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        <identifier>oai:figshare.com:article/33660195</identifier>
        <datestamp>2026-09-12T10:25:44Z</datestamp>
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          <dc:title>A multi-objective constraint programming–satisfiability model for non-unit repetitive construction scheduling</dc:title>
          <dc:creator>Luong Duc Long (24829629)</dc:creator>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Cardiology</dc:subject>
          <dc:subject>Construction scheduling</dc:subject>
          <dc:subject>CP-SAT</dc:subject>
          <dc:subject>non-unit repetitive construction projects</dc:subject>
          <dc:subject>multi-objective optimization</dc:subject>
          <dc:subject>soft and hard sequencing requirements</dc:subject>
          <dc:description>&lt;p&gt;Non-unit repetitive construction projects, in which activity groups are repeatedly executed over work-group-specific units rather than over a common set of identical production units, are difficult to schedule because activity sequences, crew movements, and execution logic vary across crew options. This study develops a multi-objective Constraint Programming–Satisfiability (CP-SAT) model for non-unit repetitive construction scheduling. The model integrates crew–option selection, interval-based scheduling, route-based crew logic, transfer-dependent travel times, optional interruption, and sequence control within a unified framework. Both soft and hard sequencing requirements are represented: soft sequences emerge from optimized crew routes, while hard sequences can enforce prescribed order, same-crew execution, and immediate-successor relationships when required. An exact ε-constraint procedure is used for the bi-objective time-cost case, while sampled frontier generation supports higher-dimensional trade-off analysis. From a practical perspective, the framework helps project managers compare feasible scheduling alternatives and balance competing priorities related to project deadlines, budget, construction quality, and crew continuity. The proposed model therefore provides a rigorous and practical decision-support framework for complex non-unit repetitive construction projects.&lt;/p&gt; &lt;p&gt;&lt;/p&gt;&lt;p&gt;CP-SAT model for non-unit repetitive scheduling.&lt;/p&gt;&lt;p&gt;Soft and hard sequencing are modeled explicitly.&lt;/p&gt;&lt;p&gt;Crew routes, travel, and interruption are jointly captured.&lt;/p&gt;&lt;p&gt;Duration, cost, quality, and interruption are optimized.&lt;/p&gt;&lt;p&gt;Exact and sampled Pareto strategies are distinguished.&lt;/p&gt;&lt;p&gt;&lt;/p&gt; &lt;p&gt;CP-SAT model for non-unit repetitive scheduling.&lt;/p&gt; &lt;p&gt;Soft and hard sequencing are modeled explicitly.&lt;/p&gt; &lt;p&gt;Crew routes, travel, and interruption are jointly captured.&lt;/p&gt; &lt;p&gt;Duration, cost, quality, and interruption are optimized.&lt;/p&gt; &lt;p&gt;Exact and sampled Pareto strategies are distinguished.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-12T10:25:44Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33660195.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/A_multi-objective_constraint_programming_satisfiability_model_for_non-unit_repetitive_construction_scheduling/33660195</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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