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Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal

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TLDR
The main purpose of this research consists on presenting a proposed methodology, based on the study conducted, to enable to further assist either academia or industry to develop new tools, techniques and approaches for integrated process planning in networked manufacturing environments.
Abstract
Integrated process planning and scheduling in networked manufacturing systems plays a crucial role nowadays and in the forthcoming context of Industry 4.0 to enable effective and efficient decisions, and to improve the business market, based on collaboration, along with computer-based distributed manufacturing and management functions. In this paper some insights regarding a literature review carried out about this main subjects analysed are presented and discussed. Moreover, a framework for integrated process planning and scheduling in networked manufacturing systems is proposed and briefly described, along with some main underlying issues, which are further discussed. Thus, the main purpose of this research consists on presenting a proposed methodology, based on the study conducted, to enable to further assist either academia or industry to develop new tools, techniques and approaches for integrated process planning in networked manufacturing environments. The findings and contributions of this research can help in the implementation and improvement in distributed manufacturing environments, to be linked with small and medium enterprises, to further expand their potentialities through well suited integrated process planning and scheduling decision making processes.

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Developing A sustainability framework for Industry 4.0

TL;DR: In this article, a case study is done in one of the MSMEs of India which is working on the adoption of Industry 4.0 practices in emerging economies, and the results revealed that supply chain and environment related enablers are the main cause of barriers to sustainability in Industry 4.,0.
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A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop

TL;DR: The experimental results demonstrate the proposed optimization method can effectively solve GMOIPPS problem and show that the proposed method can handle real-world cases effectively.
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Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0

TL;DR: The presented methodology aims to establish a financial, strategic, and benefit-oriented evaluation approach for Industry 4.0 methods to assess their potential to select the most suitable ones for an individual company.
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Literature review on autonomous production control methods

TL;DR: This work reviews and discusses the literature on APC methods to bring more attention to this promising topic of research, highlighting future research directions.
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A cost benefit analysis for industry 4.0 in a job shop environment using a mixed integer linear programming model

TL;DR: A new mathematical cost model is proposed for assessing the cost-benefit analysis of introducing Industry 4.0 elements to the manufacturing facility, specifically, integrating and connecting external suppliers as strategic partners and establishing an infrastructure for communicating information between the manufacturing company and its strategic suppliers.
References
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TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
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Cyber-physical production systems: Roots, expectations and R&D challenges

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Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types

TL;DR: In this article, translational profiles for 24 central nervous system (CNS) cell populations and identified known cell-specific and enriched transcripts for each population were presented. But, the translational profile for each cell population was not used in whole-tissue microarray studies.
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Current status and advancement of cyber-physical systems in manufacturing

TL;DR: In this article, the current status and the latest advancement of cyber-physical systems (CPS) in manufacturing are discussed and compared with the cloud manufacturing concept in order to understand CPS and its future potential in manufacturing.
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