scholarly journals Early Robust Design—Its Effect on Parameter and Tolerance Optimization

2021 ◽  
Vol 11 (20) ◽  
pp. 9407
Author(s):  
Stefan Goetz ◽  
Martin Roth ◽  
Benjamin Schleich
Keyword(s):  
Product Development ◽  
Robust Design ◽  
Product Development Process ◽  
Design Parameters ◽  
Concept Design ◽  
Design Decisions ◽  
Dynamic Markets ◽  
Tolerance Optimization ◽  
Qualitative Approaches ◽  
Design Activities

The development of complex products with high quality in dynamic markets requires appropriate robust design and tolerancing workflows supporting the entire product development process. Despite the large number of methods and tools available for designers and tolerance engineers, there are hardly any consistent approaches that are applicable throughout all development stages. This is mainly due to the break between the primarily qualitative approaches for the concept stage and the quantitative parameter and tolerance design activities in subsequent stages. Motivated by this, this paper bridges the gap between these two different views by contrasting the used terminology and methods. Moreover, it studies the effects of early robust design decisions with a focus on Suh’s Axiomatic Design axioms on later parameter and tolerance optimization. Since most robust design activities in concept design can be ascribed to these axioms, this allows reliable statements about the specific benefits of early robust design decisions on the entire process considering variation in product development for the first time. The presented effects on the optimization of nominal design parameters and their tolerance values are shown by means of a case study based on ski bindings.

scholarly journals Making design decisions under uncertainties: probabilistic reasoning and robust product design

2021 ◽  
Author(s):  
Paul Christoph Gembarski ◽  
Stefan Plappert ◽  
Roland Lachmayer
Keyword(s):  
Product Development ◽  
Product Life Cycle ◽  
Probabilistic Reasoning ◽  
Late Phase ◽  
Development Project ◽  
Product Development Process ◽  
Bayesian Decision ◽  
Rotary Valve ◽  
Design Decisions ◽  
Decision Network

AbstractMaking design decisions is characterized by a high degree of uncertainty, especially in the early phase of the product development process, when little information is known, while the decisions made have an impact on the entire product life cycle. Therefore, the goal of complexity management is to reduce uncertainty in order to minimize or avoid the need for design changes in a late phase of product development or in the use phase. With our approach we model the uncertainties with probabilistic reasoning in a Bayesian decision network explicitly, as the uncertainties are directly attached to parts of the design artifact′s model. By modeling the incomplete information expressed by unobserved variables in the Bayesian network in terms of probabilities, as well as the variation of product properties or parameters, a conclusion about the robustness of the product can be made. The application example of a rotary valve from engineering design shows that the decision network can support the engineer in decision-making under uncertainty. Furthermore, a contribution to knowledge formalization in the development project is made.

scholarly journals SIMULTANEOUS DEFINITION OF KEY CHARACTERISTICS IN ORDER TO FACILITATE ROBUST DESIGN IN EARLY PRODUCT DEVELOPMENT STAGES

2021 ◽  
Vol 1 ◽  
pp. 2691-2700
Author(s):  
Stefan Goetz ◽  
Dennis Horber ◽  
Benjamin Schleich ◽  
Sandro Wartzack
Keyword(s):  
Product Development ◽  
Robust Design ◽  
Language Processing ◽  
Design Stage ◽  
Concept Design ◽  
Clear Definition ◽  
Implicit Information ◽  
Key Characteristics ◽  
Associated Functions ◽  
Definition Of

AbstractThe success of complex product development projects strongly depends on the clear definition of target factors that allow a reliable statement about the fulfilment of the product requirements. In the context of tolerancing and robust design, Key Characteristics (KCs) have been established for this purpose and form the basis for all downstream activities. In order to integrate the activities related to the KC definition into product development as early as possible, the often vaguely formulated requirements must be translated into quantifiable KCs. However, this is primarily a manual process, so the results strongly depend on the experience of the design engineer.In order to overcome this problem, a novel computer-aided approach is presented, which automatically derives associated functions and KCs already during the definition of product requirements. The approach uses natural language processing and formalized design knowledge to extract and provide implicit information from the requirements. This leads to a clear definition of the requirements and KCs and thus creates a founded basis for robustness evaluation at the beginning of the concept design stage. The approach is exemplarily applied to a window lifter.

scholarly journals Customized Product Development Supported by Integrated Information

2020 ◽  
Author(s):  
Mitja Varl ◽  
Jože Duhovnik ◽  
Jože Tavčar
Keyword(s):  
Information Systems ◽  
Product Development ◽  
Design Process ◽  
Robust Design ◽  
Product Development Process ◽  
Systematic Analysis ◽  
Large Power ◽  
Product Customization ◽  
Cost Efficient ◽  
Overall Effectiveness

Information systems are key enablers for the integration and reliable management of the product development process. Information systems are the backbone that connects various sub-processes and enables flexible product customization. Fast, robust, and cost-efficient product adaptation is especially important in one-of-a-kind production. This paper presents a transformation of the product development design process for large power transformers into a competitive and smartly supported process. One-of-a-kind production is specific, as each product must be customized, wherefore a robust design process well supported by IT plays a key role in creating a digital twin and the product’s final value. Based on a systematic analysis of the sample company, this paper proposes a model for the complete renewal of information systems and of working methodology, where reorganization is demonstrated in an increase of overall effectiveness.

Optimal Design Decisions in Product Portfolio Valuation

2002 ◽  
Author(s):  
Panayotis Georgiopoulos ◽  
Ryan Fellini ◽  
Michael Sasena ◽  
Panos Y. Papalambros
Keyword(s):  
Product Development ◽  
Optimal Designs ◽  
Product Development Process ◽  
Product Portfolio ◽  
Design Decisions ◽  
Business Decisions ◽  
Business Context ◽  
Valuation Process ◽  
Product Valuation ◽  
Portfolio Valuation

Product portfolio valuation is a core business milestone in a firm’s product development process: Determine what will be the final value to the firm derived from allocating assets into an appropriate product mix. Optimal engineering design typically deals with determining the best product based on technological (and, occasionally, cost) requirements. Linking technological with business decisions allows the firm to follow a product valuation process that directly considers not only what assets to invest but also what are the appropriate physical properties of these assets. Thus, optimal designs are determined within a business context that maximizes the firm’s value. The article demonstrates how this integration can be accomplished analytically using a simple example in automotive product development.

A Discrete Differential Evolution Algorithm for Product Development Scheduling

2012 ◽  
Author(s):  
Sarayut Nonsiri ◽  
Eric Coatanea ◽  
Mohamed Bakhouya
Keyword(s):  
Product Development ◽  
Differential Evolution ◽  
Design Process ◽  
Development Process ◽  
Research Work ◽  
Differential Evolution Algorithm ◽  
Product Development Process ◽  
Effective Manner ◽  
Design Activities ◽  
Discrete Differential Evolution

The scheduling of the design activities in product development process is a crucial step in early stages in order to achieve the project in time and cost-effective manner. In complex product development process, many dependency relationships or feedback loop could exist between design activities with multiple technical domains. Sequencing the design activities is a decision making process in order to reduce these feedback loops, and therefore, reduce amount of required information flows between activities. In recent years, methods for sequencing the design activities in design process have been proposed in order to reduce lead-time development and cost. The purpose of this research work is to present a methodology for design process sequencing in product development project by using Design Structure Matrix (DSM) for visualization a complex process and Discrete Differential Evolution (DDE) for sequencing the design tasks. The tests performed in this article have shown that this approach provides very competitive results in term of the quality of obtained solutions when compared to Genetic algorithms (GA). In additional it is a simple, effective and easy to use since the amount of control parameters to set is reduced.

scholarly journals A Survey on the Applications of Machine Learning in the Early Phases of Product Development

2019 ◽  
Vol 1 (1) ◽  
pp. 2437-2446 ◽  
Author(s):  
Seyed Sina Shabestari ◽  
Michael Herzog ◽  
Beate Bender
Keyword(s):  
Machine Learning ◽  
Product Development ◽  
Product Development Process ◽  
Future Research ◽  
Concept Design ◽  
Survey Techniques ◽  
Current State ◽  
State Of Research ◽  
Applications Of Machine Learning ◽  
Early Phases

AbstractMachine learning has shown its potential to support the knowledge extraction within the development processes and particularly in the early phases where critical decisions have to be made. However, the current state of the research in the applications of the machine learning in the product development are fragmented. A holistic overall view provides the opportunity to analyze the current state of research and is the basis for the strategic planning of future research and the actions needed. Hence, implementing the systematic literature survey techniques, the state of the applications of machine learning in the early phases of the product development process namely the Requirements, functional modelling and principal concept design is reviewed and discussed.

scholarly journals Design of a robust stair-climbing compliant modular robot to tackle overhang on stairs

Robotica ◽  
2018 ◽  
Vol 37 (3) ◽  
pp. 428-444 ◽  
Author(s):  
Ajinkya Bhole ◽  
Sri Harsha Turlapati ◽  
Rajashekhar V.S ◽  
Jay Dixit ◽  
Suril V. Shah ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Robust Design ◽  
Stair Climbing ◽  
Parameter Design ◽  
Design Parameters ◽  
Concept Design ◽  
Modular Robot ◽  
Optimal Setting ◽  
Performance Variations

SUMMARYThis paper discusses the concept and parameter design of a robust stair-climbing compliant modular robot, capable of tackling stairs with overhangs. Geometry modifications of the periphery of the wheels of our robot helped in tackling overhangs. Along with establishing a concept design, the robust design parameters are set to minimize performance variations. The Grey-based Taguchi method is applied to provide an optimal setting for the design parameters of the robot. The robot prototype is shown to have successfully scaled stairs of varying dimensions, with overhang, thus corroborating the analysis performed.

scholarly journals METHOD ACCEPTED - FIELDS OF ACTION FOR INCREASING METHODS APPLICATION IN PRODUCT DEVELOPMENT

2021 ◽  
Vol 1 ◽  
pp. 2037-2046
Author(s):  
Anne Wallisch ◽  
Simon J. Nicklas ◽  
Kristin Paetzold
Keyword(s):  
Product Development ◽  
Development Process ◽  
Product Development Process ◽  
Support Design ◽  
Industrial Practice ◽  
Basic Assumptions ◽  
Subsequent Step ◽  
Design Activities ◽  
Successful Design ◽  
Complex Methods

AbstractContrary to all agreement that methods can efficiently support design activities in the product development process, it can still be heard that notably complex methods often find little acceptance in industrial practice in terms of consistent use. Therefore, this concept paper aims to identify factors influencing the formation of acceptance to support a successful design and implementation of methods in product development. For this purpose, the first necessary step is to clarify the conceptualization of acceptance within this domain. Furthermore, the influencing variables, which are described in the acceptance models having been identified as development-relevant in a literature review, are first extracted and second newly structured using a behavioural model reflecting the mental stages from stimulus to behaviour. Third, the insights gained towards the factors' relevance throughout these stages are applied to the conditions of method application in engineering and design. In a subsequent step, basic assumptions towards central fields of action for concrete measures to increase acceptance concerning the use of methods in product development are derived.

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