{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T05:46:21Z","timestamp":1778910381836,"version":"3.51.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,6,1]],"date-time":"2017-06-01T00:00:00Z","timestamp":1496275200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s40815-017-0317-y","type":"journal-article","created":{"date-parts":[[2017,6,1]],"date-time":"2017-06-01T08:44:16Z","timestamp":1496306656000},"page":"187-208","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Fuzzy Order Promising Model With Non-Uniform Finished Goods"],"prefix":"10.1007","volume":"20","author":[{"given":"H.","family":"Grillo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. M. E.","family":"Alemany","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Mula","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,1]]},"reference":[{"key":"317_CR1","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1016\/j.ijpe.2011.05.015","volume":"133.2","author":"O Ahumada","year":"2011","unstructured":"Ahumada, O., Villalobos, J.R.: Operational model for planning the harvest and distribution of perishable agricultural products. Int. J. Prod. Econ. 133.2, 677\u2013687 (2011). doi: 10.1016\/j.ijpe.2011.05.015","journal-title":"Int. J. Prod. Econ."},{"key":"317_CR2","doi-asserted-by":"publisher","unstructured":"Davoli, G. et al.: A stochastic simulation approach for production scheduling and investment planning in the tile industry. Int. J. Eng. Sci. Technol. 2(9) (2010). doi: 10.4314\/ijest.v2i9.64006 .","DOI":"10.4314\/ijest.v2i9.64006"},{"key":"317_CR3","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.cie.2015.11.013","volume":"91","author":"H Grillo","year":"2016","unstructured":"Grillo, H., Alemany, M.M.E., Ortiz, A.: A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty. Comput. Ind. Eng. 91, 239\u2013261 (2016). doi: 10.1016\/j.cie.2015.11.013","journal-title":"Comput. Ind. Eng."},{"key":"317_CR4","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1080\/09537280801896011","volume":"19.2","author":"MME Alemany","year":"2008","unstructured":"Alemany, M.M.E., et al.: Order promising process for extended collaborative selling chain. Prod. Plann. Control 19.2, 105\u2013131 (2008). doi: 10.1080\/09537280801896011","journal-title":"Prod. Plann. Control"},{"key":"317_CR5","doi-asserted-by":"publisher","first-page":"596","DOI":"10.3846\/20294913.2015.1055613","volume":"21.4","author":"MME Alemany","year":"2015","unstructured":"Alemany, M.M.E., et al.: A model driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies. Technol. Econ. Dev. Econ. 21.4, 596\u2013625 (2015). doi: 10.3846\/20294913.2015.1055613","journal-title":"Technol. Econ. Dev. Econ."},{"key":"317_CR6","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.ijpe.2008.07.031","volume":"120.1","author":"F Alarc\u00f3n","year":"2009","unstructured":"Alarc\u00f3n, F., Alemany, M.M.E., Ortiz, A.: Conceptual framework for the characterization of the order promising process in a collaborative selling network context. Int. J. Prod. Econ. 120.1, 100\u2013114 (2009). doi: 10.1016\/j.ijpe.2008.07.031","journal-title":"Int. J. Prod. Econ."},{"key":"317_CR7","doi-asserted-by":"publisher","unstructured":"Bui, T., Sebastian, H.-J.: IEEE. Integration of multi-criteria decision analysis and negotiation in order promising\u2019. In: 43rd Hawaii International Conference on Systems Sciences vol 1\u20135. Proceedings of the Annual Hawaii International Conference on System Sciences. pp. 1115\u20131124 (2010). doi: 10.1109\/HICSS.2010.237","DOI":"10.1109\/HICSS.20"},{"key":"317_CR8","doi-asserted-by":"publisher","unstructured":"Ball, M.O., Chen, C.-Y., Zhao, Z.-Y.: In: Simchi-Levi, D., Wu, S.D., Shen, Z.-J. (eds.) Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era\u201d. Chap. Available to Promise, pp. 447\u2013483. Springer, Boston (2004). doi: 10.1007\/978-1-4020-7953-5_11","DOI":"10.1007\/978-1-4020-7953-5_11"},{"key":"317_CR9","doi-asserted-by":"publisher","first-page":"3380","DOI":"10.1016\/j.apm.2012.07.022","volume":"37.5","author":"MME Alemany","year":"2013","unstructured":"Alemany, M.M.E., et al.: Available-To-Promise modeling for multi-plant manufacturing characterized by lack of homogeneity in the product: An illustration of a ceramic case. Appl. Math. Model. 37.5, 3380\u20133398 (2013). doi: 10.1016\/j.apm.2012.07.022","journal-title":"Appl. Math. Model."},{"key":"317_CR10","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1016\/j.ejor.2005.10.002","volume":"177.3","author":"M Jim\u00e9nez","year":"2007","unstructured":"Jim\u00e9nez, M., et al.: Linear programming with fuzzy parameters: an interactive method resolution. Eur. J. Oper. Res. 177.3, 1599\u20131609 (2007). doi: 10.1016\/j.ejor.2005.10.002","journal-title":"Eur. J. Oper. Res."},{"key":"317_CR11","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.ejor.2009.11.031","volume":"205.1","author":"D Peidro","year":"2010","unstructured":"Peidro, D., et al.: A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. Eur. J. Oper. Res. 205.1, 65\u201380 (2010). doi: 10.1016\/j.ejor.2009.11.031","journal-title":"Eur. J. Oper. Res."},{"key":"317_CR12","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1007\/s00170-004-2436-5","volume":"28.7\u20138","author":"D Yong","year":"2006","unstructured":"Yong, D.: Plant location selection based on fuzzy TOPSIS. Int. J. Adv. Manuf. Technol. 28.7\u20138, 839\u2013844 (2006). doi: 10.1007\/s00170-004-2436-5","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"317_CR13","doi-asserted-by":"crossref","unstructured":"Chen, C.-T.: A fuzzy approach to select the location of the distribution center. In: Fuzzy Sets and Systems 118.1, pp. 65\u201373 (2001)","DOI":"10.1016\/S0165-0114(98)00459-X"},{"key":"317_CR14","doi-asserted-by":"crossref","unstructured":"Chen, C.-T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. In: Fuzzy Sets and Systems 114.1, pp. 1\u20139 (2000).","DOI":"10.1016\/S0165-0114(97)00377-1"},{"key":"317_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Y.-M., Elhag, T.M.: Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. In: Expert Systems with Applications 31.2, pp. 309\u2013319 (2006)","DOI":"10.1016\/j.eswa.2005.09.040"},{"key":"317_CR16","doi-asserted-by":"crossref","unstructured":"Wang, T.-C., Chang, T.-H.: Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. In: Expert Systems with Applications 33.4, pp. 870\u2013880 (2007)","DOI":"10.1016\/j.eswa.2006.07.003"},{"key":"317_CR17","doi-asserted-by":"publisher","unstructured":"Gupta, A., Maranas, C.D.: Managing demand uncertainty in supply chain planning. In: 2nd Pan American Workshop in Process Systems Engineering 27.8\u20139, pp. 1219\u20131227 (Sept. 2003). doi: 10.1016\/S0098-1354(03)00048-6","DOI":"10.1016\/S0098-1354(03)00048-6"},{"key":"317_CR18","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1021\/ie030555d","volume":"43.1","author":"HMS Lababidi","year":"2004","unstructured":"Lababidi, H.M.S., et al.: Optimizing the supply chain of a petrochemical company under uncertain operating and economic conditions. Ind. Eng. Chem. Res. 43.1, 63\u201373 (2004). doi: 10.1021\/ie030555d","journal-title":"Ind. Eng. Chem. Res."},{"key":"317_CR19","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.ejor.2004.01.046","volume":"167.1","author":"T Santoso","year":"2005","unstructured":"Santoso, T., et al.: A stochastic programming approach for supply chain network design under uncertainty. Eur. J. Oper. Res. 167.1, 96\u2013115 (2005). doi: 10.1016\/j.ejor.2004.01.046","journal-title":"Eur. J. Oper. Res."},{"key":"317_CR20","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1111\/j.1937-5956.2005.tb00010.x","volume":"14.1","author":"MS Sodhi","year":"2009","unstructured":"Sodhi, M.S.: Managing demand risk in tactical supply chain planning for a global consumer electronics company. Prod. Oper. Manag. 14.1, 69\u201379 (2009). doi: 10.1111\/j.1937-5956.2005.tb00010.x","journal-title":"Prod. Oper. Manag."},{"key":"317_CR21","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.ijpe.2010.06.007","volume":"128.1","author":"J Mula","year":"2010","unstructured":"Mula, J., Peidro, D., Poler, R.: The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand. Integr. Global Supply Chain 128.1, 136\u2013143 (2010). doi: 10.1016\/j.ijpe.2010.06.007","journal-title":"Integr. Global Supply Chain"},{"key":"317_CR22","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.fss.2004.07.005","volume":"150.1","author":"J Wang","year":"2005","unstructured":"Wang, J., Shu, Y.-F.: Fuzzy decision modeling for supply chain management. Fuzzy Sets Syst. 150.1, 107\u2013127 (2005). doi: 10.1016\/j.fss.2004.07.005","journal-title":"Fuzzy Sets Syst."},{"key":"317_CR23","doi-asserted-by":"publisher","unstructured":"Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. In: Management Science 17.4 (Dec. 1970). doi: 10.1287\/mnsc.17.4.B141","DOI":"10.1287\/mnsc.17.4.B141"},{"key":"317_CR24","volume-title":"Possibility Theory: An Approach to Computerized Processing of Uncertainty","author":"D Dubois","year":"2012","unstructured":"Dubois, D., Prade, H.: Possibility Theory: An Approach to Computerized Processing of Uncertainty. Springer Science & Business Media, New York (2012)"},{"key":"317_CR25","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/S0377-2217(02)00558-1","volume":"147.2","author":"D Dubois","year":"2003","unstructured":"Dubois, D., Fargier, H., Fortemps, P.: Fuzzy scheduling: modelling flexible constraints vs. coping with incomplete knowledge. Fuzzy Sets Sched. Plann. 147.2, 231\u2013252 (2003). doi: 10.1016\/S0377-2217(02)00558-1","journal-title":"Fuzzy Sets Sched. Plann."},{"key":"317_CR26","doi-asserted-by":"publisher","first-page":"4463","DOI":"10.1016\/j.apm.2014.12.057","volume":"39.15","author":"MME Alemany","year":"2015","unstructured":"Alemany, M.M.E., et al.: A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots. Appl. Math. Model. 39.15, 4463\u20134481 (2015). doi: 10.1016\/j.apm.2014.12.057","journal-title":"Appl. Math. Model."},{"key":"317_CR27","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/0360-8352(92)90077-W","volume":"23.1\u20134","author":"M Gen","year":"1992","unstructured":"Gen, M., Tsujimura, Y., Ida, K.: Method for solving multiobjective aggregate production planning problem with fuzzy parameters. Comput. Ind. Eng. 23.1\u20134, 117\u2013120 (1992). doi: 10.1016\/0360-8352(92)90077-W","journal-title":"Comput. Ind. Eng."},{"key":"317_CR28","doi-asserted-by":"publisher","first-page":"2656","DOI":"10.1016\/j.asoc.2010.10.014","volume":"11.2","author":"D Peidro","year":"2011","unstructured":"Peidro, D., Vasant, P.: Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach. Appl. Soft Comput. 11.2, 2656\u20132663 (2011). doi: 10.1016\/j.asoc.2010.10.014","journal-title":"Appl. Soft Comput."},{"key":"317_CR29","doi-asserted-by":"publisher","unstructured":"Cadenas, J., Verdegay, J.: Using fuzzy numbers in linear programming. In: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 27.6, pp. 1016\u20131022 (Dec. 1997). doi: 10.1109\/3477.650062","DOI":"10.1109\/3477.650062"},{"key":"317_CR30","doi-asserted-by":"publisher","first-page":"2640","DOI":"10.1016\/j.fss.2009.02.021","volume":"160.18","author":"D Peidro","year":"2009","unstructured":"Peidro, D., et al.: Fuzzy optimization for supply chain planning under supply, demand and process uncertainties. Fuzzy Sets Syst. 160.18, 2640\u20132657 (2009). doi: 10.1016\/j.fss.2009.02.021","journal-title":"Fuzzy Sets Syst."},{"key":"317_CR31","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1142\/S0218488502001739","volume":"10.06","author":"T-C Chu","year":"2002","unstructured":"Chu, T.-C.: Facility location selection using fuzzy TOPSIS under group decisions. Int. J Uncertain. Fuzziness Knowledgebased Syst. 10.06, 687\u2013701 (2002). doi: 10.1142\/S0218488502001739","journal-title":"Int. J Uncertain. Fuzziness Knowledgebased Syst."},{"key":"317_CR32","doi-asserted-by":"publisher","first-page":"7409","DOI":"10.1016\/j.eswa.2008.09.050","volume":"36.4","author":"I Chamodrakas","year":"2009","unstructured":"Chamodrakas, I., Alexopoulou, N., Martakos, D.: Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS. Exp. Syst. Appl. 36.4, 7409\u20137415 (2009). doi: 10.1016\/j.eswa.2008.09.050","journal-title":"Exp. Syst. Appl."},{"key":"317_CR33","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.1007\/s00170-012-4388-5","volume":"66.5\u20138","author":"M Nakhaeinejad","year":"2013","unstructured":"Nakhaeinejad, M., Nahavandi, N.: An interactive algorithm for multiobjective flow shop scheduling with fuzzy processing time through resolution method and TOPSIS. Int. J. Adv. Manuf. Technol. 66.5\u20138, 1047\u20131064 (2013). doi: 10.1007\/s00170-012-4388-5","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"317_CR34","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1007\/s40815-015-0129-x","volume":"18.6","author":"E Shekarian","year":"2016","unstructured":"Shekarian, E., et al.: A fuzzy reverse logistics inventory system integrating economic order\/production quantity models. Int. J. Fuzzy Syst. 18.6, 1141\u20131161 (2016). doi: 10.1007\/s40815-015-0129-x","journal-title":"Int. J. Fuzzy Syst."},{"key":"317_CR35","doi-asserted-by":"crossref","unstructured":"B\u00fcy\u00fck\u00f6zkan, G., Parlak, I.B., Tolga, A.C.: Evaluation of knowledge management tools by using an interval type-2 fuzzy TOPSIS method. Int. J. Comput. Intell. Syst. 9.5, 812\u2013826 (2016)","DOI":"10.1080\/18756891.2016.1237182"},{"key":"317_CR36","doi-asserted-by":"crossref","unstructured":"Saradhi, B. Pardha., Shankar, N. R., Suryanarayana, C.: Novel distance measure in fuzzy TOPSIS for supply chain strategy based supplier selection. Math. Probl. Eng. 2016 (2016)","DOI":"10.1155\/2016\/7183407"},{"key":"317_CR37","doi-asserted-by":"publisher","unstructured":"Senvar, O., Turanoglu, E., Kahraman, C.: Usage of metaheuristics in engineering: a literature review. In: Meta\u2013Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance, pp. 484\u2013528 (2013). doi: 10.4018\/978-1-4666-2086-5.ch016","DOI":"10.4018\/978-1-4666-2086-5.ch016"},{"key":"317_CR38","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1504\/IJBIC.2015.069557","volume":"7.3","author":"H Grillo","year":"2015","unstructured":"Grillo, H., et al.: Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model. Int. J. Bio-Inspired Comput. 7.3, 157\u2013169 (2015). doi: 10.1504\/IJBIC.2015.069557","journal-title":"Int. J. Bio-Inspired Comput."},{"key":"317_CR39","unstructured":"Rajavel, R., Thangarathanam, M.: Adaptive probabilistic behavioural learning system for the effective behavioural decision in cloud trading negotiation market. Futur. Gener. Comput. Syst. 58, 29\u201341 (2016)"}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s40815-017-0317-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-017-0317-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-017-0317-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T10:48:13Z","timestamp":1569408493000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s40815-017-0317-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,1]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["317"],"URL":"https:\/\/doi.org\/10.1007\/s40815-017-0317-y","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,1]]}}}