Search Results - "Punkka, Antti"

An approach for bi-objective maintenance scheduling on a networked system with limited resources by Urbani, Michele, Brunelli, Matteo, Punkka, Antti

“…•A bi-objective maintenance model for networked systems is proposed.•The objectives are the total flow through the system and maintenance costs.•Grouping…”
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Guest editorial to the special issue of the 32nd European Conference on Operational Research in Espoo (Finland) by Punkka, Antti, Romero Morales, Dolores

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An optimization model for determining cost-efficient maintenance policies for multi-component systems with economic and structural dependencies by Leppinen, Jussi, Punkka, Antti, Ekholm, Tommi, Salo, Ahti

“…In most multi-component systems, the cost-efficiency of maintenance policies depends on technical structural dependencies. Motivated by the recognition that…”
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Baseline value specification and sensitivity analysis in multiattribute project portfolio selection by Liesiö, Juuso, Punkka, Antti

“…•We consider the baseline value parameter in multiattribute project portfolio models.•We develop novel methods for baseline value specification.•We develop…”
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Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis by Salo, Ahti, Punkka, Antti

“…We develop comparative results for ratio-based efficiency analysis (REA) based on the decision-making units' (DMUs') relative efficiencies over sets of…”
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Preference Programming with incomplete ordinal information by Punkka, Antti, Salo, Ahti

“…•Ordinal preference statements are arguably more reliable than numerical evaluations.•We develop a framework which admits incomplete ordinal preference…”
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Ranking intervals and dominance relations for ratio-based efficiency analysis by Salo, Ahti, Punkka, Antti

“…We develop comparative results for ratio-based efficiency analysis (REA) based on the decision-making units' (DMUs') relative efficiencies over sets of…”
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Rank inclusion in criteria hierarchies by Salo, Ahti, Punkka, Antti

“…This paper presents a method called Rank Inclusion in Criteria Hierarchies (RICH) for the analysis of incomplete preference information in hierarchical…”
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