Best project selection by using of Group TOPSIS method
Conference paper
Daniel, J., Mojahed, M. and Yusuff, R. M. 2009. Best project selection by using of Group TOPSIS method. 2009 International Association of Computer Science and Information Technology - Spring Conference. IEEE. https://doi.org/10.1109/IACSIT-SC.2009.119
| Authors | Daniel, J., Mojahed, M. and Yusuff, R. M. |
|---|---|
| Type | Conference paper |
| Abstract | Selecting projects is an important problem, yet often difficult task. It is complicated because there is usually more than one dimension for measuring the impact of each project and especially when there is more than one decision maker. This paper considers a real application of project selection for telecommunication projects with using the opinion of experts by one of the group decision making model, it is called TOPSIS method. Four kinds of criteria include qualitative, quantitative, negative and positive criteria have been considered for selecting the best one amongst five projects and ranking them. We have also used from three expert's opinion in cable network. Finally the introduced method is used in a case study (telecommunication sector) and extracted results from it are analyzed from different points of view. |
| Keywords | decision making; MCDM; project selection |
| Year | 2009 |
| Conference | 2009 International Association of Computer Science and Information Technology - Spring Conference |
| Publisher | IEEE |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/IACSIT-SC.2009.119 |
| Web address (URL) | https://ieeexplore.ieee.org/document/5169309 |
| ISBN | 9780769536538 |
| Output status | Published |
| Publication dates | 2009 |
| Publication process dates | |
| Deposited | 17 Jun 2022 |
Permalink -
https://repository.derby.ac.uk/item/97310/best-project-selection-by-using-of-group-topsis-method
50
total views0
total downloads0
views this month0
downloads this month
Export as
Related outputs
Collaborative forecasting model in supply chain
Maroun, E. and Daniel, J. 2024. Collaborative forecasting model in supply chain. Decision Sciences Institute.Enabling distributed manufacturing through digital skills development
Daniel, J., Conway, E., Chaudhuri, A. and Adeel, U. 2024. Enabling distributed manufacturing through digital skills development. EDSI 2024 - THE SCIENCE OF RESPONSIBLE DECISIONS . European Decision Sciences Institute (EDSI).Evaluation of the impact of implementing a new digital communication platform in hospital workflow
Lawson, A., Zaib, J. and Daniel, J. 2023. Evaluation of the impact of implementing a new digital communication platform in hospital workflow. The British Academy of Management (BAM) Conference. Newcastle 06 - 08 Sep 2016 British Academy of Management (BAM).Judgemental Adjustments in Forecasting Uncertain Product Demand
Abou Maroun, E. and Daniel, J. 2023. Judgemental Adjustments in Forecasting Uncertain Product Demand. 13th Annual European Decision Sciences Conference. Decision Sciences Institute.Business Analytics and Visualisation in the Supply Chain: Literature Survey and Case study
Daniel, J., Abou Maroun, E. and Stapleton, A. 2023. Business Analytics and Visualisation in the Supply Chain: Literature Survey and Case study. 13th Annual European Decision Sciences Conference. Decision Sciences Institute.Exploring Inventory Leanness on Firm Performance with a Non-linear Empirical Leanness Indicator using Kernel Regularized Least Squares (KRLS) Regression
Nandialath, A., Stapleton, A., Daniel, J. and Mohapatra, P. 2023. Exploring Inventory Leanness on Firm Performance with a Non-linear Empirical Leanness Indicator using Kernel Regularized Least Squares (KRLS) Regression. European Decision Sciences Institute (EDSI).Q-commerce or E-commerce? A systematic state of the art on comparative last-mile logistics greenhouse gas emissions literature review
Harshal Pandurang Gund and Jay Daniel 2023. Q-commerce or E-commerce? A systematic state of the art on comparative last-mile logistics greenhouse gas emissions literature review. International Journal of Industrial Engineering and Operations Management. pp. 1-23. https://doi.org/10.1108/ijieom-01-2023-0001Digital Asset Marketing: Traceability as a competitive advantage in a low carbon economy
Hirst, A., Veasey, C. and Daniel, J. 2023. Digital Asset Marketing: Traceability as a competitive advantage in a low carbon economy. AM2023. From Revolution to Revolutions, University of Birmingham, UK, 3-6 July 2023, Academy of Marketing. University of Birmingham .
Decarbonising supply chain operations
Daniel, Jay and Dissanayake, C. Kalpani 2021. Decarbonising supply chain operations.How to Improve Data Quality in Supply Chain? A Literature Survey
Daniel, Jay and Satpleton, Drew 2021. How to Improve Data Quality in Supply Chain? A Literature Survey.Do Pandemic Related Datasets with High Artificial Control Still Follow the Benford’s Law?
Dissanayake, C. Kalpani and Daniel, Jay 2021. Do Pandemic Related Datasets with High Artificial Control Still Follow the Benford’s Law?Blockchain Technology for Businesses: Trends and Research Themes
Daniel, Jay 2021. Blockchain Technology for Businesses: Trends and Research Themes.Supply Chain Mapping and Visualisation of UK Rail Sector
Rajeev, Rohit and Daniel, Jay 2021. Supply Chain Mapping and Visualisation of UK Rail Sector.Strategic planning for repurposing kitchen equipment production operations during COVID-19 pandemic
González-Aleu, F, Hernandez, J.V., Ramirez, R., Linares, C.M., Peinado, J.A. and Jay Daniel 2022. Strategic planning for repurposing kitchen equipment production operations during COVID-19 pandemic. Operations Management Research. https://doi.org/10.1007/s12063-022-00292-6Exploring Blockchain technology and sustainability in supply chain
Daniel, J. and Maroun, E. 2022. Exploring Blockchain technology and sustainability in supply chain. 12th European Decision Sciences Conference. European Decision Sciences Institute (EDSI).Uncovering barriers in forecasting uncertain product demand in the supply chain
Maroun, E. and Daniel, J. 2022. Uncovering barriers in forecasting uncertain product demand in the supply chain. 12th European Decision Sciences Conference. European Decision Sciences Institute (EDSI).Blockchain Technology: How to Unblock the chain!
Daniel, J. 2022. Blockchain Technology: How to Unblock the chain! China-Britain Business Council.Barriers in forecasting uncertain product demand in the supply chain
Maroun, E. and Daniel, J. 2022. Barriers in forecasting uncertain product demand in the supply chain. Proceedings of the 2022 International Conference of the Production and Operations Management Society (POMS). Production and Operations Management Society (POMS).Blockchain and sustainability: Can blockchain technology improve supply chain sustainability?
Daniel, J. and Maroun, E. 2022. Blockchain and sustainability: Can blockchain technology improve supply chain sustainability? International Conference of the Production and Operations Management Society (POMS). Production and Operations Management Society (POMS).How will Blockchain Technology Transform Supply Chains? Science mapping on Blockchain Technology
Daniel, Jay 2021. How will Blockchain Technology Transform Supply Chains? Science mapping on Blockchain Technology.A case study for merging supply chain and blockchain in Australian manufacturer
Daniel, Jay, Maroun, E and Fynes, B 2021. A case study for merging supply chain and blockchain in Australian manufacturer.The Reciprocal Relationship between Containers Overboard and Climate Change
Daniel, J., Stapleton, K. A., Stapleton, D., Nandialath, A., M. and Franklin, D. 2021. The Reciprocal Relationship between Containers Overboard and Climate Change. Journal of Transportation Law, Logistics, and Policy. 88 (1), pp. 51-65.Developing a conceptual model to evaluate green suppliers: Decision making method using DEMATEL
Daniel, J. and Talaei-Khoei, A. 2016. Developing a conceptual model to evaluate green suppliers: Decision making method using DEMATEL. AIS Electronic Library (AISeL).Sustainable supply chain analytics: Grand challenges and future opportunities
Taghikhah, Firouzeh, Daniel, Jay and Mooney, Grant 2017. Sustainable supply chain analytics: Grand challenges and future opportunities.Profit, planet and people in supply chain: grand challenges and future opportunities
Taghikhah, Firouzeh, Daniel, Jay and Mooney, Grant 2017. Profit, planet and people in supply chain: grand challenges and future opportunities.Can Facebook Improve Students’ Engagement in Flipped Classes? Community of Inquiry Approach
Amir Talaei-Khoei, Jay Daniel and Mohsen Dokhanchi 2020. Can Facebook Improve Students’ Engagement in Flipped Classes? Community of Inquiry Approach. 53rd Hawaii International Conference on System Sciences. HICSS. https://doi.org/10.24251/hicss.2020.003Developing a new multidimensional model for selecting strategic plans in balanced scorecard
Daniel, J. and Merigó. J.M. 2020. Developing a new multidimensional model for selecting strategic plans in balanced scorecard. Journal of Intelligent & Fuzzy Systems. 40 (2), pp. 1817-1826. https://doi.org/10.3233/jifs-189188Blockchain in Supply Chain Management: Australian Manufacturer Case Study
Elias Abou Maroun, Jay Daniel, Didar Zowghi and Amir Talaei-Khoei 2019. Blockchain in Supply Chain Management: Australian Manufacturer Case Study. in: ASSRI and Springer.The application of big data and AI in the upstream supply chain
Hanson-New, Colin and Daniel, Jay 2019. The application of big data and AI in the upstream supply chain. LRN Conference Proceedings.Adoption of blockchain technology in supply chain transparency: Australian manufacturer case study
Maroun, Elias A., Daniel, Jay and Fynes, Brian 2019. Adoption of blockchain technology in supply chain transparency: Australian manufacturer case study. Proceedings of the 10th European Decision Sciences Institute (EDSI).An investigation of supply chain operational improvements for small and medium enterprises (SMEs): A UK manufacturing case study
Sawe, Fredrick and Daniel, Jay 2019. An investigation of supply chain operational improvements for small and medium enterprises (SMEs): A UK manufacturing case study. Proceedings of the 3rd European Conference on Industrial Engineering and Operations Management (IEOM)..Opportunities for use of blockchain technology in supply chains: Australian manufacturer case study
Maroun, E.A and Daniel, Jay 2019. Opportunities for use of blockchain technology in supply chains: Australian manufacturer case study. Proceedings of the 9th International Conference on Industrial Engineering and Operations Management (IEOM).Optimisation of a distribution system in the retail industry: An Australian retail industry
Amjad, M., Daniel, J. and Garza-Reyes, J.A. 2019. Optimisation of a distribution system in the retail industry: An Australian retail industry. 9th International Conference on Industrial Engineering and Operations Management (IEOM). IEOM Society.Improving the Reliability of Warehouse Operations in the 3PL Industry: An Australian 3PL Case Study
Ho, T.H.D., Daniel, J., Nadeem, S.P., Garza-Reyes, J.A. and Kumar, V. 2019. Improving the Reliability of Warehouse Operations in the 3PL Industry: An Australian 3PL Case Study. 2018 International Conference on Production and Operations Management Society, POMS 2018. IEEE. https://doi.org/10.1109/poms.2018.8629453Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development
Caihua Liu, Didar Zowghi, Amir Talaei-Khoei and Jay Daniel 2018. Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development. University of Hawaii. https://doi.org/10.24251/hicss.2018.357Data completeness in healthcare: A literature survey.
Liu, Caihua, Talaei-Khoei, Amir, Zowghi, Didae and Daniel, Jay 2017. Data completeness in healthcare: A literature survey. Pacific Asia Journal of the Association for Information Systems.A Fuzzy Multi-Layer Assessment Method for EFQM
Jay Daniel, Mohsen Naderpour and Chin-Teng Lin 2018. A Fuzzy Multi-Layer Assessment Method for EFQM. IEEE Transactions on Fuzzy Systems. 27 (6), pp. 1252 - 1262. https://doi.org/10.1109/tfuzz.2018.2874019Logistics and supply chain management investigation: A case study.
Dao, Ngoc Hong Tam, Daniel, Jay, Hutchinson, Stephen and Naderpour, Mohsen 2018. Logistics and supply chain management investigation: A case study. Springer. https://doi.org/10.1007/978-3-319-76587-7_15Students' learning experience in flipped classes using social media
Talaei-Khoei, A., Daniel, J. and Dokhanchi, M. 2018. Students' learning experience in flipped classes using social media. Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Association for Information Systems.