The purpose of this paper is to provide a systematic algorithm to identify conflicts implied in a product-environment system (PES). A PES is generated from environment analysis, the first activity of EBD methodology. Conflict identification is the second activity in EBD methodology. A detailed systematic approach to identify conflict is missing in this activity; therefore, the proposed algorithm is intended to close this gap. The algorithm includes the following tasks: 1) construct a performance network, 2) identify active and reactive conflicts, and 3) identify critical conflicts. A case study in collaboration with Area Development Planning (a subsection of the City of Edmonton) is also presented in this paper. The case study is to demonstrate the use of the proposed algorithm to develop a total quality management system. The algorithm lays the foundation for solution generation, which is the third activity in EBD methodology.
Problem formulations in natural language imply imprecision, ambiguity, incompleteness, conflict and inconsistency between requirements in a design problem. Recursive Object Model (ROM) based problem formulation in conceptual design extracts complete product requirement from design problems structured initially in natural language. Since ROM carries certain semantic and syntactic information implied in natural language, it is used to formulate a design problem through a question asking approach. The scope of this paper is to present an updated algorithm, question templates, rules and detailed procedures to ask generic questions based on ROM representations. Generic questions are needed for the clarification and extension of the meaning of a design problem in order to overcome the imprecisions, ambiguities, conflicts and inconsistencies of problem descriptions in natural language. The updated algorithm, question templates, rules and detailed procedures for asking generic questions are used in a case study to formulate the development of a Total Quality Management system (TQMS).
A deep learning approach is focused on understanding concepts, analyzing ideas, and creating a strong connection between them and prior knowledge to solve real problems. A capstone project, considered as deep learning approach, is a widely-adopted educational strategy designed to teach students to use their engineering knowledge to solve real-life engineering problems. An aerospace capstone project has been introduced at Concordia University through the NSERC Chair in Aerospace Design Engineering (NCADE) program. The goal of this paper is to investigate assessment methods to measure the effectiveness of students’ learning considering cognitive (knowledge and skills) and affective domains of learning during the NCADE capstone project. To achieve the goal, four assessment methods (i.e., Study Process Questionnaire (SPQ), Approaches to Study Inventory (ASI), Concept Mapping Technique (CMT) and Recursive Object Model (ROM)) have been investigated. The paper also discusses the methods with the purpose of implementing an ongoing continuous improvement process during the capstone project.
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