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Job shop rescheduling with rework and reconditioning in Industry 4.0: an event-driven approach

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This article is published in The International Journal of Advanced Manufacturing Technology.The article was published on 2022-01-08. It has received 3 citations till now. The article focuses on the topics: Rework & Job shop.

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Citations
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A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park

TL;DR: In this article , a multi-criteria decision framework is proposed to assist manufacturing companies when selecting suitable industrial park sites, which combines the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR).
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Supervised Machine Learning for Understanding and Improving the Computational Performance of Chemical Production Scheduling MIP Models

TL;DR: In this article , the authors adopt a supervised learning approach to predict runtimes of batch production scheduling mixed-integer programming (MIP) models with the aim of understanding what instance features make a model computationally expensive.
References
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Journal ArticleDOI

Industry 4.0: state of the art and future trends

TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
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Intelligent Manufacturing in the Context of Industry 4.0: A Review

TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
Journal ArticleDOI

Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods

TL;DR: A framework for understanding rescheduling strategies, policies, and methods based on a wide variety of experimental and practical approaches that have been described in the rescheduled literature is described.
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A survey of dynamic scheduling in manufacturing systems

TL;DR: The paper defines the problem of dynamic scheduling and provides a review of the state-of-the-art of currently developing research on dynamic scheduling, and the principles of several dynamic scheduling techniques, namely, heuristics, meta-heuristic, multi-agent systems, and other artificial intelligence techniques are described in detail.
Journal ArticleDOI

Scheduling flexible manufacturing systems using Petri nets and heuristic search

TL;DR: Petri net modeling combined with heuristic search provides a new scheduling method for flexible manufacturing systems that can handle features such as routing flexibility, shared resources, lot sizes and concurrency.
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