Patrick Rigoni, Ph.D. Email and Phone Number
Patrick Rigoni, Ph.D. work email
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Patrick Rigoni, Ph.D. personal email
For my entire life, my passion has been improving things. Individual tasks fist, then processes, and finally systems. I love to dig into my client’s supply chain issues and provide innovative solutions to solve them at their root causes.I have done that my entire life.First while running a production department and looking for new ways to synchronise batch manufacturing with fill-packaging.Then when I became a SixSigma Master Black Belt and found answers to some fierce quality issues.Then while managing a production planning department and looking for ways to integrate suppliers for faster and cheaper deliveries.Then when I used AI to create optimised schedules in multi-constrained manufacturing environments.Then when I applied Lean tools to align production to real demand using the first rhythm-wheels, which later I codified into a constraint master production schedule tool.Then when I developed simulation tools and scenario analysis to support decision making for strategic S&OP: from supply chain network capacity, to supply chain risk analysis, to end-to-end supply chain optimisation, to new product launch.And finally by using the Demand Driven toolkit and DDMRP to deliver step-change improvements in supply chain performance. This is the framework that I am using now, which is the best approach to design and manage supply chains that I have ever seen, in particular during times of increased volatility and uncertainty.Contact me at patrick@patrickrigoni.ch
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Lead PartnerAlpha Business Advisors May 2023 - PresentBellinzona, Ticino, SwitzerlandHelping develop robust solutions to face the increasing business complexity in a changed world -
PartnerPatrick Rigoni | Supply Chain May 2020 - PresentBellinzona, Ticino, SwitzerlandAfter seven years of leading SmartChain to success I decided it was time for a fresh start.My mission is to help companies achieve best in class supply chain performance using the best methodology existing on the planet. The Demand Driven methodology, which is driven by the DDMRP planning engine.Let’s face the truth: for most supply chains the performance in service, inventory, cost and returns on capital employed isn’t improving. It hasn’t in the past years and it will not in the future despite massive investments in technology and automation.But if you are open to new approaches and ready to challenge the established rules of the game of Supply Chain planning then a whole set of new opportunities are open to you.Let’s start this journey together! -
Founding PartnerSmartchain International Llp Apr 2013 - May 2020Banbury, England, United Kingdom -
Strategic Planning DirectorMylan Pharmaceuticals Sep 2009 - Jun 2012ZurichManagement of global supply chain processes such as:- Long and medium term supply planning- Launch scenario planningSupply chain coordination in a major packaging transfer project. -
Manager, Strategic Capacity PlanningJohnson & Johnson May 2006 - Sep 2009- J&J specialist user of the Jonova application- Six Sigma Master Black Belt- Lean Assessor
Patrick Rigoni, Ph.D. Skills
Patrick Rigoni, Ph.D. Education Details
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Molecular Biology
Frequently Asked Questions about Patrick Rigoni, Ph.D.
What company does Patrick Rigoni, Ph.D. work for?
Patrick Rigoni, Ph.D. works for Alpha Business Advisors
What is Patrick Rigoni, Ph.D.'s role at the current company?
Patrick Rigoni, Ph.D.'s current role is Partner at Patrick Rigoni | Supply Chain & AB Advisors.
What is Patrick Rigoni, Ph.D.'s email address?
Patrick Rigoni, Ph.D.'s email address is pa****@****line.ch
What schools did Patrick Rigoni, Ph.D. attend?
Patrick Rigoni, Ph.D. attended Université De Fribourg - Universität Freiburg.
What skills is Patrick Rigoni, Ph.D. known for?
Patrick Rigoni, Ph.D. has skills like Ddmrp, Operational Excellence, Supply Chain Optimization, Lean Manufacturing, Strategic Planning, Supply Chain, Project Management, Cross Functional Team Leadership, Strategic Thinking, Computer Simulation, Value Chain Analysis, What If Analysis.
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