Information model for engineering change management

Managing engineering changes is a critical task for organizations to remain competitive. In a manufacturing organization there are innumerable engineering change requests. This thesis is focused on the development of an information model that defines the engineering change process. This research developed an activity model in IDEF0, an object model in IDEF1X and a dynamic model using state diagrams. The activity model captures the business process for executing an engineering change in terms of its constituting activities and sub-activities. The object model defines each object and its attributes identified in the activity model. The dynamic model captures the status change of each object in the engineering change process. This study concludes with a summary, implementation issues and future work that can be done in the direction of implementing a system based \ on the information model developed

Building product suggestions for a BIM model based on rule sets and a semantic reasoning engine

The architecture, engineering and construction (AEC) industry today relies on different information systems and computational tools built to support and assist in the building design and construction. However, these systems and tools typically provide this support in isolation from each other. A good combination of these systems and tools is beneficial for a better coordination and information management. Semantic web technologies and a Linked Data approach can be used to fulfil this aim. In this paper, we indicate how these technologies can be applied for one particular objective, namely to check a building information model (BIM) and make suggestions for that model regarding the building elements. These suggestions are based on information obtained from different data sources, including a BIM model, regulations and catalogues of locally available building components. In this paper, we briefly discuss the results obtained in the application of this approach in a case study based on structural safety requirements

Complementary Assets in the Methodology of Implementation Unified Information Model of the City Environment Project Life Cycle

AbstractThis article contain comprehensive data of completing the functional, complementary unified information model, based on the technology of building information modelling for creation city environment through the whole lifecycle of the building. Each stage of lifecycle contains its own functional information as a part of unify complementary information model. Complementary unified information model for the executive stage of engineering to complete the documentation are also describe. Complementary unified information model for the stage of facility management presented within the model of life support systems including processes of utility management

Towards a pivotal-based approach for business process alignment.

This article focuses on business process engineering, especially on alignment between business analysis and implementation. Through a business process management approach, different transformations interfere with process models in order to make them executable. To keep the consistency of process model from business model to IT model, we propose a pivotal metamodel-centric methodology. It aims at keeping or giving all requisite structural and semantic data needed to perform such transformations without loss of information. Through this we can ensure the alignment between business and IT. This article describes the concept of pivotal metamodel and proposes a methodology using such an approach. In addition, we present an example and the resulting benefits

A Shannon's theory of knowledge

Our so-called "Information Society", is gradually changing into a "Knowledge Society". The Shannons Theory provided a formal and mathematical framework for information. It was very fruitful for avoiding ambiguity on the concept of information. This paper proposes a transposition of this theory for knowledge. From the three axes of a formal model designed for knowledge engineering (information, sense and context), three quantitative measures are proposed to get a measure of the quantity of knowledge of a system. This notion permits to consider applications as the cognitive measure of a web site, a knowledge community (community of practice…).Knowledge, Knowledge management, Shannon's theory

E/E-product data management in consideration of model-based systems engineering

This paper presents objectives for permeable electric/electronics product data management for mechatronic products in consideration of model-based systems engineering from the early product development phase till a lifecycle management. Idiosyncrasies of mechatronic products, requirements engineering, model-based systems engineering, artifact-orientation, and interconnections of artifacts are evaluated and postulate objectives, how artifacts have to be designed in order to support the linkage of model-based systems engineering and product data management (PDM). The objectives, derived from the different theories and requirements to foster permeable PDM, are: i) Identify all existing norms for the development of mechanical, electronic, and software aspects and elaborate how information artifacts have to be defined. ii) (Textual) Requirements have to be technically feasible to be linked to information artifacts and system models already in the early development phase. iii) System models have to be aligned to information artifacts from the models' creation onwards and standardization in exchange formats has to be ensured. iv) Information artifacts with own lifecycles shall alleviate PDM in the early product development phase. v) Interconnections shall ameliorate associativity through capturing process information between single artifacts. A first concept is presented, visualizing the aforementioned objectives and their contribution in the early development process of mechatronic products, how a permeable PDM might be achieved

Operational Risk Management using a Fuzzy Logic Inference System

Operational Risk (OR) results from endogenous and exogenous risk factors, as diverse and complex to assess as human resources and technology, which may not be properly measured using traditional quantitative approaches. Engineering has faced the same challenges when designing practical solutions to complex multifactor and non-linear systems where human reasoning, expert knowledge or imprecise information are valuable inputs. One of the solutions provided by engineering is a Fuzzy Logic Inference System (FLIS). Despite the goal of the FLIS model for OR is its assessment, it is not an end in itself. The choice of a FLIS results in a convenient and sound use of qualitative and quantitative inputs, capable of effectively articulating risk management's identification, assessment, monitoring and mitigation stages. Different from traditional approaches, the proposed model allows evaluating mitigation efforts ex-ante, thus avoiding concealed OR sources from system complexity build-up and optimizing risk management resources. Furthermore, because the model contrasts effective with expected OR data, it is able to constantly validate its outcome, recognize environment shifts and issue warning signals.Operational Risk, Fuzzy Logic, Risk Management Classification JEL:G32, C63, D80

Implementation of MBSE Practices within Integrated PLM Solutions

The article provides a general analysis of the current state of information ecosystems that implement the practice of model-based system engineering. It is concluded that the largest players of the PLM-market in the strategy and tactics of development of their products lay support practices model-based system engineering. Implementation of MBSE practices within PLM solutions is considered on the example of Siemens Digital Industries Software’s products. Keywords: System Engineering, Model-based system engineering (MBSE), Product lifecycle management (PLM), Capella, Modeling Tool, ARCADIA

Appropriate Models In Decision Support Systems For River Basin Management

In recent years, new ideas and techniques appear very quickly, like sustainability, adaptive management, Geographic Information System, Remote Sensing and participations of new stakeholders, which contribute a lot to the development of decision support systems in river basin management. However, the role of models still needs to be emphasized, especially for model-based decision support systems. This paper aims to find appropriate models for decision support systems. An appropriate system is defined as ‘the system can produce final outputs which enable the decision makers to distinguish different river engineering measures according to the current problem’. An appropriateness framework is proposed mainly based on uncertainty and sensitivity analysis. A flood risk model is used, as a part of the Dutch River Meuse DSS to investigate whether the appropriate framework works. The results showed that the proposed approach is applicable and helpful to find appropriate models