Applications of Management Science Applications of Management Science

Applications of Management Science

Volume 17

    • US$104.99
    • US$104.99

출판사 설명

The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision making problems. We hope that this research annual will significantly aid in the dissemination of actual applications of management science in both the public and private sectors. Topics will include: applied management science studies in finance, management, operations, supply chain and productivity. Applications of Management Science is critical reading for those academics, researchers, and practitioners of management science to the solution of significant managerial decision making problems in both the public and the private sectors.

장르
비즈니스 및 개인 금융
출시일
2015년
4월 2일
언어
EN
영어
길이
232
페이지
출판사
Emerald Group Publishing Limited
판매자
Gardners Books Ltd
크기
3.2
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Applications of Management Science Applications of Management Science
2013년
Multiple Criteria Decision Making and Aiding Multiple Criteria Decision Making and Aiding
2018년
Africa Case Studies in Operations Research Africa Case Studies in Operations Research
2022년
Data Science and Productivity Analytics Data Science and Productivity Analytics
2020년
City, Society, and Digital Transformation City, Society, and Digital Transformation
2022년
Quantitative Modelling In Marketing And Management (Second Edition) Quantitative Modelling In Marketing And Management (Second Edition)
2015년
The Supply Chain in Manufacturing, Distribution, and Transportation The Supply Chain in Manufacturing, Distribution, and Transportation
2010년
Advances in Business and Management Forecasting Advances in Business and Management Forecasting
2021년
Applications of Management Science Applications of Management Science
2020년
Applications of Management Science Applications of Management Science
2022년
Advances in Business and Management Forecasting Advances in Business and Management Forecasting
2016년
Robust Regression Robust Regression
2019년