Manufacturing Optimization Based on Agile Manufacturing and Big Data

Khan, Md Ashikul Alam and Mebrahtu, Habtom and Shirvani, Hassan and Butt, Javaid (2017) Manufacturing Optimization Based on Agile Manufacturing and Big Data. In: Proceedings of the 15th International Conference on Manufacturing Research (ICMR 2017), incorporating the 32nd National Conference on Manufacturing Research (NCMR), 5-7 September 2017, University of Greenwich, UK.

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Official URL: http://dx.doi.org/10.3233/978-1-61499-792-4-345

Abstract

This paper investigates Agile Manufacturing (AM) supported by Big Data for manufacturing optimization. The paper aims to identify the limitations of current manufacturing approaches such as just in time (JIT) and lean manufacturing and to map a process based on these limitations.The process works through a process re-engineering (PR) by eliminating and redesigning the steps that affect productions. The process will identify the key enablers that will assist in the design of an effective AM framework for process optimization.The paper also discusses the integration of Big Data (BD) as a major source of information to the manufacturing input. It will try to identify the extent the BD can be useful in manufacturing optimization. In the process, it will look at a specific kind of data like machine sensor data, Enterprise data, social network and website data and design a framework to bring all the information together for us in the manufacturing process.The paper will analyse and design an integration process framework of AM and BD as a new approach to manufacturing for optimal production.

Item Type: Conference or Workshop Item (Paper)
Keywords: Manufacturing Optimization, Agile Manufacturing, Big Data
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Ian Walker
Date Deposited: 05 Dec 2017 10:53
Last Modified: 28 Mar 2018 15:12
URI: http://arro.anglia.ac.uk/id/eprint/702509

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