Supply Chain Management in a Carbon Economy
Emre Berk
Faculty of Business Administration, Bilkent University

Abstract
The detrimental effects of carbon emissions have resulted in many governments imposing certain regulatory schemes –carbon taxation, carbon caps and trade-able carbon permits. These mechanisms have created a carbon economy. More and more, managers need to consider carbon emissions (or lack thereof, a trade-able commodity) as a byproduct of their production activities and modify their decisions accordingly. In this talk, I shall be presenting our findings in a stream of research on supply chain management in carbon markets.

I will start with forecasting of price dynamics in carbon markets and move on to a set of interrelated research work investigating optimal policies of production and input usages for manufacturers with multiple inputs or suppliers. Using the basic newsvendor setting as a building block, I share our findings on impact of carbon pricing mechanisms on emission reduction efforts, supplier selection, technology selection and improvement decisions, carbon trading, risk attitudes of decision-makers, customer sensitivities to carbon emissions of products and production planning. The findings in many cases will be supported by real-life examples.

Short Bio
Emre Berk has received his BS in Mechanical Engineering in Bogazici University, MS in Mechanical Engineering in Washington State University and MBA in University of Washington, where he also received his PhD in Operations Management. He has joined Bilkent University upon receiving his doctoral degree and is currently an associate professor there. He is also currently serving as the Associate Dean of the Faculty of Business Administration.

His research is on value- and supply-chain management, and has been funded by the NSF and TUBITAK. His publications have appeared in Management Science, Operations Research, European Journal of Operational Research, IIE Transactions, Naval Research Logistics, International Journal of Production Economy and Applied Stochastic Models in Business and Industry.

Venue
Friday, April 19, 2019 at 4.00 pm in IE03