696,047 research outputs found

    Knowledge Engineering in Agent Oriented Business Process Management

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    The challenge of dynamic environment requires managing business processes with the ability to adapt to changes and to collaborate in activities. As a promising technology to process management, agent technology with its flexible, distributed and intelligent features has been studied in numerous studies. However, most existing approaches are special and ad-hoc. They have not looked much into the nature and characteristic of agents and their rational behaviours in process management. This paper intends to investigate the mechanism how to build intelligent agents in dynamic process management from the view of knowledge engineering. An agent-oriented approach to dynamic process management with its knowledge engineering is discussed, and a three-layer knowledge model of intelligent agents is proposed. By exploiting the knowledge involved in dynamic process management and transforming it into a computational model, this work provides an essential support of developing agent-oriented approaches to business process management

    A Process for Engineer Domain Ontology: An Experience in Developing Business Analysis Ontology

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    During the last years several works have been aimed to improve ontology technological as-pects, like representation language and inference mechanisms. This paper presents a discussion on the process and product of an experience in developing ontology for the public sector whose organization requires a strong knowledge management. This process is applied to engineer and develop ontology for Business analysis domain.Ontology, Ontology Engineering, Methodology, Protégé, Business Analysis

    Global IT and IT-enabled services

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    Several topics that were covered during the IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE) held in September 2008, in Tianjin, China, are presented. The symposium focused on the globalized information management, a multidisciplinary covering such fields as computer science, industrial engineering, information systems, management science and engineering, and operations management. The research in global IT and IT-enabled services covers a wide spectrum of topics that include business processes and management in a global setting, such as global workflow technologies and applications, global information system integration and interaction, and global knowledge management. One of the topics focused on the importance of business process modeling technologies and security requirements in order to derive a trust federation from formally described business process models.published_or_final_versionSpringer Open Choice, 21 Feb 201

    Exploring the advantages of content management systems for managing engineering knowledge in product-service systems

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    Knowledge management has drawn great interest in manufacturing industries and related business practices. With the requirement for better managing the massive data and knowledge generated during different lifecycle stages of products, manufacturing industries are looking for effective way to acquire, save, process and share knowledge from and between different stakeholders, so as to make appropriate decisions and continuously improve business operations. Current (conventional) engineering information systems in manufacturing applications, such as Enterprise Resource Planning, Computerized Maintenance Management and Product Lifecycle Management Systems are difficult to inter-operate and integrate with each other when dealing with growing amount of data and knowledge as a product goes through its lifecycle stages. As informational and communication technologies (ICT) are being developed much faster in other sectors such as financial, business and social media, it is important to explore the potential of latest ICT tools predominantly used in those sectors for engineering applications and identify any advantages and benefits over the conventional engineering information systems. This paper presents an experiment in using an Open Source Content Management System, for the implementation of a collaborative product-service system for the planning and execution of maintenance and service operations of high-value complex numerical control machine tools in advanced manufacturing systems

    Knowledge based helpdesk system in Nuclear Malaysia

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    Knowledge based (K-based) Helpdesk system is a knowledge oriented web based system that provides support to business process of the technical service providers.It is a multi- centric system which focuses on end-users, technical workers and higher level management through utilization of knowledge which resides and grows within the system. The objectives of the system are to be a user-friendly, capture technical knowledge for efficient performance and educating users for self reliance.These were achieved through the improvement of the helpdesk business process and better management of technical knowledge. This system has been tested and implemented in Information Technology Center (IT), Engineering Division (BKJ) and Instrumentation and Automation Center (IAC) at the Malaysian Nuclear Agency (Nuclear Malaysia). Higher levels of user satisfaction and faster growth in technical knowledge repository have been recorded in the system.This paper describes the helpdesk system in the perspective of management of its technical knowledge contributing to strengthening organizational knowledge asset of Nuclear Malaysia as national nuclear research institution

    Inter- & Intradepartmental Knowledge Management Barriers when Offering Single Unit Solutions

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    The Business-to-Business market is increasingly characterized by customers asking for solutions fitting their infrastructure and functional requirements in a short timeframe. The high frequency of such single unit solutions together with the unpredictable and often very specific customer requests impose a challenge onto the supplier’s knowledge management. This paper analyses current corresponding knowledge management barriers, which hamper the production process, in particular, because of misunderstandings between sales and engineering departments. The aggregation of the results of a literature review and an empirical study identifies three measures for overcoming these barriers in order to establish a global culture of knowledge sharing

    Agile energy modelling : a business centric approach

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    Abstract: Energy management is a crucial aspect to global sustainability. Multinational Manufacturing Corporations’ (MMC’s) utilise a large amount of energy, making energy optimisation a priority. The ability to evaluate MMC’s total energy utilisation effectively and efficiently is a challenge. This research focuses on holistically modelling the business energy systems of MMC’s by adopting a business process centric approach. MMC’s conduct business based on global or regional business processes depending on the function, global/regional functional enablement. The agile energy model proposed in this research integrates key knowledge areas of energy assessment, business management, business processes and system engineering, to deliver a comprehensive simulation toolset for energy quantification, evaluation and optimisation

    Special Theme of Research in Information Systems Analysis and Design - I. Unraveling Knowledge Requirements Through Business Process Analysis

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    Organizations analyze their business processes in order to improve them. Business processes are also considered retainers, users and creators of organizational knowledge. Thus, they can be analyzed to identify the knowledge used, created and embedded in them. A process analysis approach that focuses on redesign does not necessarily capture the knowledge used and created in a process. Choosing a knowledge-focused approach should lead to understanding knowledge needs but might not lead to improved business processes. This paper describes an approach for Knowledge Requirements Analysis (KRA) that combines process analysis with identifying knowledge used and created during the process. KRA is the process of identifying and analyzing existing organizational knowledge and prescribing improvements to it. The KRA methodology presented in this paper combines two methods: a knowledge engineering method (CommonKADS) and a process modeling method (EDPDT). The EDPDT constructs are used to operationalize the organization and task models of CommonKADS and thus create the KRA methodology. The methodology was applied successfully to the process of ethical reviews of grant applications in a university. The main advantage of the proposed methodology is that it enables organizations to keep track of their knowledge resources embedded in various business processes. Knowledge that is not shared or used can be detected and new knowledge can be identified to support and improve existing processes better. This approach can lead to improved knowledge management in organization
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