Optimization and Inventory Management

,

Éditeur :

Springer

Paru le : 2019-08-31

This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real in...
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À propos


Éditeur

Collection
n.c

Parution
2019-08-31

Pages
470 pages

EAN papier
9789811396977

Auteur(s) du livre


Nita N. Shah is a Professor at the Department of Mathematics, Gujarat University, Ahmedabad, India. Her primary research interest is in operations research, in particular modelling real-life problems. She has 12 books and more than 475 articles in respected international journals to her credit. In addition, she is currently serving on the editorial boards of the journals Revista Investigacion Operacional (Universidad de La Habana, Cuba), Journal of Social Science and Management, International Journal of Industrial Engineering and Computations, and Mathematics Today. Mandeep Mittal is an Assistant Professor at the Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India. After completing his Master’s in Applied Mathematics at the Indian Institute of Technology (IIT) Roorkee, he obtained his Ph.D. from the University of Delhi, India. He subsequently completed his postdoctoral research at Hanyang University, South Korea. He has one book and more than 50 papers in international journals and conference proceedings to his credit. He received the Best Faculty Award from Amity School of Engineering and Technology, New Delhi, for the year 2016–2017. In addition, he is currently serving on the editorial boards of the journals Revista Investigacion Operacional, Journal of Control and Systems Engineering, and Journal of Advances in Management Sciences and Information Systems. 

Caractéristiques détaillées - droits

EAN PDF
9789811396984
Prix
94,94 €
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
10394 Ko
EAN EPUB
9789811396984
Prix
94,94 €
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
33567 Ko

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