A data-driven simulation to support remanufacturing operations

Simulations are a vital component in developing smart manufacturing systems, predicting the behaviour of the manufacturing shop floor operations to support production planning, scheduling and maintenance decisions within manufacturing environments. However, simulations are often limited in their abi...

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Main Authors:	Paul Goodall, Richard Sharpe, Andrew West
Format:	Default Article
Published:	2018
Subjects:	Mechanical engineering not elsewhere classified Distributed computing and systems software not elsewhere classified Software engineering not elsewhere classified Data-driven simulation Remanufacturing Industry 4.0 Discrete event simulation Operations management Mechanical Engineering not elsewhere classified Computer Software Distributed Computing
Online Access:	https://hdl.handle.net/2134/36285
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id	rr-article-9547775
record_format	Figshare
spelling	rr-article-95477752018-11-24T00:00:00Z A data-driven simulation to support remanufacturing operations Paul Goodall (1258392) Richard Sharpe (2881304) Andrew West (1259121) Mechanical engineering not elsewhere classified Distributed computing and systems software not elsewhere classified Software engineering not elsewhere classified Data-driven simulation Remanufacturing Industry 4.0 Discrete event simulation Operations management Mechanical Engineering not elsewhere classified Computer Software Distributed Computing Simulations are a vital component in developing smart manufacturing systems, predicting the behaviour of the manufacturing shop floor operations to support production planning, scheduling and maintenance decisions within manufacturing environments. However, simulations are often limited in their ability to support real-time business decisions in complex fast changing environments due to the cost and time required to build, update and maintain simulation models. Remanufacturing operations in particular could benefit from the use of simulations as a tool to support the assessment of different strategies to real-time scenarios due to the uncertain nature of product returns. This research develops a data-driven simulation approach to predict material flow behaviour within remanufacturing operations, by utilising data from digital manufacturing systems (i.e. databases, traceability systems, process plans) to update and automatically modify the simulation constructs to reflect the real world or planned system. A data-driven simulation is proposed comprising of three elements: (i) an adaptive remanufacturing simulation algorithm to model the complex material flow found within a remanufacturing process in a generic and reusable way, (ii) a remanufacturing information model to structure and highlight the simulation data requirements and (iii) an information service layer to collect and analyse sensor data for use within the simulation. The simulation is implemented to demonstrate how it can automatically reconfigure and adapt to changes within the data inputs (process and factory models) using a case study of operations from a Waste Electrical and Electronic Equipment (WEEE) remanufacturer, utilising data collected from a Radio Frequency Identification (RFID) traceability system installed within the remanufacturing facility. 2018-11-24T00:00:00Z Text Journal contribution 2134/36285 https://figshare.com/articles/journal_contribution/A_data-driven_simulation_to_support_remanufacturing_operations/9547775 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Distributed computing and systems software not elsewhere classified Software engineering not elsewhere classified Data-driven simulation Remanufacturing Industry 4.0 Discrete event simulation Operations management Mechanical Engineering not elsewhere classified Computer Software Distributed Computing
spellingShingle	Mechanical engineering not elsewhere classified Distributed computing and systems software not elsewhere classified Software engineering not elsewhere classified Data-driven simulation Remanufacturing Industry 4.0 Discrete event simulation Operations management Mechanical Engineering not elsewhere classified Computer Software Distributed Computing Paul Goodall Richard Sharpe Andrew West A data-driven simulation to support remanufacturing operations
description	Simulations are a vital component in developing smart manufacturing systems, predicting the behaviour of the manufacturing shop floor operations to support production planning, scheduling and maintenance decisions within manufacturing environments. However, simulations are often limited in their ability to support real-time business decisions in complex fast changing environments due to the cost and time required to build, update and maintain simulation models. Remanufacturing operations in particular could benefit from the use of simulations as a tool to support the assessment of different strategies to real-time scenarios due to the uncertain nature of product returns. This research develops a data-driven simulation approach to predict material flow behaviour within remanufacturing operations, by utilising data from digital manufacturing systems (i.e. databases, traceability systems, process plans) to update and automatically modify the simulation constructs to reflect the real world or planned system. A data-driven simulation is proposed comprising of three elements: (i) an adaptive remanufacturing simulation algorithm to model the complex material flow found within a remanufacturing process in a generic and reusable way, (ii) a remanufacturing information model to structure and highlight the simulation data requirements and (iii) an information service layer to collect and analyse sensor data for use within the simulation. The simulation is implemented to demonstrate how it can automatically reconfigure and adapt to changes within the data inputs (process and factory models) using a case study of operations from a Waste Electrical and Electronic Equipment (WEEE) remanufacturer, utilising data collected from a Radio Frequency Identification (RFID) traceability system installed within the remanufacturing facility.
format	Default Article
author	Paul Goodall Richard Sharpe Andrew West
author_facet	Paul Goodall Richard Sharpe Andrew West
author_sort	Paul Goodall (1258392)
title	A data-driven simulation to support remanufacturing operations
title_short	A data-driven simulation to support remanufacturing operations
title_full	A data-driven simulation to support remanufacturing operations
title_fullStr	A data-driven simulation to support remanufacturing operations
title_full_unstemmed	A data-driven simulation to support remanufacturing operations
title_sort	data-driven simulation to support remanufacturing operations
publishDate	2018
url	https://hdl.handle.net/2134/36285
_version_	1797550999027580928

A data-driven simulation to support remanufacturing operations

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