@article{1470196,
      recid = {1470196},
      author = {Biçer, Işık,},
      title = {Supply chain analytics : an uncertainty modeling approach  /},
      pages = {1 online resource (xiv, 314 pages) :},
      abstract = {This textbook offers a detailed account of analytical  models used to solve complex supply chain problems. It  introduces a unique risk analysis framework that helps the  reader understand the sources of uncertainties and use  appropriate models to improve decisions in supply chains.  This framework illustrates the complete supply chain for a  product and demonstrates the supply chain's exposure to  demand, supply, inventory, and financial risks. Step by  step, this book provides a detailed examination of  analytical methods that optimize operational decisions  under different types of uncertainty. It discusses  stochastic inventory models, introduces uncertainty  modeling methods, and explains methods for managing  uncertainty. To help readers deepen their understanding, it  includes access to various supplementary material including  an online interactive tool in Python. This book is intended  for undergraduate and graduate students of supply chain  management with a focus on supply chain analytics. It also  prepares practitioners to make better decisions in this  field.},
      url = {http://library.usi.edu/record/1470196},
      doi = {https://doi.org/10.1007/978-3-031-30347-0},
}