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Effect of Reconfiguration Characteristics on Manufacturing System Capacity Selection


Effect of Reconfiguration Characteristics on Manufacturing System Capacity Selection

Niroomand, Iman (2013) Effect of Reconfiguration Characteristics on Manufacturing System Capacity Selection. PhD thesis, Concordia University.

Text (application/pdf)
Niroomand_PhD_F2013.pdf - Accepted Version


The increasing frequency of new product introductions force today's companies to continuously upgrade their production capacities. The frequent revision of production capacities and the capacity loss during this period increase the importance of ramp up duration in evaluating capacity investments. This thesis aims to explore how a firm should optimally allocate its capacity investments among different manufacturing systems considering the capacity evolution in ramp up period. The proposed models in this thesis address a production facility making products that has a specific life cycle pattern.
In this study, the duration of reconfiguration period for reconfigurable manufacturing system (RMS) is modeled as a function of the amount of capacity change. Through a sensitivity analysis, the impact of reconfiguration on the selection of manufacturing systems has been analyzed with respect to different product life cycle patterns.
Through a mixed integer programming model, a various ramp up time patterns are taken into account and a more suitable reconfiguration type for a manufacturer in terms of system layout and response range is analyzed.
Finally, the response time of a system is considered in the context of a supply chain network to improve the supply chain responsiveness. The appropriate response speed is selected through a decision tree analysis and based on the expected cost of the supply chain. The results show a faster response speed is a better choice as the failure probability of main supply node increases and/or the recovery of the main supply node decreases.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (PhD)
Authors:Niroomand, Iman
Institution:Concordia University
Degree Name:Ph. D.
Program:Mechanical Engineering
Date:7 April 2013
ID Code:977319
Deposited On:13 Jan 2014 15:26
Last Modified:18 Jan 2018 17:44
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