Banai-Kashani, 1984Banai-Kashani, A. (1984). Travel demand (modal split) estimation by hierarchical measurement. Journal of Advanced Transportation, 18(1), 37-54. http://dx.doi.org/10.1002/atr.5670180105. http://dx.doi.org/10.1002/atr.5670180105...
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Travel demand (modal split) estimation by hierarchical measurement |
The authors developed a procedure to forecast travel demand and used the AHP in this process. |
Lee et al., 1996Lee, M. W., Lee, J. S., Koo, C. R., & Yun, M. H. (1996). A model for estimating the potential demand of high touch product. Computers & Industrial Engineering, 31(3-4), 653-656. http://dx.doi.org/10.1016/S0360-8352(96)00250-1. http://dx.doi.org/10.1016/S0360-8352(96)...
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A model for estimating the potential demand of high touch product |
The authors conducted a study on demand forecasting for a new product and used the AHP to evaluate the process of identifying the buying power of the existing product and the newly developed product with respect to each customer group. |
Korpela & Tuominen, 1996Korpela, J., & Tuominen, M. (1996). Inventory forecasting with a multiple criteria decision tool. International Journal of Production Economics, 45(1-3), 159-168. http://dx.doi.org/10.1016/0925-5273(95)00136-0. http://dx.doi.org/10.1016/0925-5273(95)0...
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Inventory forecasting with a multiple criteria decision tool |
The authors developed a hierarchy for demand forecasting using a multi-criteria approach. |
Yüksel, 2007Yüksel, S. (2007). An integrated forecasting approach to hotel demand. Mathematical and Computer Modelling, 46(7-8), 1063-1070. http://dx.doi.org/10.1016/j.mcm.2007.03.008. http://dx.doi.org/10.1016/j.mcm.2007.03....
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An integrated forecasting approach to hotel demand |
The authors developed a study for demand forecasting for the hotel industry and used the AHP to adjust the forecast. |
Li & Kuo, 2008Li, S. G., & Kuo, X. (2008). The inventory management system for automobile spare parts in a central warehouse. Expert Systems with Applications, 34(2), 1144-1153. http://dx.doi.org/10.1016/j.eswa.2006.12.003. http://dx.doi.org/10.1016/j.eswa.2006.12...
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The inventory management system for automobile spare parts in a central warehouse |
The authors conducted research on stock management of automobile spare parts in a central warehouse, and developed a decision support system based on the AHP and fuzzy neural network. |
Panagopoulos et al., 2012Panagopoulos, G. P., Bathrellos, G. D., Skilodimou, H. D., & Martsouka, F. A. (2012). Mapping urban water demands using multi-criteria analysis and GIS. Water Resources Management, 26(5), 1347-1363. http://dx.doi.org/10.1007/s11269-011-9962-3. http://dx.doi.org/10.1007/s11269-011-996...
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Mapping Urban Water Demands Using Multi-Criteria Analysis and GIS |
The authors conducted a study on water demand forecasting and used the AHP to evaluate the weighting factor for urban growth mapping. |
Shih et al., 2012Shih, H., Stanley Lee, E., Chuang, S., & Chen, C. (2012). A forecasting decision on the sales volume of printers in Taiwan: an exploitation of the analytic network process. Computers & Mathematics with Applications, 64(6), 1545-1556. http://dx.doi.org/10.1016/j.camwa.2011.12.082. http://dx.doi.org/10.1016/j.camwa.2011.1...
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A forecasting decision on the sales volume of printers in Taiwan: An exploitation of the Analytic Network Process |
The authors developed a study on printer sales forecasting using the ANP (Analytic Network Process) method. |
Rodrigues et al., 2015Rodrigues, D. S. S., Costa, H. G., Reis, A. C., Severo, E. A., & Guimarães, J. C. F. (2015). Demand forecasting process innovation using the analytic hierarchy process method. Revista GEINTEC, 5(4), 2526-2539. http://dx.doi.org/10.7198/S2237-0722201500040004. http://dx.doi.org/10.7198/S2237-07222015...
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Demand Forecasting Process of Innovation Using the Method Analytic Hierarchy Process |
The authors developed an electricity demand forecasting study and used the AHP to adjust the demand forecast. |
Fradinata et al., 2017Fradinata, E., Suthummanon, S., & Sunthiamorntut, W. (2017). Comparison of hybrid ANN models: a case study of instant noodle industry in Indonesia. International Journal of Advanced and Applied Sciences, 4(8), 19-28. http://dx.doi.org/10.21833/ijaas.2017.08.004. http://dx.doi.org/10.21833/ijaas.2017.08...
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Comparison of hybrid ANN models: A case study of instant noodle industry in Indonesia |
The authors developed new forecasting methods integrating artificial neural networks with the AHP, and with the Monte Carlo (MC) simulation method, which is an independent random probability production process. |
Prasad & Raturi, 2017Prasad, R. D., & Raturi, A. (2017). Grid electricity for Fiji islands: future supply options and assessment of demand trends. Energy, 119, 860-871. http://dx.doi.org/10.1016/j.energy.2016.11.054. http://dx.doi.org/10.1016/j.energy.2016....
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Grid electricity for the Fiji islands: Future supply options and assessment of demand trends |
The authors conducted a study on electricity forecasting and used the AHP to decide the best demand-forecasting model. |
Wu et al., 2018Wu, L., Xia, H., Cao, X., Zhang, C., & Dai, C. (2018). Research on quantitative demand of underground space development for urban rail transit station areas: a case study of metro line 1 in Xuzhou, China. Urban Rail Transit, 4(4), 257-273. http://dx.doi.org/10.1007/s40864-018-0091-7. http://dx.doi.org/10.1007/s40864-018-009...
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Research on Quantitative Demand of Underground Space Development for Urban Rail Transit Station Areas: A Case Study of Metro Line 1 in Xuzhou, China |
The authors carried out research on forecasting and planning the development of underground space in railway transport stations, and the used the AHP as a weighted indicator scale. |
Xu et al., 2019Xu, H., Li, W., Wang, T., & Yang, A. (2019). Research on dynamic prediction method for traffic demand based on trip generation analysis. Advances in Mechanical Engineering, 11(6), 1-9. http://dx.doi.org/10.1177/1687814019854561. http://dx.doi.org/10.1177/16878140198545...
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Research on dynamic prediction method for traffic demand based on trip generation analysis |
The authors studied dynamic forecasting for traffic demand based on trip generation analysis and used the AHP to evaluate the influence of factors. |
Antosz & Ratnayake, 2019Antosz, K., & Ratnayake, C. (2019). Spare parts criticality assessment and prioritization for enhancing manufacturing systems availability and reliability. Journal of Manufacturing Systems, 50, 212-225. http://dx.doi.org/10.1016/j.jmsy.2019.01.003. http://dx.doi.org/10.1016/j.jmsy.2019.01...
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Spare parts’ criticality assessment and prioritization for enhancing manufacturing systems’ availability and reliability |
The authors developed an empirical system, which allows the performance of a criticality analysis, considering the perspective of the spare parts management system, adopting factors related to logistics and maintenance, and used the AHP to prioritize the spare parts within the selected group. |
Zhou et al., 2020Zhou, N., Xu, B., Li, X., Cui, R., Liu, X., Yuan, X., & Zhao, H. (2020). An assessment model of fire resources demand for storage of hazardous chemicals. Process Safety Progress, 39(3), e12135. http://dx.doi.org/10.1002/prs.12135. http://dx.doi.org/10.1002/prs.12135...
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An assessment model of fire resources demand for storage of hazardous chemicals |
The authors developed a model to predict the demand of resources needed in accidental fires in hazardous chemical warehouses, using Fuzzy Analysis and the AHP. |
Taylan et al., 2020Taylan, O., Alamoudi, R., Kabli, M., Aljifri, A., Ramzi, F., & Herrera-Viedma, E. (2020). Assessment of energy systems using extended fuzzy AHP, fuzzy VIKOR, and TOPSIS approaches to manage non-cooperative opinions. Sustainability, 12(7), 2745. http://dx.doi.org/10.3390/su12072745. http://dx.doi.org/10.3390/su12072745...
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Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions |
The authors developed a process to predict the most suitable energy systems for investment in a given region, using and integrating Fuzzy AHP, Fuzzy VIKOR, and Fuzzy TOPSIS methods. |
Alalawin et al., 2021Alalawin, A., Arabiyat, L. M., Alalaween, W., Qamar, A., & Mukattash, A. (2021). Forecasting vehicle’s spare parts price and demand. Journal of Quality in Maintenance Engineering, 27(3), 483-499. http://dx.doi.org/10.1108/JQME-03-2020-0019. http://dx.doi.org/10.1108/JQME-03-2020-0...
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Forecasting vehicle's spare parts price and demand |
The authors developed a model to predict the demand and price of spare parts, using Linear Regression and the AHP. |
Fu et al., 2020Fu, Q., Lv, J., Zhao, Z., & Yue, D. (2020). Research on optimization method of VR task scenario resources driven by user cognitive needs. Information, 11(2), 64. http://dx.doi.org/10.3390/info11020064. http://dx.doi.org/10.3390/info11020064...
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Research on optimization method of VR task scenario resources driven by user cognitive needs |
The authors developed a model for predicting cognitive load based on mapping user cognitive behavior and system design feature elements under multi-perception channels of Virtual Reality (VR) system, using QFD-CNN (Quality Function and Convolution Neural Network) methods and the AHP. |
Chen et al., 2021Chen, F., Chen, J., & Liu, J. (2021). Forecast of flood disaster emergency material demand based on IACO-BP algorithm. Neural Computing & Applications, 34(Spe), 3537-3549.
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Forecast of flood disaster emergency material demand based on IACO-BP algorithm |
The authors developed a model to predict the demand of emergency supplies in flood disaster by means of IACO-BP algorithm and used the AHP to comprehensively discuss the transportation time, and other indicators, so as to integrate the advantages and disadvantages of the circulation path in the disaster area. |