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Dr. S. Nurmaya Musa
Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Jalan Universiti, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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Research Keywords & Expertise

0 Operations research / management science
0 Production engineering (production economics)
0 Production engineering (production and logistics)
0 Plant design (production layout)
0 Engineering sciences, manufacturing and production engineering (manufacturing management)

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Article
Published: 16 June 2021 in Materialwissenschaft und Werkstofftechnik
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The porous copper foam was sandwiched between two coppers plate and then brazed using copper-tin (9.7 %)-nickel (5.7 %)-phosphorus (7 %) filler foil. Brazing process was conducted to joint copper/porous copper foam by evaluating the effect of porous copper foam pore densities [pore per inch (PPI)] and brazing holding times. The brazed joint interface of copper and porous copper foam was characterised using Field emission scanning electron microscopy and Energy-dispersive x-ray spectroscopy for the microstructure and elemental composition analysis, respectively. X-ray diffraction analysis was carried out on the shear fractured surfaces of brazed copper and porous copper foam for phase determination. The results exhibited distinct phases of copper (Cu), copper phosphide (Cu3P), nickel phosphide (Ni3P), and copper compound with tin (6 : 5) (Cu6Sn5). The filler layer was formed as an island-shaped that consists of copper phosphide and nickel phosphide. Prolong brazing holding time causes a thinner filler layer in brazing seam. While the non-uniform thickness of the filler layer was observed at different pore densities of porous copper foam. The shear strength of brazed copper/porous copper foam 15 PPI with a 10 min brazing holding time yield a maximum shear strength of 2.9 MPa.

ACS Style

N.A. Mohd Zahri; N.E. Sahira Shafee; F. Yusof; S. Nurmaya Musa; N. Liana Sukiman; A.S.M.A. Haseeb; Y. Miyashita; T. Ariga. Interfacial microstructure and strength of brazed copper/porous copper foam towards the effect of porous copper foam pore density and brazing holding time. Materialwissenschaft und Werkstofftechnik 2021, 52, 655 -663.

AMA Style

N.A. Mohd Zahri, N.E. Sahira Shafee, F. Yusof, S. Nurmaya Musa, N. Liana Sukiman, A.S.M.A. Haseeb, Y. Miyashita, T. Ariga. Interfacial microstructure and strength of brazed copper/porous copper foam towards the effect of porous copper foam pore density and brazing holding time. Materialwissenschaft und Werkstofftechnik. 2021; 52 (6):655-663.

Chicago/Turabian Style

N.A. Mohd Zahri; N.E. Sahira Shafee; F. Yusof; S. Nurmaya Musa; N. Liana Sukiman; A.S.M.A. Haseeb; Y. Miyashita; T. Ariga. 2021. "Interfacial microstructure and strength of brazed copper/porous copper foam towards the effect of porous copper foam pore density and brazing holding time." Materialwissenschaft und Werkstofftechnik 52, no. 6: 655-663.

Chapter
Published: 01 January 2017 in Decision Management
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Sustainable manufacturing strives to produces the goods by minimizing negative environmental impact and reducing the resource consumptions. It also strives for safety of employee and community while maintaining an affordable cost. This study focuses on the development of a set of measures and metrics for assessing sustainability performance of manufacturing SMEs. In this study, various literatures on sustainable manufacturing performance measurement, green manufacturing, traditional manufacturing performance measurement and performance measurements in manufacturing small and medium enterprises (SMEs) are reviewed. Triple Bottom Line (TBL) is considered as framework in order to establish the relevant measures in an effective and comprehensive manner. The measures for performance measurements are classified in the three aspects of TBL known as economic, environmental and social. Therefore, 6 measures with 26 indicators, 8 measures with 31 indicators and 3 measures with 23 indicators were identified for economic, environmental and social aspects respectively. To establish the importance and applicability of developed measures, a survey will be conducted among the experts from academics and industries. Using survey results, a sustainability performance measurement model will be developed and presented.

ACS Style

Sujit Singh; Ezutah Udoncy Olugu; Siti Nurmaya Musa; Information Resources Management Association. Development of Key Performance Measures for Sustainable Manufacturing in Global SMEs. Decision Management 2017, 1000 -1008.

AMA Style

Sujit Singh, Ezutah Udoncy Olugu, Siti Nurmaya Musa, Information Resources Management Association. Development of Key Performance Measures for Sustainable Manufacturing in Global SMEs. Decision Management. 2017; ():1000-1008.

Chicago/Turabian Style

Sujit Singh; Ezutah Udoncy Olugu; Siti Nurmaya Musa; Information Resources Management Association. 2017. "Development of Key Performance Measures for Sustainable Manufacturing in Global SMEs." Decision Management , no. : 1000-1008.

Chapter
Published: 01 January 2016 in Advances in Logistics, Operations, and Management Science
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Sustainable manufacturing strives to produces the goods by minimizing negative environmental impact and reducing the resource consumptions. It also strives for safety of employee and community while maintaining an affordable cost. This study focuses on the development of a set of measures and metrics for assessing sustainability performance of manufacturing SMEs. In this study, various literatures on sustainable manufacturing performance measurement, green manufacturing, traditional manufacturing performance measurement and performance measurements in manufacturing small and medium enterprises (SMEs) are reviewed. Triple Bottom Line (TBL) is considered as framework in order to establish the relevant measures in an effective and comprehensive manner. The measures for performance measurements are classified in the three aspects of TBL known as economic, environmental and social. Therefore, 6 measures with 26 indicators, 8 measures with 31 indicators and 3 measures with 23 indicators were identified for economic, environmental and social aspects respectively. To establish the importance and applicability of developed measures, a survey will be conducted among the experts from academics and industries. Using survey results, a sustainability performance measurement model will be developed and presented.

ACS Style

Sujit Singh; Ezutah Udoncy Olugu; Siti Nurmaya Musa. Development of Key Performance Measures for Sustainable Manufacturing in Global SMEs. Advances in Logistics, Operations, and Management Science 2016, 210 -218.

AMA Style

Sujit Singh, Ezutah Udoncy Olugu, Siti Nurmaya Musa. Development of Key Performance Measures for Sustainable Manufacturing in Global SMEs. Advances in Logistics, Operations, and Management Science. 2016; ():210-218.

Chicago/Turabian Style

Sujit Singh; Ezutah Udoncy Olugu; Siti Nurmaya Musa. 2016. "Development of Key Performance Measures for Sustainable Manufacturing in Global SMEs." Advances in Logistics, Operations, and Management Science , no. : 210-218.

Journal article
Published: 07 November 2015 in Neural Computing and Applications
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Supplier evaluation and selection is a complicated process which deals with conflicting attributes such as quality, cost. To mitigate the computational complexity, intelligent-based techniques have gained much popularity. But the main shortcoming of the existing models in this regard is to be a black box system. In this paper, we aim to combine analytical hierarchy process with multi-expression programming to both introduce a new evolutionary approach in the field of supplier evaluation and selection and cope with the earlier problem. To show the validity of the model, statistical test was carried out. The finding showed that the proposed model is accurate and acceptable for using in the evaluation process.

ACS Style

Alireza Fallahpour; Ezutah Udoncy Olugu; Siti Nurmaya Musa. A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP). Neural Computing and Applications 2015, 28, 499 -504.

AMA Style

Alireza Fallahpour, Ezutah Udoncy Olugu, Siti Nurmaya Musa. A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP). Neural Computing and Applications. 2015; 28 (3):499-504.

Chicago/Turabian Style

Alireza Fallahpour; Ezutah Udoncy Olugu; Siti Nurmaya Musa. 2015. "A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP)." Neural Computing and Applications 28, no. 3: 499-504.

Journal article
Published: 22 April 2015 in Neural Computing and Applications
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Supplier evaluation plays a critical role in a successful supply chain management. Hence, the evaluation and selection of the right suppliers have become a central decision of manufacturing business activities around the world. Consequently, numerous individual and integrated methods have been presented to evaluate and select suppliers. The current literature shows that hybrid artificial intelligence (AI)-based models have received much attention for supplier evaluation. Integrated data envelopment analysis–artificial neural network (DEA–ANN) is one of the combined methods that have recently garnered great attention from academics and practitioners. However, DEA–ANN model has some drawbacks, which make some limitation in the evaluation process. In this study, we aim at improving the previous DEA–AI models by integrating the Kourosh and Arash method as a robust model of DEA with a new AI approach namely genetic programming (GP) to overcome the shortcomings of previous DEA–AI models in supplier selection. Indeed, in this paper, GP provides a robust nonlinear mathematical equation for the suppliers’ efficiency using the determined criteria. To validate the model, adaptive neuro-fuzzy inference system as a powerful tool was used to compare the result with GP-based model. In addition, parametric analysis and unseen data set were used to validate the precision of the model.

ACS Style

Alireza Fallahpour; Ezutah Udoncy Olugu; Siti Nurmaya Musa; Dariush Khezrimotlagh; Kuan Yew Wong. An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Computing and Applications 2015, 27, 707 -725.

AMA Style

Alireza Fallahpour, Ezutah Udoncy Olugu, Siti Nurmaya Musa, Dariush Khezrimotlagh, Kuan Yew Wong. An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Computing and Applications. 2015; 27 (3):707-725.

Chicago/Turabian Style

Alireza Fallahpour; Ezutah Udoncy Olugu; Siti Nurmaya Musa; Dariush Khezrimotlagh; Kuan Yew Wong. 2015. "An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach." Neural Computing and Applications 27, no. 3: 707-725.

Journal article
Published: 02 October 2014 in Journal of Intelligent Manufacturing
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In this study, the design of a two-echelon distribution supply chain network for the seasonal products with multiple vendors (manufacturers) and buyers (retailers), and a set of warehouses for each vendor are considered. The locations of the buyers are known and the capacity of the warehouses is restricted while the buyers purchase different products from the vendors under all unit discount policy. The main objective of this research is to find out the optimal locations of the potential vendors in addition to the quantity ordered (allocation) by the buyers so that the total inventory cost including ordering (transportation), holding and the purchasing costs is minimized. Besides, the distance from the buyers to the vendors is considered as the Euclidean distance. The total budget to buy the products is limited and the production capacity of each vendor is also restricted. To solve the problem, a modified particle swarm optimization (MPSO) algorithm is applied where the results are validated using a genetic algorithm (GA). Finally, some computational examples are generated to assess the algorithms’ performance where MPSO shows a better efficiency in comparison with the GA.

ACS Style

Seyed Mohsen Mousavi; Ardeshir Bahreininejad; S. Nurmaya Musa; Farazila Yusof. A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network. Journal of Intelligent Manufacturing 2014, 28, 191 -206.

AMA Style

Seyed Mohsen Mousavi, Ardeshir Bahreininejad, S. Nurmaya Musa, Farazila Yusof. A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network. Journal of Intelligent Manufacturing. 2014; 28 (1):191-206.

Chicago/Turabian Style

Seyed Mohsen Mousavi; Ardeshir Bahreininejad; S. Nurmaya Musa; Farazila Yusof. 2014. "A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network." Journal of Intelligent Manufacturing 28, no. 1: 191-206.