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Data Analytics Driven Inventory Planning (Pages)

Published by SIMTech, 2020-02-12 21:48:45

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About the Course Leaders ADVANCED MANUFACTURING Dr Wang Fengyu is a principal research engineer with SIMTech, and has many years of SERIES experience in supply chain management with deep expertise in inventory management, system modelling, simulation and optimization techniques. He holds a PhD in Engineering Data Analytics Driven from the Nanyang Technological University, Singapore. Inventory Planning Dr Ng Huey Yuen is a research scientist from SIMTech with technical knowledge in inventory IMMERSIVE LEARNING IN THE MODEL [email protected] 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 operation 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 Please register online at www.a-star.edu.sg/SIMTech/KTO 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 The programme engages the Learn-Practise-Implement 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. Immersive Learning (40 hours) Inventory planning is a process involving inventory performance analysis & planning, and purchase Problems Risk Analysis decision-making; by reaching right-sized inventory through the process, the organisation will be able to Understanding for SKU mitigate inventory risk in short term and maximise inventory performance in mid-term and/or long-term. Segments Performance As a direct result, the organisation can satisfy demand at low inventory cost. Planning Approaches & About the Programme Just-in-time Inventory Measurements Inventory Principles Planning & Planning The digitalization journey to Industry 4.0 is fundamentally transforming the traditionally siloed supply Replenishment Framework Inventory chains into integrated digital supply networks, in which supply and demand signals are originated at any point and travel immediately throughout the supply networks making data analytics a powerful tool in Policy inventory planning. Development Inventory 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 sourcing, inventory and material control, and sales & operation planning. Performance Improvement Course Fee and Funding of 5% - 20% • The nett course fee for all Singaporeans and SPRs aged 21 years old and above is S$1,200 (before GST). Performance Improvement • Employees fully sponsored by SMEs can claim an additional 20% of the full course fee with the of 10% - 30% 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 • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to • Chasing Forecast and Constraints • No Performance Visibility • Forecast is factored in • Performance Alert offset course fees (for self-sponsored registrations only). • Without Targets • Reorder Point (ROP) • Performance Optimisation • The full course fee before funding is S$4,000 (before GST). identified • Multiple Policies • Single Policy • What-if Analysis For more information about the funding, please visit SkillsFuture Singapore website at www.ssg.gov.sg • No Optimisation • Performance Evaluation & Validation

Course Outline 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. Immersive Learning (40 hours) Problems Risk Analysis Understanding for SKU Segments Performance Just-in-time Planning Inventory Measurements Inventory Approaches & Planning & Planning Replenishment Framework Inventory Principles Policy Development Inventory Performance Optimisation Purchase Request Generation Course Fee and Funding • The nett course fee for all Singaporeans and SPRs aged 21 years old and above is S$1,200 (before GST). • 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. • Singaporeans aged 40 years and above can claim an additional 20% of the full course fee with the Mid-Career Enhanced Subsidy (MCES). • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only). • The full course fee before funding is S$4,000 (before GST). For more information about the funding, please visit SkillsFuture Singapore website at www.ssg.gov.sg

About the Course Leaders Dr Wang Fengyu is a principal research engineer with SIMTech, and has many 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 Please register online at www.a-star.edu.sg/SIMTech/KTO 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. 03/2020 This programme is part of the training portfolio offered under SIMTech Manufacturing Control Tower™ (MCT™) Programme.


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