Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system

被引:3
作者
Rocha, Eugenio M. [1 ,2 ]
Brochado, Angela F. [3 ]
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
关键词
multi-directional efficiency analysis; bottleneck; workers performance clustering; manufacturing production system; PERFORMANCE;
D O I
10.1016/j.procs.2022.01.346
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:1451 / 1460
页数:10
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