Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project

Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project

The selection of photovoltaic (PV) modules plays an important role in the design of solar power plants. Given that PV module contributes to financial implications, there is a need to review the selection process suppliers to accelerate the implementation of the project. Therefore, the Analytical Hie...

Full description

Saved in:
Bibliographic Details
Main Author: Zainurita, Mohamed Adnan
Format: Thesis
Language:eng
eng
Published: 2016
Subjects:
HD28-70 Management
Industrial Management
Online Access:https://etd.uum.edu.my/5933/1/s810012_01.pdf
https://etd.uum.edu.my/5933/2/s810012_02.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.5933
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Derasyid, Chek
Ramli, Razamin
topic HD28-70 Management
Industrial Management
spellingShingle HD28-70 Management
Industrial Management
Zainurita, Mohamed Adnan
Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project
description The selection of photovoltaic (PV) modules plays an important role in the design of solar power plants. Given that PV module contributes to financial implications, there is a need to review the selection process suppliers to accelerate the implementation of the project. Therefore, the Analytical Hierarchy Process (AHP) has been identified as a decision-making structure that can be used by the solar plant. Basically, AHP uses a structured way for a complex problem with maintaining the simplicity and flexibility of the analysis process. The results obtained in this process can helps in the selection of suppliers to provide a qualitative and quantitative assessment. It can also be used as a reference for other projects in different locations and PV system design. In addition, this study can provide useful information on the performance of the power generation plant for several years with the use of current PV modules. A set of criteria that can be trusted to make decisions that have been identified, namely the financial aspect, the aspect of quality, support resources, capacity aspects, management aspects, and outsourcing aspects. It can be said that by using AHP model can give the rating position and selection of suppliers for Perlis Solar Plant Project. Therefore, the decision making process can be improved and more systematic.
format Thesis
qualification_name masters
qualification_level Master's degree
author Zainurita, Mohamed Adnan
author_facet Zainurita, Mohamed Adnan
author_sort Zainurita, Mohamed Adnan
title Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project
title_short Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project
title_full Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project
title_fullStr Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project
title_full_unstemmed Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project
title_sort supplier selection for solar photovoltaic (pv) module using analytical hierarchy process: perlis solar plant project
granting_institution Universiti Utara Malaysia
granting_department School of Business Management
publishDate 2016
url https://etd.uum.edu.my/5933/1/s810012_01.pdf
https://etd.uum.edu.my/5933/2/s810012_02.pdf
_version_ 1747827994536181760
spelling my-uum-etd.59332021-12-08T03:15:42Z Supplier selection for solar photovoltaic (PV) module using analytical hierarchy process: Perlis Solar Plant Project 2016 Zainurita, Mohamed Adnan Derasyid, Chek Ramli, Razamin School of Business Management Othman Yeop Abdullah Graduate School of Business HD28-70 Management. Industrial Management The selection of photovoltaic (PV) modules plays an important role in the design of solar power plants. Given that PV module contributes to financial implications, there is a need to review the selection process suppliers to accelerate the implementation of the project. Therefore, the Analytical Hierarchy Process (AHP) has been identified as a decision-making structure that can be used by the solar plant. Basically, AHP uses a structured way for a complex problem with maintaining the simplicity and flexibility of the analysis process. The results obtained in this process can helps in the selection of suppliers to provide a qualitative and quantitative assessment. It can also be used as a reference for other projects in different locations and PV system design. In addition, this study can provide useful information on the performance of the power generation plant for several years with the use of current PV modules. A set of criteria that can be trusted to make decisions that have been identified, namely the financial aspect, the aspect of quality, support resources, capacity aspects, management aspects, and outsourcing aspects. It can be said that by using AHP model can give the rating position and selection of suppliers for Perlis Solar Plant Project. Therefore, the decision making process can be improved and more systematic. 2016 Thesis https://etd.uum.edu.my/5933/ https://etd.uum.edu.my/5933/1/s810012_01.pdf text eng public https://etd.uum.edu.my/5933/2/s810012_02.pdf text eng public masters masters Universiti Utara Malaysia Alexandra, M. N., & Horaţiu, R. (2014). The current context and future trends of the photovoltaic business models in Central and Eastern Europe: Case study. Grid and Renewable Energy, 5, 43-51. Al‐Tabtabai, H. M., & Thomas, V. P. (2004). Negotiation and resolution of conflict using AHP: an application to project management, Engineering, Construction and Architectural Management, 11(2), 90-100. Amin, N., Lung, C. W., & Sopian, K. (2009). A Practical field study of various solar cells on their performance in Malaysia. Renewable Energy, 34(8), 1939-1946. Amer, M. D., & Daim, T. (2011). Selection of renewable energy technologies for a developing county: A case of Pakistan. Energy Sustainable Development, 15(4), 420-435. Arbel, A., & Seidmann, A. (1990). An application of the AHP to bank strategic planning: The mergers and acquisitions process. European Journal of Operational Research, 27, 27-37. Association of Project Management (APM) (1995). Body of Knowledge (BoK) (revised version 2). Retrieved from https://www.apm.org.uk/category/ apm-terms/apmbody-knowledge. Atkinson, R. (1999). Project management: Cost, time and quality, two best guesses and a phenomenon: It’s time to accept other success criteria. International Journal of Project Management, 17(6), 337-342. Baker, B. N., Murphy, D. C., and Fisher, D. (1997) Factors Affecting Project Success, in Project Management Handbook, Second Edition (eds D. I. Cleland and W. R. King), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470172353.ch35. Boran, F. E., Genç, S., & Akay, D. (2011).Personnel selection based on intuitionistic fuzzy sets. Human Factors and Ergonomics in Manufacturing & Service Industries, 21, 493–503. Bowden, S., Honsberg, C., & Schroder, D. (2010). Moore’s Law of Photovoltaics, Future Photovoltaics, 1, 1-17. Belassi, W., & Tukel, O. I. (1996). A new framework for determining critical success/failure factors in projects. International Journal of Project Management, 14(3), 141-152. Brabec, C. (2004). Organic photovoltaics: Technology and market. Solar Energy Materials and Solar Cells, 83(2-3), 273-292. Braun W., & Skinner, D. E. (2007). Experience scaling‐up manufacturing of emerging photovoltaic technologies. NREL Technical Monitor. Retrieved from http://www.nrel.gov/docs/fy07osti/39165.pdf. British Standards Institution (2015). Project management: Principles and guidelines for the management of projects. BS 6079-1:2010. United Kingdom: BSI Standard Publication. Cantrill, J. A., Sibbald, B., & Buetow S. (1996). The Delphi and nominal group techniques in health services research. International Journal of Pharmacy Practice, 4, 67-74. Cavallaro, F. (2010). A comparative assessment of thin‐film photovoltaic production processes using the ELECTRE III method. Energy Policy, 38(1), 463-474. Cattani, G., Ferriani, S., Frederiksen, L., & Florian, T. (2011). Project-based organizing and strategic management. Advances in Strategic Management, 28, 15-29. Cell, Modul, & Array (n.d). Florida Solar Energy Centre. Retrieved from http://www.fsec.ucf.edu/en/consumer/solar_ electricity/basics/cells_modules_arrays.htm. Cheng, E. W. L., & Li, H. (2002). Construction partnering process and associated critical success factors: A quantitative investigation. Journal of Management in Engineering, 18(4), 194-202. Chiou, H. K., & Tzeng G. H. (2002). Fuzzy multiple-criteria decision-making approach for industrial green engineering. Environmental Management, 30(6), 816-830. Chunduri, S. K. (2012). The bigger, the better: Market survey on crystal growth equipment. Photon International, 10, 158-179. Curtright, A. E., Morgan, M. G., & Keith, D. W. (2008). Expert assessments of future photovoltaic technologies. Environmental Science and Technology, 42(24), 9031-9038. Degroat, K., Morabito, J., Peterson, T., & Smestad, G. P. (2009). Systems analysis and recommendations for R&D and accelerated deployment of solar energy. Sol Ideas Technology & Solar Energy Materials and Solar Cells Journal. Retrieved from http://www.solideas.com/papers/prm2009_morabito_ sigmaxi.pdf. Doukas, H. C., Andreas, B. M., & Psarras, J. E. (2007). Multi‐criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables. European Journal of Operational Research, 182(2), 844-855. Dupuis, R. D., & Krames, M. R. (2008). History, development, and applications of high-brightness visible light-emitting diodes. Journal of Lightwave Technology, 26(9), 1154-1171. Farzad, T., Mohamad, R. O., Aidy, A., & Rosnah, M. Y. (2007). A review of supplier selection method in manufacturing industries. Suranaree Journal of Science Technology, 15(3), 201-208. Forman, E., & Peniwati, K. (1998). Aggregating individual judgments and priorities with the analytic hierarchy process. European journal of operational research, 108(1), 165-169. Fortune, J., & White, D. (2006). Framing of project critical success factors by a systems model. International Journal of Project Management, 24(1), 53-65. Häder, M. (2009). Delphi surveys: A Workbook (2nd Edition). German: VS Verlag für Sozialwissenschaften. He, Y. Y., Zhou, D. Q., & Gong, Z. W. (2010). The fuzzy TOPSIS decision method and experimental analysis. Systems Engineering, 28(22), 95-103. Hsia, K. H., Chen, M. Y., & Chang, M. C. (2008). Comments on data pre-processing for grey relational analysis. Journal of Grey System, 7(1), 15-20. Hsieh, T.Y., Lu, S.T., and Wu, C.H. (2004). Statistical analysis of causes for change orders in metropolitan public works. International Journal of Project Management, 22, 679-686. Harrison, F. L., & Dennis, L. (2004). Advanced project management: A structured approach. USA: Gower Publishing. Hren, R. (2011). Understanding PV Module Specifications. Home Power – Issue, 145, 96-102. Iwahashi, T., Morishima, M., Fujibayashi, T., Yang, R., Lin, J., & Matsunaga, D. (2015). Silicon nitride anti-reflection coating on the glass and transparent conductive oxide interface for thin film solar cells and modules. Journal of Applied Science, 118, 145302. Globerson, S., & Zwikael, O. (2002). Impact of the project manager on project management planning processes. Project Management Journal, 33(3), 58-64. Globerson, S. & Zwikael, O., (2006). From critical success factors to critical success processes. International Journal of Production Research, 44(17), 3433-3449. Gungor, Z., Serhadlıog, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing Journal, 9, 641-646. James, P. L. (2000). The project manager's desk reference: A comprehensive guide to project planning, scheduling, evaluation, and systems (2nd Edition). Boston, Mass: McGraw-Hill. Jia, J., Tong, C., Wang, B., Luo, L. and Jiang, J. (2004). Hedgehog signalling activity of Smoothened requires phosphorylation by protein kinase A and casein kinase I. Nature, 432(70), 1045 -1050. Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy analytic hierarchy process. Logistics Information Management, 16, 382-394. Karsak, E. E. (2002). Distance-based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives. International Journal of Production Research, 40(13), 3167-3181. Kelly, D., & Rice, M. (2002). Advantage beyond founding: The strategic use of technologies. Journal of Business Venturing, 17(1), 41-57. Kerzner, H. (2006). Project management: A systems approach to planning, scheduling, and controlling (9th Edition). Hoboken, New Jersey: John Wiley & Sons. Kim, M., Jang, Y., & Lee. S. (2013). Application of Delphi-AHP methods to select the priorities of WEEE for recycling in a waste management decision-making tool. Journal of Environment Management, 128, 941-948. Ko, R.K.L., Lee, S.S.G., & Lee, E.W. (2009). Business process management (BPM) standards: a survey, Business Process Management Journal, 15(5), 744 - 791 Krajewski, L. J., & Ritzman, L. P. (2005). Operations management: Processes and value chains. Upper Saddle River, New Jersey: Prentice Hall. Kwiesielewicz, M., & Uden, E.V. (2004). Inconsistent and contradictory judgments in pairwise comparison method in the AHP, Computers & Operations Research, 31(5), 713–719. Lai, V. S., Wong, B. K., & Cheung W. (2002). Group decision making in a multiple criteria environment: A case using the AHP in software selection, European Journal of Operational Research, 137(1), 134–144. Lankford, W. M., Parsa, F. (1999). Outsourcing: a primer. Management Decision, 37(4), 310 – 316. Lasch, R., & Janker, C. G. (2004). Supplier selection and controlling using multivariate analysis. International Journal of Physical Distribution & Logistics Management, 35(6), 409-425. Li, M. (2013). A multi-criteria group decision making model for knowledge management system selection based on TOPSIS with multiple distances in fuzzy environment. Kybernetesm, 42(8), 1218-1234. Liu, F. H. F., & Hai, H. L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97(3), 308-317. Ma, D., Chang, C., and Hung, S. (2013). The selection of technology for late-starters: a case study of the energy-smart photovoltaic industry. Econ Model, 35, 10-20. Mabey, C., Skinner, D., & Clark, T.A.R. (1998). Experiencing human resource management. London: Sage Publishing. Madlener, R., Kowalski, K., & Stagl, S. (2007). New ways for the integrated appraisal of national energy scenarios: The case of renewable energy use in Austria, Energy Policy, 35(12), 6060–6074. Mahdi, K. A. (2002). Project selection by analytical hierarchy process: Case study-Kuwait’s power station air pollution control. Management Institute, 3, 67-72. Masson, G., Latour, M., & Biancardi, D. (2012). Global market outlook for photovoltaics until 2016. Retrieved from http://www.epia.org/uploads/tx_ epiapublications/Global-Market-Outlook-2016.pdf. Mattiussi, A., Rosano, M., and Simeoni, P. (2014). A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: an Australian case study. Decision Support System, 57, 150-159. McAloone, T. C., & Bey, N. (2009). Environmental improvement through product development: A guide. Copenhagen: Danish Environmental Protection Agency. Meland, H. O., Robertsen, K., & Hannas, O. (2011). Management and Innovation for a Sustainable Built Environment, International Conference on Management and Innovation for a Sustainable Built Environment, June 20–23, 2011, Amsterdam, Netherlands. Meredith, J. R., & Mantel, S. J. (1995). Project management: A managerial approach. Wiley: New York, NY. Min, H. (1992). Selection of Software: The Analytic Hierarchy Process, International Journal of Physical Distribution & Logistics Management, 22(1), 42-52. Monczka, R. M., Trent, R., & Handfield, R. (1998). Purchasing and Supply Chain Management, International Thomson publishing: USA. Mostofi, M., Nosrat, A. H., & Pearce, J. M. (2011). Institutional-scale operational symbiosis of photovoltaic and cogeneration energy systems. International Journal of Environmental Science and Technology, 8(1), 31-44. Motta, G. S., & Quintella R. H. (2012). Assessment of non-financial criteria in the selection of investment projects for seed capital funding: The contribution of scientometrics and patentometrics. Journal of Technology Management & Innovation, 7(3), 5-7. Munns, A., & Bjeirmi, B. (1996). The role of project management in achieving project success. International Journal of Project Management, 14(2), 81-87. Nelson, B. (2010). Standards can take PV to its gold medal game, Future Photovoltaics, 1, 1-7. Omkarprasad, S. V., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169, 1-29. Ozcan, K., & Suzan, A. O. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Application, 38(8), 9656-9664. Pablo, A. B., Fidel, C. G., Juan-Pascual, P. F., & Andrea, P. R. (2014). An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 6, 222-238. Packendorff, J. (1995). Inquiring into the temporary organization: New directions for project management research. Scandinavian Journal of Management, 11(4), 319-333. Palcic, I., & Lalic., B. (2009). Analytical hierarchy process as a tool for selecting and evaluating projects. Journal of Management, 3, 45-53. Papadakis, V. (1995). The Contribution of Formal Planning Systems to Strategic Investment Decision-Making. British Journal of Management. 6(2), 15-28. Park, J., Shin, K., Chang, T. W. & Park, J. (2010). An integrative framework for supplier relationship management, Industrial Management & Data Systems, 10(4), 495-515. Pearce, J. (2002). Photovoltaics - A path to sustainable futures. Science, Technology, and Society Futures, 34(7), 663-674. Pinto, J. K., & Slevin, D.P. (1987). Critical factors in successful project implementation. IEEE Transactions on Engineering Management, 34(1), 22-7. Pinto, J. (2007). Project management: Achieving competitive advantage. UK: Pearson Education. Pirdashti, H., Tahmasebi-Sarvestani, Z., & Bahmanyar, A. (2009). Comparison of physiological responses among four contrast rice cultivars under drought stress conditions .World academy of science Engineering and technology, 49, 52-54. Quota for 20MW Solar Photovoltaic released by SEDA Malaysia taken up within an hour (2013, 5 April), SEDA Portal. Retrieved from http://seda.gov.my/?omaneg=000101000000010101010001 00001000000000000000000000&s=2730. Rahaman, M. M., Abdullah, M., & Rahman, A. (2011). Measuring service quality using SERVQUAL model: A study on PCBs (private commercial banks) in Bangladesh. Business Management Dynamics, 1(1), 1-11. Render, B. & Stair, R. M. (2000), Quantitative Analysis Management, 7th Edition. Englewood Cliffs, NJ: Prentice‐Hall. Rolstadås, A., Tommelein, I., Schiefloe, P. M., & Ballard, G. (2014). Understanding project success through analysis of project management approach. International Journal of Managing Projects in Business, 7(4), 638-660. Rouse, M. (2006). Capacity planning. Retrieved from http://searchenterprisewan.techtarget.com/definition/capacity-planning. Runyon, J. (2013). Solar PV module quality concerns still exist for developing world. Retrieved from http://www.renewableenergyworld.com/articles/print/volume-16/issue-5/solar-energy/solar-pv-module-quality-concerns-still-exist-fordeveloping-word. html. Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281. Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw Hill. Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. Interfaces, 24(759), 9-26. Sari, K. (2013). Selection of RFID solution provider: A fuzzy multi-criteria decision model with Monte Carlo simulation. Kybernetes, 42(3), 448-465. Schwartz, L. (2010). Chinese firms developing solar power plants for less than 1 Yuan per kWh? Retrieved from http://www.renewableenergyworld.com/ rea/news/article/2010/09/chinesefirms‐developing‐ solar‐power‐plants‐for‐less‐than‐1‐yuan‐perkwh? cmpid=WNL. Short, W., Packey, D. J., & Holt, T. A. (1995). Manual for the economic evaluation of energy efficiency and renewable energy technologies, Report NREL/TP-462-5173. Retrieved from http://www.nrel.gov/docs/legosti/old/5173.pdf. Singh, S., & Dixit, P. K. (2011). Employee involvement. International Journal of Business & Management Research, 1(8), 203-215. Solar sales: Positive tolerance (2016, 16 May), Workshop Solar Design Tool. Retrieved from http://easysolar-app.com/solar-sales-tips-positivetolerance/. Swinscow, T. D., & Campbell, M. J. (2003). Statistics at square one. 10th Edition. New Delhi, India: Viva Books Private Limited. Subramaniam, V. (2010). Competency-based candidate selection model for teacher training program. Unpublished master thesis, College of Arts and Sciences, Universiti Utara Malaysia. Suedel, B. C., Kim, J., & Banks, C. J. (2009). Comparison of the Direct Scoring Method and Multi-Criteria Decision Analysis for Dredged Material Management Decision Making (No. ERDC-TN-DOER-R13). Engineer Research and Development Centre Vicksburg MS Environmental Lab. Tam, M. C. Y., & Tummala, V. M. R. (2001). An application of the AHP in supplier selection of a telecommunications system. Omega, 29, 171-182. Triantaphyllou, E. (2002). Multi-criteria decision making methods: A comparative study. New York: Springer Understanding Potential Induced Degradation (n.d). Retrieved from http://solarenergy.advanced-energy.com/upload/File/ White_Papers/ENG-PID-270-01%20web.pdf Wheelen, T. & David, H. (2000). Strategic Managemen: Business policy. USA: Prentice Hall. Yong, T., Honghang, S., Qiang, Y., & Yibo, W. (2014). The selection of key technologies by the silicon photovoltaic industry, based on the Delphi method and AHP (analytic hierarchy process): Case study of China. Energy, 75, 474–482. Yakhlef, A. (2009). Outsourcing as a mode of organizational learning. International Journal/Case Study, 2(1), 37-53. Yusuff, R. D., & Poh Yee, K. (2001). A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation. Robotics and Computer Integrated Manufacturing, 17, 421-427. Vijay, R. K., & Tan, K. C. (2003). Attitudes of US and European managers to supplier selection and assessment and implications for business performance. Benchmarking: An International Journal, 10(5), 472-489. Zahedi, F. (1986). The analytic hierarchy process: A survey of the method and its applications. Interfaces, 16(4), 96-108. Zikmund, W. G. (2010). Management business research methods (8th Edition). Mason, Ohio: South-Western: Cengage Learning.

Similar Items