Identifying Design Strategies to Mitigate the Risk Introduced into New Product Development by Suppliers

For every organization, an efficient and effective product development process is a key to generate and manage growth opportunities. Often strategic relationships with key suppliers and partners are required as organizations do not have all the competencies that are crucial to the development of a product. This is particularly true for Original Design Manufacturer (ODM) and Joint Development Manufacturer (JDM) supplier relationships, which are characterized by a high degree of supplier involvement in every stage of product development. If the interactions with these key suppliers are not managed properly, there is significant risk that the endeavor will end up with missing budget, schedule and cost goals, particularly for complex systems. Little attention in the literature, however, has been given to the risk introduced by suppliers into the product development process nor mitigating this risk through appropriate design strategies. This thesis addresses the need to develop a risk assessment methodology that would not only identify areas of concern but also identify potential design strategies to mitigate risk. In this work, metrics are derived to quantify the relative importance, degree of change, difficulty of change and degree of coupling for engineering metrics at system and subsystem levels. From these metrics, a framework is developed to quantitatively assess the risk due to supplier interactions. In addition, design strategies identified in the literature are characterized in terms of these same metrics to determine the design strategy which is most suited to mitigate the risk associated with a particular EM. Finally, a case study is presented for the hypothetical development of a 3D printer, to assess initial feasibility and utility of the framework

Critical success factors and risk mitigation strategy for new product development

”Success in new product development (NPD) offers a competitive and comparative advantage in the marketplace. A primary objective in an NPD project is to launch world class products with minimal risk. To deliver the superior quality and performance customers require, a company must develop the right NPD structure and framework for seamless execution by the NPD project teams throughout the product lifecycle. Companies must understand how to identify and mitigate risk to enable the success of their NPD projects. The costs to develop new products are often a considerable portion of an organization’s budget; however, studies have shown only 60 percent of new products making it to the market are commercially successful. Therefore, NPD project teams need to have a risk mitigation strategy, methodology, or framework to help with the identification and mitigation of risks in the product development process. This research conducted a systematic literature review to document the current research in the development of a risk mitigation framework tied to critical success factors (CSFs) that can be applied in the NPD process. The purpose of this research was to 1) determine the top CSFs that enable successful NPD through a worldwide multi-industry survey and 2) develop an NPD framework to mitigate risk. The survey responses were analyzed using the Kruskal-Wallis non-parametric statistical analysis to determine statistical differences in the CSFs based on rank. The top CSFs were then grouped to provide a conceptual highlevel view for managers to consider when developing or continuously improving their NPD execution structure, methods, and processes. An NPD framework was proposed based on the CSFs in order to mitigate risk”--Abstract, page iv

Generating And Validating A Global Framework Of Pharmaceutical Development Goals And Corresponding Indicators

INTRODUCTION: The imperative of meeting current global healthcare challenges requires advancing pharmacy practice in a global context. This research aimed to design and develop a valid and consented set of global goal-oriented pharmaceutical development frameworks and corresponding indicators to support and guide systematic practice transformation needed to meet the national and global pharmaceutical healthcare demands of changing population demographics. METHODS: Part 1 of the research project This research used a mixed-methods approach. A series of international expert focus groups were conducted to evaluate the acceptance of a set of proposed global pharmaceutical development goals (PDGs). This was followed by recruiting global pharmacy leaders who participated in a modified nominal group technique to further develop the content of the initial PDGs framework. In a subsequent study, a qualitative modified Delphi approach was employed by a panel of international experts to ensure the credibility and content validity of the framework outputs and generate consensus on a final matrix of the proposed global PDGs. Part 2 of the research project A content analysis of the relevant collated data followed by a Delphi process of an international Expert Group was performed to identify and establish initial consensus on potential indicators aligned with the published PDGs framework. Delphi method’s outcomes were used to conduct a global cross-sectional online questionnaire to assess and validate the relevancy and availability of the proposed indicators. RESULTS: Part 1 of the research project A globally validated and consented set of systematic PDGs (systematic framework) for development comprising 21 PDGs along with their descriptions and mechanisms to shape and guide global pharmacy practice transformation. Part 2 of the research project A set of correlated and validated transnational evidence-based indicators that will monitor national-level progress and measure the advancement of the 21 PDGs worldwide across workforce/education, practice, and pharmaceutical science. CONCLUSION: A systematic and globally consented set of PDGs, along with evidence-based progress indicators, was generated to monitor the sustainable advancement of pharmaceutical practice and support a needs-based roadmap for pharmacy practice transformation

Selection of an alternative production part approval process to improve weapon systems production readiness

This thesis conducted an examination related to the Department of Defense (DOD) weapons systems production approval practices. Current practices result in poor weapons system production outcomes that reduce fleet readiness in DOD weapons systems acquisition. The Government Accountability Office (GAO) has reported concerns related to a lack of manufacturing knowledge at production start as causal to poor production outcomes. A comparison of DOD practices against non-DOD industrial production approval processes addressing causality and improvement opportunity provided new insight not found in acquisition research. An analysis of alternatives identified best practices to improve production capability and readiness. Key findings revealed that the automotive production approval process followed industry best practices that fully addressed problems identified by the GAO. Non-DOD industries used a more prescriptive Quality Management System (QMS) that enabled a more disciplined manufacturing development and demonstration of production capability prior to production commitment. Commercial surveys in the literature confirmed the benefits of the automotive prescriptive QMS. The more successful QMS approach can be applied to DOD acquisition practices reducing costs and improving fleet readiness.http://archive.org/details/selectionofnlter1094556139Civilian, Department of the NavyApproved for public release; distribution is unlimited

Innovative configurable and collaborative approach to automation systems engineering for automotive powertrain assembly

Presently the automotive industry is facing enormous pressure due to global competition and ever changing legislative, economic and customer demands. Both, agility and reconfiguration are widely recognised as important attributes for manufacturing systems to satisfy the needs of competitive global markets. To facilitate and accommodate unforeseen business changes within the automotive industry, a new proactive methodology is urgently required for the design, build, assembly and reconfiguration of automation systems. There is also need for the promotion of new technologies and engineering methods to enable true engineering concurrency between product and process development. Virtual construction and testing of new automation systems prior to build is now identified as a crucial requirement to enable system verification and to allow the investigation of design alternatives prior to building and testing physical systems. The main focus of this research was to design and develop reconfigurable assembly systems within the powertrain sector of the automotive industry by capturing and modelling relevant business and engineering processes. This research has proposed and developed a more process-efficient and robust automation system design, build and implementation approach via new engineering services and a standard library of reusable mechanisms. Existing research at Loughborough had created the basic technology for a component based approach to automation. However, no research had been previously undertaken on the application of this approach in a user engineering and business context. The objective of this research was therefore to utilise this prototype method and associated engineering tools and to devise novel business and engineering processes to enable the component-based approach to be applied in industry. This new approach has been named Configurable and Collaborative Automation Systems (CO AS). In particular this new research has studied the implications of migration to a COAS approach in terms of I) necessary changes to the end-users business processes, 2) potential to improve the robustness of the resultant system and 3) potential for improved efficiency and greater collaboration across the supply chain... cont'

A user experience‐based toolset for automotive human‐machine interface technology development

The development of new automotive Human-Machine Interface (HMI) technologies must consider the competing and often conflicting demands of commercial value, User Experience (UX) and safety. Technology innovation offers manufacturers the opportunity to gain commercial advantage in a competitive and crowded marketplace, leading to an increase in the features and functionality available to the driver. User response to technology influences the perception of the brand as a whole, so it is important that in-vehicle systems provide a high-quality user experience. However, introducing new technologies into the car can also increase accident risk. The demands of usability and UX must therefore be balanced against the requirement for driver safety. Adopting a technology-focused business strategy carries a degree of risk, as most innovations fail before they reach the market. Obtaining clear and relevant information on the UX and safety of new technologies early in their development can help to inform and support robust product development (PD) decision making, improving product outcomes. In order to achieve this, manufacturers need processes and tools to evaluate new technologies, providing customer-focused data to drive development. This work details the development of an Evaluation Toolset for automotive HMI technologies encompassing safety-related functional metrics and UX measures. The Toolset consists of four elements: an evaluation protocol, based on methods identified from the Human Factors, UX and Sensory Science literature; a fixed-base driving simulator providing a context-rich, configurable evaluation environment, supporting both hardware and software-based technologies; a standardised simulation scenario providing a repeatable basis for technology evaluations, allowing comparisons across multiple technologies and studies; and a technology scorecard that collates and presents evaluation data to support PD decision making processes

A Survey on Trust Metrics for Autonomous Robotic Systems

This paper surveys the area of Trust Metrics related to security for autonomous robotic systems. As the robotics industry undergoes a transformation from programmed, task oriented, systems to Artificial Intelligence-enabled learning, these autonomous systems become vulnerable to several security risks, making a security assessment of these systems of critical importance. Therefore, our focus is on a holistic approach for assessing system trust which requires incorporating system, hardware, software, cognitive robustness, and supplier level trust metrics into a unified model of trust. We set out to determine if there were already trust metrics that defined such a holistic system approach. While there are extensive writings related to various aspects of robotic systems such as, risk management, safety, security assurance and so on, each source only covered subsets of an overall system and did not consistently incorporate the relevant costs in their metrics. This paper attempts to put this prior work into perspective, and to show how it might be extended to develop useful system-level trust metrics for evaluating complex robotic (and other) systems

Industry 3.0 to Industry 4.0: Exploring the Transition

This work is a How-To-Guide for DigitALIZAtion of Industry 4.0 Manufacturing. It provides a novel ALIZA Canvas and ALIZA Process supported by a comprehensive ALIZA Toolset. This output is derived from observed, tangible deficiencies in contemporary functional communications in manufacturing. This study proposes an innovative approach with robust methodologies for strategic alignment of the technical and business components in manufacturing. The requirement for a supplementary educational infrastructure, to address the pronounced educational shortcomings and knowledge gaps in the transition to Industry 4.0 is outlined. An explanation is provided of how E-Cubers (our own educational organization) will design, develop, and deliver educational programmes on Topics relevant to achieving Industry 4.0 Equipment Engineering Excellence. It defines and tests the novel concept of the E-Cubers Eight Ps; encompassing prioritized problem solving, via portfolios and projects, through peer collaboration within a defined technology playground with emphasis on learning and playing with passion. The E-Cubers Eight Ps is combined with The E-Cubers Library to deliver a truly comprehensive specialist, national learning framework. This holistic approach will ultimately enable Ireland to lead the way in Industry 4.0 by doing what we do best “ag spraoi agus ag imirt” (Gaelic – playing by having fun and competing)