Introduction to Mathematical Models in Operations Planning

This book aims to provide the readers with methodologies, and reviews trends and issues in forecasting in production planning. Furthermore, it presents machine learning methods used in time series forecasting.

Dr. Halit Alper Tayali is an assistant professor at Istanbul University’s Business School, where he lectures on a diverse range of topics related to production. His primary research focuses on mathematical modeling and decision support systems for increasing productivity. He serves as an associate editor for Istanbul Business Research, an ESCI-indexed journal.

He began his academic career at The American Robert College, Istanbul, from where he graduated in 2000 with a degree in science and mathematics. He then studied business administration at Koç University’s College of Administrative Sciences and Economics. He acquired practical experience working in his family business during this time. In 2009, he began his graduate studies in production at Istanbul University’s School of Business. Thanks to an Erasmus scholarship from the European Union, he spent a semester at ESC Rennes broadening his academic and cultural horizons. He joined the Production Department of Istanbul Business School as an academic in 2012 and went on to earn a philosophy of doctorate degree in quantitative methods in business in 2016. He also cofounded a startup in software development with fiscal support from the Scientific and Technological Research Council of Türkiye.