FACULTY MEMBERS

 
 

 

Nesim K. Erkip

Professor

Personal Page: http://www.bilkent.edu.tr/~nesim

E-mail:

Phone : +90 (312) 290-1032

Fax : +90 (312) 266-4054

Office: EA 318


Academic Degrees

  • Ph.D., 1984, Stanford University

  • M.S, 1981, Stanford University

  • B.S., 1979 Middle East Technical University


Research Interests

  • Multi-echelon Inventory Systems

  • Supply Chain Management

  • Inventory Theory and Production Planning


Sample Publications

  • Tan, T., Gullu, R. and Erkip, N., “Modelling Imperfect Advance Demand Information and Analysis of Optimal inventory”, EJOR, Volume: 177, pp. 897-923, 2007.

  • Bayindir P., Erkip, N. and Gullu, R.,Assessing the benefits of remanufacturing option under one-way substitution and capacity constraint”, Computers & Operations Research, Volume 34, Issue 2, Pages 487-514, 2007.

  • Gullu, R., Houtum, G.J.J.A.N. van, Alisan, Z. and Erkip, N., “Analysis of a decentralized supply chain under partial cooperation”, Manufacturing and Service Operations Management, Vol. 7, No: 3, pp. 229-247, 2005.

  • Bayindir P., Erkip, N. and Gullu, R., “Assessing the benefits of remanufacturing option under one-way substitution”, Journal of Operational Research Society, Vol. 56, No. 3, pp. 286-296, 2005.

  • Alp O., Erkip, N. and Gullu, R., “Optimal Lot Sizing/Vehicle Dispatching Policies under Stochastic Lead Times and Stepwise Fixed Costs”, Operations Research, Volume: 51, No: 1, pp. 160-166, 2003.

  • Alp O., Erkip, N. and Gullu, R., “Outsourcing Logistics: Designing Transportation Contracts Between a Manufacturer and a Transporter”, Transportation Science, Volume: 37, No: 1, pp. 23-39, 2003.

  • Bayindir P., Erkip, N. and Gullu, R., “A Model to Evaluate Inventory Costs in a Remanufacturing Environment”, International Journal of Production Economies, Volume: 81-82, pp. 597-607, 2003.

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Courses Taught

  • IE 325 Stochastic Models

  • IE 375 Production Planning and Control

  • IE 461 Supply Chain Management

  • IE 571 Analytical Models for Supply Chain Management

     


Theses Supervised

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