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 Dr. Chehroudi has presented results of his innovative research work on schedule forecasting for Low-Volume Highly-Complex New Product Development at the  NDIA I/ITSEC 2023 (iitsec.org) Conference, Modeling and Simulation, Orlando, FL 11/27/2023 - 12/1/2023. The title of the work is: "Novel and Evidenced-Based Project Duration Forecasting for Acquisition Programs Characterized by Low-Volume Highly-Complex New Product Development." To the best of this author's knowledge, this is the first time that such a unique approach has been proposed and implemented in literature. ABSTRACT: Please see previous Post. Key distinguished features of the Nostradamus forecasting program (PART 1): 1.      It removes human biases involved in nearly all traditional schedule forecasting approaches (for details, see our technical paper). Although biases exist (such as overconfidence, anchoring, strategic optimism, and availability, (see Kahneman and Tversky (1979a)), Nostradamus compensates using the actual performance on a most-recently-delivered source product. 2.      Nostradamus, in contrast to tradition schedule forecasting methods (relying on excessively high number of tasks with different estimated durations), only focuses on “major” tasks or “major” components (“tasks” and “components” are interchangeably used here), and as such, substantially decreases complexity while (as demonstrated in the paper) increases reliability and precision of the schedule forecasting. It is equally important to emphasize that these “major” tasks or “major” components are defined by the manufacturer. 3.      There is no need to specify any interdependencies between these “major” components or tasks. This is because such interdependencies between components or tasks are taken into account by the manufacturer and reflected in its ECDs. Nostradamus only requires dates a manufacturer thinks or estimates each of the “major” components or “major” tasks would be completed. Additionally, no information regarding the inter-task dependencies or linkages (or inter-activity dependencies/linkages within a task) are needed. This is because their impacts are captured in the “major” task ECDs provided by the manufacturer. This is in stark contrast to forecasting methodologies requiring Gantt charts with begin-end dates and inter-task relationships to function. When compared to other statistically-based approaches, the use of the most recent performance information substantially reduces complexity in the forecasting methodology used in Nostradamus. 4. Continued in the Next Post.

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 Dr. Chehroudi has presented results of his innovative research work on schedule forecasting for Low-Volume Highly-Complex New Product Development at the  NDIA I/ITSEC 2023 (iitsec.org) Conference, Modeling and Simulation, Orlando, FL 11/27/2023 - 12/1/2023. The title of the work is: "Novel and Evidenced-Based Project Duration Forecasting for Acquisition Programs Characterized by Low-Volume Highly-Complex New Product Development." To the best of this author's knowledge, this is the first time that such a unique approach has been proposed and implemented in literature. ABSTRACT: Please see previous Post Key distinguished features of the Nostradamus forecasting program (PART 2): 1.      Please see previous Post. 2.      Please see previous Post. 3.      Please see previous Post. 4.      Also, requiring the manufacturer to disseminate its best estimates of “major” task (or component) completion dates in each periodically-held Production Management Review (PMR), not only substantially reduces forecasting complexity, but also provides an incentive for offering its best forecasting efforts in order to minimize manufacturer’s reputational risk. 5.      It is important to highlight that for forecasting product delivery-dates of any on-going project, Nostradamus does not require the dates when “major” tasks (or components) started. All that is needed are the manufacturer-provided estimated completion dates for these “major” tasks (or “major” components). 6.      If a new unexpected technical issue arises after a PMR date that causes a substantial schedule delay, the Nostradamus algorithm will utilize updated information that the manufacturer incorporates in the following Line of Balance (LOB) that takes into account the schedule impacts brought by the technical issue. Indeed, this Bayesian-like approach is inherently incorporated into the Nostradamus program logic (i.e. using the past established performance and combining it with any newly-provided information to update and correct its product delivery-date forecasts) pays tribute to the adaptable and agile nature of the algorithm. 7.      Lastly, and most notably, Nostradamus can be used at any time within a progressing project regardless of the project/product type.

🔗 Unlocking the Digital Thread: Transforming Product Development with Simulation 🔗 Explore the future of simulation-driven innovation at the pSeven User Conference on October 8th, 2024! Join Sandeepak Natu from CIMdata as he reveals how a robust digital engineering framework is crucial to managing the complexities of modern product development. In this session, Sandeepak Natu will discuss: ▪️ The Digital Thread's untapped potential: Learn how integrating simulation processes and data into the digital thread can radically transform businesses. ▪️ Low-code collaborative platforms: Discover how low-code platforms enhance simulation adoption by capturing best practices, automating workflows, and connecting with SPDM software. ▪️ Enterprise-wide connectivity: Understand how a single source of truth for simulation data enables collaboration across design, manufacturing, sales, service, and global supply chains. This talk will highlight how using simulation early and continuously in the product lifecycle can revolutionize your business by driving better decision-making and innovation. 🗓️ Date: October 8, 2024 🌐 Event: pSeven User Conference 2024 📍 Venue: Ferme de Pinot, Toulouse, France 📌 Topic: Connecting simulation to enterprise digital thread with the help of collaborative engineering platforms and SPDM 🎤 Presenter: Sandeepak Natu, CIMdata Don’t miss the chance to hear from an industry leader about how to integrate simulation into the digital thread and optimize your product development processes! 👉🏼 https://lnkd.in/e5Bz2Vg7 #DigitalEngineering #SimulationDrivenInnovation #PLM #SPDM #P7UC2024 #pSeven #Engineering #Innovation

🔗 Unlocking the Digital Thread: Transforming Product Development with Simulation 🔗 Don't miss this rare opportunity to hear from CIMdata, a leading authority in digital transformation! At the pSeven User Conference 2024 on October 8th, Sandeepak Natu from CIMdata will explore how a robust digital engineering framework is reshaping modern product development. Can't wait to hear this presentation, especially from such a prominent organization! 🔍 Key Highlights: 🔹 Untapped potential of the Digital Thread: See how integrating simulation into the digital thread can revolutionize business practices. 🔹 Low-code collaborative platforms: Learn how low-code platforms enhance simulation by automating workflows and connecting with SPDM software. 🔹 Enterprise-wide connectivity: Discover how a unified source of simulation data empowers collaboration across the entire product lifecycle—from design to global supply chains. This session is a must for anyone looking to drive innovation and optimize their product development processes with simulation-driven insights. 📅 Event: pSeven User Conference 2024 📍 Location: Ferme de Pinot, Toulouse, France 🎤 Presenter: Sandeepak Natu, CIMdata 🌐 Topic: Connecting simulation to the enterprise digital thread 👉🏼 Register now: https://lnkd.in/e5Bz2Vg7 #DigitalThread #Simulation #CIMdata #P7UC2024 #pSeven #Engineering #Innovation #ProductDevelopment

Interested in #ModelBased #SystemsEngineering? The report from the #MBSESummit 2023 gives some nice insights into the current state-of-practice and academia.

Digitalization in life science labs offers several benefits: increased efficiency, greater collaboration, accelerated scientific discovery...the list goes on! In order to break down the concept of digitalization, it's important to understand the organization's goal, which is scientific success. The scientific process, particularly from an R&D perspective, is best described in a Design, Build, Test, Learn (DBTL) model. This model can be simplified to Design, Execute, and Analyze when speaking about digitalization and the software stack needed to accomplish this. In our latest Genie blog, we break down what each of these components are, and what to consider when digitalizing your lab. Access it here: https://loom.ly/lcQt_Jw

Hey, we're joining you this month with the following chunks of useful data 🌬 : ⚕ First, the article about medical devices and our input into healthcare is finally published. Make sure you don't miss it! 🌊 Also, we'll unveil one more project from our portfolio designed and manufactured for use by marine vessels. 💥 Reverse engineering in electronics is more than just a couple of words. Here's why we'll delve into it in great detail with the support of our expert in electronics. 🧘♂️ Additionally, we're eager to bring you the relevant knowledge source about LEAN implementation. That's why the article about LEAN implementation and first steps will be brought to life by the end of this month. 🧓 As we didn't cover the PM interview part in January, we are sure to disclose it in February. Stay tuned for the information that might help you create!