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          <dc:title xsi:type="ddb:titleISO639-2" lang="eng">Integrated Scheduling and Material Handling: Theory and Applications in Manufacturing Systems</dc:title>
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                <pc:foreName>Amir</pc:foreName>
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The thesis develops this objective in three steps. First, it provides a structured and unified classification of scheduling problems with transportation elements, organizing a fragmented body of literature and clarifying methodological foundations. Second, it studies scheduling in AGV-based material handling systems under battery constraints, proposing a novel mixed-integer programming formulation and an exact solution approach based on logic-based Benders decomposition. Third, it extends integrated models to a buffer-constrained flow shop setting with mobile buffering, introducing a decomposition-based algorithm that significantly improves scalability.&#13;
Together, these contributions advance conceptual understanding, modeling frameworks, and exact solution methods for integrated production and internal logistics planning in modern manufacturing systems.</dcterms:abstract>
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