About Us
Grad Studies
MACC Researchers
Pulkit Mathur Pulkit Mathur
Ph.D. Candidate
Supervised by Dr. Chris L.E. Swartz

Start date
September 2015


M Tech, Chemical Engineering, IIT Delhi, India (2012-2014)
B Tech, Chemical Engineering, SVNIT, Surat, India (2008-2012)

Work Experience
Research Associate, IIT Delhi, India (July 2014 April 2015)

Research Title
Optimization-based Frameworks for Planning and Scheduling under Uncertainty

Research Objectives
The success of modern enterprises across industrial and service sectors around the globe greatly depends on the effective allocation and efficient utilization of different types of available resources for the various constituent business and process operations involving their transformation to useful products and services and their timely deliveries for use by a variety of customers across market segments. The major challenges faced by these modern enterprises include providing a variety of products and services to different customers at the minimum possible costs in view of the increased global competition, tackling their rapidly varying demands and prices across application sectors, handling greater pressures from regulatory measures by various pertinent agencies and managing the uncertainty and risk resulting from these ever changing conditions. Planning and scheduling deal with the effective allocation of available resources over time to a set of business and process operations to ensure the supply of products and services to customers in an efficient manner in terms of various performance metrics. This motivates the need for development of novel optimization-based frameworks for planning and scheduling with the systematic and explicit consideration of different sources of both continuous and discrete realizations of uncertainty from foreseeable as well as unexpected events.

The main objective of our research work is to independently develop and implement such optimization-based frameworks for planning and scheduling under uncertainty with current focus on operational planning in integrated steel mills in the steel industry and short-term scheduling of hydroelectric opower generation systems in the renewable energy sector.

MACC Publications

    Other Publications

    • Shaik, M.A. and Mathur, P. Integration of Scheduling and Vessel Routing in Pipeless Plants, 12th PSE and 25th ESCAPE Joint International Conference, 31 May - 4 Jun, 2015, Copenhagen, Denmark. [Computer Aided Chemical Engineering, 37, 2015, 1925 - 1930.]
    • Shaik, M.A. and Mathur, P. Unit-Specific Event based Model for Scheduling of Pipeless Plants, International Conference on Chemical and Bioprocess Engineering (ICCBPE), 2013, Warangal, India.

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