1,721,222 research outputs found
Enterprise modelling : building a product lifecycle (PLM) model as a component of the integrated vision of the enterprise
Full text linkEnterprise modelling has proved to be an efficient tool to study organisations structure and facilitate decision making. The enterprise is a complex system that is required to use its processes to generate value in a given environment (concurrent, market, suppliers and humanity). We focus on three management disciplines: Product Lifecycle Management (PLM), Supply Chain Management (SCM) and Customer Relationship Management (CRM). These business processes are so intertwined that the enterprise has to concentrate on the three to attain its economic objectives. To enhance the development of PLM, SCM and CRM models, the enterprise needs to capitalise the knowledge necessary to adapt and apply modelling techniques. Knowledge Management (KM) is a key factor to give a unified enterprise vision. Firstly, we propose an integrated enterprise model depicting the interactions between PLM, SCM, CRM and KM models. But a state of the art showed that PLM models are scarce. Most of the PLM models found depends strongly on the particular case studied and can not be used with other enterprises. After defining the most important components of the PLM vision, we propose to organise these components into a formalised way. The study of SCM and CRM models proved to be helpful to structure these components. Finally the validation methodology that is to be established in our coming research works is not only to be used with the PLM model presented in this paper but with SCM and CRM models also.Product Lifecycle Management (PLM), Enterprise modelling, Enterprise systems
Development of an online condition monitoring system for slow speed machinery
Full text linkOne of the main challenges of slow speed machinery condition monitoring is that the energy generated from an\ud
incipient defect is too weak to be detected by traditional vibration measurements due to its low impact energy.\ud
Acoustic emission (AE) measurement is an alternative for this as it has the ability to detect crack initiations or\ud
rubbing between moving surfaces. However, AE measurement requires high sampling frequency and\ud
consequently huge amount of data are obtained to be processed. It also requires expensive hardware to capture\ud
those data, storage and involves signal processing techniques to retrieve valuable information on the state of the\ud
machine. AE signal has been utilised for early detection of defects in bearings and gears. This paper presents an\ud
online condition monitoring (CM) system for slow speed machinery, which attempts to overcome those\ud
challenges. The system incorporates relevant signal processing techniques for slow speed CM which include\ud
noise removal techniques to enhance the signal-to-noise and peak-holding down sampling to reduce the burden\ud
of massive data handling. The analysis software works under Labview environment, which enables online\ud
remote control of data acquisition, real-time analysis, offline analysis and diagnostic trending. The system has\ud
been fully implemented on a site machine and contributing significantly to improve the maintenance efficiency\ud
and provide a safer and reliable operation
Open standards-based system integration for asset management decision support
Full text linkOver the last decade, system integration has grown in popularity as it allows organisations to streamline business processes. Traditionally, system integration has been conducted through point-to-point solutions – as a new integration scenario requirement arises, a custom solution is built between the relevant systems. Bus-based solutions are now preferred, whereby all systems communicate via an intermediary system such as an enterprise service bus, using a common data exchange model. This research investigates the use of a common data exchange model based on open standards, specifically MIMOSA OSA-EAI, for asset management system integration. A case study is conducted that involves the integration of processes between a SCADA, maintenance decision support and work management system. A diverse number of software platforms are employed in developing the final solution, all tied together through MIMOSA OSA-EAI-based XML web services. The lessons learned from the exercise are presented throughout the paper
Device Information Modeling in Automation - A Computer-Scientific Approach
Full text linkThis thesis presents an approach for device information modeling that is meant to ease the challenges of device manufacturers in the automation domain. The basis for this approach are semantic models of the application domain. The author discusses the challenges for integration in the automation domain and especially regarding field devices, device description languages and fieldbuses. A method for the generation of semantic models is presented and an approach is discussed that is meant to help the generation of device descriptions for different device description languages. The approach is then evaluated
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Data quality enhanced asset management metadata model
No full textResearchers have indicated that maintaining the quality of data is often acknowledged as problematic, but is also seen as critical to effective decision-making in engineering asset management (AM). The development of metadata standards is considered as an effective approach to address various data quality issues. Our literature review shows that there has been little study on the development of metadata standards for engineering asset management. Thus, this research has proposed a preliminary EAM metadata model as a result of the study into various related mature metadata standards with a strong focus on data quality assurance. It is believed that this model will provide useful contributions to generic or organisational specific metadata standard development in engineering asset management organizations.
A roadmap for information technology governance
No full textEngineering enterprises traditionally adopt a technology-centred approach to asset lifecycle management, where technical aspects of asset configuration, design, and operation command most resources and are considered first in their planning and design stage. On the other hand, asset lifecycle support infrastructure like information technologies to support asset lifecycle, lifecycle processes maturity, and other organisational factors are considered relatively late in the process and sometimes only after the assets are operational. In this way, these enterprises mature technologically along the continuum of standalone technologies to integrated systems, and in so doing aim to achieve maturity of processes enabled by these technologies, and the skills associated with their operation. However, information technologies influence and are influenced by the context of their implementation and have a direct relationship with organisational evolution. Therefore, the success of information technologies implementation for asset lifecycle management depends on their alignment with business processes. This paper provides a case for governance of information technologies utilised for asset lifecycle management. It is of particular interest to the organisations that are currently using Enterprise Resource Planning systems like SAP as the core technology for asset lifecycle management or have adopted a Service Oriented Architecture, or those that have adopted both. It concludes that information technologies should not be taken as technical constructs, these are at the core of strategic alignment, value delivery, resource management, and risk management; which calls for needs to understand and govern the overall information technology architecture of the organisation.
Asset Optimization and Predictive Maintenance in Discrete Manufacturing Industry
No full textNowadays, the current challenging issue in production is to deliver products in a more
efficient manner by controlling, monitoring and centralising all intra-logistical processes. With the growing focus on sustainability, complexity grows even further as productions managers have to manage energy and material consumption, carbon footprint, and waste output in addition to Key Performance Indicators like process efficiency, asset utilization, quality, scrap rate and costs. Efforts to find the optimum for yield, quality, and speed or energy consumption individually often result in local optima, far from the ideal solution. Optimization must start at global bottlenecks within the plant or supply network, which can only be identified if overall process transparency is given.
This project is included in a much larger project called PLANTCockpit (Production
Logistics and Sustainability Cockpit) which is a FP7 FoF ICT Collaborative Project.
Here the aim of this project is to ensure the optimized use of available resource
(personal, equipment, material and energy) for a scheduled product plan with
continuous asset monitoring in discrete manufacturing industry. This issue is closed to real-world manufacturing problems and demands awareness from production managers
on the holistic aspect of engineering assets availability. It includes the reliable detection and anticipation of performance deviations via monitoring the production and product related process, diagnostic of possible causes and predicting the time of occurrence. In such a context, PLANTCockpit project has been specially proposed to provide a decision support mechanism for an integrated maintenance and production management and consequently for asset optimization.
In this project, a study of the existing methodologies for asset management and
optimization will be performed. The outcome of this study will provide a novel
approach for asset management and optimization. Furthermore, predictive maintenance and MIMOSA (Machinery Information Management Open System Alliance) standard will be one of the current issued to be tackled in order to prove improvement in the optimization for asset utilization.
Keywords: Asset management, Asset optimization, Predictive Maintenance, Product
Lifecycle Management (PLM), MIMOSA.Outgoin
A service oriented architecture for data integration in asset management
No full textThe integration of data plays a crucial role in condition monitoring and active data warehousing. It is classified in horizontal and vertical integration which capture different integration scenarios. Horizontal scenarios deal with application providing complementary functionality, whereas vertical scenarios deal with the integration of applications on different abstraction levels. Processing data for effective decision support in condition monitoring is usually performed by different software applications that are integrated in a common business process. In order to execute the business process, data must be exported from one application and imported into another. However, due to heterogeneous underlying data models, the data export and import is not straight forward and a translation of data from one representation into another is required. We propose a Service Oriented Architecture (SOA) based on Web services that allow a seamless integration of asset management tools by providing a common architecture. It supports vertical and horizontal integration and enables the plug-in of new tools without interfering with a running environment.
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