Aggregate planning : strategies, models, and analysis / Seyyed Amir Babak Rasmi, Metin Türkay.
Rasmi, Seyyed Amir Babak, author.; Türkay, Metin, author.
2021
HD30.28
Available Online

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Title Aggregate planning : strategies, models, and analysis / Seyyed Amir Babak Rasmi, Metin Türkay.
Author Rasmi, Seyyed Amir Babak, author.
ISBN 9783030581183 (electronic bk.)
3030581187 (electronic bk.)
9783030581176 (print)
3030581179 (print)
DOI https://doi.org/10.1007/978-3-030-58118-3
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource (xii, 56 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-030-58118-3 doi
Call Number HD30.28
Dewey Decimal Classification 658.4/012
Summary "This book helps readers understand the main issues, challenges, strategies, and solution methods in Aggregate Planning (AP), an important part of Supply Chain Management. The design of the book supports readers in the fields of engineering and management to learn practical knowledge about AP in a short look. Moreover, it delivers materials that consider multiple criteria in an AP model that is also required in sustainable developments. In spite of the simple structure of the book, it approaches more complicated mathematical models with single/multiple objective functions to include more practical decisions in AP. It addresses those issues without increasing the complexity of the book to keep it useful for practitioners."--ProQuest website.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from resource home page (ProQuest Ebook Central, viewed March 11, 2021).
Added Author Türkay, Metin, author.
Series SpringerBriefs in operations research.
Available in Other Form Aggregate Planning
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction to aggregate planning and strategies
Mathematical models for aggregate planning
Solution methods for aggregate planning problems using Python
Analysis and conclusions.

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