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Flexible Services and Manufacturing Journal最新文献

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Bundle generation for the vehicle routing problem with occasional drivers and time windows 为有偶发驾驶员和时间窗口的车辆路由问题生成捆绑包
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2024-01-09 DOI: 10.1007/s10696-023-09529-3
Simona Mancini, M. Gansterer
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引用次数: 0
Designing a computer-vision-based artifact for automated quality control: a case study in the food industry 设计基于计算机视觉的自动质量控制工具:食品工业案例研究
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2024-01-04 DOI: 10.1007/s10696-023-09523-9
Felix Xiong, Niklas Kühl, Maximilian Stauder
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引用次数: 0
Energy efficient scheduling of a two machine robotic cell producing multiple part types 生产多种零件类型的双机机器人单元的节能调度
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2024-01-04 DOI: 10.1007/s10696-023-09528-4
Çiya Aydoğan, S. Gürel
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引用次数: 0
A variable neighborhood search algorithm for the location problem of platoon formation center 排阵中心位置问题的可变邻域搜索算法
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-25 DOI: 10.1007/s10696-023-09527-5
Zhaojie Xue, Wenxiang Peng, Haipeng Cui
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引用次数: 0
Nursing care flexibility in chemotherapy appointment scheduling 护理人员灵活安排化疗预约时间
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-16 DOI: 10.1007/s10696-023-09526-6
S. Gul
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引用次数: 0
Reliable multiple allocation hub location problem under disruptions 中断情况下的可靠多分配枢纽位置问题
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-05 DOI: 10.1007/s10696-023-09525-7
Tingting Li, Wangtu Xu
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引用次数: 0
Pricing decisions in a two-period closed-loop supply chain game under asymmetric information and uncertainty 不对称信息和不确定性条件下两期闭环供应链博弈中的定价决策
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-05 DOI: 10.1007/s10696-023-09524-8
Maria Beranek, Udo Buscher
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引用次数: 0
Should I endorse a third party? Authorization strategies for brand manufacturers in a refurbishing market 我应该为第三方背书吗?翻新市场中品牌制造商的授权策略
IF 2.7 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-01 DOI: 10.1007/s10696-023-09519-5
N. A. Kurdhi, S. Dabadghao, Jan C. Fransoo
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引用次数: 0
A memetic NSGA-II for the multi-objective flexible job shop scheduling problem with real-time energy tariffs 具有实时电价的多目标柔性作业车间调度问题的模因NSGA-II
3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-14 DOI: 10.1007/s10696-023-09517-7
Sascha Christian Burmeister, Daniela Guericke, Guido Schryen
Abstract Rising costs for energy are increasingly becoming a vital factor for the production planning of manufacturing companies. Manufacturers face the challenge to react to dynamic energy prices and design energy cost efficient schedules in their production planning. In the literature, the energy cost-aware Flexible Job Shop Scheduling Problem addresses minimization of both makespan and energy costs. Recent studies provide multi-objective approaches to model the trade-off of minimizing makespan and energy costs. However, the literature is limited to coarse-grained time periods and does not consider dynamic tariffs where costs change at short intervals, so that production schedules may fall short on energy costs. We aim to close this research gap by considering frequently changing real-time energy tariffs. We propose a multi-objective memetic algorithm based on the non-dominated sorting genetic algorithm (NSGA-II) with both makespan and energy cost minimization as the objectives. We evaluate our approach by conducting computational experiments using prominent FJSP-benchmark instances from the literature, which we supplement with empiric dynamic energy prices. We show results on method performance and compare the memetic NSGA-II with the results of an exact state-of-the-art solver. To investigate the trade-off between a short makespan and low energy costs, we present solutions on the approximated Pareto front and discuss our results.
能源成本的上升越来越成为制造企业生产计划的重要因素。制造商面临的挑战是对动态能源价格做出反应,并在生产计划中设计能源成本效率高的时间表。在文献中,具有能源成本意识的柔性作业车间调度问题解决了最大完工时间和能源成本的最小化问题。最近的研究提供了多目标方法来模拟最大完工时间和能源成本之间的权衡。然而,文献仅限于粗粒度的时间段,并没有考虑成本在短时间间隔内变化的动态关税,因此生产计划可能会低于能源成本。我们的目标是通过考虑频繁变化的实时能源关税来缩小这一研究差距。提出了一种基于非支配排序遗传算法(NSGA-II)的多目标模因算法,以最大完工时间和能量成本最小化为目标。我们通过使用文献中突出的fjsp基准实例进行计算实验来评估我们的方法,我们补充了经验动态能源价格。我们展示了方法性能的结果,并将模因NSGA-II与精确的最先进的求解器的结果进行了比较。为了研究短完工周期和低能源成本之间的权衡,我们提出了近似帕累托前沿的解决方案,并讨论了我们的结果。
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引用次数: 0
MOBI-Qual: a common framework to manage the product-service system quality of shared mobility MOBI-Qual:管理共享出行产品服务体系质量的通用框架
3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-11 DOI: 10.1007/s10696-023-09520-y
Federico Barravecchia, Luca Mastrogiacomo, Martí Casadesús Fa, Fiorenzo Franceschini
Abstract Shared mobility is transforming urban transportation. The increasing demand for more efficient and sustainable transportation options has driven the growth of the shared mobility sector, attracting operators ranging from new entrants to traditional manufacturers looking to diversify their markets. Despite its popularity, there is currently a lack of tools to support the design and management of the quality of shared mobility. Seeking to contribute towards bridging this gap, this paper presents a comprehensive quality framework, refereed as MOBI-Qual . MOBI-Qual was developed using a bottom-up approach, wherein quality determinants were defined based on an extensive analysis of digital Voice-of-Customer data, specifically customer review. A topic modelling algorithm was utilized to extract the quality determinants for the most prevalent shared mobility modes. Following this, a common framework was established through a comparison of these quality determinants. The proposed framework comprises eleven quality determinants that comprehensively cover various aspects of shared mobility.
共享出行正在改变城市交通。对更高效、更可持续的交通选择的需求不断增长,推动了共享出行行业的增长,吸引了从新进入者到寻求市场多元化的传统制造商的运营商。尽管它很受欢迎,但目前缺乏工具来支持共享出行的设计和质量管理。为了弥合这一差距,本文提出了一个全面的质量框架,称为MOBI-Qual。MOBI-Qual采用自下而上的方法开发,其中质量决定因素是基于对数字客户之声数据(特别是客户评论)的广泛分析来定义的。利用主题建模算法提取最普遍的共享移动模式的质量决定因素。随后,通过对这些质量决定因素的比较,建立了一个共同的框架。拟议的框架包括11个质量决定因素,全面涵盖共享交通的各个方面。
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引用次数: 0
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Flexible Services and Manufacturing Journal
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