Enhancing socioeconomic sustainability in glass wall panel manufacturing: An integrated production planning approach

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2024-09-13 DOI:10.1016/j.cie.2024.110571
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Abstract

While conventional production planning approaches prioritize short-term efficiency and economic gains, the sustainability development objectives emphasize a holistic perspective, integrating eco-friendly practices, social responsibility, and economic viability. Nevertheless, the existing literature overlooks a gap in understanding the role of socio-economic factors in labor-intensive production processes. In this regard, this research aims at investigating the impact of social factors, such as labor skill level and experience, on production planning, with a specific focus on glass wall panel manufacturing. The research integrates sustainability socioeconomics, as embodied by an empirically developed labor learning curve, with the MINLP (Mixed-Integer Nonlinear Programming) scheduling model. The results show that the integrated socio-economic scheduling approach outperforms traditional scheduling approach, reducing idle time up to 43% and promoting more balanced production distribution. Despite slightly higher upfront production costs, the integrated model offers long-term cost savings through reduced idle time and overtime, making it a viable option for companies seeking to improve productivity and worker satisfaction. The implementation of this work is recommended to maintain a sustainable, safe, and healthy work environment while also considering long-term economic benefits rather than short-term profits.

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提高玻璃墙板制造业的社会经济可持续性:综合生产规划方法
传统的生产规划方法优先考虑短期效率和经济收益,而可持续发展目标则强调整体视角,将生态友好实践、社会责任和经济可行性融为一体。然而,现有文献在理解社会经济因素在劳动密集型生产过程中的作用方面存在空白。为此,本研究旨在调查劳动力技能水平和经验等社会因素对生产规划的影响,重点关注玻璃墙板生产。研究将可持续发展社会经济学(体现为根据经验开发的劳动力学习曲线)与 MINLP(混合整数非线性编程)排程模型相结合。结果表明,综合社会经济排程方法优于传统排程方法,可将闲置时间减少 43%,并促进更均衡的生产分配。尽管前期生产成本略高,但通过减少闲置时间和加班时间,综合模型可长期节约成本,因此是企业提高生产率和工人满意度的可行选择。建议实施这项工作,以保持可持续、安全和健康的工作环境,同时考虑长期经济效益而非短期利润。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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