انتخاب سیستم برنامه‌ریزی منابع سازمان با بهره‌گیری از روش تلفیقی سوآرا و آراس خاکستری

 

بهبودی اصل، منوچهر؛ رحمانی یوشانلویی، حسین؛ انصاری، منوچهر؛میرکاظمی، محمد. (1391). شناسایی عوامل مؤثر بر انتخاب سیستم‌های برنامه­ریزی منابع سازمانی(ERP) از دیدگاه خبرگان.‎ نشریهمدیریتفناوریاطلاعات، 4(12)،1-22.

فیضی، کامران.، ثابت مطلق، محمد. و عابدینی نائینی، مهدی. (1394). به‌کارگیری رویکرد تلفیقی QFD، FAHP و VIKOR به‌منظور انتخاب مناسب‌ترین سامانه  .ERP مطالعات مدیریت فناوری اطلاعات، 3(10)،1-20.‌

مانیان امیر، موسی خانی محمد، جام پرازمی مونا. (1387). بررسی رابطه بین هم‌راستایی فن‌آوری اطلاعات و کسب‌وکار با عملکرد سازمانی در شرکت‌های فعال در زمینه فناوری؛ اطلاعات با استفاده از مدل معادلات ساختاری. نشریهمدیریتفناوریاطلاعات، 1(3).

Alimardani, M., Zolfani, S. H., Aghdaie, M. H., & Tamošaitienė, J. (2013). A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment. Technological and Economic Development of Economy, 19(3), 533-548.

Asl, M. B., Khalilzadeh, A., Youshanlouei, H. R., & Mood, M. M. (2012). Identifying and ranking the effective factors on selecting Enterprise Resource Planning (ERP) system using the combined Delphi and Shannon Entropy approach. Procedia-Social and Behavioral Sciences, 41, 513-520.

Ayağ, Z. (2010). A combined fuzzy AHP-simulation approach to CAD software selection. International Journal of General Systems, 39(7), 731-756.

Ayağ, Z., & Özdemir, R. G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169-2194.

Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications, 36(5), 8900-8909.

Chang, Y. H. (1998). Transportation plan appraisal and decision making-discussion and application of the fuzzy theory, Hwatai, Taipei (Chinese edition).

Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13), 1473-1490.

Chen, M. K., & Wang, S. C. (2010). The use of a hybrid Fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms. Expert Systems with Applications, 37(11), 7394-7407.

Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management science, 9(3), 458-467.

Dehnavi, A., Aghdam, I. N., Pradhan, B., & Varzandeh, M. H. M. (2015). A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran. Catena, 135, 122-148.

Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553.

Hicks, D. A., & Stecke, K. E. (1995). The ERP maze: enterprise resource planning and other production and inventory control software. IIE solutions, 27(8), 12-17.

Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.

Kara, S. S., & Cheikhrouhou, N. (2014). A multi criteria group decision making approach for collaborative software selection problem. Journal of Intelligent & Fuzzy Systems, 26(1), 37-47.

Karsak, E. E., & Özogul, C. O. (2009). An integrated decision making approach for ERP system selection. Expert systems with Applications, 36(1), 660-667.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.

Lai, V. S., Trueblood, R. P., & Wong, B. K. (1999). Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system. Information & Management, 36(4), 221-232.

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.

Lee, H. S., Shen, P. D., & Chih, W. L. (2004). A fuzzy multiple criteria decision making model for software selection. In IEEE International Conference on Fuzzy Systems.

Liao, X., Li, Y., & Lu, B. (2007). A model for selecting an ERP system based on linguistic information processing. Information Systems, 32(7), 1005-1017.

Liu, S., & Lin, Y. (2006). Grey information: theory and practical applications. Springer Science & Business Media.

Méxas, M. P., Quelhas, O. L. G., & Costa, H. G. (2012). Prioritization criteria for enterprise resource planning systems selection for civil construction companies: a multicriteria approach. Canadian Journal of Civil Engineering, 39(8), 855-866.

Mulebeke, J. A., & Zheng, L. (2006). Analytical network process for software selection in product development: A case study. Journal of Engineering and Technology Management, 23(4), 337-352.

Murray, T. J., Pipino, L. L., & van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80.

Rouyendegh, B. D., & Erkan, T. E. (2011). ERP system selection by AHP method: case study from Turkey. International Journal of Business and Management Studies, 3(1), 39-48.

Şen, C. G., & Baraçlı, H. (2010). Fuzzy quality function deployment based methodology for acquiring enterprise software selection requirements. Expert Systems with Applications, 37(4), 3415-3426.

Şen, C. G., Baraçlı, H., Şen, S., & Başlıgil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36(3), 5272-5283.

Su, Y. F., & Yang, C. (2010). A structural equation model for analyzing the impact of ERP on SCM. Expert Systems with Applications, 37(1), 456-469.

Tupenaite, L., Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Seniut, M. (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266.

Wei, C. C., Chien, C. F., & Wang, M. J. J. (2005). An AHP-based approach to ERP system selection. International journal of production economics, 96(1), 47-62.

Yazgan, H. R., Boran, S., & Goztepe, K. (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), 9214-9222.

Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.

Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of civil and mechanical engineering, 10(3), 123-141.

Zolfani, S. H., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Varzandeh, M. H. M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert systems with applications, 40(17), 7111-7121.

Zolfani, S. H., Zavadskas, E. K., & Turskis, Z. (2013). Design of products with both International and Local perspectives based on Yin-Yang balance theory and SWARA method. Economic Research-Ekonomska Istraživanja, 26(2), 153-166.

 

بهبودی اصل، منوچهر؛ رحمانی یوشانلویی، حسین؛ انصاری، منوچهر؛میرکاظمی، محمد. (1391). شناسایی عوامل مؤثر بر انتخاب سیستم‌های برنامه­ریزی منابع سازمانی(ERP) از دیدگاه خبرگان.‎ نشریهمدیریتفناوریاطلاعات، 4(12)،1-22.

فیضی، کامران.، ثابت مطلق، محمد. و عابدینی نائینی، مهدی. (1394). به‌کارگیری رویکرد تلفیقی QFD، FAHP و VIKOR به‌منظور انتخاب مناسب‌ترین سامانه  .ERP مطالعات مدیریت فناوری اطلاعات، 3(10)،1-20.‌

مانیان امیر، موسی خانی محمد، جام پرازمی مونا. (1387). بررسی رابطه بین هم‌راستایی فن‌آوری اطلاعات و کسب‌وکار با عملکرد سازمانی در شرکت‌های فعال در زمینه فناوری؛ اطلاعات با استفاده از مدل معادلات ساختاری. نشریهمدیریتفناوریاطلاعات، 1(3).

Alimardani, M., Zolfani, S. H., Aghdaie, M. H., & Tamošaitienė, J. (2013). A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment. Technological and Economic Development of Economy, 19(3), 533-548.

Asl, M. B., Khalilzadeh, A., Youshanlouei, H. R., & Mood, M. M. (2012). Identifying and ranking the effective factors on selecting Enterprise Resource Planning (ERP) system using the combined Delphi and Shannon Entropy approach. Procedia-Social and Behavioral Sciences, 41, 513-520.

Ayağ, Z. (2010). A combined fuzzy AHP-simulation approach to CAD software selection. International Journal of General Systems, 39(7), 731-756.

Ayağ, Z., & Özdemir, R. G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169-2194.

Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications, 36(5), 8900-8909.

Chang, Y. H. (1998). Transportation plan appraisal and decision making-discussion and application of the fuzzy theory, Hwatai, Taipei (Chinese edition).

Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13), 1473-1490.

Chen, M. K., & Wang, S. C. (2010). The use of a hybrid Fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms. Expert Systems with Applications, 37(11), 7394-7407.

Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management science, 9(3), 458-467.

Dehnavi, A., Aghdam, I. N., Pradhan, B., & Varzandeh, M. H. M. (2015). A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran. Catena, 135, 122-148.

Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553.

Hicks, D. A., & Stecke, K. E. (1995). The ERP maze: enterprise resource planning and other production and inventory control software. IIE solutions, 27(8), 12-17.

Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.

Kara, S. S., & Cheikhrouhou, N. (2014). A multi criteria group decision making approach for collaborative software selection problem. Journal of Intelligent & Fuzzy Systems, 26(1), 37-47.

Karsak, E. E., & Özogul, C. O. (2009). An integrated decision making approach for ERP system selection. Expert systems with Applications, 36(1), 660-667.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.

Lai, V. S., Trueblood, R. P., & Wong, B. K. (1999). Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system. Information & Management, 36(4), 221-232.

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.

Lee, H. S., Shen, P. D., & Chih, W. L. (2004). A fuzzy multiple criteria decision making model for software selection. In IEEE International Conference on Fuzzy Systems.

Liao, X., Li, Y., & Lu, B. (2007). A model for selecting an ERP system based on linguistic information processing. Information Systems, 32(7), 1005-1017.

Liu, S., & Lin, Y. (2006). Grey information: theory and practical applications. Springer Science & Business Media.

Méxas, M. P., Quelhas, O. L. G., & Costa, H. G. (2012). Prioritization criteria for enterprise resource planning systems selection for civil construction companies: a multicriteria approach. Canadian Journal of Civil Engineering, 39(8), 855-866.

Mulebeke, J. A., & Zheng, L. (2006). Analytical network process for software selection in product development: A case study. Journal of Engineering and Technology Management, 23(4), 337-352.

Murray, T. J., Pipino, L. L., & van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80.

Rouyendegh, B. D., & Erkan, T. E. (2011). ERP system selection by AHP method: case study from Turkey. International Journal of Business and Management Studies, 3(1), 39-48.

Şen, C. G., & Baraçlı, H. (2010). Fuzzy quality function deployment based methodology for acquiring enterprise software selection requirements. Expert Systems with Applications, 37(4), 3415-3426.

Şen, C. G., Baraçlı, H., Şen, S., & Başlıgil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36(3), 5272-5283.

Su, Y. F., & Yang, C. (2010). A structural equation model for analyzing the impact of ERP on SCM. Expert Systems with Applications, 37(1), 456-469.

Tupenaite, L., Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Seniut, M. (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266.

Wei, C. C., Chien, C. F., & Wang, M. J. J. (2005). An AHP-based approach to ERP system selection. International journal of production economics, 96(1), 47-62.

Yazgan, H. R., Boran, S., & Goztepe, K. (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), 9214-9222.

Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.

Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of civil and mechanical engineering, 10(3), 123-141.

Zolfani, S. H., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Varzandeh, M. H. M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert systems with applications, 40(17), 7111-7121.

Zolfani, S. H., Zavadskas, E. K., & Turskis, Z. (2013). Design of products with both International and Local perspectives based on Yin-Yang balance theory and SWARA method. Economic Research-Ekonomska Istraživanja, 26(2), 153-166.

 

بهبودی اصل، منوچهر؛ رحمانی یوشانلویی، حسین؛ انصاری، منوچهر؛میرکاظمی، محمد. (1391). شناسایی عوامل مؤثر بر انتخاب سیستم‌های برنامه­ریزی منابع سازمانی(ERP) از دیدگاه خبرگان.‎ نشریهمدیریتفناوریاطلاعات، 4(12)،1-22.

فیضی، کامران.، ثابت مطلق، محمد. و عابدینی نائینی، مهدی. (1394). به‌کارگیری رویکرد تلفیقی QFD، FAHP و VIKOR به‌منظور انتخاب مناسب‌ترین سامانه  .ERP مطالعات مدیریت فناوری اطلاعات، 3(10)،1-20.‌

مانیان امیر، موسی خانی محمد، جام پرازمی مونا. (1387). بررسی رابطه بین هم‌راستایی فن‌آوری اطلاعات و کسب‌وکار با عملکرد سازمانی در شرکت‌های فعال در زمینه فناوری؛ اطلاعات با استفاده از مدل معادلات ساختاری. نشریهمدیریتفناوریاطلاعات، 1(3).

Alimardani, M., Zolfani, S. H., Aghdaie, M. H., & Tamošaitienė, J. (2013). A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment. Technological and Economic Development of Economy, 19(3), 533-548.

Asl, M. B., Khalilzadeh, A., Youshanlouei, H. R., & Mood, M. M. (2012). Identifying and ranking the effective factors on selecting Enterprise Resource Planning (ERP) system using the combined Delphi and Shannon Entropy approach. Procedia-Social and Behavioral Sciences, 41, 513-520.

Ayağ, Z. (2010). A combined fuzzy AHP-simulation approach to CAD software selection. International Journal of General Systems, 39(7), 731-756.

Ayağ, Z., & Özdemir, R. G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169-2194.

Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications, 36(5), 8900-8909.

Chang, Y. H. (1998). Transportation plan appraisal and decision making-discussion and application of the fuzzy theory, Hwatai, Taipei (Chinese edition).

Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13), 1473-1490.

Chen, M. K., & Wang, S. C. (2010). The use of a hybrid Fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms. Expert Systems with Applications, 37(11), 7394-7407.

Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management science, 9(3), 458-467.

Dehnavi, A., Aghdam, I. N., Pradhan, B., & Varzandeh, M. H. M. (2015). A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran. Catena, 135, 122-148.

Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553.

Hicks, D. A., & Stecke, K. E. (1995). The ERP maze: enterprise resource planning and other production and inventory control software. IIE solutions, 27(8), 12-17.

Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.

Kara, S. S., & Cheikhrouhou, N. (2014). A multi criteria group decision making approach for collaborative software selection problem. Journal of Intelligent & Fuzzy Systems, 26(1), 37-47.

Karsak, E. E., & Özogul, C. O. (2009). An integrated decision making approach for ERP system selection. Expert systems with Applications, 36(1), 660-667.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.

Lai, V. S., Trueblood, R. P., & Wong, B. K. (1999). Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system. Information & Management, 36(4), 221-232.

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.

Lee, H. S., Shen, P. D., & Chih, W. L. (2004). A fuzzy multiple criteria decision making model for software selection. In IEEE International Conference on Fuzzy Systems.

Liao, X., Li, Y., & Lu, B. (2007). A model for selecting an ERP system based on linguistic information processing. Information Systems, 32(7), 1005-1017.

Liu, S., & Lin, Y. (2006). Grey information: theory and practical applications. Springer Science & Business Media.

Méxas, M. P., Quelhas, O. L. G., & Costa, H. G. (2012). Prioritization criteria for enterprise resource planning systems selection for civil construction companies: a multicriteria approach. Canadian Journal of Civil Engineering, 39(8), 855-866.

Mulebeke, J. A., & Zheng, L. (2006). Analytical network process for software selection in product development: A case study. Journal of Engineering and Technology Management, 23(4), 337-352.

Murray, T. J., Pipino, L. L., & van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80.

Rouyendegh, B. D., & Erkan, T. E. (2011). ERP system selection by AHP method: case study from Turkey. International Journal of Business and Management Studies, 3(1), 39-48.

Şen, C. G., & Baraçlı, H. (2010). Fuzzy quality function deployment based methodology for acquiring enterprise software selection requirements. Expert Systems with Applications, 37(4), 3415-3426.

Şen, C. G., Baraçlı, H., Şen, S., & Başlıgil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36(3), 5272-5283.

Su, Y. F., & Yang, C. (2010). A structural equation model for analyzing the impact of ERP on SCM. Expert Systems with Applications, 37(1), 456-469.

Tupenaite, L., Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Seniut, M. (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266.

Wei, C. C., Chien, C. F., & Wang, M. J. J. (2005). An AHP-based approach to ERP system selection. International journal of production economics, 96(1), 47-62.

Yazgan, H. R., Boran, S., & Goztepe, K. (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), 9214-9222.

Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.

Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of civil and mechanical engineering, 10(3), 123-141.

Zolfani, S. H., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Varzandeh, M. H. M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert systems with applications, 40(17), 7111-7121.

Zolfani, S. H., Zavadskas, E. K., & Turskis, Z. (2013). Design of products with both International and Local perspectives based on Yin-Yang balance theory and SWARA method. Economic Research-Ekonomska Istraživanja, 26(2), 153-166.