19,568 research outputs found
Factory modelling: data guidance for analysing production, utility and building architecture systems
Work on energy and resource reduction in factories is dependent on the availability of data. Typically, available sources are incomplete or inappropriate for direct use and manipulation is required. Identifying new improvement opportunities through simulation across factory production, utility and building architecture domains requires analysis of model feasibility, particularly in terms of system data composition, input resolution and simulation result fidelity. This paper reviews literature on developing appropriate model data for assessing energy and material flows at factory level. Gaps are found in guidance for analysis and integration of resource-flows across system boundaries. The process for how data was prepared, input and iteratively developed alongside conceptual and simulation models is described. The case of a large-scale UK manufacturer is presented alongside discussions on challenges associated with factory level modelling, and the insights gained from understanding the effect of data clarity on system performance
Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback
Continuous improvement in industrial processes is increasingly a key element of competitiveness for industrial systems. The management of experience feedback in this framework is designed to build, analyze and facilitate the knowledge sharing among problem solving practitioners of an organization in order to improve processes and products achievement. During Problem Solving Processes, the intellectual investment of experts is often considerable and the opportunities for expert knowledge exploitation are numerous: decision making, problem solving under uncertainty, and expert configuration. In this paper, our contribution relates to the structuring of a cognitive experience feedback framework, which allows a flexible exploitation of expert knowledge during Problem Solving Processes and a reuse such collected experience. To that purpose, the proposed approach uses the general principles of root cause analysis for identifying the root causes of problems or events, the conceptual graphs formalism for the semantic conceptualization of the domain vocabulary and the Transferable Belief Model for the fusion of information from different sources. The underlying formal reasoning mechanisms (logic-based semantics) in conceptual graphs enable intelligent information retrieval for the effective exploitation of lessons learned from past projects. An example will illustrate the application of the proposed approach of experience feedback processes formalization in the transport industry sector
Information Technology Platforms: Definition and Research Directions
The concept of an information technology (IT) related platform is broad and
covers phenomena ranging from the operating system Linux to the Internet. Such
platforms are of increasing importance to innovation and value creation across
many facets of industry and daily life. There is, however, a lack of common
understanding in both research and industry about what is mean by the term
platform when related to IT. This lack of consensus is detrimental to research
and knowledge development. Thus, the aims of this study are to: (i) provide a
sound definition of the IT-platform concept by identifying its distinguishing
dimensions; and (ii) identify important current research directions for the
IT-platform concept. To achieve these aims a systematic literature review was
undertaken with 133 relevant articles taken from major information systems
journals, conferences, and business publications. The study contributes by
providing a sound base for future research into IT-platforms.Comment: Research-in-progress ISBN# 978-0-646-95337-3 Presented at the
Australasian Conference on Information Systems 2015 (arXiv:1605.01032
Practitioner requirements for integrated Knowledge-Based Engineering in Product Lifecycle Management.
The effective management of knowledge as capital is considered essential to the
success of engineering product/service systems. As Knowledge Management (KM) and
Product Lifecycle Management (PLM) practice gain industrial adoption, the
question of functional overlaps between both the approaches becomes evident.
This article explores the interoperability between PLM and Knowledge-Based
Engineering (KBE) as a strategy for engineering KM. The opinion of key KBE/PLM
practitioners are systematically captured and analysed. A set of ranked business
functionalities to be fulfiled by the KBE/PLM systems integration is elicited.
The article provides insights for the researchers and the practitioners playing
both the user and development roles on the future needs for knowledge systems
based on PLM
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