Agent based model for complex flow shop manufacturing systems with customer-related production disruptions

T.V. Adediran; Ammar Al-Bazi

doi:10.1109/ICITECH.2017.8079943

Agent based model for complex flow shop manufacturing systems with customer-related production disruptions

T.V. Adediran, Ammar Al-Bazi^*

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

There have been number of frameworks and approaches proposed for the study of complex flow shop manufacturing systems. However, due to the continuous effects of customer disruptions such as cancellation, change in sequence and due time on flow shop production, there arise need to develop an adaptive system to respond to the effect of such disruptions. In this ongoing PhD work, we develop a Framework and Agent-Based Model to simulate flow shop production line and investigate the disruptions consequences and recovery strategy. An experimental case study using an Original Equipment Manufacturer (OEM) factory for automotive parts is adopted to verify and validate the proposed system. The new understanding presented in this work offers informed decision-making policies for manufacturing production activities.

Original language	English
Title of host publication	ICIT 2017 - 8th International Conference on Information Technology, Proceedings
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	978-1-5090-6332-1
ISBN (Print)	978-1-5090-6333-8
DOIs	https://doi.org/10.1109/ICITECH.2017.8079943
Publication status	Published - 17 May 2017
Event	2017 8th International Conference on Information Technology - Duration: 17 May 2017 → 18 May 2017

Conference

Conference	2017 8th International Conference on Information Technology
Abbreviated title	ICIT 2017
Period	17/05/17 → 18/05/17

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10.1109/ICITECH.2017.8079943

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title = "Agent based model for complex flow shop manufacturing systems with customer-related production disruptions",

abstract = "There have been number of frameworks and approaches proposed for the study of complex flow shop manufacturing systems. However, due to the continuous effects of customer disruptions such as cancellation, change in sequence and due time on flow shop production, there arise need to develop an adaptive system to respond to the effect of such disruptions. In this ongoing PhD work, we develop a Framework and Agent-Based Model to simulate flow shop production line and investigate the disruptions consequences and recovery strategy. An experimental case study using an Original Equipment Manufacturer (OEM) factory for automotive parts is adopted to verify and validate the proposed system. The new understanding presented in this work offers informed decision-making policies for manufacturing production activities.",

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booktitle = "ICIT 2017 - 8th International Conference on Information Technology, Proceedings",

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AU - Adediran, T.V.

AU - Al-Bazi, Ammar

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N2 - There have been number of frameworks and approaches proposed for the study of complex flow shop manufacturing systems. However, due to the continuous effects of customer disruptions such as cancellation, change in sequence and due time on flow shop production, there arise need to develop an adaptive system to respond to the effect of such disruptions. In this ongoing PhD work, we develop a Framework and Agent-Based Model to simulate flow shop production line and investigate the disruptions consequences and recovery strategy. An experimental case study using an Original Equipment Manufacturer (OEM) factory for automotive parts is adopted to verify and validate the proposed system. The new understanding presented in this work offers informed decision-making policies for manufacturing production activities.

AB - There have been number of frameworks and approaches proposed for the study of complex flow shop manufacturing systems. However, due to the continuous effects of customer disruptions such as cancellation, change in sequence and due time on flow shop production, there arise need to develop an adaptive system to respond to the effect of such disruptions. In this ongoing PhD work, we develop a Framework and Agent-Based Model to simulate flow shop production line and investigate the disruptions consequences and recovery strategy. An experimental case study using an Original Equipment Manufacturer (OEM) factory for automotive parts is adopted to verify and validate the proposed system. The new understanding presented in this work offers informed decision-making policies for manufacturing production activities.

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UR - https://ieeexplore.ieee.org/document/8079943

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DO - 10.1109/ICITECH.2017.8079943

M3 - Conference publication

SN - 978-1-5090-6333-8

BT - ICIT 2017 - 8th International Conference on Information Technology, Proceedings

PB - IEEE

T2 - 2017 8th International Conference on Information Technology

Y2 - 17 May 2017 through 18 May 2017

ER -

Agent based model for complex flow shop manufacturing systems with customer-related production disruptions

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