This training programme aims to acclimatize the participants with the fundamental concepts of forecasting techniques to leverage business competitiveness. The course is designed, keeping in mind the various technomanagerial aspects that need to be addressed by the participants. NITIE faculty has been working on different domains of applications in Statistics & Operations Research and is actively involved in consulting and applied research projects. This will facilitate participants to understand the application of concepts in the industrial setting. The program is designed as the effective blend for application orientation with plenty of case exercises.
Upon successful completion of this program, participants 1) will be familiarized with the concepts of forecasting. 2) will be able to develop and analyze different types of forecasting models. 3) will be able to apply various forecasting models in real life decision making, specifically in the context of operations and supply chain management. 4) will learn coding and solving the forecasting problems in Python/R.
This training program is designed for web-based learning with hands-on exercises for executives in managerial positions in any organization. The topics covered include the following: ? Basic Components of Forecasting ? Different Techniques of Forecasting (Time-Series, Holt?s Model, etc.) ? Errors in Forecasting ? Selection of Best Forecasting Methods and their uses ? Applications of various Forecasting Techniques in Operations and Supply Chain Management.
Professionals involved in operations & supply chain management and related functional areas.
|Starts On||Sep 17, 2022|
|Faculty||Prof. Debabrata Das|
|Duration||Professional Fee*(Per participant)||GST(18%)||Total Fees(Per Participant)||Programme Code|
|18 Hrs.||9,000.00||1,620.00||10,620.00||1 23 2 21|