1st Edition

Design for Profitability Guidelines to Cost Effectively Manage the Development Process of Complex Products

By Salah Ahmed Mohamed Almoslehy Copyright 2016
    248 Pages 20 B/W Illustrations
    by CRC Press

    248 Pages 20 B/W Illustrations
    by CRC Press

    Since the success of products significantly depends on the quality of product performance, inadequate management of the product design process can lead to improper performance of products that can result in significant long-term business losses. Design for Profitability: Guidelines to Cost Effectively Manage the Development Process of Complex Products presents a design guideline for complex product design and development that enables you to cost-effectively improve the technical performance of your products and consequently improve your competitiveness in the marketplace as well as improve profitability.

    The book helps you improve the competitiveness of your organization in the market and eventually improve profitability. It presents a mobile robots design guideline based on an empirical study of the mobile robots design process. This is an unprecedented guideline based on the empirical investigation of the internal aspects of the design process of complex products for cost-effectively enhancing the competitiveness in the market. The book also presents a hybrid lean-agile design paradigm for mobile robots. In addition, it points out key approaches and risks to manage the product development process efficiently.

    In designing complex products and integrated systems, industrial designers face a dilemma of cost-effectively striking a balance between product development time and product performance attributes. This book shows how and when value is added in product design and development through identifying statistically the most and least correlated design activities and strategies to product performance attributes. Introducing a new paradigm in the field of engineering design, the book gives you key approaches to efficiently manage the product development process.

    Analysis and Modelling of the Product Development Process
    Product Versus Process in Developing Complex Products
    Models and Methods of Conducting Product Design and Development
    Industry and Profitability

    Dimensions of and Approaches to Managing the Product Development Process
    Approaches to Understanding and Managing the Product Development Process
    Dimensions of the Interdisciplinary Design Process of Complex Products
    Recommended Approach to Understanding and Managing the Product Development Process

    Research Methodologies to Understand the Product Development Process
    Research Methodologies to Understand the Product Development Process
    Research Methods and Phases in Engineering Design Management
    Other Classifications of Research Methodologies to Understand the Product Development Process
    Types of Data
    Sampling
    Statistical Errors
    Data Collection Methods

    Engineering Design Experiments
    Selected Industrial Sectors for the Experiments
    Research Questions
    Research Hypotheses
    Research Validity and Verification
    Recommended Research Methodology

    Design Experiments: Description and Outcome
    Quasi-Experiment Research
    Quasi-Experiments Research Outcome

    Statistical Analysis’ Results on the Experiments’ Outcomes
    Results of Analysis of Bivariate Correlation with the Technical Attributes of Product Success
    Results of Analysis of Bivariate Correlation of the Positively Correlated Design Activity with the Technical Attributes of Product Success
    Results of Analysis of Bivariate Correlation of the Negatively Correlated Design Activity with the Technical Attributes of Product Success
    Results of Dependency Analysis Using Bivariate Correlation and Partial Correlation Analyses
    Reliability Analysis Results
    Assumptions in the Reliability Analysis
    Verification and Validation of the Results of the Quasi- Experiments
    Research Validation and Verification of the Hybrid Approach Through Case Studies
    Implication of Percentage of Variation in Technical Performance Due to the Design Variables (r2)

    Implications and Conclusions of Research Findings
    Activities and Strategies of the System Design Dimension That Are Correlated and Uncorrelated with the Technical Attributes of Product Success
    Design Activities and Strategies of the Project Management Dimension That Are Correlated and Uncorrelated with the Technical Attributes of Product Success
    Design Activities and Strategies of the Mechanical Subsystem Dimension That Are Correlated and Uncorrelated with the Technical Attributes of Product Success
    Activities and Strategies of the Electronics Subsystem Dimension That Are Correlated and Uncorrelated Design with the Technical Attributes of Product Success
    Design Activities and Strategies of the Software Subsystem Dimension That Are Correlated and Uncorrelated with the Technical Attributes of Product Success
    Implications of the Experimental Observations
    Implications of the Research Hypotheses
    Implications of the Main Findings of the Statistical Analysis
    Hybrid Lean–Agile Design Paradigm
    Conclusions of the Quasi-Experiments
    Summary and Major Contributions

    Concluding Remarks and Future Research Directions
    Concluding Remarks
    Directions for Future Research

    Appendix A: Design Management Research Questionnaire on the Integrated Design Project

    Appendix B: Design Management Research Questionnaire on the Structural Design Project

    Appendix C: Design Activities and Strategies

    References

    Index

    Biography

    Salah A.M. Elmoselhy holds a PhD in mechanical engineering under joint supervision of the International Islamic University Malaysia (IIUM) and the Center for Sustainable Mobility at Virginia Polytechnic Institute and State University (Virginia Tech). He holds as well an MS in mechanical design and production engineering from Cairo University and an MBA in international manufacturing business from Maastricht School of Management (MSM). He has ten years of industrial experience in CAD/CAM and robotised manufacturing systems. He has been recently a researcher at the Engineering Department and Fitzwilliam College of Cambridge University from which he received a Diploma of postgraduate studies in engineering design. He has authored/co-authored about twenty-five refereed publications including ISI-indexed and SCOPUS-indexed journals and conference publications. His research appears in journals such as SAE Transactions: Journal of Materials and Manufacturing, Journal of Manufacturing Systems, and Journal of Mechanical Science and Technology. He is an Associate Member of the IMechE, recipient of the 2009 ASME Award of Excellence in advancing the engineering profession in robotics, and Member of the Editorial Board of the Journal of Industrial Engineering & Management.

    "Through analyzing design of experiments and correlating positive/negative effects, the author has summarized a guide for designers and developers to ensure product development and product performance are cost effectively balanced. The author has been able to give important clues to where product developers should focus or avoid additional resource effort in successful complex product development."
    —Doug Evans, Suncor