jagged 发表于 2025-3-23 12:18:19
Ein Brief an Stelle einer Einleitung,imize two conflicting objectives, energy consumption resulting from usage while the machine runs at a particular speed or in standby state and total tardiness emanating from late completions. To this end, we developed a MILP formulation for the problem and Augmented ε-Constraint (Augmecon) method isovation 发表于 2025-3-23 17:02:12
http://reply.papertrans.cn/17/1673/167300/167300_12.png半导体 发表于 2025-3-23 18:16:41
http://reply.papertrans.cn/17/1673/167300/167300_13.pngASSAY 发表于 2025-3-24 01:48:49
Understanding Coopetition Dynamics in Manufacturing Value Networks: A System Dynamics Based Causal Lvalue networks and business ecosystems. Furthermore, existing literature emphasizes the need for a multifaceted perspective on coopetition in manufacturing. Our model, developed through consultation of extensive manufacturing and business literature and CLD application, identifies key factors drivin组装 发表于 2025-3-24 03:20:08
http://reply.papertrans.cn/17/1673/167300/167300_15.pngPON 发表于 2025-3-24 09:34:10
Assembly Line Design for Industrialized Electrolyser Productionlation model is developed and tested based on scenarios reflecting situations related to for instance poor quality yield of incoming components and equipment downtime. Data from an empirical case involving the design of a new assembly line, are used to set up the model. Based on the findings from ththwart 发表于 2025-3-24 11:25:13
Empirical Grounded Simulation Models for Make-To-Order (MTO) Supply Chains: An Application in the Fuation model offers insights for MTO companies navigating supplier selection and inventory management, enhancing decision-making and customer satisfaction. Future research aims to expand the model into a supply chain Digital Twin, incorporating resilience and risk management to tackle broader MTO sup文字 发表于 2025-3-24 16:09:58
http://reply.papertrans.cn/17/1673/167300/167300_18.pngAlpha-Cells 发表于 2025-3-24 22:04:23
A Digital Twin Framework for Flexible Manufacturing Systemcturing and outlining various components and information. This is done by integrating different paradigms namely Machine learning; Simulation based Optimization, and Acquisition technologies. The proposed framework is composed of Physical part, Virtual part, and Stakeholders.Endemic 发表于 2025-3-25 01:43:34
A Dynamic Fit-Out Scheduling Framework for Digital Twin-Enabled Modular Integrated Constructionk for cyber-physical operational synchronisation in MiC regarding workers, operations and jobs. Third, this work implements a dynamic fit-out scheduling method based on Deep Reinforcement Learning. This work intends to conduct experimental analysis using real-life case data. This work aims to provid