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Home Explore Inventory Management for Smart Manufacturing & Services (Spreads)

Inventory Management for Smart Manufacturing & Services (Spreads)

Published by SIMTech, 2020-03-25 03:29:39

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About the Course Leaders ADVANCED MANUFACTURING Dr Wang Fengyu is a principal research engineer with SIMTech, and has many SERIES years of experience in supply chain management with deep expertise in inventory management, system modelling, simulation and optimization techniques. He holds a PhD in Engineering from the Nanyang Technological University, Singapore. Dr Ng Huey Yuen is a research scientist from SIMTech with technical knowledge in inventory management and business model innovation. He is an ACTA-certified trainer, and the first inventor of the Digital Transformation & Innovation™ (DTI™) Methodology. He holds a PhD in Engineering (Manufacturing) from the University of Cambridge, and a BEng (Hons.) in Electrical & Electronics Engineering from the Imperial College London. He was awarded the National Science Scholarships in 2008 and 2012. Dr Ng Yen Ting is a research scientist from SIMTech with technical knowledge in sustainability, resource and inventory planning for manufacturing operations management. She is also an ACTA-certified trainer. Dr Ng holds a PhD in Sustainable Manufacturing from the National University of Singapore and a Master in Electrical & Electronics Engineering from the University of Leeds, UK. She was awarded an A*STAR Graduate Scholarship in 2010. When and Where Dates: Please visit our website at www.a-star.edu.sg/SIMTech/KTO for the course schedule. This programme consists of 10 half-day sessions. Time: 9.00am to 12.30pm Venue: Singapore Institute of Manufacturing Technology Model [email protected], 6 Fusionopolis Way, Synthesis, #01-06, Singapore 138636 Registration Data Analytics Driven Inventory Planning Please register online at www.a-star.edu.sg/SIMTech/KTO IMMERSIVE LEARNING IN THE MODEL [email protected] Contact Us For general enquiries, please contact: Mr Chai Lai Sing, Industry Development Manager, at [email protected] For technical information, please contact: Dr Wang Fengyu, Principal Research Engineer, at [email protected] Scan the QR code for more information. Organised by: Funded by: 03/2020 This programme is part of the training portfolio offered under SIMTech Manufacturing Control Tower™ (MCT™) Programme.

Course Outline Skills Course Reference Number: CRS-N-0051059 The programme engages the Learn-Practise-Implement (LPI) model, through which fundamental knowledge and principles taught will be reinforced in practice, as well as during the implementation process using real business scenario and data. ImLemaerrnsinivge (40 hours) Inventory planning is a process involving inventory performance analysis & planning, Problems Risk Analysis and purchase decision-making; by reaching right-sized inventory through the process, Understanding for SKU the organisation will be able to mitigate inventory risk in short term and maximise Segments Performance inventory performance in mid-term and/or long-term. As a direct result, the organisation Just-in-time Inventory Measurements can satisfy demand at low inventory cost. Inventory Planning Replenishment Framework About the Programme Planning Inventory & Planning Approaches & The digitalization journey to Industry 4.0 is fundamentally transforming the traditionally siloed Policy supply chains into integrated digital supply networks, in which supply and demand signals are Principles Development originated at any point and travel immediately throughout the supply networks making data Inventory analytics a powerful tool in inventory planning. Performance Our Immersive & Hands-on Analytics Approach Purchase Optimisation Request Competence Development Generation This programme is to train participants in inventory planning knowledge and principles, and equip them with skills and tools that are required in inventory performance analysis and planning. Harvesting the Low Hanging Fruit Reaching right-sized inventory by applying the knowledge and skills learned through the course is a low hanging fruit that company can achieve in the early stage of the digitalization journey. Meanwhile, the course will pave the way for continuous inventory performance improvement in the journey to Industry 4.0. Who Should Attend The programme is relevant for business owners, CEOs, directors, senior managers, and professionals who are in the areas of supply chain management, planning, purchasing and Course Fee and Funding sourcing, inventory and material control, and sales & operation planning. • The nett course fee for all Singaporeans and SPRs aged 21 years old and above is S$1,200 (before GST). Performance Improvement Performance Improvement of 10% - 30% of 5% - 20% • Employees fully sponsored by SMEs can claim an additional 20% of the full course fee with the Enhanced Training Support for SMEs Funding scheme, subject to approval by SSG. Performance Optimisation • Singaporeans aged 40 years and above can claim an additional 20% of the full course fee with the Current Practise Express Planning • Performance Dashboards for Mid-Career Enhanced Subsidy (MCES). • Rule of Thumb • Aligned with Business Plan Visibiity • Chasing Forecast and Constraints • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be • No Performance Visibility • Forecast is factored in • Performance Alert used to offset course fees (for self-sponsored registrations only). • Without Targets • Reorder Point (ROP) • Performance Optimisation identified • Multiple Policies • The full course fee before funding is S$4,000 (before GST). • Single Policy • What-if Analysis • No Optimisation • Performance Evaluation & For more information about the funding, please visit SkillsFuture Singapore website at www.ssg.gov.sg Validation


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