Tugba Efendigil
Clinical Assistant Professor, Operations and Technology Management
Tugba Efendigil is a Clinical Assistant Professor in the Operations & Technology Management department, specializing in the digital transformation of supply chains and circular supply chain domains. She specifically looks for better supply chain design aspects in forward and reverse flows to enable agile and resilient solutions for today’s dynamic business environment. She has published extensively in prestigious journals on leveraging technology and analytics to optimize supply chain operations.
Prior to BU, with a background as a research scientist at MIT and industry experience in start-ups, she brings a wealth of practical and academic expertise to her role. She taught undergraduate and graduate-level students and had research experiences in Turkey between 2012-2017. She holds MS, and Ph.D degrees in Industrial Engineering from Yildiz Technical University in Turkey and pursued postdoctoral research at Katholieke Universiteit Leuven in Belgium. She is a member of IEEE Technology and Engineering Management Society and Decision Science Institute.
Publications
Kharfan, M., Chan, V., Firdolas Efendigil, T. (2021). “A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches”, Annals of Operations Research, 303 (1-2), 159-174
Covert, D., Ortiz Millán, J., Efendigil, T. (2020). Dynamic Customer Service Levels: Evolving Safety Stock Requirements for Changing Business Needs.”Enterprise & Business Management A Handbook for Educators, Consultants, and Practitioners”, Tectum Verlag
Alp, N., Efendigil, T., Demir, O., Bilsel, K., Kalay, O., Karpat, F., Dogan, O., Akdag, G. (2020). “Angulated versus parallel headless cannulated screw fixation for type 1 capitellum fracture: A finite element study”, Annals of Medical Research, 27 (10), 2550-2550
Çetinsaya Özkir, V., Efendigil, T., Demirel, T., Çetin Demirel, N., Deveci, M., Topçu, B. (2015). “A three-stage methodology for initiating an effective management system for electronic waste in Turkey”, Resources, Conservation and Recycling, 96 61-70
Efendigil, T. (2014). “Modelling Product Returns in a Closed-Loop Supply Chain Under Uncertainties: A Neuro Fuzzy Approach”, JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 23 (3-4), 407-426
EFENDIGIL, T., OZKIR, V., DEMIREL, N., DEMIREL, T., ONDEMIR, O. (2012). A FRAMEWORK PROPOSAL UPON THE ESTIMATION OF ELECTRONIC-WASTE PRODUCTS IN ISTANBUL.”World Scientific Proceedings Series on Computer Engineering and Information Science”, WORLD SCIENTIFIC 1184-1189
Efendigil, T., Önüt, S. (2012). “An integration methodology based on fuzzy inference systems and neural approaches for multi-stage supply-chains”, Computers & Industrial Engineering, 62 (2), 554-569
Onut, S., Efendigil, T. (2010). “A theorical model design for ERP software selection process under the constraints of cost and quality: A fuzzy approach”, Journal of Intelligent & Fuzzy Systems, 21 (6), 365-378
Efendigil, T., Önüt, S., Kahraman, C. (2009). “A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis”, Expert Systems with Applications, 36 (3), 6697-6707
Efendigil, T., Önüt, S., Kongar, E. (2008). “A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness”, Computers & Industrial Engineering, 54 (2), 269-287