• Concurrent Engineering Best Practices

    Concurrent Engineering Best Practices
    • Jan 15, 1999. And development process helps find the best solutions and develop successful products. Toyota excels at value engineering (VE) and value analysis (VA). Traditional design practice, whether concurrent or not, tends to.
    • We've seen a few different methods to have concurrent engineering with Adept over the years and we have several Customers that are looking for some best practices. One method that we are not crazy about is using shared work areas.
    1. Best Practices In Teaching

    In the second half of 2013, CMI Defence, a weapons systems manufacturer from Belgium, started to explore Set-Based Concurrent Engineering (SBCE), its advantages, principles and tools associated with the approach. This is not the first time CMI Defence came across SBCE, but it was the first time they committed to it.

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    Presenting a systematic approach to concurrent engineering (CE), this reference accommodates the small corporation's quest to incorporate better design management practices. The author provides an easy-to-follow methodology that eliminates the need for costly consultants and promotes environmentally. The project's aims were to identify the critical constraints with respect to global manufacturing, and to synthesise the best practices of concurrent engineering (CE) in a number of industrial sectors including automotive, aerospace, telecommunication, shipbuilding, and information technology.

    The implementation was kicked-off at the engineering department, later followed by a first round of global implementation. This article briefly describes the SBCE process in CMI Defence, complemented with some theoretical foundations, for readers not so familiar with the Set-Based Concurrent Engineering approach (often called Set-Based Design or simply Set-Based Engineering). Is a product development approach where multiple solutions for the same need or problem are developed in parallel. As the solutions mature through time, teams gradually narrow their respective sets of solutions based on the knowledge gained through prototypes, experiments, and tests. As the teams narrow (reduce) their set of solutions, they commit to staying within the sets so that other design teams (working on a different subsystem or managing the entire system) can rely on their communication.

    Prior to the ‘Exploration Phase’, the team breaks down the product under consideration (the entire product; e.g. Armored vehicle turret system) into its core subsystems (e.g.

    Feeding system, gun, armor, etc.), where each subsystem is then assigned to a team of specialists. This enables the development teams to enter the exploration phase where they create and explore multiple concepts for their respective subsystems in parallel. These are developed for as long as factual information is needed to make a decision.

    Engineering

    Trade-offs between alternative solutions are explored and feasibility tests are carried out. Testing ensures that enough and right knowledge is generated for informative decision-making, while trade-offs indicate potentially stronger and weaker solutions.

    In the second phase called ‘Set-Based Communication,’ teams look for feasible intersections between developed alternatives and rule out the inferior ones. Although some alternatives are not fit for further development, they are not discarded entirely. The ruled-out alternatives might still have interesting and valuable features, which teams can merge with stronger alternatives if/when applicable. Only when all teams are aligned and key knowledge gaps are identified, they enter the third phase, called ‘Convergence’. When the final sets are communicated and agreed upon, development teams commit to staying within their sets so that other teams can rely on them. Ppsspp download windows 10. In this part of the project, teams spend most of the times trying to find the answers to address and resolve the knowledge gaps that exist within their own subsystems, while at the same time ensuring their solutions are capable of seamless integration with solutions from other subsystems. These integration events are ensuring the required knowledge is created and the functionality of the system is perfected before the solution proceeds to the detailed design phase.

    The final phase, known as the ‘Selection Phase,’ aims at selecting the most promising system solution which will be pursued in the following stages of the product life cycle. MATIC GOLOB Lean Analytics Association Matic has over 5 years of experience in working with global organizations from various industrial sectors, either leading or supporting the development and introduction of bespoke lean innovation and new product development solutions. Over the past years, Matic has co-developed a framework to enable better, faster and more integrated innovation across the entire value chain, enabling companies to maximize their innovation capability and deliver truly customer-centric products and services, while minimizing the risk of market failure. Matic is a certified Service Design Thinking Facilitator, and the creator of the Set-Based Integrated Innovation Business Game co-developed with a multinational Swiss company. He completed his Master’s degree in Global Product Development and Management at Cranfield University in 2012. Matic is a co-author of the Lean Product Development Best Practices book, and several journal and conference publications. He regularly appears as a speaker and workshop holder at various lean, product development and innovation conferences.

    Best Practices In Teaching

    OLIVIER CARLENS CMI Group Olivier Carlens is a Deputy Group CTO for CMI, a Belgian diversified group involved in Defense, Energy, Industry, Environment and Services. He previously worked for the CMI Defence, a CMI Group subsidiary, and other Belgian Defense companies. His experience includes Project Management, Systems Engineering, Product Development and Innovation Management. Olivier received a Master of Sciences in Ballistics and Weapon Engineering from the Royal Military Academy of Belgium, a MBA from Vlerick Management School and a Master of Sciences in technology Management from the Open University. MYRNA FLORES Lean Analytics Association Dr.

    Flores has over 20 years of experience collaborating as internal or external consultant in different manufacturing and services organizations, leading several initiatives related to Lean Thinking, Business Process improvement, Six Sigma, Supply Chain, Change Management, Open Innovation, Digital Transformation and Human Centered Service Design; providing also training and coaching. She is co-founder and president of the Lean Analytics Association (LAA) and visiting scholar at the College of Management of the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. She carried out her Post-doc at EPFL collaborating at the Lean Product and Process (LeanPPD) FP7 European project from 2009 to 2013. She completed her PhD in 2006 at the Politecnico di Milano studying Open Innovation Models to enable Industry-University collaboration for innovation. Microsoft hyperterminal download.

    She obtained her Master’s Degree in Manufacturing Systems in 1999 and a Bachelor’s Degree in Mechanical Engineering from Monterrey Tec (ITESM) in 1996. Matic Golob is a Senior Research Program Manager, trainer, and coach at Lean Analytics Association (LAA) where he focuses on the development, introduction and implementation of bespoke lean innovation and new product development solutions to support organizations on their continuous improvement journeys. He specializes in Set-Based Integrated Innovation, Design Thinking, Human-Cantered Design, SBCE, Visual Management, Knowledge Management, Training Development and Gamified Learning. Matic previously worked as a Research Fellow and Project Manager at Cranfield University, where he was a task leader of Set-Based Design activities for the British aerospace project named ‘Configuration Optimization of Next Generation Aircraft’. Throughout his career, Matic collaborated with multinational organizations from aerospace, construction, and the fast moving consumer goods industry to introduce and implement lean thinking into their existing innovation and product development processes. He completed his master degree in Global Product Development and Management from Cranfield University in 2012. Matic is also a co-author of several journal and conference publications, as well as a regular speaker at lean and product development events, and he is currently co-developing his first book about lean product development best practices.

    Concurrent Engineering Best Practices