OPM/IS 910 Prof. Dr. Barış Tan – Koç University, Istanbul, Türkei


Prof. Dr. Barış Tan

O 142

im Rahmen des CDSB Research Seminars freuen wir uns, Herrn Prof. Dr. Barış Tan von der Koç University bei uns begrüßen zu dürfen.

Am Mittwoch, den 15.11. hat Herr Prof. Dr. Raik Stolletz ihn eingeladen von 12:30 bis 13:30 Uhr einen Vortrag zum Thema „Production and Energy Mode Control of Production Systems“ zu halten.


Increasing energy efficiency in manufacturing has significant environmental and cost benefits.  Turning on or off a machine dynamically while considering the production rate requirements can offer significant energy savings.  Motivated by a project that aims at controlling the paint oven of an automotive producer to save energy, we investigate the optimal energy mode and production control policies to turn on and off a machine that operates in Working, Off, Idle, and Warmup energy modes with stochastic inter-arrival, production, and warmup times.  The solution of the optimal control problem that minimizes the expected costs associated with energy usage in different energy modes and the costs associated with producing early or late according to the desired production rate in the long run is determined by analyzing the underlying Markov Decision Process.  We show that when the inter-arrival time distribution is exponential, the optimal policy depends on the inventory position, leading to a buffer-based policy.  The optimality of this policy is proven under heavy traffic.  However, when the interarrival time is not exponential, the optimal policy depends on the inventory position and the current phase of the inter-arrival time.  The phase-dependent policy can be implemented by predicting the current phase using the time elapsed since the last arrival.  As a result, the optimal energy mode and production control policy is buffer- and time-based.  We present a matrix-geometric method to evaluate the system's performance operating with the optimal control policy.  We show that policies that only use the inventory position information can be effective if the control parameters are chosen appropriately.  However, the control policies that use inventory and time information further improve the performance.  In conclusion, data-driven energy mode control yields manufacturers significant environmental and cost benefits.

Speaker Bio

Barış Tan is a Professor of Operations Management and Industrial Engineering at Koç University, Istanbul, Turkey.  His areas of expertise are in design and control of production systems, supply chain management, stochastic modelling, and business model innovation.

He received a BS degree in Electrical&Electronics Engineering from Bogazici University, an ME in Industrial and Systems Engineering, an MSE in Manufacturing Systems, and a Ph.D. in Operations Research from the University of Florida. He has been working at Koç University since 1994. He previously served as Vice President for Academic Affairs, Dean of College of Administrative Sciences and Economics, and the Director of the Graduate School of Business. He held visiting positions at Harvard University – Division of Engineering and Applied Sciences, MIT – Operations Research Center, MIT – Laboratory for Manufacturing and Productivity, University of Cambridge – Judge Business School, University College London – School of Management, and Politecnico di Milano – Manufacturing and Production Systems.