A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line

Joaquín Bautista-Valhondo; Rocío Alfaro-Pozo

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A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line

机译：日产巴塞罗那工厂的案例研究，以最大限度地减少混合模型装配线中的符合人体工程学风险及其标准偏差

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摘要

This work examines a balancing problem wherein the objective is to minimize both the ergonomic risk dispersion between the set of workstations of a mixed-model assembly line and the risk level of the workstation with the greatest ergonomic factor. A greedy randomized adaptive search procedure (GRASP) procedure is proposed to achieve these two objectives simultaneously. This new procedure is compared against two mixed integer linear programs: the MILP-1 model that minimizes the maximum ergonomic risk of the assembly line and the MILP-2 model that minimizes the average deviation from ergonomic risks of the set of workstations on the line. The results from the case study based on the automotive sector indicate that the proposed GRASP procedure is a very competitive and promising tool for further research.

机译：这项工作检查了一个平衡问题，其中目标是最小化混合模型装配线的工作站集之间的符合人体工程学风险分散，以及具有最大的人体工程学因素的工作站的风险水平。提出了一种贪婪的随机自适应搜索程序（掌握）程序，以同时达到这两个目标。将该新程序与两个混合整数线性程序进行比较：MILP-1模型，可最大限度地减少装配线的最大符合人体工程学风险和MILP-2模型，从而最大限度地减少线路上的工作站符合人体工程学风险的平均偏差。基于汽车部门的案例研究结果表明，拟议的掌握程序是一种非常有竞争力的和有前途的进一步研究工具。

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来源
《Progress in Artificial Intelligence》 |2018年第4期|共12页
作者
Joaquín Bautista-Valhondo; Rocío Alfaro-Pozo;
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作者单位

IOC ETSEIB Universidad Politécnica de Catalunya;

EAE Business School;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
GRASP; MILP; Assembly line balancing; Cycle time; Linear area; Ergonomic risk;

机译：掌握;MILP;装配线平衡;循环时间;线性区域;人体工程学风险;

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专利

1. A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line [J] . Joaquín Bautista-Valhondo, Rocío Alfaro-Pozo Progress in Artificial Intelligence . 2018,第4期

机译：日产巴塞罗那工厂的案例研究，以最大限度地减少混合模型装配线中的符合人体工程学风险及其标准偏差
2. Modeling and solving a variant of the mixed-model sequencing problem with work overload minimisation and regularity constraints. An application in Nissan's Barcelona Plant [J] . Joaquin Bautista, Alberto Cano, Roclo Alfaro Expert systems with applications . 2012,第12期

机译：具有工作过载最小化和规则性约束的混合模型排序问题的变体建模和求解。日产在巴塞罗那工厂的应用
3. Ergonomic risk and cycle time minimization for the U-shaped worker assignment assembly line balancing problem: A multi-objective approach [J] . Zhang Zikai, Tang QiuHua, Ruiz Ruben, Computers & operations research . 2020,第Juna期

机译：U形工人分配装配线平衡问题的符合人体工程学风险和循环时间最小化：多目标方法
4. GRASP for Minimizing the Ergonomic Risk Range in Mixed-Model Assembly Lines [C] . Joaquin Bautista, Rocio Alfaro-Pozo, Cristina Batalla-Garcia Conference of the Spanish Association for Artificial Intelligence . 2016

机译：GRASP用于最小化混合模型装配线中的人体工程学风险范围
5. Pack level design optimization for electric vehicle thermal management systems minimizing standard deviation of temperature distribution. [D] . Bakker, Jeremy. 2013

机译：电动汽车热管理系统的装箱级设计优化可将温度分布的标准偏差降至最低。
6. Maximizing overall liking results in a superior product to minimizing deviations from ideal ratings: an optimization case study with coffee-flavored milk [O] . Bangde Li, John E. Hayes, Gregory R. Ziegler -1

机译：最大限度地提高总体喜好从而生产出优质产品以最大程度地减少与理想评级的偏差：咖啡味牛奶的优化案例研究
7. Mixed-Model Assembly Line Balancing in The Process of Assembling Trimming Area to Minimize Workstation Using RPW-MVM Method [O] . Muhamad Ali Yusuf, Dida Diah Damayanti, Murni Dwi Astuti 2020

机译：混合模型装配线平衡在装配修剪区域的过程中，以使用RPW-MVM方法最小化工作站

A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line

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