Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications-Reference-Cited by-同舟云学术

Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications

Published:2018-03 Issue:2 Volume:57 Page:411-432
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Dolgui Alexandre¹^ORCID,Ivanov Dmitry²^ORCID,Sethi Suresh P.³^ORCID,Sokolov Boris⁴

Affiliation:

1. Automation, Production and Computer Sciences Dept., IMT Atlantique LS2N – CNRS UMR 6004 La Chantrerie , Nantes, France

2. Department of Business Administration, Berlin School of Economics and Law , Berlin, Germany

3. Eugene McDermott Chair, Center for Intelligent Supply Networks (C4iSN), Naveen Jindal School of Management, Mail Station SM30, The University of Texas at Dallas , Richardson, TX, USA

4. Saint Petersburg Institute for Informatics and Automation of the RAS (SPIIRAS) , St. Petersburg, Russia

Funder

Russian Science Foundation

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1442948

Reference81 articles.

1. Mathematical Theory of Control Systems Design

2. A Bayesian approach to the optimal control of continuous industrial processes

3. The planning of a manufacturing system: a dynamic model

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