How to cite this paper
parsaei, M., shahraki, A & shahgholian, K. (2014). Selecting the best responsive option to unexpected orders at the time of capacity-shortage using multi criteria decision models.Decision Science Letters , 3(3), 375-390.
Refrences
Abdullah, L., & Zamri, N. (2010). Ranking of the factors associated with road accidents using correlation analysis and fuzzy TOPSIS. Australian Journal of Basic and Applied Sciences, 4(2), 314–320.
Amiri, P. M. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37, 6218–6224.
Arredondo, F., & Martinez, E. (2010). Learning and adaptation of a policy for dynamic order acceptance in make-to-order manufacturing. Computers & Industrial Engineering, 58, 70–83.
Badri, M. A. (2001). A combined AHP–GP model for quality control systems. International Journal of Production Economics, 72, 27–40.
Balakrishnan N, Sridharan V, Patterson J W. (1996). Rationing capacity Between two product classes. Decision Science,27(2) , 185-214.
Balli, S., & Koruko?lu, S. (2009). Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications, 14(2), 119–130.
Bellman, R. E., & Zadeh, L. A. (1970). Decision making in a Fuzzy environment. Management Science, 17(4), 141–164.
Benitez, J. M., Martin, J. C., & Roman, C. (2007). Using fuzzy number for measuring quality of service in the hotel industry. Tourism Management, 28 (2), 544–555.
Benyoucef, M., & Canbolat, M. S. (2007). Fuzzy AHP based supplier selection in e-procurement. International Journal of Services and Operations Management, 3(2), 172–192.
Bozbura, F. T., Beskese, A., & Kahraman, C. (2007). Prioritization of human capital measurement indicators using fuzzy AHP. Expert Systems with Applications, 32, 1100–1112.
Cavallaro, F. A(2011). comparative assessment of thin-film photovoltaic production processes using the ELECTREIII method. Energy Policy, 38, 463–474.
Chamodrakas, I., Alexopoulou, N., & Martakos, D. (2009). Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS. Expert Systems with Applications, 36, 7409–7415.
Chen J-K, & Chen I-S. (2010). Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education. Expert Systems with Applications, 37, 1981–1990.
Chen, P. C. (2009). A Fuzzy Multiple Criteria Decision Making Model in Employee Recruitment. International Journal of Computer Science and Network Security, 9(7), 113–117.
Chen,S. J., & Hwang, C. L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer-Verlag, Berlin.
Chen, T.Y., & Tsao, Ch.Y. (2008). The interval-valued fuzzy TOPSIS method and experimental analysis. Fuzzy Sets and Systems, 159, 1410–1428.
Chou W-C , & Cheng, Y-P. (2012). A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms. Expert Systems with Applications, 39, 2783–2793.
Dagdeviren, M., Yavuz, S., & K?l?nc, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36, 8143–815.
Defregger, F., & Kuhn., H. (2005). Markov Decision Models for Order Acceptance/Rejection Problems. Proceedings of the 5th International Conference on Analysis of Manufacturing Systems Production Management, Zakynthos Island, Greece, 265–272.
] Defregger F, Kuhn H. (2007). Revenue management for a make-to-order company with limited inventory capacity. OR Spectrum, 29, 137–156.
Dias, L., Mousseau, V., Figueira, J., & Climaco, J. (2002). An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI. European Journal of Operational Research, 138, 332–348.
Driouchi, T., Bennett, D., & Battisti, G. (2006). Capacity Planning Under Uncertainty: An Asian Option Approach. Proceedings of the 10th Annual International Conference on Real Options, Columbia University, New York.
Duran, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert systems with Applications, 34 ,1787–1794.
Ebben, M. J. R., Hans, E. W., & Weghuis, O. F. M. (2005).Workload based order acceptance in job shop environments. OR Spectrum, 27, 107–122.
Erkayman, B., Gundogar, E., Akkaya, & G., ?pe, M. (2011). A Fuzzy Topsis Approach For Logistics Center Location Selection. The 2011 New Orleans International Academic Conference, New Orleans, Louisiana USA ,515–521.
Flores, B. E., Olson, D. L., & Dorai, V. K. (1992). Management of multicriteria inventory classification. Mathematical and Computer Modeling, 16(12), 71–82.
Forman, E. H., & Selly, M. A. (2001). Decision by Objectives, Mailand Press.
Gharehgozli, A. H., Rabbani, M., Zaerpour, N., & Razmi, J. (2007). A comprehensive decision-making structure for acceptance/rejection of incoming orders in make to order environments. International Journal of Advanced Manufacturing Technology, 39, 1016–1032.
Ghodsypour, S. H., & O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytical hierarchy process and linear programming. International Journal of Production Economics, 56, 199–212.
Guerrero, H. H., & Kern G. (1990). A conceptual model for demand management in the assemble-to-order environment. Journal of Operations Management , 9(1), 65–83.
Guerrero, H. H., & Kern, G. (1988). How to more effectively accept and refuse orders. Production and Inventory Management Journal, 29(4), 59–63.
Güng?r, Z., Delice, K. E., & Kesen, S. E. (2011). New product design using FDMS and FANP under fuzzy environment. Applied Soft Computing, 11, 3347–3356.
Hatami-Marbini, A., & Tavan, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environment. Omega, 39, 373–386.
Hemmati, S. , Ebadian, M., & Nahvi, A. (2012). A new decision making structure for managing arriving orders in MTO environments. Expert Systems with Applications, 39, 2669–2676.
Hing, M. M., van Harten, A., & Schuur, P. (2002). Order acceptance with reinforcement learning. Working paper WP-66, University of Twente, the Netherlands.
Hing, M. M., Van Harten, A., & Schuur, P. (2007). Reinforcement learning versus heuristics for order acceptance on a single resource. Journal of Heuristics, 13, 167–187.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications, A State of the Art Survey. New York: Springer-Verlag.
Ivanescu, V. C. (2004). Order acceptance under uncertainty in batch process industries. Eindhoven: Technische Universiteit Eindhoven.
Jee, D. H., & Kang, J. K. (2000). A method for optimal material selection aided with decision making theory. Materials and Design, 21(3), 199–206.
Kabak, M., Burmaoglu, S., & Kazançoglu, Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications, 39, 3516–3525.
Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using
fuzzy AHP: The case of Turkey. International journal Production Economics, 87, 171–184.
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multicriteria supplier selection using Fuzzy AHP. Logistics Information Management, 16(6), 382–394.
Kalantari, M., Rabbani, M, & Ebadian, M. (2011). A decision support system for order acceptance/rejection in hybrid MTS/MTO production systems. Applied Mathematical Modelling, 35, 1363–1377.
Karimi, A. R., Mehrdadi, N., Hashemian, S. J., Nabi-Bidhendi, Gh. R., & Tavakkoli-Moghaddam, R. (2011). Using of the fuzzy TOPSIS and fuzzy AHP methods for wastewater treatment process selection. International Journal of Academic Research, 3(1), 737–745
Kniker T S , Burman M H .(2001). Applications of revenue management to manufacturing. in Third AEGEAN International Conference on Design and Analysis of Manufacturing Systems, Tinos Island, Greece, 299–308
Kolisch R.(1998).Integrated production planning, order acceptance, and due date setting for make-to-order manufacturing. Operations research proceedings. New York, Springer , 492-7.
Korpela, J., Kylaheiko, K., Lehmusvaara, A., and Tuominen, M. (2002). An analytic approach to production capacity allocation and supply chain design. International Journal of Production Economics, 78(2), 187–195.
kumar, S., & Mahapatra , S. S. (2009). A fuzzy multi-criteria decision making approach for supplier selection in supply chain management. African Journal of Business Management, 3(4), 168–177.
Lee, A. H. I., Chen, W. C., & Chang, C.J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications, 34(1), 96–107.
Lewis, H. F., & Slotnick, S. A. (2002). Multi-period job selection: Planning workloads to maximize profit. Computers and Operations Research, 29, 1081–1098.
Liang, G. S., & Wang, M. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78, 22–33.
Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, 59, 17–31.
Lin, R-H. (2009). An integrated FANP–MOLP for supplier evaluation and order allocation. Applied Mathematical Modelling, 33, 2730–2736.
Marzouk, M. M. (2011). ELECTRE III model for value engineering applications. Automation in Construction, 20, 596–600.
Mikaeil, Reza., Yousefi, R., & Ataei, M. (2011). Sawability ranking of carbonate rock using fuzzy analytical hierarchy process and TOPSIS approaches. Scientia Iranica B, 18 (5), 1106–1115.
Mula, J., Poler, R., Garc?a-Sabater, J. P., & Lario, F. C. (2006). Models for production planning under uncertainty:A review. International journal Production Economics, 103, 271–285.
Murtaza, M. B. (2003). Fuzzy-AHP application to country risk assessment. American Business Review, 21(2), 109–116.
Nandi, A., & Rogers, P. (2003). Behavior of an order release mechanism in a make-to order Manufacturing system with selected order acceptance. In Proceedings of the 2003 winter simulation conference, 1251–1259.
Ngai, E. W. T., & Chan, E. W. C. (2005). Evaluation of knowledge management tools using AHP. Expert Systems with Applications, 29, 889–899.
?nüt, S., Kara, S. S., & Isik, E. (2009). Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company. Expert Systems with Applications, 36, 3887–3895.
Onüt, S., & Soner, S. (2007). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552–1559.
Ramanathan, R., & Ganesh, L. S. (1995). Using AHP for resource allocation problems. European Journal of Operational Research, 80(2), 410–417.
Rogers, M., & Bruen, M. (1998). A new system for weighting environmental criteria for use within ELECTRE III. European Journal of Operational Research, 107, 552–563.
Rogers, P., & Nandi, A. (2007). Judicious order acceptance and order release in make- to-order manufacturing systems. Production Planning and Control, 18(7), 610–625.
Rom, W. O., & Slotnick, S. A. (2009). Order acceptance using genetic algorithms. Computers & Operations Research, 36, 1758–1767.
Roundy, R., Chen, D., Chen, P., Cakanyildirim, M., Freimer M. B., & Melkonian, V. (2005). acceptance of customer orders for a multi-stage batch manufacturing system: models and algorithms, IIEransactions, 37(12), 1093–105.
Simampo, A., & Ryan, S., M. (2003). Capacity expansion for a loss system with exponential demand growth. Computers & Operations Research, 30 , 1525–1537.
Shyur, H. J. (2006). COTS evaluation using modified TOPSIS and ANP. Applied Mathematics and Computation, 177, 251–259.
Slotnick, S. A., & Morton T. E. (2007). Order acceptance with weighted tardiness. Computers & Operations Research , 34 , 3029–3042.
Slotnick, S. A., & Morton, T. E. (1996). Selecting jobs for a heavily loaded shop with lateness penalties. Computers & Operations Research, 23(2), 131–140.
Snoek, M.(2000). Neuro-genetic order acceptance in a job shop setting. Proceedings of the 7thinternational conference on Neural Information Processing, Taejon, Korea, pp. 815-819.
Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications,37(12), 7745–7754 .
Taskin, G. A. (2008). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36, 4067–4074.
Taylor, F. A., Ketcham, A. F., & Hoffman, D. (1998). Personnel evaluation with AHP. Management Decision, 36, 679–685.
Teodorovic, D. (1985). Multi-criteria ranking of air shuttle alternatives. Transportation Research Part B: Methodological, 19(1), 63–72.
Teodorovic, D. (1985). Multi-criteria ranking of air shuttle alternatives. Transportation Research Part B:
Methodological, 19(1), 63–72.
Wang, J., Yang, J., Q., & Lee, H. (1994). Multicriteria order acceptance decision support in over-demanded job shops: a neural network approach. Mathematical Computer Modelling, 19(5), 1–19.
Wang, T. C., & Chen, Y. H. (2008). Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP. Information Sciences, 178, 3755–3765.
Wester, F. A. W., Wijngaard, J., & Zijm, W. H. M. (1992). Order acceptance strategies in a production-to-order environment with setup times and due-dates. International Journal of Production Research, 30(6), 1313-1326.
Wu M C, Chen S Y.(1997 ). A multiple criteria decision-making model for justifying the acceptance of rush orders. Production planning & control , 8(8) , 753- 761.
Wu, C-S., Lin, C-T., & Lee, C. (2010). Optimal marketing strategy: A decision-making with ANP and TOPSIS. International Journal Production Economics,127, 190–196.
Wu, M. (2007). Topsis-AHP simulation model and its application to supply chain management. World Journal of Modelling and Simulation, 3, 196-201.
Yang, J., Qi, X., Xia, Y., Yu, G. (2006).Inventory control with Markovian capacity and the option of order rejection. European Journal of Operational Research, 174 , 622–645.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technology, 28, 839–844.
Yu, C. S. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers and Operations Research, 29, 1969–2001.
Zhang, B., & Shaofu, D. (2010). Multi-product newsboy problem with limited capacity and outsourcing. European Journal Operational Research, 202, 107–113.
Zorzini, M., Corti, D., & Pozzetti, A. (2008). Due date (DD) quotation and capacity planning in make-to order companies: Results from an empirical analysis. International journal Production Economics, 112, 919–933.
Amiri, P. M. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37, 6218–6224.
Arredondo, F., & Martinez, E. (2010). Learning and adaptation of a policy for dynamic order acceptance in make-to-order manufacturing. Computers & Industrial Engineering, 58, 70–83.
Badri, M. A. (2001). A combined AHP–GP model for quality control systems. International Journal of Production Economics, 72, 27–40.
Balakrishnan N, Sridharan V, Patterson J W. (1996). Rationing capacity Between two product classes. Decision Science,27(2) , 185-214.
Balli, S., & Koruko?lu, S. (2009). Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications, 14(2), 119–130.
Bellman, R. E., & Zadeh, L. A. (1970). Decision making in a Fuzzy environment. Management Science, 17(4), 141–164.
Benitez, J. M., Martin, J. C., & Roman, C. (2007). Using fuzzy number for measuring quality of service in the hotel industry. Tourism Management, 28 (2), 544–555.
Benyoucef, M., & Canbolat, M. S. (2007). Fuzzy AHP based supplier selection in e-procurement. International Journal of Services and Operations Management, 3(2), 172–192.
Bozbura, F. T., Beskese, A., & Kahraman, C. (2007). Prioritization of human capital measurement indicators using fuzzy AHP. Expert Systems with Applications, 32, 1100–1112.
Cavallaro, F. A(2011). comparative assessment of thin-film photovoltaic production processes using the ELECTREIII method. Energy Policy, 38, 463–474.
Chamodrakas, I., Alexopoulou, N., & Martakos, D. (2009). Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS. Expert Systems with Applications, 36, 7409–7415.
Chen J-K, & Chen I-S. (2010). Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education. Expert Systems with Applications, 37, 1981–1990.
Chen, P. C. (2009). A Fuzzy Multiple Criteria Decision Making Model in Employee Recruitment. International Journal of Computer Science and Network Security, 9(7), 113–117.
Chen,S. J., & Hwang, C. L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer-Verlag, Berlin.
Chen, T.Y., & Tsao, Ch.Y. (2008). The interval-valued fuzzy TOPSIS method and experimental analysis. Fuzzy Sets and Systems, 159, 1410–1428.
Chou W-C , & Cheng, Y-P. (2012). A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms. Expert Systems with Applications, 39, 2783–2793.
Dagdeviren, M., Yavuz, S., & K?l?nc, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36, 8143–815.
Defregger, F., & Kuhn., H. (2005). Markov Decision Models for Order Acceptance/Rejection Problems. Proceedings of the 5th International Conference on Analysis of Manufacturing Systems Production Management, Zakynthos Island, Greece, 265–272.
] Defregger F, Kuhn H. (2007). Revenue management for a make-to-order company with limited inventory capacity. OR Spectrum, 29, 137–156.
Dias, L., Mousseau, V., Figueira, J., & Climaco, J. (2002). An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI. European Journal of Operational Research, 138, 332–348.
Driouchi, T., Bennett, D., & Battisti, G. (2006). Capacity Planning Under Uncertainty: An Asian Option Approach. Proceedings of the 10th Annual International Conference on Real Options, Columbia University, New York.
Duran, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert systems with Applications, 34 ,1787–1794.
Ebben, M. J. R., Hans, E. W., & Weghuis, O. F. M. (2005).Workload based order acceptance in job shop environments. OR Spectrum, 27, 107–122.
Erkayman, B., Gundogar, E., Akkaya, & G., ?pe, M. (2011). A Fuzzy Topsis Approach For Logistics Center Location Selection. The 2011 New Orleans International Academic Conference, New Orleans, Louisiana USA ,515–521.
Flores, B. E., Olson, D. L., & Dorai, V. K. (1992). Management of multicriteria inventory classification. Mathematical and Computer Modeling, 16(12), 71–82.
Forman, E. H., & Selly, M. A. (2001). Decision by Objectives, Mailand Press.
Gharehgozli, A. H., Rabbani, M., Zaerpour, N., & Razmi, J. (2007). A comprehensive decision-making structure for acceptance/rejection of incoming orders in make to order environments. International Journal of Advanced Manufacturing Technology, 39, 1016–1032.
Ghodsypour, S. H., & O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytical hierarchy process and linear programming. International Journal of Production Economics, 56, 199–212.
Guerrero, H. H., & Kern G. (1990). A conceptual model for demand management in the assemble-to-order environment. Journal of Operations Management , 9(1), 65–83.
Guerrero, H. H., & Kern, G. (1988). How to more effectively accept and refuse orders. Production and Inventory Management Journal, 29(4), 59–63.
Güng?r, Z., Delice, K. E., & Kesen, S. E. (2011). New product design using FDMS and FANP under fuzzy environment. Applied Soft Computing, 11, 3347–3356.
Hatami-Marbini, A., & Tavan, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environment. Omega, 39, 373–386.
Hemmati, S. , Ebadian, M., & Nahvi, A. (2012). A new decision making structure for managing arriving orders in MTO environments. Expert Systems with Applications, 39, 2669–2676.
Hing, M. M., van Harten, A., & Schuur, P. (2002). Order acceptance with reinforcement learning. Working paper WP-66, University of Twente, the Netherlands.
Hing, M. M., Van Harten, A., & Schuur, P. (2007). Reinforcement learning versus heuristics for order acceptance on a single resource. Journal of Heuristics, 13, 167–187.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications, A State of the Art Survey. New York: Springer-Verlag.
Ivanescu, V. C. (2004). Order acceptance under uncertainty in batch process industries. Eindhoven: Technische Universiteit Eindhoven.
Jee, D. H., & Kang, J. K. (2000). A method for optimal material selection aided with decision making theory. Materials and Design, 21(3), 199–206.
Kabak, M., Burmaoglu, S., & Kazançoglu, Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications, 39, 3516–3525.
Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using
fuzzy AHP: The case of Turkey. International journal Production Economics, 87, 171–184.
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multicriteria supplier selection using Fuzzy AHP. Logistics Information Management, 16(6), 382–394.
Kalantari, M., Rabbani, M, & Ebadian, M. (2011). A decision support system for order acceptance/rejection in hybrid MTS/MTO production systems. Applied Mathematical Modelling, 35, 1363–1377.
Karimi, A. R., Mehrdadi, N., Hashemian, S. J., Nabi-Bidhendi, Gh. R., & Tavakkoli-Moghaddam, R. (2011). Using of the fuzzy TOPSIS and fuzzy AHP methods for wastewater treatment process selection. International Journal of Academic Research, 3(1), 737–745
Kniker T S , Burman M H .(2001). Applications of revenue management to manufacturing. in Third AEGEAN International Conference on Design and Analysis of Manufacturing Systems, Tinos Island, Greece, 299–308
Kolisch R.(1998).Integrated production planning, order acceptance, and due date setting for make-to-order manufacturing. Operations research proceedings. New York, Springer , 492-7.
Korpela, J., Kylaheiko, K., Lehmusvaara, A., and Tuominen, M. (2002). An analytic approach to production capacity allocation and supply chain design. International Journal of Production Economics, 78(2), 187–195.
kumar, S., & Mahapatra , S. S. (2009). A fuzzy multi-criteria decision making approach for supplier selection in supply chain management. African Journal of Business Management, 3(4), 168–177.
Lee, A. H. I., Chen, W. C., & Chang, C.J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications, 34(1), 96–107.
Lewis, H. F., & Slotnick, S. A. (2002). Multi-period job selection: Planning workloads to maximize profit. Computers and Operations Research, 29, 1081–1098.
Liang, G. S., & Wang, M. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78, 22–33.
Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, 59, 17–31.
Lin, R-H. (2009). An integrated FANP–MOLP for supplier evaluation and order allocation. Applied Mathematical Modelling, 33, 2730–2736.
Marzouk, M. M. (2011). ELECTRE III model for value engineering applications. Automation in Construction, 20, 596–600.
Mikaeil, Reza., Yousefi, R., & Ataei, M. (2011). Sawability ranking of carbonate rock using fuzzy analytical hierarchy process and TOPSIS approaches. Scientia Iranica B, 18 (5), 1106–1115.
Mula, J., Poler, R., Garc?a-Sabater, J. P., & Lario, F. C. (2006). Models for production planning under uncertainty:A review. International journal Production Economics, 103, 271–285.
Murtaza, M. B. (2003). Fuzzy-AHP application to country risk assessment. American Business Review, 21(2), 109–116.
Nandi, A., & Rogers, P. (2003). Behavior of an order release mechanism in a make-to order Manufacturing system with selected order acceptance. In Proceedings of the 2003 winter simulation conference, 1251–1259.
Ngai, E. W. T., & Chan, E. W. C. (2005). Evaluation of knowledge management tools using AHP. Expert Systems with Applications, 29, 889–899.
?nüt, S., Kara, S. S., & Isik, E. (2009). Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company. Expert Systems with Applications, 36, 3887–3895.
Onüt, S., & Soner, S. (2007). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552–1559.
Ramanathan, R., & Ganesh, L. S. (1995). Using AHP for resource allocation problems. European Journal of Operational Research, 80(2), 410–417.
Rogers, M., & Bruen, M. (1998). A new system for weighting environmental criteria for use within ELECTRE III. European Journal of Operational Research, 107, 552–563.
Rogers, P., & Nandi, A. (2007). Judicious order acceptance and order release in make- to-order manufacturing systems. Production Planning and Control, 18(7), 610–625.
Rom, W. O., & Slotnick, S. A. (2009). Order acceptance using genetic algorithms. Computers & Operations Research, 36, 1758–1767.
Roundy, R., Chen, D., Chen, P., Cakanyildirim, M., Freimer M. B., & Melkonian, V. (2005). acceptance of customer orders for a multi-stage batch manufacturing system: models and algorithms, IIEransactions, 37(12), 1093–105.
Simampo, A., & Ryan, S., M. (2003). Capacity expansion for a loss system with exponential demand growth. Computers & Operations Research, 30 , 1525–1537.
Shyur, H. J. (2006). COTS evaluation using modified TOPSIS and ANP. Applied Mathematics and Computation, 177, 251–259.
Slotnick, S. A., & Morton T. E. (2007). Order acceptance with weighted tardiness. Computers & Operations Research , 34 , 3029–3042.
Slotnick, S. A., & Morton, T. E. (1996). Selecting jobs for a heavily loaded shop with lateness penalties. Computers & Operations Research, 23(2), 131–140.
Snoek, M.(2000). Neuro-genetic order acceptance in a job shop setting. Proceedings of the 7thinternational conference on Neural Information Processing, Taejon, Korea, pp. 815-819.
Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications,37(12), 7745–7754 .
Taskin, G. A. (2008). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36, 4067–4074.
Taylor, F. A., Ketcham, A. F., & Hoffman, D. (1998). Personnel evaluation with AHP. Management Decision, 36, 679–685.
Teodorovic, D. (1985). Multi-criteria ranking of air shuttle alternatives. Transportation Research Part B: Methodological, 19(1), 63–72.
Teodorovic, D. (1985). Multi-criteria ranking of air shuttle alternatives. Transportation Research Part B:
Methodological, 19(1), 63–72.
Wang, J., Yang, J., Q., & Lee, H. (1994). Multicriteria order acceptance decision support in over-demanded job shops: a neural network approach. Mathematical Computer Modelling, 19(5), 1–19.
Wang, T. C., & Chen, Y. H. (2008). Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP. Information Sciences, 178, 3755–3765.
Wester, F. A. W., Wijngaard, J., & Zijm, W. H. M. (1992). Order acceptance strategies in a production-to-order environment with setup times and due-dates. International Journal of Production Research, 30(6), 1313-1326.
Wu M C, Chen S Y.(1997 ). A multiple criteria decision-making model for justifying the acceptance of rush orders. Production planning & control , 8(8) , 753- 761.
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