Product Lifecycle Management. Towards Knowledge-Rich Enterprises: IFIP WG 5.1 International Conference, PLM 2012, Montreal, QC, Canada, July 9-11, 2012, Revised Selected Papers

International audienceBook Front Matter of AICT 38

Product Lifecycle Management. Towards Knowledge-Rich Enterprises: IFIP WG 5.1 International Conference, PLM 2012, Montreal, QC, Canada, July 9-11, 2012, Revised Selected Papers

International audienceBook Front Matter of AICT 38

Agnostic content ontology design patterns for a multi-domain ontology

This research project aims to solve the semantic heterogeneity problem. Semantic heterogeneity mimics cancer in that semantic heterogeneity unnecessarily consumes resources from its host, the enterprise, and may even affect lives. A number of authors report that semantic heterogeneity may cost a significant portion of an enterprise’s IT budget. Also, semantic heterogeneity hinders pharmaceutical and medical research by consuming valuable research funds. The RA-EKI architecture model comprises a multi-domain ontology, a cross-industry agnostic construct composed of rich axioms notably for data integration. A multi-domain ontology composed of axiomatized agnostic data model patterns would drive a cognitive data integration application system usable in any industry sector. This project’s objective is to elicit agnostic data model patterns here considered as content ontology design patterns. The first research question of this project pertains to the existence of agnostic patterns and their capacity to solve the semantic heterogeneity problem. Due to the theory-building role of this project, a qualitative research approach constitutes the appropriate manner to conduct its research. Contrary to theory testing quantitative methods that rely on well-established validation techniques to determine the reliability of the outcome of a given study, theorybuilding qualitative methods do not possess standardized techniques to ascertain the reliability of a study. The second research question inquires on a dual method theory-building approach that may demonstrate trustworthiness. The first method, a qualitative Systematic Literature Review (SLR) approach induces the sought knowledge from 69 retained publications using a practical screen. The second method, a phenomenological research protocol elicits the agnostic concepts from semi-structured interviews involving 22 senior practitioners with 21 years in average of experience in conceptualization. The SLR retains a set of 89 agnostic concepts from 2009 through 2017. The phenomenological study in turn retains 83 agnostic concepts. During the synthesis stage for both studies, data saturation was calculated for each of the retained concepts at the point where the concepts have been selected for a second time. The quantification of data saturation constitutes an element of the trustworthiness’s transferability criterion. It can be argued that this effort of establishing the trustworthiness, i.e. credibility, dependability, confirmability and transferability can be construed as extensive and this research track as promising. Data saturation for both studies has still not been reached. The assessment performed in the course of the establishment of trustworthiness of this project’s dual method qualitative research approach yields very interesting findings. Such findings include two sets of agnostic data model patterns obtained from research protocols using radically different data sources i.e. publications vs. experienced practitioners but with striking similarities. Further work is required using exactly the same protocols for each of the methods, expand the year range for the SLR and to recruit new co-researchers for the phenomenological protocol. This work will continue until these protocols do not elicit new theory material. At this point, new protocols for both methods will be designed and executed with the intent to measure theoretical saturation. For both methods, this entails in formulating new research questions that may, for example, focus on agnostic themes such as finance, infrastructure, relationships, classifications, etc. For this exploration project, the road ahead involves the design of new questionnaires for semi-structured interviews. This project will need to engage in new knowledge elicitation techniques such as focus groups. The project will definitely conduct other qualitative research methods such as research action for eliciting new knowledge and know-how from actual development and operation of an ontology-based cognitive application. Finally, a mixed methods qualitative-quantitative approach would prepare the transition toward theory testing method using hypothetico-deductive techniques

A review of energy simulation tools for the manufacturing sector

Manufacturing is a competitive global market and efforts to mitigate climate change are at the forefront of public perception. Current trends in manufacturing aim to reduce costs and increase sustainability without negatively affecting the yield of finished products, thus maintaining or improving profits. Effective use of energy within a manufacturing environment can help in this regard by lowering overhead costs. Significant benefit can be gained by utilising simulations in order to predict energy demand allowing companies to make effective retrofit decisions based on energy as well as other metrics such as resource use, throughput and overhead costs. Traditionally, Building Energy Modelling (BEM) and Manufacturing Process Simulation (MPS) have been used extensively in their respective fields but they remain separate and segregated which limits the simulation window used to identify energy improvements. This review details modelling approaches and the simulation tools that have been used, or are available, in an attempt to combine BEM and MPS, or elements from each, into a holistic approach. Such an approach would be able to simulate the interdependencies of multiple layers contained within a factory from production machines, process lines and Technical Building Services (TBS) to the building shell. Thus achieving a greater perspective for identifying energy improvement measures across the entire operating spectrum and multiple, if not all, manufacturing industries. In doing so the challenges associated with incorporating BEM in manufacturing simulation are highlighted as well as gaps within the research for exploitation through future research. This paper identified requirements for the development of a holistic energy simulation tool for use in a manufacturing facility, that is capable of simulating interdependencies between different building layers and systems, and a rapid method of 3D building geometry generation from site data or existing BIM in an appropriate format for energy simulations of existing factory buildings

Lean product development: nothing new under the sun?

The concept of lean product development has attracted the attention of many scholars since its inception in the 1990s derived from practices at Toyota Motor Company. Key to this approach to new product development (NPD) are a few methods derived from lean production as well as longer established practices such as concurrent engineering. This makes one wonder whether lean product development is a new practice, a new method or an encapsulation of already existing methods at the time; this quest for the roots and tenets of lean product development, also in comparison with other methods for NPD, is the focus of this paper. This journey takes this propositional paper not only to the roots of lean product development and the context of its era of conception, but also to what this concept adds to other extant methods for NPD. In particular, this comparison draws out that other methods are trying to achieve the same objectives: the creation of products and services with value to the customer, the reduction of time-to-market and the efficient use of resources. This inference implies that managers of new product (and service) development can choose from a wider pallet of methods and approaches to enhance the performance of R&D and to connect better to manufacturing (including supply chains). Inevitably, this has implications for research on (lean) product and service development; hence, this paper sets out a research agenda based on the deliberations and gaps that have been uncovered in the discourse

Digitales Assistenzsystem für das Product Lifecycle Management - Analyseansatz mit Fokus auf IT-Schnittstellen

Die Digitalisierung ist die treibende Kraft der aktuellen Entwicklungen unter dem Schlagwort Industrie 4.0. Heterogene und dezentral entstandene IT-Systeme in Unternehmen zu vernetzen ist derzeit eine der Hauptheraus-forderung in der Industrie. Erst auf Grundlage dieser Basis können Prozesse automatisiert und vernetzt realisiert werden. Besonders die Schnittstellen zwischen den IT-Systemen bilden eine Schlüsselrolle. Um diese effizienter zu gestalten, ist im Rahmen dieser Dissertation eine Methode vorgestellt, die Verantwortliche im Bereich der Digitalisierung unterstützt. In der vorliegenden Arbeit wurde ein Ansatz zum IT-Schnittstellenmanagement entwickelt. Als Ausgangspunkt wurden die Aspekte des Produktlebenszyklusmanagements untersucht. Aufbauend auf den Erkenntnissen wurde ein Digitales Assistenzsystem (DAs) entwickelt. „DAs“ ist eine Methodik für die Analyse einer IT-Systemlandschaft mit Fokus auf die IT-Schnittstellen. Durch die Analyse können Schnittstellenpo-tenziale und Workflows identifiziert werden. Des Weiteren können IT-Systeme hinsichtlich monetären und nicht- monetären Faktoren verglichen werden. Die Methode ist mithilfe der IT-Systemlandschaft im Industrie 4.0 Collaboration Lab am Institut für Informationsmanagement im Ingenieurwesen verifiziert und validiert

Digital Twins in Industry

Digital Twins in Industry is a compilation of works by authors with specific emphasis on industrial applications. Much of the research on digital twins has been conducted by the academia in both theoretical considerations and laboratory-based prototypes. Industry, while taking the lead on larger scale implementations of Digital Twins (DT) using sophisticated software, is concentrating on dedicated solutions that are not within the reach of the average-sized industries. This book covers 11 chapters of various implementations of DT. It provides an insight for companies who are contemplating the adaption of the DT technology, as well as researchers and senior students in exploring the potential of DT and its associated technologies