1,721,115 research outputs found
Business Process Reengineering driven by customer value: A support for undertaking decisions under uncertainty conditions
Preliminary studies on human approaches to inventive design tasks with a TRIZ perspective
AbstractAmong the open research issues in the field of inventive design, a careful attention should be dedicated to the definition of means to measure and improve the efficiency of educational and training processes as well as to assess the benefits of the introduction of TRIZ expertise into R&D and engineering teams. In fact, while TRIZ methods and tools have gained a certain acknowledgment as a means to improve problem solving and inventive design skills, a dominant model about its introduction in an industrial organization is still missing. The paper presents a study aimed at measuring the impact of TRIZ learning (tools and logic) with respect to individuals’ talent. The paper proposes an original methodology to investigate human approaches to inventive design tasks: definition of the test (Sample group and control group, Inventive problems); evaluation criteria (Aptitude to follow a logical problem analysis path; Aptitude to explore various perspectives of the problem; Aptitude to generalization; Overall correctness of the problem analysis task; Completeness of the analysis); comparison and correlation criteria (Pearson correlation). The proposed investigation methodology is clarified through the description of an exemplary application in design courses at Politecnico di Milano and at the Università di Firenze
OTSM-TRIZ Network of Problems for evaluating the design skills of engineering students
AbstractThis paper aims at exploring the opportunities coming from the application of the OTSM-TRIZ Network of Problems as a means for mapping the design steps of engineering students coping with design problems. Both the design rationale and the design protocol can be analyzed to support the evaluation of the overall outcomes of students downwards a course on systematic design, considering both the ideas they generate and the process they follow for the ideation. The paper proposes a few improvements for the OTSM-TRIZ Network of Problems, so as to adapt it for such a purpose. Some demonstrations of the applicability of the proposed method are presented by means of two different design problems faced by groups of students having homogeneous levels of expertise and engineering skills. The results, got through a research method here detailed, highlight that the proposed approach allows the evaluators/analysts to carry out the time-demanding protocol studies with significant savings in time. Moreover, this model allows the definition of appropriate metrics to carry out homogenous and more objective evaluations among students
Effectiveness of different requirements checklists for novice designers
Working under constrained conditions can boost or kill creativity, depending on the nature of the constraints (organizational, personal or task-related). However, a design process without clearly identified constraints, which set the project objectives, could lead to inefficiencies and unfruitful iterations. Some of the most acknowledged procedures to support requirement definition are focused on the use of specific checklists. However, notwithstanding the importance of the task, little attention was dedicated to the verification of the effectiveness of these tools. In such a context, the paper presents an investigation aimed at assessing the performance of three checklists that exploit different strategies to elicit requirements. To that purpose, a sample of fifty engineering students was asked to use the checklists to define the requirements for a specific design case. The outcomes of the experiment were assessed according to well-acknowledged effectiveness metrics, i.e. quantity, operationality, validity, non-redundancy, and completeness. The result of the assessment highlights that checklists based on more general questions or abstract stimuli can better support novice designers in making explicit internally felt design constraints that can potentially lead to more innovative design
ARIZ85 and patent-driven knowledge support
AbstractThe growing complexity of technical solutions, which encompass knowledge from different scientific fields, makes necessary, also for multi-disciplinary working teams, the consultation of information sources. Indeed, tacit knowledge is essential, but often not sufficient to achieve a proficient problem solving process. Besides, the most comprehensive tool of the TRIZ body of knowledge, i.e. ARIZ, requires, more or less explicitly, the retrieval of new knowledge in order to entirely exploit its potential to drive towards valuable solutions.A multitude of contributions from the literature support various common tasks encountered when using TRIZ and requiring additional information; most of them hold the objective of speeding up the generation of inventive solutions thanks to the capabilities of text mining techniques. Nevertheless, no global study has been conducted to fully disclose the effective knowledge requirements of ARIZ. With respect to this deficiency, the present paper illustrates an analysis of the algorithm with the specific objective of identifying the different types of information needs that can be satisfied by patents. The results of the investigation lay bare the most significant gaps of the research in the field. Further on, an initial proposal is advanced to structure the retrieval of relevant information from patent sources currently not supported by existing methodologies and software applications, so as to exploit the vast amount of technical knowledge contained in there. An illustrative experiment sheds light on the relevance of control parameters as input terms for the definition of search queries aimed at retrieving patents sharing the same physical contradiction of the problem to be treated
Testing a New Structured Tool for Supporting Requirements’ Formulation and Decomposition
The definition of a comprehensive initial set of engineering requirements is crucial to an effective and successful design process. To support engineering designers in this non-trivial task, well-acknowledged requirement checklists are available in literature, but their actual support is arguable. Indeed, engineering design tasks involve multifunctional systems, characterized by a complex map of requirements affecting different functions. Aiming at improving the support provided by common checklists, this paper proposes a structured tool capable of allocating different requirements to specific functions, and to discern between design wishes and demands. A first experiment of the tool enabled the extraction of useful information for future developments targeting the enhancement of the tool’s efficacy. Indeed, although some advantages have been observed in terms of the number of proposed requirements, the presence of multiple functions led users (engineering students in this work) to useless repetitions of the same requirement. In addition, the use of the proposed tool resulted in increased perceived effort, which has been measured through the NASA Task Load Index method. These limitations constitute the starting point for planning future research and the mentioned enhancements, beyond representing a warning for scholars involved in systematizing the extraction and management of design requirements. Moreover, thanks to the robustness of the scientific approach used in this work, similar experiments can be repeated to obtain data with a more general validity, especially from industry
On the Factors Affecting Design Education Within a Multi-Disciplinary Class
Design education is a highly debated topic since decades, yet the focus on multi-disciplinary classes has gained a paramount importance due to the multi-disciplinary nature of today's global challenges. This paper contributes to the discussion through the description of the Design Methods and Processes course at Alta Scuola Politecnica, an original educational experience jointly developed by Politecnico di Milano and Politecnico di Torino with a highly selected number of MS students from Architecture, Industrial Design and all branches of Engineering. After positioning this discussion with respect to the relevant literature, the paper describes the educational model of this course and the reflections made after 5 years of implementation. Students show to catch the essence of the design workflow thanks to the educational path structured as a problem-analysis-and-solving process. However, dealing with multi-disciplinary task demands a careful composition of students' teams since it can positively/negatively affect the learning experience as well as students' motivations
Product Planning techniques: investigating the differences between research trajectories and industry expectations
According to several literature sources, Product Planning is acknowledged as a primary driver of future commercial success for new designed products, and it is schematically constituted by the identification of business opportunities and the selection of most promising alternatives. Despite the recalled relevance of Product Planning, it emerges that a marginal quantity of companies have adopted formal methods to carry out this task. The paper attempts to provide a major understanding about such a limited implementation of Product Planning techniques and other open issues emerging from the analysis of the literature concerning the initial phases of engineering design cycles. The presented study investigates the claimed benefits of methods described in the literature, the level to which such tools are diffused through educational programs in Technical Institutes, the expectations and the demands of a sample of enterprises with respect to new tools supporting Product Planning. It emerges that, whereas existing methods strive to fulfil relevant properties according to the perception of the companies, limitations come out in terms of the transfer of the proposed techniques and their perceived reliability
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
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