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Titlebook: Industrial Engineering in the Industry 4.0 Era; Selected papers from Fethi Calisir,Hatice Camgoz Akdag Conference proceedings 2018 Springer

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21#
發(fā)表于 2025-3-25 04:18:30 | 只看該作者
22#
發(fā)表于 2025-3-25 10:35:27 | 只看該作者
A Two-Phase Optimization Approach for Reducing the Size of the Cutting Problem in the Box-Productionoblem of dividing a piece of rectangular raw material, which is usually large, into smaller pieces to produce various products. Cutting problems are NP-hard problems. Numerous researches offering good solutions to these problems have been conducted over the past few years. In the present study, cons
23#
發(fā)表于 2025-3-25 14:57:37 | 只看該作者
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發(fā)表于 2025-3-25 16:21:19 | 只看該作者
25#
發(fā)表于 2025-3-25 23:32:30 | 只看該作者
Lean Transformation Integrated with Industry 4.0 Implementation Methodologyctivities from production processes to maintain effectiveness, flexibility, and profitability. In the context of Industry 4.0, new solutions are available for combining automation technology with lean production. Moreover, when effective usage of resources (finance, labor, material, machine/equipmen
26#
發(fā)表于 2025-3-26 00:47:24 | 只看該作者
27#
發(fā)表于 2025-3-26 07:54:00 | 只看該作者
Musculoskeletal Discomfort Experienced by Children and Adolescents During the Use of ICT: A Statistiem is still continuing. Therefore, it is very important to learn the habits and attitudes of children and adolescents, the location and duration of the use of these technologies, and the relationship between musculoskeletal discomforts. This study aims to investigate the relationship between duratio
28#
發(fā)表于 2025-3-26 10:04:49 | 只看該作者
29#
發(fā)表于 2025-3-26 16:11:12 | 只看該作者
30#
發(fā)表于 2025-3-26 17:39:11 | 只看該作者
Application of Q-R Policy for Non-smooth Demand in the Aviation Industryrefore, highly accurate demand forecasting is an indispensable entity in spare-parts inventory management. In the literature, traditional demand forecasting methods and measures are insufficient due to the variability of demand quantity and the uncertainty of demand occurrence times. When comparing
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