Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system
被引:3
作者:
Rocha, Eugenio M.
论文数: 0引用数: 0
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机构:
Univ Aveiro, Dept Math, P-3810193 Aveiro, Portugal
Ctr Res & Dev Math & Applicat CIDMA, P-3810193 Aveiro, PortugalUniv Aveiro, Dept Math, P-3810193 Aveiro, Portugal
Rocha, Eugenio M.
[1
,2
]
Brochado, Angela F.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Aveiro, Dept Econ Management Ind Engn & Tourism, P-3810193 Aveiro, PortugalUniv Aveiro, Dept Math, P-3810193 Aveiro, Portugal
Brochado, Angela F.
[3
]
Moura, Ana
论文数: 0引用数: 0
h-index: 0
机构:
Univ Aveiro, Dept Econ Management Ind Engn & Tourism, P-3810193 Aveiro, Portugal
Syst Decis Support Res Grp GOVCOPP, P-3810193 Aveiro, PortugalUniv Aveiro, Dept Math, P-3810193 Aveiro, Portugal
Moura, Ana
[3
,4
]
机构:
[1] Univ Aveiro, Dept Math, P-3810193 Aveiro, Portugal
[2] Ctr Res & Dev Math & Applicat CIDMA, P-3810193 Aveiro, Portugal
[3] Univ Aveiro, Dept Econ Management Ind Engn & Tourism, P-3810193 Aveiro, Portugal
[4] Syst Decis Support Res Grp GOVCOPP, P-3810193 Aveiro, Portugal
来源:
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
|
2022年
/
200卷
The human factor plays a relevant role in all manual or partially automatic production systems, specially, the ones showing reliable and balanced dynamics. In the literature, parametric or survey-based models are quite common for performance evaluation of production workers. In this work, multi-directional efficiency analysis is used instead, for root cause analysis of product reworks and bottlenecks occurrence, according to four worker-related parameters: experience time, wage, delay time and response time. The approach allows to identify individual inefficiencies per tuple worker/working shift and to cluster them according to similar inefficiency parameters. In addition, this work opens a path to new applications of multi-directional efficiency analysis to problems in the manufacturing industry. (C) 2022 The Authors. Published by Elsevier B.V.