QM & OM Area comprises faculty with expertise in two key disciplines: Decision Sciences (Quantitative Methods (QM)) and Decision Making within the realms of Operations Management (OM) and Supply Chain Management (SCM). In particular, the area is concerned with teaching and research on designing, managing and improving operating systems and processes with the aid of tools and techniques in decision sciences such as Data analysis, Optimization, Stochastic processes, Inventory theory, Game theory, Queuing Theory, Simulation, etc. The research issues addressed by faculty members are diverse and include developing new techniques in Statistical Process Control, Acceptance Sampling, etc. apart from advancing the theory and practice in the areas of OM and SCM with a focus on Service operations management (in diverse sectors such as health care, education), Process improvement (using Lean thinking, Six Sigma) and Logistics and Supply chain Management (with a focus on humanitarian supply chain, Reverse logistics, agro supply chains, etc.)