing knowledge assets. The knowledge assets are either documented/codified or undocumented/non-codified. In order to utilise the accumulated knowledge assets in the operational, tactical and strategic layers, documented knowledge should be meta-analysed. Meta-analysis is to discover the strength of the relationship between certain variables by means of automatic or semi-automatic algorithms. Meta-analysis has three methods: (1) statistical; (2) mathematical; and (3) textual. In this paper, the textual meta-analysis of maintenance management's knowledge assets is examined. In particular, the objective is to develop a virtual application for finding the relationship between three classes of text entities such as machines, practitioners and maintenance operations by means of technical implementation of the concept for the imitation of the mental ability of word association (CIMAWA). In addition, the virtual application is designed to be integrated as an add-on in the framework of computerised maintenance management information system (CMMIS).
ABSTRACT A new method for detecting multitopic structures in text documents, called Associative G... more ABSTRACT A new method for detecting multitopic structures in text documents, called Associative Gravity, is based on a text-mining method entitled CIMAWA, which imitates the human ability of word association. Specifically, Associative Gravity utilizes word association to detect different topics in a text. The authors named it Associative Gravity because of its resemblance to the physical law of gravitation, that is, mass and attraction. The mass corresponds to the importance of words in a text and the attraction to the asymmetrical associative word space. The innovative characteristic of the described topic detection method is supplied with asymmetrical associative word space provided by CIMAWA. A comparative case study proves the capability of Associative Gravity to separate different topics at very high accuracy.
the 2013 IEEE International Conference on Electro/Information Technology (IEEE EIT), ISBN: 978-1-4673-5207-9, May 9, 2013
Change Management (CM) is the major challenge of the strategic management particularly due to dyn... more Change Management (CM) is the major challenge of the strategic management particularly due to dynamics of knowledge assets (i.e. Temporal knowledge transformation) and also inadequate or insufficient use of knowledge, competencies and human creativities. In this context, CM needs to utilize Knowledge Management (KM) to guarantee successful implementation of the change and also to sustain long-term organizational advantages (e.g. Time to market and Return on Investment). Such co-operation needs to comprehensively consider internal factors to organizational success as well as external (e.g. Customers). Moreover measuring and evaluating the co-operation foreground the essence of integrating feedback loop into the framework to empower CM and assure the success of KM activities. In this paper, a formerly developed model, IQMP, is customized and adapted to support CM. The IQMP provides a comprehensive framework to deploy Performance Quality Indicators (PQIs) and a knowledge based analysis of feedback. Finally the paper discusses conception and potential application of the inherited model, Dynamic Knowledge Assets Management (DKAM).
ABSTRACT Maintenance is a combination of multilateral and cross-functional activities and process... more ABSTRACT Maintenance is a combination of multilateral and cross-functional activities and processes. Maintenance processes are identified in both strategic management and operation systems. Managers, engineers, technicians and operators collaboratively contribute in conducting and performing preventive or corrective maintenance activities. Maintenance management is to provide the long-term business strategy that ensures capacity of the production, quality of the product, and the best life cycle cost. It is a decision-making activity which has been highly correlated with expertise of maintenance staff and their own practical experience. Maintenance management intends not only to keep the desired performance of machinery, but to continuously improve quality and cost effectiveness of the pertained processes. Maintenance cost management (MCM), consisting of cost planning, monitoring and controlling, thereby is an essential part of the sustainable and efficient maintenance management system. MCM is determined as a knowledge-centered and experience-driven process where exploiting existing knowledge and generating new knowledge strongly influences every instance of cost planning. Taking into account the dynamics of knowledge assets, an interdisciplinary research raises practical implications in the domain of maintenance. The key aspect of the present work is learning from past experiences for continuous improvement of the maintenance cost planning and controlling. Learning in MCM is an evolutionary and iterative process through which a chief maintenance officer (CMO) compounds and deepens his/her knowledge. CMO analyzes former experiences gained in the past maintenance planning periods, identifies facts or artifacts (i.e. evidence for improving the planning process), and finally enhances planning of the upcoming events by applying the lessons learned. This work principally constitutes a model, Costprove, for meta-analysis of maintenance knowledge assets. The knowledge assets are articulated, represented, and stored in repositories (i.e. explicit knowledge), or remain with (a group of) individuals and need to be extracted, documented, and validated (i.e. implicit knowledge). Meta-analysis is a set of methods for discovering the strength of the relation between certain predefined entities. It provides evidence for decision-makers (e.g. CMO) to discover hidden improvement potentials in cost planning, and incrementally attain desired company objectives. The main focus of this work is to establish a mathematical meta-analysis for (i) identifying the relation between cost figures (planned, unplanned and total cost), and operation parameter (number of maintenance activities), and (ii) trading-off between planned and unplanned cost. Hence, the model deploys an economic approach for identifying desired cost figures in every planning period, and ultimately defining operation-related parameters. Anticipating the trend of the fourth industrial revolution, the foremost result of this thesis is the development of an integrated and practice-oriented knowledge-based approach to maintenance cost planning and controlling.
ABSTRACT This paper discusses design, development and prototyping of a drive designer assistance ... more ABSTRACT This paper discusses design, development and prototyping of a drive designer assistance tool: MainDriveASSIST. The prototype consists of features that enable drive engineer in selection of drive system components based on meta-analysis of vendors' offers as well as customer's requirements. Meta-analysis is performed through by using benchmarking dashboard comprises technical and non-technical indicators for selection of drive system components. The benchmarking dashboard broadens and deepens drive engineer's knowledge for optimal selection of drive components and improves decision-making activities. Technical indicators are mainly acquired from dimensioning of the drive system (drive system specifications) as well as the basic requirements e.g. for power consumption and operational availability (maintenance related factors). Non-technical indicators are mainly to consider business administration activities especially through indication of investment and preventive/corrective maintenance costs of drive systems which are directly affect customer's/company's business process. The prototype of MainDriveASSIST is designed and developed within an industrial oriented project at the institute of Knowledge Based Systems and Knowledge Management.
Integrated Systems: Innovations and Applications, 2015
ABSTRACT Emerging technologies such as Big Data and Cloud Computing in the field of information t... more ABSTRACT Emerging technologies such as Big Data and Cloud Computing in the field of information technology imposes further needs (requests) for professional competences in organizations and IT companies. The ultimate goal is to comply with industrial changes characterizedby adaptive solutions for fostering human-machine interactions. Here competence and job knowledge play a great role in organizations. This paper discusses the concept ofan adaptive competence profiling platform in the context of EU funded project ComProFITS. The main goal is (i) reinforcing competence analytics, and (ii) improving the quality of personnel selection and job performance in the IT sector. This project reflects the results of the research and development activities based on needs analysis with a Spanish IT company.
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
ABSTRACT Managers of enterprises concern with a major challenge for optimal management of human r... more ABSTRACT Managers of enterprises concern with a major challenge for optimal management of human resources based on availability of domain experts and highly qualified personnel. The process of allocating right people to the right positions in a right time is a key to success. To achieve this goal, managers need to deploy evaluation tools integrated with the gap analysis method. This paper presents the concept and implementation details of an in-house developed software tool for competence evaluation of domain specific competencies and selection of professionals. A generic mathematical representation of competences in this project makes the software tool applied in a wide variety of organizations. A standard competence model has been first defined in this project with 5 main competence categories and related sub-categories including over 70 competence questionnaires in different managerial and employee levels. Test and evaluation of the software have been carried out by initializing the lab data of over 50 candidates with student groups involved in the project at the institute of Knowledge Based Systems and Knowledge Management, University of Siegen. The paper reflects the conception and the outcomes of the implementation of the software tool. The ultimate objective of this interdisciplinary project is to fill the gap in the selection process by means of an efficient and practical competency evaluation tool. The generic software tool is aimed to be used as a component in research and industrial projects of the institute.
2009 IEEE Conference on Emerging Technologies & Factory Automation, 2009
... Fazel Ansari Ch., Christian Sassenberg, Madjid Fathi University of Siegen, Germany {ansari@km... more ... Fazel Ansari Ch., Christian Sassenberg, Madjid Fathi University of Siegen, Germany {ansari@kmis, sassenberg@kmcm, fathi@informatik}. uni-siegen.de ... 15, No. 1, pp. 91-101, 2002. [15] JA Harding, M. Shahbaz, S. Srinivas, A. Kusiak, “Data Mining in Manufacturing: A Review ...
International Journal of Services, Economics and Management, 2014
ABSTRACT Maintenance management activities include identifying, creating and storing knowledge as... more ABSTRACT Maintenance management activities include identifying, creating and storing knowledge assets. The knowledge assets are either documented/codified or undocumented/non-codified. In order to utilise the accumulated knowledge assets in the operational, tactical and strategic layers, documented knowledge should be meta-analysed. Meta-analysis is to discover the strength of the relationship between certain variables by means of automatic or semi-automatic algorithms. Meta-analysis has three methods: (1) statistical; (2) mathematical; and (3) textual. In this paper, the textual meta-analysis of maintenance management's knowledge assets is examined. In particular, the objective is to develop a virtual application for finding the relationship between three classes of text entities such as machines, practitioners and maintenance operations by means of technical implementation of the concept for the imitation of the mental ability of word association (CIMAWA). In addition, the virtual application is designed to be integrated as an add-on in the framework of computerised maintenance management information system (CMMIS).
ABSTRACT A new method for detecting multitopic structures in text documents, called Associative G... more ABSTRACT A new method for detecting multitopic structures in text documents, called Associative Gravity, is based on a text-mining method entitled CIMAWA, which imitates the human ability of word association. Specifically, Associative Gravity utilizes word association to detect different topics in a text. The authors named it Associative Gravity because of its resemblance to the physical law of gravitation, that is, mass and attraction. The mass corresponds to the importance of words in a text and the attraction to the asymmetrical associative word space. The innovative characteristic of the described topic detection method is supplied with asymmetrical associative word space provided by CIMAWA. A comparative case study proves the capability of Associative Gravity to separate different topics at very high accuracy.
the 2013 IEEE International Conference on Electro/Information Technology (IEEE EIT), ISBN: 978-1-4673-5207-9, May 9, 2013
Change Management (CM) is the major challenge of the strategic management particularly due to dyn... more Change Management (CM) is the major challenge of the strategic management particularly due to dynamics of knowledge assets (i.e. Temporal knowledge transformation) and also inadequate or insufficient use of knowledge, competencies and human creativities. In this context, CM needs to utilize Knowledge Management (KM) to guarantee successful implementation of the change and also to sustain long-term organizational advantages (e.g. Time to market and Return on Investment). Such co-operation needs to comprehensively consider internal factors to organizational success as well as external (e.g. Customers). Moreover measuring and evaluating the co-operation foreground the essence of integrating feedback loop into the framework to empower CM and assure the success of KM activities. In this paper, a formerly developed model, IQMP, is customized and adapted to support CM. The IQMP provides a comprehensive framework to deploy Performance Quality Indicators (PQIs) and a knowledge based analysis of feedback. Finally the paper discusses conception and potential application of the inherited model, Dynamic Knowledge Assets Management (DKAM).
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