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Solution Methods for Aggregate Planning Problems Using Python

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Aggregate Planning

Part of the book series: SpringerBriefs in Operations Research ((BRIEFSOPERAT))

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Abstract

There are several programming languages that can be used for solving the models presented in the previous chapter. For single objective optimization models such as BM1 and BM2, we use the Pulp optimzer in Python; for the sustainable aggregate planning problem, a scalarization technique is implemented in Python to generate a large number of non-dominated points.

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References

  1. Ehrgott M (2005) Multicriteria optimization, vol 491. Springer, Berlin

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Authors and Affiliations

  1. Department of Industrial Systems, Engineering and Management, National University of Singapore, singapore, Singapore

    Seyyed Amir Babak Rasmi

  2. Department of Industrial Engineering, Koç University, Istanbul, Turkey

    Metin Türkay

Authors
  1. Seyyed Amir Babak Rasmi
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  2. Metin Türkay
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Rasmi, S.A.B., Türkay, M. (2021). Solution Methods for Aggregate Planning Problems Using Python. In: Aggregate Planning. SpringerBriefs in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-030-58118-3_3

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