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Analysis and Optimization of Urban Energy Systems Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Job Shop Scheduling with Flexible Energy Prices and Time Windows

Authors : Andreas Bley, Andreas Linß

Published in: Operations Research Proceedings 2019

Publisher: Springer International Publishing

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Abstract

We consider a variant of the job shop scheduling problem, which considers different operational states of the machines (such as off, ramp up, setup, processing, standby and ramp down) and time-dependent energy prices and aims at minimizing the energy consumption of the machines. We propose an integer programming formulation that uses binary variables to explicitly describe the non-operational periods of the machines and present a branch-and-price approach for its solution. Our computational experiments show that this approach outperforms the natural time-indexed formulation.

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Metadata
Title
Job Shop Scheduling with Flexible Energy Prices and Time Windows
Authors
Andreas Bley
Andreas Linß
Copyright Year
2020
Book
Operations Research Proceedings 2019

Print ISBN: 978-3-030-48438-5

Electronic ISBN: 978-3-030-48439-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-48439-2_25

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