Abdelaziz, F. B., Aouni, B., & Fayedh, R. E. (2007). Multi-objective stochastic programming for portfolio selection. European Journal of Operational Research, 177, 1811-1823. http://dx.doi.org/10.1016/j.ejor.2005.10.021

Adler, N., Friedman, L., & Sinuany-Stern, Z. (2002). Review of ranking methods in the data envelopment analysis context. European Journal of Operational Research, 140, 249-265. http://dx.doi.org/10.1016/S0377-2217(02)00068-1

Ahern, R., & Anandarajah, G. (2007). Railway projects prioritisation for investiment: Application of goal programming. Transport Policy, 14, 70-80. http://dx.doi.org/10.1016/j.tranpol.2006.10.003

Aköz, O., & Petrovic, D. (2007). A fuzzy goal programming method with imprecise goal hierarchy. European Journal of Operational Research, 181(3), 1427-1433. http://dx.doi.org/10.1016/j.ejor.2005.11.049

Abensur, E. O. (2012). Um modelo multiobjetivo de otimização aplicado ao processo de orçamento de capital. Gestão & Produção, 19(4), 747-758. http://dx.doi.org/10.1590/S0104-530X2012000400007

Aouni, B., Abdelaziz, F. B., & Martel, J. M. (2005). Decision-maker's preferences modeling in the stochastic goal programming. European Journal of Operational Research, 162, 610-618. http://dx.doi.org/10.1016/j.ejor.2003.10.035

Aouni, B., & Kettani, O. (2001). Goal programming model: A glorious history and a promising future. European Journal of Operational Research, 133, 225-231. http://dx.doi.org/10.1016/S03772217(00)00294-0

Aouni, B., Martel, J. M., & Hassaine, A. (2009). Fuzzy goal Programming model: Na overview of the current state-of-the Art. Microelectronics and Reliability, 33, 63-80.

Aouni, B., & Torre, L. T. (2010). A generalized stochastic goal programming model. Applied Mathematics and Computation, 215, 4347-4357. http://dx.doi.org/10.1016/j.amc.2009.12.065

Appolinário, F. (2006). Metodologia da ciência: filosofia e prática da pesquisa. São Paulo: Editora Pioneira Thomson Learning.

Arenas-Parra, M., Bilbao-Terol, A., Pérez-Gladish, B., & Uría, M. V. R. (2010). A new approach of Romero's extended lexicographic goal programming: fuzzy extended lexicographic goal programming. Soft Computing, 14, 1217-1226. http://dx.doi.org/10.1007/s00500-009-0533-y

Athanassopoulos, A. D. (1995). Goal Programming & Data envelopment analysis (GoDEA) for target-based multi-level planning: Allocating central grants to the Greek local authorities. European Journal of Operational Research, 87, 535-550. http://dx.doi.org/10.1016/0377-2217(95)00228-6

Baker, R. C., & Talluri, S. (1997). A closer look at the use of data envelopment analysis for technology selection. Computers and Industrial Engineering, 32, 101-108. http://dx.doi.org/10.1016/S0360-8352(96)00199-4

Bal, H., Örkcü, H. H., & Çelebioğlu, S. (2008). A new method based on the dispersion of weights in data envelopment analysis. Computers and Industrial Engineering, 54, 502-512. http://dx.doi.org/10.1016/j.cie.2007.09.001

Bal, H., Örkcü, H. H., & Çelebioğlu, S. (2010). Improving the discrimination power and weights dispersion in the data envelopment analysis. Computers and Operations Research, 37, 99-107. http://dx.doi.org/10.1016/j.cor.2009.03.028

Bankain-Tabrizi, B., Shahanaghi, K., & Jabalameli, M. S. (2012). Fuzzy multi-choice goal programming. Applied Mathematical Modelling, 35(4), 1415-1420.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092. http://dx.doi.org/10.1287/mnsc.30.9.1078

Beale, E. M. L. (1955). On minimizing convex function subject to linear inequalities. Journal of the Royal Statistical Society. Series B, 17(2), 173-184.

Ben-Tal, A., & Nemirovski, A. (1998). Robust convex optimization. Mathematics of Operations Research, 4, 769-805. http://dx.doi.org/10.1287/moor.23.4.769

Ben-Tal, A., & Nemirovski, A. (2000). Robust Solutions of Linear Programming Problems Contaminated With Uncertain Data. Mathematical Programming, 88, 411-424. http://dx.doi.org/10.1007/PL00011380

Bertsimas, D., & Sim, M. (2003). Robust discrete optimization and network flows. Mathematical Programming. Series B, 98(1-3), 49-71. http://dx.doi.org/10.1007/s10107-003-0396-4

Bertsimas, D., & Thiele, A. (2006). A robust optimization approach to inventory theory. Operations Research, 54(1), 150-168. http://dx.doi.org/10.1287/opre.1050.0238

Biswas, A., & Pal, B. B. (2005). Application of fuzzy goal programming technique to land use planning in agricultural system. Omega, 33, 391-398. http://dx.doi.org/10.1016/j.omega.2004.07.003

Bravo, M., & Gonzalez, I. (2009). Applying stochastic goal programming: a case study on water use planning. European Journal of Operational Research, 196, 1123-1129. http://dx.doi.org/10.1016/j.ejor.2008.04.034

Caballero, R., Gómez, T., & Ruiz, F. (2009). Goal Programming: Realistic Targets for the near future. Journal of Multi-Criteria Decision Analysis, 16, 79-110. http://dx.doi.org/10.1002/mcda.442

Chang, C.-T. (2000). An efficient linearization approach for mixed integer problems. European Journal of Operational Research, 123, 652-659. http://dx.doi.org/10.1016/S0377-2217(99)00106-X

Chang, C.-T. (2004). On The Mixed Binary Goal Programming Problems. Applied Mathematics and Computation, 159, 759-768. http://dx.doi.org/10.1016/j.amc.2003.11.001

Chang, C.-T. (2007). Multi-Choice Goal Programming. The International Journal of Management Science, 35, 389-396.

Chang, C.-T. (2008). Revised Multi-Choice Goal Programming. Applied Mathematical Modelling, 32, 2587-2595. http://dx.doi.org/10.1016/j.apm.2007.09.008

Chang, C.-T. (2010). Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in Guerrilla marketing. Applied Mathematical Modelling, 58, 3586-3598.

Chang, C.-T., Chen, H-M., & Zhuang, Z.-Y. (2012a). Revised multi-segment goal programming: Percentage goal programming. Computers & Industrial Enginnering, 63, 1235-1242. http://dx.doi.org/10.1016/j.cie.2012.08.005

Chang, C.-T., Chen, H-M., & Zhuang, Z.-Y. (2012b). Multi-coefficients goal programming. Computers & Industrial Enginnering, 62, 616-623. http://dx.doi.org/10.1016/j.cie.2011.11.027

Chang, C.-T., & Lin, T. C. (2009). Interval goal programming for S-Shaped penalty function. European Journal of Operational Research, 199, 9-20. http://dx.doi.org/10.1016/j.ejor.2008.10.009

Charnes, A., & Cooper, W. W. (1959). Chance - constrained programming. Management Science, 6(1), 73-79. http://dx.doi.org/10.1287/mnsc.6.1.73

Charnes, A., & Cooper, W. W. (1961). Management Model and Industrial Application of Linear Programming, 1. New York: Wiley.

Charnes, A., Cooper, W. W., Rhodes E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444. http://dx.doi.org/10.1016/0377-2217(78)90138-8

Charnes, A., Cooper, W. W., Huang, Z. M., & Sun, D. B. (1990). Polyhedral cone-ratiomodels with an illustrative application to large commercial banks. Journal of Econometrics, 46, 73-91. http://dx.doi.org/10.1016/0304-4076(90)90048-X

Chen, A., & Xu, X. (2012). Goal programming approach to solving network design problem with multiple objectives and demand uncertainty. Expert Systems with applications, 39(4), 4160-4170. http://dx.doi.org/10.1016/j.eswa.2011.09.118

Cooper, W. W. (2005). Origins, Uses of, and Relations Between Goal Programming and Data Envelopment Analysis.Journal of Multi-Criteria Decision Analysis, 13, 3-11. http://dx.doi.org/10.1002/mcda.370

Cooper, W. W., Seiford, L. M., & Tone, K. (2006). Introduction to Data Envelopment Analysis and its uses: with DEA-Solver software and references. New York: Springer.

Cooper, W. W., Sieford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, application, references and DEA-Solver Software (2nd ed.). New York: Springer Science; Business Media.

Cunha, V., & Caixeta-Filho, J. C. (2002). Gerenciamento da Coleta de Resíduos Sólidos Urbanos: Estruturação e Aplicação de Modelo Não-Linear De Programação Por Metas. Gestão & Produção, 9, 143-161. http://dx.doi.org/10.1590/S0104-530X2002000200004.

Dantzig, G. B. (1955). Linear programming under uncertainty. Management Science, 1(3), 197-206.

Deb, K. (2001a). Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons.

Deb, K. (2001b). Nonlinear goal programming using multi-objective genetic algorithms. Journal of the Operational Research Society, 52(3), 291-302. http://dx.doi.org/10.1057/palgrave.jors.2601089

Dhahri, I., & Chabchoub, H. (2007). Nonlinear goal programming models quantifying the bullwhip effect in supply chain based on ARIMA parameters. European Journal of Operational Research, 177(3), 1800-1810. http://dx.doi.org/10.1016/j.ejor.2005.10.065

Diwekar, U. (2002). Optimization under uncertainty. SIAG/OPT Views-and-News, 13(1), 1-8.

Gembicki, F. W., & Haimes, Y. Y. (1975). Approach to performance and sensitivity multiobjective optimization: Goal attainment method. IEEE Transactions on Automatic Control, 20, 769-771. http://dx.doi.org/10.1109/TAC.1975.1101105

Gil, A. C. (2009). Como elaborar projetos de pesquisa (4. ed.). São Paulo: Atlas.

Goldbarg, M. C., & Luna, H. P. L. (2005). Otimização Combinatória e Programação Linear: Modelos e Algoritmos (2. ed.). São Paulo: Campus.

Gordon, H., Dash, J. R., & Kajiji, N. A. (2005). Nonlinear goal programming model for efficient asset-liability management of property liability insurers. INFOR, 43(2), p.135-156.

Hannan, E. L. (1981a). On Fuzzy Goal Programming. Decision Sciences, 12, 522-531. http://dx.doi.org/10.1111/j.1540-5915.1981.tb00102.x

Hannan, E. L. (1981b). Some Further Comments on Fuzzy Priorities. Decision Sciences, 12, 539-541. http://dx.doi.org/10.1111/j.1540-5915.1981.tb00104.x

Hayashi, H. (1998). Multicriteria Aid for Agricultural Decisions Using Preference Relations: Methodology and Application. Agricultural System, 58, 483-503. http://dx.doi.org/10.1016/S0308-521X(98)00063-8

Hatami-Marbini, A., Emrouznejad, A., & Tavana, M. A. (2011). Taxonomy and review of the fuzzy data Envelopment Analysis literature: Two decades in the Making. European Journal of Operational Research, 214, 457-472. http://dx.doi.org/10.1016/j.ejor.2011.02.001

Ignizio, J. P. (1985). Introduction to linear goal programming. Sage: Beverly Hills.

Ignizio, J. P. (1976). Goal Programming and Extensions. Lexington Books: Lexington.

Ignizio, J. P. (1978). Review of goal programming: a tool for multiobjective analysis. Journal of the Operational Research Society, 29, 1109-1119.

Ignizio, J. P. (1982). Linear programming in Single & Multiple-objective Systems. Prentice-Hall: Englewood Cliffs.

Ijiri, Y. (1965). Management Goals and Accounting for Control. North-Holland Publishing Company: Amsterdam.

Jamalnia, A., & Soukhakian, M. A. (2009). A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning. Computers & Industrial Engineering, 56, 1474-1486. http://dx.doi.org/10.1016/j.cie.2008.09.010

Jones, D., & Barnes, E. M. (2000). Fuzzy composite programming to combine remote sensing and crop models for decision support in precision crop management. Agricultural System, 65, 137-158. http://dx.doi.org/10.1016/S0308-521X(00)00026-3

Jones, D., Mirrazavi, S. K., & Tamiz, M. (2002). Multiobjective meta-heuristics: an overview of the current state-of-the-art. European Journal of Operational Research, 137, 1-9. http://dx.doi.org/10.1016/S0377-2217(01)00123-0

Jones, D. F., & Tamiz, M. (2002). Goal programming in the period 1990-2000. In M. Ehrgott & X. Gandibleux (Ed.), Multicriteria Optimization: State of the Art Annotated Bibliographic Survey (chapt. 3). Kluwer Academic Publisher Boston.

Joshi, R. R. (1995). A new approach to stochastic programming problems: Discrete model. European Journal of Operational Research, 83, 514-529. http://dx.doi.org/10.1016/0377-2217(93)E0218-M

Kao, C., & Liu, S. T. (2000). Fuzzy efficiency measures in data envelopments analysis. Fuzzy sets and systems, 133, 427-437. http://dx.doi.org/10.1016/S0165-0114(98)00137-7

Kim, J. S., & Whang, K. S. (1998). A tolerance approach to the fuzzy goal programming problems with unbalanced triangular membership function. European Journal of Operational Research, 107, 614-624. http://dx.doi.org/10.1016/S0377-2217(96)00363-3

Kornbluth, J. S. H. (1973). A survey goal programming. The International Journal of Management Science, 1, 193-205.

Kouvelis, P., & Yu, G. (1997). Robust Discret Optimization and its Application. London: Kluwer Academic Publisher. http://dx.doi.org/10.1007/978-1-4757-2620-6

Kumar, M., Vrat, P., & Shankar, R. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & Industrial Engineering, 46, 69-85. http://dx.doi.org/10.1016/j.cie.2003.09.010

Kuriger, G., & Ravindran, A. R. (2005). Intelligent search methods for nonlinear goal programming problems. INFOR, 43(2), 79-92.

Lee, S. M. (1972). Goal Programming for Decision Analysis. Auerbach: Philadelphia. 387 p.

Lee, S. M., & Olson, D. L. (1999). Goal programming. In T. Gal, T. Hanne & T. Stewart, Advances in Multicriteria Decision Making. Boston: Kluwer Academic Publishers. http://dx.doi.org/10.1007/978-1-4615-5025-9_8

Lertworasirikul, S., Fang, S. C., Joines, J. A., & Nuttle, H. L. W. (2003). Fuzzy data envelopment analysis (DEA): A possibility approach. Fuzzy Sets and Systems, 139, 379-394. http://dx.doi.org/10.1016/S0165-0114(02)00484-0

Li, X. B., & Reeves, G. R. (1999). A multiple criteria approach to data envelopment analysis. European Journal of Operational Research, 115, 507-517. http://dx.doi.org/10.1016/S0377-2217(98)00130-1

Liang, T. F., & Wang, M-J. (1993). Evaluating human reliability using fuzzy relation. Microelectron, 33, 63-80.

Liang, T. F. (2010). Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments. Expert System with Applications, 37, 8499-8507. http://dx.doi.org/10.1016/j.eswa.2010.05.026

Liao, C. N. (2009). Formulating the multi-segment goal programming. Computers and Industrial Engineering, 56, 138-141. http://dx.doi.org/10.1016/j.cie.2008.04.007

Liao, C. N., & Kao, H. P. (2010). Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming. Computers and Industrial Engineering, 58, 571-577. http://dx.doi.org/10.1016/j.cie.2009.12.004

Marins, F. A. S., Silva, A. F; Solomon, V. A. P., & Silva, G. M. (2010). Otimização multiobjetivo fuzzy no planejamento agregado da produção e distribuição em usinas de açúcar e álcool. In Simpósio Brasileiro de Pesquisa Operacional, Bento Gonçalves.

Marins, F. A. S., Silva, A. F; Ribeiro, I., & Montevechi, J. A. B. (2011). Solving Real Problems in Sugar and Ethanol Milling Companies with an Extended Goal Programming Model. In Triennial Conference of the International Federation of Operational Research Societies - IFORS, Melbourne.

Martel, J. M., & Aouni, B. (1998). Diverse Imprecise Goal Programming Model Formulations. Journal of Global Optimization, 12, 127-138. http://dx.doi.org/10.1023/A:1008206226608

Miettinen, K., Lotov, A. V., Kamenev, G. K., & Berezkin, V. E. (2003). Integration of two multiobjective optimization methods for nonlinear problems. Optimization Methods and Software, 18(1), 63-80. http://dx.doi.org/10.1080/1055678031000116538

Mohamed, R. H. (1997). The relationship between goal programming and fuzzy programming. Fuzzy Sets and Systems, 89, 215-222. http://dx.doi.org/10.1016/S0165-0114(96)00100-5

Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43, 264-281. http://dx.doi.org/10.1287/opre.43.2.264

Munhoz, J. R., & Morabito, R. (2001). Um modelo baseado em programação linear e programação de metas para análise de um sistema de produção e distribuição de suco concentrado congelado da laranja. Gestão & Produção, 8, 139-159.

Munhoz, J. R., & Morabito, R. (2010). Otimização no planejamento agregado de produção em indústrias de processamento de suco concentrado congelado de laranja. Gestão & Produção, 3, 465-481. http://dx.doi.org/10.1590/S0104-530X2010000300003

Munhoz, J. R., & Morabito, R. (2012). Uma abordagem de otimização robusta no planejamento agregado de produção na indústria cítrica. Produção, 23(2), 422-435. http://dx.doi.org/10.1590/S0103-65132012005000054

Narasimhan, R. (1980). Goal programming in a fuzzy environment. Decision Sciences, 11, 325-336. http://dx.doi.org/10.1111/j.1540-5915.1980.tb01142.x

Narasimhan, R. (1981). Fuzzy Goal Programming: Some Comments. Decision Sciences, 12, 532-538. http://dx.doi.org/10.1111/j.1540-5915.1981.tb00103.x

Ogryczak, W. (2001). Comments on properties of the Minmax solutions in goal programming. European Journal of Operational Research, 132, 17-21. http://dx.doi.org/10.1016/S0377-2217(00)00089-8

Özcan, U., & Toklu, B. (2009). Multiple-criteria decision-making in two-sided assembly line balancing: a goal programming and a fuzzy goal programming models. Computers and Operations Research, 36, 1955-1965. http://dx.doi.org/10.1016/j.cor.2008.06.009

Paiva, R. P. O. (2009). Modelagem do planejamento agregado da produção em usinas cooperadas do setor sucroenergético utilizando programação matemática e otimização robusta (Tese de doutorado). Universidade Federal de São Carlos, São Carlos.

Paiva, R. P. O., & Morabito, R. (2011). Programação estocástica robusta aplicada ao planejamento agregado da safra em usinas cooperadas do setor sucroenergético. Gestão & Produção, 18(4), 719-738. http://dx.doi.org/10.1590/S0104-530X2011000400004

Pal, B. B., Moitra, B. N., & Maulik, U. (2003). A goal programming procedure for fuzzy multiobjective linear fractional programming problem. Fuzzy Sets and Systems, 139, 395-405. http://dx.doi.org/10.1016/S0165-0114(02)00374-3

Panda, S. (2005). Determination of EOQ of multiitem inventory problems through nonlinear goal programming with penalty function. Asia-Pacific Journal of Operational Research, 22(4), 539-553. http://dx.doi.org/10.1142/S0217595905000728

Peterson, A. P. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261-1264. http://dx.doi.org/10.1287/mnsc.39.10.1261

Piewthongngam, K., Pathumnakul., S., & Setthanan, K. (2009). Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry. Agricultural System, 102, 58-66. http://dx.doi.org/10.1016/j.agsy.2009.07.002

Pizzolato, N. D., & Gandolpho, A. A. (2012). Técnicas de Otimização. Rio de Janeiro: Livros Técnicos e Científicos Editora.

Powell, J. G., & Premachandra, I. M. (1998). Accommodating diverse institutional investment objectives and constraints using non-linear goal programming. European Journal of Operational Research, 105, 447-456. http://dx.doi.org/10.1016/S0377-2217(97)00061-1

Romero, C. (1986). A survey of generalized goal programming (1970-1982). European Journal of Operational Research, 25, 183-191. http://dx.doi.org/10.1016/0377-2217(86)90084-6

Romero, C. (2001). Extended lexicographic goal programming: a unifying approach. Omega, 29, 63-71. http://dx.doi.org/10.1016/S0305-0483(00)00026-8

Romero, C. (2004). A general structure of achievement function for a goal programming model. European Journal of Operational Research, 153, 675-686. http://dx.doi.org/10.1016/S0377-2217(02)00793-2

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234-281. http://dx.doi.org/10.1016/0022-2496(77)90033-5

Saaty, T. L. (2006). Decision Making with the Analytic Network Process. International Series in Operations Research & Management Science, 95, 1-26. http://dx.doi.org/10.1007/0-387-33987-6_1

Saber, H. M., & Ravindran, A. (1993). Nonlinear goal programming theory and practice: a survey. Computers and Operations Research, 20, 275-291. http://dx.doi.org/10.1016/0305-0548(93)90004-3

Sahinidis, N. V. (2004). Optimization under uncertainty: State-of-the-art and opportunities. Computers and Chemical Engineering, 28, 971-983. http://dx.doi.org/10.1016/j.compchemeng.2003.09.017

Schniederjans, M. J. (1995). Goal Programming: Methodology and Applications. Kluwer Academic Publishers: Norwell. http://dx.doi.org/10.1007/978-1-4615-2229-4

Sen, S., & Higle, J. L. (1999). An introductory tutorial on stochastic linear programming models. Interfaces, 29, 33-61. http://dx.doi.org/10.1287/inte.29.2.33

Shimizu, T. (2010). Decisão nas Organizações. São Paulo: Atlas.

Silva, A. F. (2009). Modelagem do Planejamento Agregado da Produção de uma Usina Sucroalcooleira (Dissertação de mestrado). Escola Federal de Engenharia de Itajubá, Universidade Federal de Itajubá, Itajubá .

Silva, A. F. (2013). Otimização multiobjetivo no planejamento agregado da produção e na cogeração de energia elétrica de usina do setor sucroenergético (Tese de doutorado). Faculdade de Engenharia de Guaratinguetá, Universidade Estadual Paulista, Guaratinguetá .

Silva, A. F., Marins, F. A. S., & Montevechi, J. A. B. (2012a). Tratamento da incerteza no planejamento da colheita de cana de açúcar utilizando um modelo de Programação por Metas Multi-escolha Revisado. In Simpósio Brasileiro de Pesquisa Operacional - SBPO, Congreso Latino-Iberoamericano de Investigación Operativa, Rio de Janeiro.

Silva, A. F., Marins, F. A. S., & Montevechi, J. A. B. (2013a). Multi-choice mixed integer goal programming optimization in a sugar and ethanol milling company. Applied Mathematical Modelling, 37(1), 6146-6261. http://dx.doi.org/10.1016/j.apm.2012.12.022

Silva, A. F., Marins, F. A. S., & Montevechi, J. A. B. (2013b). Aplicação de programação por metas binária: mista em uma empresa do setor sucroenergético. Gestão & Produção, 20(2), 321-336.

Silva, A. F., Marins, F. A. S., & Santos, M. V. B. (2012b). Programação por metas e análise envoltória de dados na avaliação da eficiência de plantas mundiais de manufatura. In Encontro Nacional de Engenharia de Produção, Bento Gonçalves.

Silva, A. F., Marins, F. A. S., & Santos, M. V. B. (2013c). Programação por Metas e Análise Envoltória de Dados na Avaliação da Eficiência de Plantas Mundiais de Manufatura. Revista Eletrônica Pesquisa Operacional para o Desenvolvimento, 5(2), 172-184.

Silva, A. F., Marins, F. A. S., & Simões, M. V. B. (2012c). Programação por metas e análise envoltória de dados nos processos licitatórios de contratações de embarcações da Petrobrás. In Simpósio de Engenharia de Produção - SIMPEP, Bauru.

Silva, A. F., Marins, F. A. S., Salomon, V. A. P., Montevechi, J. A. B., & Neves, S. M. (2009). Decisões por múltiplos critérios e objetivos no planejamento agregado da produção e na comercialização e distribuição de uma usina sucroalcooleira. In Simpósio de Engenharia de Produção - SIMPEP, Bauru.

Silva, A. F., Marins, F. A. S., Salomon, V. A. P., & Silva, G. (2010a). Otimização multiobjetivo fuzzy no planejamento agregado da produção e distribuição em usinas de açúcar e álcool. In Simpósio Brasileiro de Pesquisa Operacional, Bento Gonçalves.

Silva, A. F., Marins, F. A. S., Silva, G., & Lopes, P. R. M. (2010b). Um modelo multiescolhas de programação de metas inteira mista para o planejamento agregado da produção em uma usina brasileira de açúcar e etanol. In Encontro Regional de Pesquisa Operacional da Região Sudeste - ERPO, Rio de Janeiro.

Silva, A. F., Lopes, P. R. M., & Marins, F. A. S. (2011a). Método de seleção de variedades de cana para plantio utilizando a programação de metas & Análise por Envoltória de Dados. In Encontro Nacional de Engenharia de Produção - ENEGEP, Belo Horizonte.

Silva, A. F., Ribeiro, I. M., Lopes, P. R. M. A., & Marins, F. A. S. (2011b). Uma Investigação Sobre os Modelos da Programação De Metas Sob Certeza e Sob Incerteza: Aplicação a Problemas de Planejamento Agregado em Usinas Sucroalcooleiras. In Encontro Nacional de Engenharia de Produção - ENEGEP, Belo Horizonte.

Silva, A. F., Marins, F. A. S., Ribeiro, I. M., Lopes, P. R., & Montevechi, J. A. B. (2011c). Planejamento Otimizado para Colheita de Cana de Açúcar de Uma Usina Sucroalcooleira. In Simpósio Brasileiro de Pesquisa Operacional - SBPO, Ubatuba.

Silva, A. F., Marins, F. A. S., Ferreira, U. R., & Montevechi, J. A. B. (2012d). A Fuzzy Goal Programming Model for Solving Aggregate Production-Planning Problems under uncertainty: A Case Study in a Brazilian Sugar Mill. In Informs Conference, Beijing.

Sueyoshi, T. (1999). DEA - discriminate analysis in the view of goal programming. European Journal of Operational Research, 115, 564-582. http://dx.doi.org/10.1016/S0377-2217(98)00014-9

Taguchi, T., Yokota, T., & Gen, M. (2003). Method for solving nonlinear goal programming tasks with interval coefficients using GA. Electronics and Communications in Japan, Part 3, 86(4), 809-817. http://dx.doi.org/10.1002/ecjc.1145

Tamiz, M., Jones, D. F., & El-Darzi, E. (1995). A review of Goal Programming and its applications. Annals of Operations Research, 58, 39-53. http://dx.doi.org/10.1007/BF02032309

Tamiz, M., Jones, D., & Romero, C. (1998). Goal programming for decision making: an overview of the current state-of-the-art. European Journal of Operational Research, 111, 569-581. http://dx.doi.org/10.1016/S0377-2217(97)00317-2

Ustun, O., & Demirtas, E. A. (2008). An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. The international Journal of management science, 36(4), 509-521.

Ustun, O. (2012). Multi-choice goal programming formulation based on the conic scalarizing function. Applied Mathematical Modelling, 36(3), 974-988. http://dx.doi.org/10.1016/j.apm.2011.07.065.

Uría, M. V. R., Caballero, R., Ruiz, F., & Romero, C. (2002). Meta-goal programming. European Journal of Operational Research, 136(2), 422-429.

Vitoriano, B., & Romero, C. (1999). Extended interval goal programming. Journal of Operational Research Society, 50, 1280-1283.

Wang, H. F., & Fu, C. C. (1997). A generalization of fuzzy goal programming with preemptive structure. Computers Operational Research, 24, 819-828. http://dx.doi.org/10.1016/S0305-0548(96)00096-2

Wang, R. C., & Liang, T. F. (2004). Projects management decisions with multiple fuzzy goals. Construction Management and Economics, 22, 1047-1056. http://dx.doi.org/10.1080/0144619042000241453

Wang,Y. M., & Luo, Y. (2009). A note on a new method based on the dispersion of weights in Data Envelopment Analysis. Computes & Industrial Engineering, 56, 1703-1707. http://dx.doi.org/10.1016/j.cie.2008.08.014

Wong, Y. H. B., & Beasley, J. E. (1990). Restricting weight flexibility in Data Envelopment Analysis. Journal of the Operational Research Society, 41, 829-835.

Yaghin, R. G., Torabi, S. A., & Ghomi, S. M. T. F. (2012). Integrated markdown pricing and aggregate production planning in a two echelon supply chain: A hybrid fuzzy multiple objective approach. Applied Mathematical Modelling, 36, 6011-6030. http://dx.doi.org/10.1016/j.apm.2012.01.029

Yaghoobi, M. A., & Tamiz, M. (2007). A note on article A tolerance approach to the fuzzy goal programming problems with unbalanced triangular membership function. European Journal of Operational Research, 176, 636-640. http://dx.doi.org/10.1016/j.ejor.2005.06.045

Yang, T., Ignizio, J. P., & Kim, H. J. (1991). Fuzzy programming with nonlinear membership functions: piecewise linear approximation. Fuzzy Sets and Systems, 41, 39-53. http://dx.doi.org/10.1016/0165-0114(91)90156-K

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X

Zanakis, S. M., & Gupta, S. K. (1985). A categorized bibliographic survey of goal programming. Omega, 13, 211-222. http://dx.doi.org/10.1016/0305-0483(85)90059-3

Zeleny, M. (1973). Compromise programming. In J. Cochrane & M. Zeleny (Ed.), Multiple Criteria Decision Making. Columbia: University of South Carolina Press.

Zheng, D. W., Gen, M., & Ida, K. (1996). Evolution Program for Nonlinear Goal Programming. Computers and Industrial Engineering, 31(4), 907-911. http://dx.doi.org/10.1016/S0360-8352(96)00262-8

Zimmermann, H. J. (1988). Fuzzy set theory and its application. Boston: Kluwer-Nijhoff Publishing.