优化工人生产力和暴露于手臂振动:一个基于技能的工作轮换模型

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2023-10-24 DOI:10.1080/21681015.2023.2270985
Saleh AlBaiti, Naser Nawayseh, Ali Cheaitou
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引用次数: 0

摘要

摘要劳动密集型行业的生产力和对工人福祉的关注是劳动密集型行业的重要话题。特别是,本研究通过分析工人技能水平、生产率和振动暴露之间的关系,对现有的研究做出了贡献。采用双目标混合整数线性规划模型对生产车间的生产效率和手臂振动暴露进行了优化。进行了敏感性分析,以检验关键参数对生产率和振动暴露之间权衡的影响。结果证明了该模型在确定最佳工作轮换计划方面的有效性,通过实现中小问题规模的最佳生产率和振动暴露。此外,数值案例研究指出,通过增加更多熟练技术工人来加强劳动力,可以保持良好的生产力水平,同时降低过度振动暴露的可能性。关键词:工作轮换、手臂振动、劳动力调度、优化、人体工程学披露声明作者未报告潜在的利益冲突。附加信息saleh AlBaiti saleh AlBaiti是阿拉伯联合酋长国沙迦大学可持续工程资产管理研究小组(SEAM)的研究助理。他在阿拉伯联合酋长国沙迦大学获得电气和电子工程学士学位,并在该大学获得工程管理硕士学位。他目前的兴趣集中在优化、振动、人体工程学和人工智能。Naser NawaysehNaser Nawayseh目前是阿拉伯联合酋长国沙迦大学机械与核工程系的教授。他在英国南安普顿大学声音与振动研究所(ISVR)获得人体对振动的反应博士学位。博士毕业后,他作为研究员在ISVR工作了三年,参与了几个欧洲和国际项目。随后,他前往海湾地区担任学术职务。他是美国机械工程师学会(ASME)和欧洲生物力学学会的成员。他的研究兴趣是振动的生物动力学响应、姿势稳定性和座位动力学。Ali cheitou,阿拉伯联合酋长国沙迦大学工业工程与工程管理副教授,SEAM研究小组协调员。此前,他于2018年至2022年担任沙迦大学工业工程与工程管理系主席,并于2013年至2017年担任沙迦大学工程管理硕士和博士课程协调员。在加入沙迦大学之前,Ali cheitou曾在法国马赛Euromed Management (Kedge Business School)担任助理教授,并在法国巴黎École Centrale担任讲师。他还在法国巴黎的L’orsamal公司担任了两年的ERP和供应链管理顾问。主要研究方向为生产计划与库存控制、供应链管理、物流系统优化。
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Optimizing worker productivity and the exposure to hand-arm vibration: a skill-based job rotation model
ABSTRACTProductivity and concerns regarding the well-being of workers exposed to vibrations stand as significant topics within labor-intensive sectors. In particular, this study contributes to the existing research by analyzing the problem with linkages among worker skill level, production rates, and vibration exposure. A bi-objective mixed integer linear programming model was employed to optimize both productivity and the exposure to hand-arm vibration in the manufacturing workplace. A sensitivity analysis was carried out to examine the impact of key parameters on the trade-off between productivity and vibration exposure. The results demonstrate the model’s effectiveness in determining the best job rotation schedules by achieving optimal productivity and vibration exposure for low and medium problem sizes. Moreover, the numerical case study points out that strengthening the workforce by adding more proficient skilled workers can maintain a good level of productivity with a decreased likelihood of excessive vibration exposure.KEYWORDS: Job rotationhand–arm vibrationworkforce schedulingoptimizationergonomics Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsSaleh AlBaitiSaleh AlBaiti is a Research Assistant in the Sustainable Engineering Asset Management Research Group (SEAM), University of Sharjah, Sharjah, United Arab Emirates. He received his bachelor’s degree in Electrical and Electronics Engineering from University of Sharjah, United Arab Emirates and obtained his master’s degree in Engineering Management from the same university. His current interests are focused on optimization, vibration, ergonomics, and artificial intelligence.Naser NawaysehNaser Nawayseh is currently a Professor at the Department of Mechanical and Nuclear Engineering at the University of Sharjah, United Arab Emirates. He obtained his PhD in human responses to vibration from the Institute of Sound and Vibration Research (ISVR) at the University of Southampton in the United Kingdom. After his PhD, he worked as a Research Fellow for three years at ISVR where he was involved in several European and International projects. He then moved to the Gulf Region for an academic position. He is a member of the American Society of Mechanical Engineers (ASME) and the European Society of Biomechanics. His research interests are in the areas of biodynamic responses to vibration, postural stability and seating dynamics.Ali CheaitouAli Cheaitou is Associate Professor in Industrial Engineering and Engineering Management, and Coordinator of SEAM Research Group, University of Sharjah, United Arab Emirates. Previously, he served as Chairman of the Department of Industrial Engineering and Engineering Management between 2018 and 2022 and as Coordinator of the M.Sc. and Ph.D. programs in Engineering Management between 2013 and 2017 at the University of Sharjah. Prior to joining the University of Sharjah, Ali Cheaitou worked as Assistant Professor at Euromed Management (Kedge Business School), Marseilles, France, and as Lecturer at École Centrale Paris, France. He also spent two years in the industry as ERP and supply chain management consultant, with L’Oréal, Paris, France. His main research interests are in production planning and inventory control, supply chain management, and optimization of logistics systems.
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CiteScore
7.50
自引率
6.70%
发文量
21
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