Fr. 158.00

Proceedings of the Fifth International Forum on Decision Sciences

English · Paperback / Softback

Shipping usually within 6 to 7 weeks

Description

Read more

The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications. It presents some compelling and valuable results on the cutting-edge modeling methods and the practical case studies in the operations management process for power, transportation, and logistics companies.

Summary

The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications. It presents some compelling and valuable results on the cutting-edge modeling methods and the practical case studies in the operations management process for power, transportation, and logistics companies.

Product details

Assisted by Xian Li (Editor), Xiang Li (Editor), Xu (Editor), Xu (Editor), Xiaofeng Xu (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 31.05.2019
 
EAN 9789811340055
ISBN 978-981-1340-05-5
No. of pages 319
Dimensions 155 mm x 17 mm x 235 mm
Weight 504 g
Illustrations VII, 319 p. 48 illus., 33 illus. in color.
Series Uncertainty and Operations Research
Uncertainty and Operations Res
Subjects Social sciences, law, business > Business > General, dictionaries

Operations Research, C, Business and Management, Operations Management, Operations Research/Decision Theory, Operations Research and Decision Theory, Logistics, Management decision making, Management science, Decision Making, Distribution & logistics management, Business logistics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.