{"id":29333,"date":"2015-06-21T15:54:12","date_gmt":"2015-06-21T12:24:12","guid":{"rendered":"http:\/\/www.irantahgig.ir\/?p=29333"},"modified":"2015-06-21T16:20:32","modified_gmt":"2015-06-21T12:50:32","slug":"%da%86%d9%86%d8%af-%d8%a7%d9%86%d8%aa%d8%ae%d8%a7%d8%a8-%d8%b5%d8%ad%db%8c%d8%ad-%d9%88-%d8%aa%d8%b1%da%a9%db%8c%d8%a8%db%8c-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%af%d8%b1-%d8%a8","status":"publish","type":"post","link":"http:\/\/www.irantahgig.ir\/?p=29333","title":{"rendered":"\u0686\u0646\u062f \u0627\u0646\u062a\u062e\u0627\u0628 \u0635\u062d\u06cc\u062d \u0648 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0647\u062f\u0641 \u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u06a9\u0646\u0648\u0646\u06cc \u062f\u0631 \u06cc\u06a9 \u0634\u0631\u06a9\u062a \u0642\u0646\u062f \u0648 \u0627\u062a\u0627\u0646\u0648\u0644 \u0686\u0627\u0628\u06a9"},"content":{"rendered":"<p style=\"text-align: center;\"><span style=\"font-size: 18px; font-family: times new roman,times;\">Multi-choice mixed integer goal programming optimization for real problems in a sugar and ethanol milling company<\/span><\/p>\n<p><span style=\"font-size: 18px;\"><strong>\u062a\u0627\u0631\u06cc\u062e:<\/strong> \u06f2\u06f0\u06f1\u06f3<\/span><\/p>\n<p><span style=\"font-size: 18px;\"><strong>\u067e\u0627\u06cc\u06af\u0627\u0647: <\/strong>\u0627\u0644\u0632\u0648\u06cc\u0631<\/span><\/p>\n<p><span style=\"font-size: 18px;\"><a title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u0627\u0635\u0644 \u0645\u0642\u0627\u0644\u0647\" href=\"http:\/\/www.irantahgig.ir\/wp-content\/uploads\/40069.pdf\" target=\"_blank\">\u0644\u06cc\u0646\u06a9 \u062f\u0627\u0646\u0644\u0648\u062f \u0627\u0635\u0644 \u0645\u0642\u0627\u0644\u0647<\/a><\/span><\/p>\n<p><span style=\"font-size: 18px;\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone\" alt=\"OK\" src=\"http:\/\/www.irantahgig.ir\/wp-content\/uploads\/OK.png\" width=\"187\" height=\"39\" \/><\/span><\/p>\n<p><span style=\"font-size: 18px;\">\t<form id=\"edd_purchase_29325\" class=\"edd_download_purchase_form edd_purchase_29325\" method=\"post\">\n\n\t\t\n\t\t<div class=\"edd_purchase_submit_wrapper\">\n\t\t\t<a href=\"#\" class=\"edd-add-to-cart button blue edd-submit\" data-nonce=\"72098b5b54\" data-action=\"edd_add_to_cart\" data-download-id=\"29325\" data-variable-price=\"no\" data-price-mode=single data-price=\"200000\" ><span class=\"edd-add-to-cart-label\">200,000 \u0631\u06cc\u0627\u0644&nbsp;&ndash;&nbsp;\u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0628\u0647 \u0633\u0628\u062f \u062e\u0631\u06cc\u062f<\/span> <span class=\"edd-loading\" aria-label=\"\u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc\"><\/span><\/a><input type=\"submit\" class=\"edd-add-to-cart edd-no-js button 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style=\"font-size: 18px;\"><strong>\u0646\u0627\u0645 \u0645\u062c\u0644\u0647:\u00a0<\/strong><span style=\"font-family: times new roman,times;\">Applied Mathematical Modelling<\/span><\/span><\/p>\n<p><span style=\"font-size: 18px;\"><strong>\u0642\u06cc\u0645\u062a:<\/strong> \u06f2\u06f0\u06f0,\u06f0\u06f0\u06f0 \u0631\u06cc\u0627\u0644<\/span><\/p>\n<p><span style=\"font-size: 18px;\"><strong>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/strong> \u06f1\u06f7<\/span><\/p>\n<p><span style=\"font-size: 18px;\"><strong>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0641\u0627\u0631\u0633\u06cc:<\/strong> \u06f3\u06f1<\/span><\/p>\n<p><span style=\"font-size: 18px;\"><strong>\u06a9\u062f: <\/strong>\u06f4\u06f0\u06f0\u06f6\u06f9<\/span><\/p>\n<h3><span style=\"font-size: 18px;\">\u0686\u06a9\u06cc\u062f\u0647 \u0641\u0627\u0631\u0633\u06cc<\/span><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-size: 18px;\">\u0647\u062f\u0641 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc (GP) \u06cc\u06a9 \u062f\u06cc\u062f\u06af\u0627\u0647 \u062a\u062d\u0644\u06cc\u0644\u06cc \u0645\u0647\u0645 \u0648 \u0637\u0631\u0627\u062d\u06cc \u0628\u0631\u0627\u06cc \u062d\u0644 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0645\u0634\u06a9\u0644\u0627\u062a \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0627\u0633\u062a. \u0645\u062f\u0644 GP \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0646 \u0628\u0627\u0631 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u0628\u0627 \u0647\u062f\u0641 \u0648\u0632\u0646\u06cc (WGP) \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0634\u06a9\u0644\u0627\u062a \u0627\u0647\u062f\u0627\u0641 \u0627\u0646\u062a\u062e\u0627\u0628 \u0633\u0637\u062d (MCAL) \u062a\u0648\u0633\u0637 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0641\u0639\u0644\u06cc GP \u0642\u0627\u0628\u0644 \u062d\u0644 \u0646\u0645\u06cc\u200c\u0628\u0627\u0634\u062f. \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647\u060c \u0645\u0627\u0686\u0646\u062f \u0647\u062f\u0641 \u0635\u062d\u06cc\u062d \u0648 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0627\u0632 \u0645\u062f\u0644 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc (MCMI-GP) \u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0631\u06cc\u0632\u06cc \u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u0634\u06a9\u0631 \u0634\u0631\u06a9\u062a \u0628\u0631\u0632\u06cc\u0644\u06cc \u0642\u0646\u062f \u0648 \u0627\u062a\u0627\u0646\u0648\u0644 \u0686\u0627\u0628\u06a9 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645. \u0645\u062f\u0644 MC-MIGP \u062f\u0631 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u067e\u0631\u0648\u0633\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0633\u0646\u062a\u06cc \u0628\u0631\u0627\u06cc \u0637\u0631\u0627\u062d\u06cc \u0645\u0648\u0627\u0631\u062f \u0628\u0633\u06cc\u0627\u0631\u06cc\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u062f\u0631 \u0633\u06cc\u0633\u062a\u0645 \u062a\u0648\u0644\u06cc\u062f \u0634\u06a9\u0631\u060c \u0627\u0644\u06a9\u0644\u060c \u0645\u0644\u0627\u0633 \u0648 \u0645\u0634\u062a\u0642\u0627\u062a \u0628\u0648\u062f. \u0627\u06cc\u0646 \u067e\u0698\u0648\u0647\u0634 \u062a\u0635\u0645\u06cc\u0645\u200c\u06af\u06cc\u0631\u06cc \u062f\u0631 \u0645\u0631\u0627\u062d\u0644 \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0648 \u0628\u0631\u062f\u0627\u0634\u062a \u0646\u06cc\u0634\u06a9\u0631 \u0648 \u062d\u0645\u0644 \u0648 \u0646\u0642\u0644 \u0628\u0631\u0627\u06cc \u062a\u0627\u0645\u06cc\u0646\u200c\u06a9\u0646\u0646\u062f\u06af\u0627\u0646 \u0648\u060c \u0628\u0647 \u0648\u06cc\u0698\u0647\u060c \u062a\u0635\u0645\u06cc\u0645\u200c\u06af\u06cc\u0631\u06cc \u062f\u0631\u062a\u0648\u0644\u06cc\u062f \u0647\u0645\u0632\u0645\u0627\u0646 \u0627\u0646\u0631\u0698\u06cc\u060c \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0641\u0631\u0627\u06cc\u0646\u062f \u062a\u0648\u0644\u06cc\u062f\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0645\u0631\u0627\u062d\u0644 \u0630\u062e\u06cc\u0631\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u062a\u0648\u0632\u06cc\u0639 \u0627\u0633\u062a.MCMIGP\u00a0 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc\u200e\u062f\u0647\u062f \u062a\u0627 \u062a\u0635\u0645\u06cc\u0645\u200e\u06af\u06cc\u0631\u0646\u062f\u06af\u0627\u0646 \u0628\u0631\u0627\u06cc \u062a\u0646\u0638\u06cc\u0645 \u0633\u0637\u062d \u0647\u062f\u0641\u200c\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u062e\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 &#8221; \u0628\u06cc\u0634\u062a\u0631\/ \u0628\u0627\u0644\u0627\u062a\u0631\u060c \u0628\u0647\u062a\u0631 &#8221; \u0648&#8221; \u06a9\u0645\u062a\u0631\/ \u067e\u0627\u06cc\u06cc\u0646\u200c\u062a\u0631\u060c \u0628\u0647\u062a\u0631&#8221; \u062f\u0631 \u0633\u0637\u062d \u0622\u0633\u067e\u06cc\u0631\u0627\u0633\u06cc\u0648\u0646 \u0628\u067e\u0631\u062f\u0627\u0632\u062f. \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u0622\u0633\u06cc\u0627\u0628 \u0642\u0646\u062f \u0648 \u0627\u062a\u0627\u0646\u0648\u0644 \u0628\u0631\u0632\u06cc\u0644 \u0627\u0646\u062c\u0627\u0645 \u0634\u062f. \u0646\u062a\u0627\u06cc\u062c\u00a0 \u0628\u0647 \u062f\u0633\u062a \u0622\u0645\u062f\u0647 \u062c\u0627\u0644\u0628 \u0627\u0633\u062a. \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0627\u06cc\u0646 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u06cc\u0646 MCMI \u0645\u062f\u0644 WGP GP\u00a0 \u0628\u0648\u062f\u0647 \u0648 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u0648\u0627\u0642\u0639\u06cc \u0628\u062f\u0633\u062a \u0622\u0645\u062f\u0647 \u0627\u0633\u062a.<\/span><\/p>\n<h3><span style=\"font-size: 18px;\">\u0686\u06a9\u06cc\u062f\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/span><\/h3>\n<p style=\"text-align: left;\"><span style=\"font-size: 18px; font-family: times new roman,times;\">Goal Programming (GP) is an important analytical approach devised to solve many realworld problems. The first GP model is known as Weighted Goal Programming (WGP). However, Multi-Choice Aspirations Level (MCAL) problems cannot be solved by current GP techniques. In this paper, we propose a Multi-Choice Mixed Integer Goal Programming model (MCMI-GP) for the aggregate production planning of a Brazilian sugar and ethanol milling company. The MC-MIGP model was based on traditional selection and process methods for the design of lots, representing the production system of sugar, alcohol, molasses and derivatives. The research covers decisions on the agricultural and cutting stages, sugarcane loading and transportation by suppliers and, especially, energy cogeneration decisions; that is, the choice of production process, including storage stages and distribution. The MCMIGP allows decision-makers to set multiple aspiration levels for their problems in which \u201cthe more\/higher, the better\u201d and \u201cthe less\/lower, the better\u201d in the aspiration levels are addressed. An application of the proposed model for real problems in a Brazilian sugar and ethanol mill was conducted; producing interesting results that are herein reported and commented upon. Also, it was made a comparison between MCMI GP and WGP models using these real cases<\/span><\/p>\n<h3><span style=\"font-size: 18px;\"><strong>\u0645\u0634\u062e\u0635\u0627\u062a \u0627\u0633\u062a\u0646\u0627\u062f\u06cc<\/strong><\/span><\/h3>\n<p style=\"text-align: left;\"><span style=\"font-size: 18px; font-family: times new roman,times;\">da Silva, A. F., Marins, F. A. S., &amp; Montevechi, J. A. B. (2013). Multi-choice mixed integer goal programming optimization for real problems in a sugar and ethanol milling company. Applied Mathematical Modelling, 37(9), 6146-6162<\/span><\/p>\n<h3><span style=\"font-size: 18px;\">\u062f\u0627\u0646\u0644\u0648\u062f \u0627\u0635\u0644 \u0645\u0642\u0627\u0644\u0647<\/span><\/h3>\n<h1><span style=\"font-size: 18px;\"><a title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u0627\u0635\u0644 \u0645\u0642\u0627\u0644\u0647\" href=\"http:\/\/www.irantahgig.ir\/wp-content\/uploads\/40069.pdf\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter\" alt=\"10002icon\" src=\"http:\/\/www.irantahgig.ir\/wp-content\/uploads\/10002icon.jpg\" width=\"186\" height=\"250\" \/><\/a>\u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0642\u0627\u0644\u0647 \u0686\u0646\u062f \u0627\u0646\u062a\u062e\u0627\u0628 \u0635\u062d\u06cc\u062d \u0648 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0647\u062f\u0641 \u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u06a9\u0646\u0648\u0646\u06cc \u062f\u0631 \u06cc\u06a9 \u0634\u0631\u06a9\u062a \u0642\u0646\u062f \u0648 \u0627\u062a\u0627\u0646\u0648\u0644 \u0686\u0627\u0628\u06a9<\/span><\/h1>\n<p style=\"text-align: justify;\"><span style=\"font-size: 18px;\">\u0645\u0642\u0627\u0644\u0647 &#8220;\u0686\u0646\u062f \u0627\u0646\u062a\u062e\u0627\u0628 \u0635\u062d\u06cc\u062d \u0648 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0647\u062f\u0641 \u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u06a9\u0646\u0648\u0646\u06cc \u062f\u0631 \u06cc\u06a9 \u0634\u0631\u06a9\u062a \u0642\u0646\u062f \u0648 \u0627\u062a\u0627\u0646\u0648\u0644 \u0686\u0627\u0628\u06a9&#8221; \u062f\u0631 \u0633\u0627\u0644 \u06f2\u06f0\u06f1\u06f3 \u062f\u0631 \u0645\u062c\u0644\u0647\u00a0<span style=\"font-family: times new roman,times;\">Applied Mathematical Modelling<\/span> \u0686\u0627\u067e \u0634\u062f\u0647 \u0648 \u062f\u0631 \u067e\u0627\u06cc\u06af\u0627\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u0627\u0644\u0632\u0648\u06cc\u0631 \u0646\u0645\u0627\u06cc\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0628\u0631\u0631\u0633\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc (GP)\u060c \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc (MCMI-GP)\u060c \u0645\u0634\u06a9\u0644\u0627\u062a \u0627\u0647\u062f\u0627\u0641 \u0627\u0646\u062a\u062e\u0627\u0628 \u0633\u0637\u062d (MCAL)\u060c \u0631\u0648\u0634\u200c GP \u0648 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u06cc\u0646 MCMI \u0648 \u0645\u062f\u0644 WGP GP\u00a0 \u067e\u0631\u062f\u0627\u062e\u062a\u0647 \u0627\u0633\u062a. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0631\u0627\u0633\u0627\u0633 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u067e\u0627\u06cc\u06af\u0627\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u06af\u0648\u06af\u0644 \u0627\u0633\u06a9\u0648\u0644\u0627\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u06f1\u06f1 \u0628\u0627\u0631 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0646\u0627\u062f \u0642\u0631\u0627\u0631 \u06af\u0631\u0641\u062a\u0647 \u0627\u0633\u062a.<\/span><\/p>\n<p><span style=\"font-size: 18px;\">\t<form id=\"edd_purchase_29325-2\" class=\"edd_download_purchase_form edd_purchase_29325\" method=\"post\">\n\n\t\t\n\t\t<div class=\"edd_purchase_submit_wrapper\">\n\t\t\t<a href=\"#\" class=\"edd-add-to-cart button blue edd-submit\" data-nonce=\"72098b5b54\" data-action=\"edd_add_to_cart\" data-download-id=\"29325\" data-variable-price=\"no\" data-price-mode=single data-price=\"200000\" ><span class=\"edd-add-to-cart-label\">200,000 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