Kudret Demirli, PhD, PEng

Research Areas

Application of Lean and Operations Research tools to solve complex operations management problems in manufacturing, supply chain and healthcare.

Details:

Lean Manufacturing – Design of lean production flow in high-mix environments.

Sample projects:

• Design and simulation of a lean assembly plant for jet engines

• Design of a lean manufacturing and paint process for composite manufacturing of aerospace components

Lean Supply-Chain – Optimal design of supply chain networks and pull inventory replenishment strategies.

Sample projects:

• Design and optimization of a lean supply chain network for global distribution of petrochemical products.

• Design of a lean supply chain for managing spare parts in a PBL company.

Lean Healthcare – Design of lean patient flows in hospitals to reduce patient waiting times and improve hospital resource utilization.

Sample projects:

• Patient and operation scheduling in a radiology department to improve the treatment process;

• Lean patient flow design in an ENT clinic to improve the human and space resource utilization.

• Lean patient flow design and simulation in an HVI clinic to reduce patient waiting time.

A. Al Kaf*, RJayaraman, K. Demirli, M. C. E. Simsekler, H. Ghalib, D. Quraini and E. M.Tuzcu. (2023). A critical review of implementing lean and simulation to improve resource utilization and patient experience in outpatient clinics. The TQM Journal. 35(3): 734-758.

K. Demirli, A.Al Kaf*, M.C.E. Simsekler, R. Jayaraman, M.J. Khan, E.M. Tuzcu. (2021). Using Lean Techniques and Discrete-Event Simulation for Performance Improvement in an Outpatient Clinic. International Journal of Lean Six Sigma. 12(6): 1260-1288.

T. Yu*, K.Demirli and N. Bhuiyan. (2021). A Lean Transformation Framework for Treatment-oriented Outpatient Departments. International Journal of Production Research. 60(6): 1767–1781.

M. Alkaabi*, M.C.E.Simsekler, R. Jayaraman, A. Al Kaf, H. Ghalib, D. Quraini, S. Ellahham, E. M.Tuzcu, K. Demirli. (2020). Evaluation of System Modelling Techniques for Waste Identification in Lean Healthcare Applications. Risk Management and Healthcare Policy. 2020:13: 3235—3243.