电池行业返工和部分外包的智能制造系统

IF 5.3 Q2 ENGINEERING, ENVIRONMENTAL
Ritu Arora , Divya Chauhan , Anubhav Pratap Singh , Anu Sayal
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引用次数: 0

摘要

电池在能源工业中扮演着重要的角色,因为它可以储存能量,在需要的时候利用。这不仅对环境有积极的影响,而且有助于建立一个更加可持续和可靠的能源系统。本文介绍了一种先进的制造库存系统,该系统考虑了在检查过程中发现的不合格电池的预定缺货和返工过程。由于需求的增加和产品的变化,工业面临着短缺问题的重大挑战。为了解决这个问题,正在进行一项研究,以生产高质量的电池,并尽量减少废物的产生。采用计算机集成技术,确保产品的真实性。部分外包对于加快缺货回收过程至关重要,设置、生产、外包、持有、缺货、返工、筛选和广告成本都经过了细致的考虑。需求被视为广告成本和销售价格依赖于现实世界需求的变化。利用模拟退火方法对利润进行优化,并通过灵敏度分析和数值算例对所建立的模型进行了验证。本研究对强调可持续工业化和经济增长的能源部门具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart manufacturing system with rework and partial outsourcing for battery industry
Batteries have an important role in the energy industry by storing energy that can be utilized when it is needed. This not only has a positive impact on the environment but also contributes to the creation of a more sustainable and dependable energy system. This study introduces an advanced manufacturing inventory system that considers scheduled backorders and the reworking process of imperfect batteries detected during inspection. Industries face a significant challenge of shortage problems due to increasing demand and product variability. To tackle this issue, a study has been conducted to produce high-quality batteries and minimize waste generation. Computer-integrated technologies are utilized to ensure product authenticity. Partial outsourcing is crucial to expedite the backorder recovery process, and the setup, production, outsourcing, holding, backorder, rework, screening, and advertisement costs have all been meticulously considered. Demand is viewed as an advertisement cost and selling price dependent due to variations in real-world demand. Simulated annealing has been used to optimize profit, and the developed model has been validated with sensitivity analysis and numerical examples. This study has significant implications for the energy sector, emphasizing sustainable industrialization and economic growth.
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来源期刊
Cleaner Engineering and Technology
Cleaner Engineering and Technology Engineering-Engineering (miscellaneous)
CiteScore
9.80
自引率
0.00%
发文量
218
审稿时长
21 weeks
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