Advanced Course on Supply Chain Analytics

INTRODUCTION

This highly interactive training will offer you with the information you need to deal with difficulties in today’s and tomorrow’s supply chains. It will assist persons involved in Supply Chain and Logistics in learning skills and techniques that will allow them to foresee market requirements while also implementing approaches that will assist team members in optimizing their activities, expenses, and service supply.

This course will look at the most recent approaches to use Supply Chain Analytics techniques to optimize logistics operations and supply chain, reducing lead times and operational costs and accelerating the transition to Industry 4.0..

COURSE METHODOLOGY

This course is designed in the form of workshop which will includes a variety of learning tools to help participants function effectively and efficiently in a multifunctional environment through various methodologies including;

• Short lectures
• Brainstorming
• Case studies
• Group activities
• Role playing

COURSE OBJECTIVES

The attendees of this Certificate Program will be able to:

• Identify trends in Supply Chain activity using Big Data analysis tools and approaches.
• Create virtual Supply Chain models and select the most profitable choices.
• Identify and simplify the sources of Big Data in their Supply Chain and Logistics.
• Create a consumer behavior pattern and identify any changes in these patterns.
• Plan to strengthen their Supply Chain using current facilities and people.
• Prepare for the arrival of Supply Chain 4.0 as a component of Industry 4.0.

 WHO SHOULD ATTEND THIS COURSE?

• Business Improvement Specialists
• Industry 4.0 Pioneers and Practitioners
• Supply Chain Managers
• Operation Managers
• Project Managers
• Finance Managers
• IT Managers
• Consultants
• Anyone who is seeking improvement in skills for enhanced performance and career development

TARGETED SKILLS

• Sources of Big Data within their own Supply Chain
• Integration with Other Supply Chains
• Real-time cost/benefit analysis and dynamic simulation based on Big Data analytics results
• Simple and quick short-term forecasting for quick decision making
• Transferring the time-consuming decision-making process to the realm of artificial intelligence
• Allowing individuals to make long-term judgments while technology makes short-term decisions