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Effects of group size and learning on manual assembly performance: an experimental study
TLDR
We study experimentally the effects of group size (one to four workers) and learning (up to four repetitions per group) on the performance of product assembly. Expand
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Designing Manufacturing Dashboards on the Basis of a Key Performance Indicator Survey
Abstract Target-oriented and real-time information provisioning across all hierarchy levels, from shop floor to top floor, is an important success factory for manufacturing companies to facilitateExpand
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Worker allocation in make-to-order assembly cells
Assembly in the make-to-order manufacturing of large variable products is usually organized as a cell in which a team of workers operates. Several products are assembled in parallel and in sequence,Expand
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Determination of material model parameters from orthogonal cutting experiments
Flow stress models in finite element analysis of metal cutting require material parameters that are essential considering the accuracy of the simulations. This article presents a method to acquireExpand
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Elintarvikkeiden ja talousveden kemialliset vaarat
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Lean manufacturing methods in simulation literature: Review and association analysis
TLDR
The lean manufacturing philosophy includes several methods that aim to remove waste from production. Expand
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How Lean transformation affects scheduling
The Lean paradigm transforms a production company from utilisation-centric planning into a system in which other operating conditions such as short flow times, local control, reduction in variation,Expand
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Worker coordination policies in parallel station systems: performance models for a set of jobs and for continuous arrival of jobs
Varying workloads and uncertain processing times in parallel assembly cause idle times for skilled, high-cost workers. This idleness can be avoided and the utilisation of the workers improved byExpand
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Using FEM simulations of cutting for evaluating the performance of different johnson cook parameter sets acquired with inverse methods
Abstract Material model parameters are the primary source of error in the finite element analysis (FEM) of cutting processes. Expensive and time consuming material testing is required in order toExpand
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