Managerial decision making is increasing in complexity every day. With the adoption of enterprise information management systems, there is a plethora of information which is quantifiable. However, there will also be a lot of information which won’t be strictly quantifiable, but none-the-less would be extremely important for managerial decision making. Effective decision making would involve managing the trade-offs between such a variety of information and conflicting organizational goals. The process itself is highly complex, and to address which, decision support models are needed. These problems are typically handled by specialized quantitative tools involving multiple-criteria decision-making or multiple-criteria decision analysis, which is a sub-discipline of decision science. In current times, these tools are gaining in popularity among consulting practices, in being used to resolve highly complex managerial problems. In this course, participants would be exposed to few of the very important and useful frameworks, which can be used extensively for stimulating improvements in various decision making processes.
This programme is aimed at
- Enable an understanding of challenges and solution approaches of multi-criteria decision making problems
- Developing a quantitative approach of problem solving among participants with both qualitative and quantitative data.
- Enable participants to use Microsoft Excel more effectively using these frameworks for decision making.
- Tools for the measurement of qualitative and quantitative information.
- Framework for multi-criteria decision making using both qualitative and quantitative data using Analytic Hierarchy Process.
- Structured framework for Group Decision Making to leverage the collective expertise of a group of decision makers
- Framework for modelling of probabilistic events for decision making
WHO SHOULD ATTEND:
The course is designed for mid-level and senior level management executives who need to evaluate or make decisions based on both qualitative and quantitative data. The course would be extremely helpful for managers who have to deal with a great deal of imprecise information and subjective decision making challenges, in their Business-as-Usual deliverables.
The programme adopts a mixed methodology approach by using lectures and exercises predominantly, while case studies would also be used to explain the real life applications of the decision support models.
PROGRAMME COORDINATOR Dr. Arpan Kumar Kar
Past Affiliation: Jadavpur University/XLRI Jamshedpur/IBM India Research Laboratory/ Cognizant Business Consulting.
Teaching areas: Management Information Systems, E-Commerce and Digital Marketing
Research areas: M-Commerce, E-Commerce, Decision Science, Business Analytics.
VENUE Indian Institute of Management, Rohtak (IIM Rohtak)
For further queries regarding registration, email me at firstname.lastname@example.org