A value-driven approach for optimizing reliability-redundancy allocation problem in multi-state weighted k-out-of-n system
- Authors: Khorshidi, Hadi , Gunawan, Indra , Ibrahim, Yousef
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Manufacturing Systems Vol. 40, no. (2016), p. 54-62
- Full Text: false
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- Description: This study concentrates on optimizing a multi-state weighted k-out-of-n system consisting of different types of reparable components. An optimization model is developed to decide upon both optimal redundancy allocation and best maintenance activities for reliability allocation. The optimization model is to maximize system reliability and minimize system cost simultaneously. To reach this goal, a financial view has been employed to estimate the system reliability, and combine it with system cost. The proposed model determines the number of each component type in the system, and the maintenance actions and the time at which they should be applied. Also, the model is programmed by MATLAB, and Genetic Algorithm is used to solve a practical case. (C) 2016 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
Applying UGF Concept to Enhance the Assessment Capability of FMEA
- Authors: Khorshidi, Hadi , Gunawan, Indra , Ibrahim, Yousef
- Date: 2016
- Type: Text , Journal article
- Relation: Quality and Reliability Engineering International Vol. 32, no. 3 (Apr 2016), p. 1085-1093
- Full Text: false
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- Description: The purpose of this paper is to propose a modified version of Failure Mode and Effects Analysis (FMEA) to alleviate its drawbacks. FMEA is an important tool in risk evaluation and finding the priority of potential failure modes for corrective actions. In the proposed method, the Universal Generating Function (UGF) approach has been used to improve the assessment capability of the conventional Risk Priority Number (RPN) in ranking. The new method is named as URPN. It generates the most number of unique values in comparison with the previous methods and considers relative importance for the parameters while it is easy to compute. More unique numbers help to avoid from having the same priority level for different failure modes which represent various risk levels. A case study has been employed to demonstrate that the URPN not only can improve the shortcomings but also is able to provide accurate values for risk assessment. Copyright (c) 2015 John Wiley & Sons, Ltd.
Application of neural network approach in construction productivity analysis
- Authors: Gunawan, Indra
- Date: 2010
- Type: Text , Journal article
- Relation: Journal of Management & Engineering Integration Vol. 10, no. 1 (2010), p. 1-11
- Full Text: false
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Managing complex engineering projects with design structure matrix methods
- Authors: Gunawan, Indra
- Date: 2010
- Type: Text , Conference proceedings
- Full Text: false
- Description: In this paper, ways of improving planning, execution and management of complex engineering projects using design structure matrix (DSM) methods: path searching, powers of the adjacency matrix, and reachability matrix are presented. This is done by identifying loops or circuits in the project. The application of the DSM methods to minimize loops or circuits is discussed. As a case study, these methods are implemented to reduce design iterations or rework in a complex engineering project. By applying the DSM methods, the project duration can be minimized and hence the total cost of the project is reduced significantly.
Application of numerical design structure matrix method in engineering projects management
- Authors: Gunawan, Indra
- Date: 2009
- Type: Text , Journal article
- Relation: Operations and Supply chain Management: An International Journal Vol. 2, no. 1 (2009 2009), p. 1-10
- Full Text: false
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- Description: In this paper, ways of improving planning, execution and management of projects using Numerical Design Structure Matrix (NDSM) method are presented to address interdependency of feedback and iteration, which is common in engineering projects management. The NDSM is an alternative approach to traditional project management tools such as Program Evaluation and Review Technique (PERT), Critical Path Method (CPM), and Gantt chart that can only allow the modelling of sequential and parallel processes in projects. As a case study, the model is tested on a set of tasks in a complex petroleum oil field development project, where task sensitivity and information variability attributes are derived. By applying the NDSM method, project duration is optimized and hence total cost of the project is reduced significantly.
Application of numerical design structure matrix method in project management
- Authors: Gunawan, Indra
- Date: 2009
- Type: Text , Conference proceedings
- Full Text: false
Construction productivity analysis of pre-cast and conventional cast-in-situ projects : a case study in Malaysia
- Authors: Gunawan, Indra
- Date: 2009
- Type: Text , Journal article
- Relation: Journal of Management & Engineering Integration Vol. 2, no. 2 (2009), p. 62-66
- Full Text: false
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Implementation of lean manufacturing through learning curve modelling for labour forecast
- Authors: Gunawan, Indra
- Date: 2009
- Type: Text , Journal article
- Relation: International Journal of Mechanical & Mechatronics Engineering Vol. 9, no. 10 (2009), p. 46-52
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- Description: In this paper, an implementation of lean manufacturing through learning curve modelling for labour forecast is discussed. First, various learning curve models are presented. Then the models are analyzed in terms of their advantages and limitations. As a case study, the learning curve modelling is presented with the data derived from a production company. With the application of the learning curve, labour need can be more accurately predicted and scheduled on time.
The Role of industrial engineering in supporting the growth of competitive ICT industry
- Authors: Gunawan, Indra
- Date: 2009
- Type: Text , Journal article
- Relation: Vol. , no. (2009), p.
- Full Text: false
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- Description: Expert Commentary
Application of design structure matrix in project management
- Authors: Gunawan, Indra , Singh, Darius
- Date: 2008
- Type: Text , Conference paper
- Relation: Proceedings of the 17th International Conference on Management of Technology
- Full Text: false
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Implementation of the design structure matrix method in engineering development projects
- Authors: Gunawan, Indra
- Date: 2008
- Type: Text , Journal article
- Relation: Journal of Management & Engineering Integration Vol. 1, no. 1 (2008), p. 39-47
- Full Text: false
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Redundant paths and reliability bounds in gamma networks
- Authors: Gunawan, Indra
- Date: 2008
- Type: Text , Journal article
- Relation: Applied Mathematical modelling Vol. 32, no. (2008 2008), p. 588-594
- Full Text: false
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- Description: Multistage Interconnection Networks (MINs) are network systems providing fast and efficient communications at a reasonable cost. A gamma network is a specific class of MINs, which provides redundant paths in the system. In a gamma network, information from source nodes is transmitted through a specific set of routes to destination nodes. Reliability of an MIN is used as a measure of system’s ability to transform information from input to output devices. Due to the complexity of network configuration and availability of redundant paths, reliability bounds to estimate the exact reliability of a gamma network is proposed. A numerical example of an 8 × 8 gamma network is presented to demonstrate the accuracy of the reliability bounds. When the lower bound reliability provides sufficient assurance that the system will be operational at some specified time and closely approximates the exact reliability, then no further effort for obtaining the exact reliability expression is necessary.
ROI engine : return on investment model for the implementation of maintenance best practices
- Authors: Maffre, Julien , Probst, Rob , Gunawan, Indra , Neitzert, Thomas
- Date: 2008
- Type: Text , Conference paper
- Relation: Proceedings of the Society for Maintenance and Reliability Professionals (SMRP) Annual Conference
- Full Text: false
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