Comparative Multi-criteria-Decision Making Approach for the Optimization of Abrasive Water Jet Machining Process Parameters Using MABAC

Tamang, Bimal; Sharma, Satyam; Das, Soham; Guha, Spandan; Kumar, Ajay; Ghadai, Ranjan Kumar

doi:10.1007/978-3-031-68271-1_6

Springer Series in Advanced Manufacturing

2024

DOI: 10.1007/978-3-031-68271-1_6

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Comparative Multi-criteria-Decision Making Approach for the Optimization of Abrasive Water Jet Machining Process Parameters Using MABAC

Bimal Tamang,

Satyam Sharma,

Soham Das

et al.

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A framework for data-driven decision making in advanced manufacturing systems: Development and implementation

Ojha,

Goyal,

Chand

et al. 2024

Concurrent Engineering

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Integration of sophisticated technologies such as Internet of Things, cyber physical systems and big data analytics have revolutionized the advanced manufacturing systems (AMS). However, implementation of data-driven decision making in AMS still remains challenging due to data heterogeneity, real-time processing demands, and integration complexities. This paper overcomes this challenge by presenting a novel framework for adoption of DDDM in AMS to enhance its decision-making capabilities. This framework consists of six stages: manufacturing stage, sensing stage, data stage, knowledge stage, decision stage, and application stage. The proposed framework leverages big data analytics to extract actionable insights from diverse datasets, integrates CPS to create a seamless interaction between physical and digital systems, and employs IoT technologies for real-time data acquisition and monitoring. The framework is validated through a comprehensive case study involving a CNC milling machine dataset, demonstrating significant improvements in operational efficiency, decision accuracy, and response time. The case study involves detailed data collection steps, preprocessing, and analysis, showcasing the framework’s practical implementation and effectiveness. The results show that the proposed framework addresses existing challenges and provides a scalable solution for DDDM implementation in AMS.

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A framework for data-driven decision making in advanced manufacturing systems: Development and implementation

Ojha,

Goyal,

Chand

et al. 2024

Concurrent Engineering

View full text Add to dashboard Cite

show abstract

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Comparative Multi-criteria-Decision Making Approach for the Optimization of Abrasive Water Jet Machining Process Parameters Using MABAC

Cited by 1 publication

References 20 publications

A framework for data-driven decision making in advanced manufacturing systems: Development and implementation

A framework for data-driven decision making in advanced manufacturing systems: Development and implementation

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