5 research outputs found

    TOOLS AND TECHNIQUES FOR SUPPORTING REVERSE LOGISTICS OPTIMIZATION: METHODOLOGY, CASE STUDY AND PROJECT PROPOSAL

    No full text
    The following research documentation focuses on building a network for reverse logistics of products that are taken back for disassembly and retrieval of reausable componets for manufacturing. The gol is to achieve optimization between the costs and the clustering. The paper outline also an innovative approach designed to support the estabilishment of a new socio-economical vision able to reduce produce manprin

    TOOLS AND TECHNIQUES FOR SUPPORTING REVERSE LOGISTICS OPTIMIZATION: METHODOLOGY, CASE STUDY AND PROJECT PROPOSAL

    No full text
    The following research documentation focuses on building a network for reverse logistics of products that are taken back for disassembly and retrieval of reausable componets for manufacturing. The gol is to achieve optimization between the costs and the clustering. The paper outline also an innovative approach designed to support the estabilishment of a new socio-economical vision able to reduce produce manprin

    Tools and Techniques for Supporting Reverse Logistics Optimization: Methodology, Case Study and Project Proposal

    No full text
    Abstract-The following research documentation focuses on building a network for reverse logistics of products that are taken back for disassembly and retrieval of reusable components for remanufacturing. The goal is to achieve optimization between the costs and the clustering. The paper outline also an innovative approach designed to support the establishment of a new socio-economical vision able to reduce products manprint

    Integrate Clustering and Mathematical Programming for Supporting Reverse Logistics Optimization: Methodology and Case Study

    No full text
    The following research documentation focuses on building a network for reverse logistics of products that are taken back for disassembly and retrieval of reusable components for remanufacturing. The goal is to achieve optimization between the costs and the clustering
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