@inbook{332b9d9975ef41fe91eb2018f610dcc6,
title = "Fuzzy multi-project rough-cut capacity planning",
abstract = "This chapter studies the incorporation of uncertainty into multi-project rough-cut capacity planning. We use fuzzy sets to model uncertainties, adhering to the so-called possibilistic approach. We refer to the resulting proactive planning environment as Fuzzy Rough Cut Capacity Planning (FRCCP). Uncertain workloads are modeled as fuzzy numbers, and a Simulated Annealing (SA) procedure is proposed to solve the underlying optimization problem. The performance of the SA algorithm is studied in comparison to an existing deterministic Branch&Price algorithm and to an LP-based heuristic, which are both generalized to handle fuzzy parameters. Computational experiments are performed on instances from a shipyard maintenance centre, in which we examine the computational performance of the algorithms and we also study to what extent multi-objective optimization techniques can be applied.",
keywords = "METIS-297231, IR-86956",
author = "Malek Masmoudi and Hans, {Elias W.} and Roel Leus and Alain Hait",
year = "2014",
language = "English",
isbn = "978-1-61209-579-0",
publisher = "Nova Science",
pages = "--",
editor = "Sotskov, {Yuri N.} and Frank Werner",
booktitle = "Sequencing and scheduling with inaccurate",
address = "United States",
}