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<dc:title>The unbounded parallel-batch scheduling with rejection</dc:title>
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<dc:creator>L Q Zhang</dc:creator>
<dc:creator>L F Lu</dc:creator>
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<dc:title>Efficiency and returns-to-scale of local governments</dc:title>
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<dc:subject>input–output table</dc:subject>
<dc:creator>H Amatatsu</dc:creator>
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<dc:creator>Y Amatatsu</dc:creator>
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<dc:title>A time-dependent proportional hazards survival model for credit risk analysis</dc:title>
<dc:subject>risk: predicting consumer credit risk</dc:subject>
<dc:subject>failure models: survival analysis for credit risk modelling</dc:subject>
<dc:subject>data analysis: estimating survival models</dc:subject>
<dc:creator>J-K Im</dc:creator>
<dc:creator>D W Apley</dc:creator>
<dc:creator>C Qi</dc:creator>
<dc:creator>X Shan</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.34</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 306 (March 2012)</dc:source>
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<dc:title>Pairwise opposite matrix and its cognitive prioritization operators: comparisons with pairwise reciprocal matrix and analytic prioritization operators</dc:title>
<dc:subject>decision analysis</dc:subject>
<dc:subject>utility theory</dc:subject>
<dc:subject>analytic hierarchy/network process (AHP/ANP)</dc:subject>
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<dc:creator>K K F Yuen</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.33</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 322 (March 2012)</dc:source>
<dc:date>May 18, 2011</dc:date>
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<dc:title>Implementation of Lean Six Sigma in small- and medium-sized manufacturing enterprises in the Netherlands</dc:title>
<dc:subject>Lean Six Sigma</dc:subject>
<dc:subject>manufacturing/engineering SME</dc:subject>
<dc:subject>critical success factors</dc:subject>
<dc:subject>impeding factors</dc:subject>
<dc:creator>W Timans</dc:creator>
<dc:creator>J Antony</dc:creator>
<dc:creator>K Ahaus</dc:creator>
<dc:creator>R van Solingen</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.47</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 339 (March 2012)</dc:source>
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<dc:title>The optimal quantity discount that a supplier should offer</dc:title>
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<dc:subject>game theory</dc:subject>
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<dc:creator>G Y Ke</dc:creator>
<dc:creator>J H Bookbinder</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.35</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 354 (March 2012)</dc:source>
<dc:date>June 1, 2011</dc:date>
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<dc:title>An evolutionary approach for tuning parametric Esau and Williams heuristics</dc:title>
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<dc:creator>M Battarra</dc:creator>
<dc:creator>T Öncan</dc:creator>
<dc:creator>I K Altınel</dc:creator>
<dc:creator>B Golden</dc:creator>
<dc:creator>D Vigo</dc:creator>
<dc:creator>E Phillips</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.36</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 368 (March 2012)</dc:source>
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<dc:title>Solving an optimization packing problem of circles and non-convex polygons with rotations into a multiply connected region</dc:title>
<dc:subject>cutting stock problem</dc:subject>
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<dc:subject>non-linear programming</dc:subject>
<dc:creator>Y G Stoyan</dc:creator>
<dc:creator>M V Zlotnik</dc:creator>
<dc:creator>A M Chugay</dc:creator>
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<dc:source>Journal of the Operational Research Society 63, 379 (March 2012)</dc:source>
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<title>An empirical study of hyperheuristics for managing very large sets of low level heuristics</title>
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<dc:title>An empirical study of hyperheuristics for managing very large sets of low level heuristics</dc:title>
<dc:subject>computational analysis</dc:subject>
<dc:subject>heuristics</dc:subject>
<dc:subject>hyperheuristics</dc:subject>
<dc:subject>machine learning</dc:subject>
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<dc:subject>scheduling</dc:subject>
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<dc:creator>S Remde</dc:creator>
<dc:creator>P Cowling</dc:creator>
<dc:creator>K Dahal</dc:creator>
<dc:creator>N Colledge</dc:creator>
<dc:creator>E Selensky</dc:creator>
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<dc:source>Journal of the Operational Research Society 63, 392 (March 2012)</dc:source>
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<dc:title>Adjusted spherical frontier model: allocating input via parametric DEA</dc:title>
<dc:subject>DEA</dc:subject>
<dc:subject>parametric DEA</dc:subject>
<dc:subject>input allocation</dc:subject>
<dc:subject>fixed cost allocation</dc:subject>
<dc:creator>E C C Guedes</dc:creator>
<dc:creator>A Z Milioni</dc:creator>
<dc:creator>J V G de Avellar</dc:creator>
<dc:creator>R C Silva</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.42</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 406 (March 2012)</dc:source>
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<title>Using the Viable Systems Model to examine multi-agency arrangements for combatting transnational organised crime</title>
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<dc:title>Using the Viable Systems Model to examine multi-agency arrangements for combatting transnational organised crime</dc:title>
<dc:subject>cybernetics</dc:subject>
<dc:subject>management</dc:subject>
<dc:subject>modelling</dc:subject>
<dc:subject>viable systems</dc:subject>
<dc:subject>policing</dc:subject>
<dc:creator>J Brocklesby</dc:creator>
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<dc:identifier>doi:10.1057/jors.2011.43</dc:identifier>
<dc:source>Journal of the Operational Research Society 63, 418 (March 2012)</dc:source>
<dc:date>June 8, 2011</dc:date>
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