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Neumann et al., 2017 - Google Patents

Simulating operator learning during production ramp-up in parallel vs. serial flow production

Neumann et al., 2017

Document ID
1371137167487519409
Author
Neumann W
Medbo P
Publication year
Publication venue
International Journal of Production Research

External Links

Snippet

The aim of this research is to demonstrate how human learning models can be integrated into discrete event simulation to examine ramp-up time differences between serial and parallel flow production strategies. The experimental model examined three levels of …
Continue reading at www.tandfonline.com (other versions)

Classifications

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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/0633—Workflow analysis
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    • G06Q10/00—Administration; Management
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06Q50/20—Education

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