Titlebook: Capacitated Planned Maintenance; Models, Optimization Torben Kuschel Book 2017 Springer International Publishing Switzerland 2017 planned m

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J. Maruani,Christian Minot,Stephen Wilson Weighted Uncapacitated Planned Maintenance Problem (WUPMP). This includes an introduction to computational complexity, linear and integer programming, Lagrangean relaxation and methods to solve the Lagrangean dual, Benders’ decomposition, local and tabu search and the Knapsack Problem.

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https://doi.org/10.1007/978-1-4899-0626-7oblem (WUPMP). The maintenance activities cover a set of periods before they must be executed again. The trade-off results from the cost structure. The strongly .-hard WUPMP has the single-assignment property and the polytope is quasi-integral. A generalized period covering constraint has an integra

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The History of Infertility Treatment require a maintenance time. This chapter presents specific heuristics because finding a feasible solution is already strongly .-complete. Three construction heuristics are presented and the obtained initial feasible solution is potentially improved by metaheuristics. Two Lagrangean heuristics are p

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New Trends in Reproductive Medicineem, an instance generation scheme and test-sets are presented. The evaluation includes the absolute strength of all relevant lower bounds obtained from Lagrangean relaxation, decomposition and by neglecting constraints completely. Pseudo-subgradient optimization solves the Lagrangean relaxation heur

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J. Maruani,Christian Minot,Stephen Wilson Weighted Uncapacitated Planned Maintenance Problem (WUPMP). This includes an introduction to computational complexity, linear and integer programming, Lagrangean relaxation and methods to solve the Lagrangean dual, Benders’ decomposition, local and tabu search and the Knapsack Problem.

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Computations for the Capacitated Planned Maintenance Problem,bounds in the first seconds and find a good solution. The tabu search heuristic slowly but constantly improves the upper bound and outperforms the Lagrangean heuristics when the capacity availability is low.