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

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 ProcessProduct Versus Process in Developing Complex ProductsModels and Methods of Conducting Product Design and DevelopmentIndustry and ProfitabilityDimensions of and Approaches to Managing the Product Development ProcessApproaches to Understanding and Managing the Product Development ProcessDimensions of the Interdisciplinary Design Process of Complex ProductsRecommended Approach to Understanding and Managing the Product Development ProcessResearch Methodologies to Understand the Product Development ProcessResearch Methodologies to Understand the Product Development ProcessResearch Methods and Phases in Engineering Design ManagementOther Classifications of Research Methodologies to Understand the Product Development ProcessTypes of DataSamplingStatistical ErrorsData Collection MethodsEngineering Design ExperimentsSelected Industrial Sectors for the ExperimentsResearch QuestionsResearch Hypotheses Research Validity and VerificationRecommended Research Methodology Design Experiments: Description and OutcomeQuasi-Experiment ResearchQuasi-Experiments Research OutcomeStatistical Analysis’ Results on the Experiments’ OutcomesResults of Analysis of Bivariate Correlation with the Technical Attributes of Product SuccessResults 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 FindingsActivities 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 ContributionsConcluding Remarks and Future Research DirectionsConcluding Remarks Directions for Future Research Appendix A: Design Management Research Questionnaire on the Integrated Design ProjectAppendix B: Design Management Research Questionnaire on the Structural Design ProjectAppendix C: Design Activities and StrategiesReferencesIndex

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.