Document Type : original-application paper

Authors

1 Islamic Azad Univercity, Semnan master's degree,Industrial Engineering

2 Islamic azad univercity semnan Industrial engineering group manager

Abstract

 MID term planning or determination of productionbudget is one of more importatnt activities for manufactoring industries that is necessory to be started befor the beginning of each period.the purpose of budget , is prediction of consumption market in next period and determination of production schedule in order to provide market needs. we need to know priority of products for budgeting. this priority is presentable by decision making techniques.using data of one period don't show the process of changes in attributes during previos periods. for this reason, in this article, topsis technique is developed by using multi period data instead of one period. in order to explain this research, we will prioritize chemidarou products with more than one handred and sixty production license.but in this article, the mentioned mettod is shown in five cases of products during three consecutive years befor the intended period and we consider decision attribute such as profit margin, market share, the number of competitors ond consumption growth in country.applying of suggested method is very useful for this company and other companies with wide variety of products in case of selection high value products to stay on budget and present mid term production planning.

Keywords

Main Subjects

قراگوزلو، ع؛ برزگر، م. (1388). برنامه ریزی آرمانی با استفاده از رویکرد AHP جهت بهینه سازی ترکیب تولید. آزمایش سرزمین، 1(1).
مقصودی، ا؛ شیرویه زاد، ه. (1392). استفاده ازتکنیک تصمیم گیری چند معیاره جهت انتخاب محصولات تولیدی در شرکت لبنیات فلات کوهرنگ. دومین کنفرانس ملی مهندسی صنایع و سیستم ها، نجف آباد، دانشگاه آزاد اسلامی واحد نجف آباد، گروه مهندسی صنایع.
Dong, Q. and Y. Guo, Multiperiod multiattribute decisionmaking method based on trend incentive coefficient. International Transactions in Operational Research, 2013. 20(1): p. 141-152.
 Tavakkoli-Moghaddam, R. and N. Safaei, Solving a generalized aggregate production planning problem by genetic algorithms. Journal of Industrial Engineering International Islamic Azad University, 2006. 2(1): p. 53-64.
 Ogunyemi, O., A. Ibiwoye, and E.O. Oyatoye, Analytic hierarchy process for prioritizing production functions: Illustration with pharmaceutical data. Journal of Economics and International Finance, 2011. 3(14): p. 749.
Liang, T.-F., Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain. Computers & Industrial Engineering, 2008. 55(3): p. 676-694
 Xu, Z., On multi-period multi-attribute decision making. Knowledge-Based Systems, 2008. 21(2): p. 164-171.
 Lin, Y.-H., P.-C. Lee, and H.-I. Ting, Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications, 2008. 35(4): p. 1638-1644.
 Xu, Z. and R.R. Yager, Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning, 2008. 48(1): p. 246-262.
 Wei, G., Some geometric aggregation functions and their application to dynamic multiple attribute decision making in the intuitionistic fuzzy setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009. 17(02): p. 179-196.
 Xu, Z., Multi-period multi-attribute group decision-making under linguistic assessments. International journal of general systems, 2009. 38(8): p. 823-850.
Ho, W., X. Xu, and P.K. Dey, Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 2010. 202(1): p. 16-24.
Merigó, J.M. and A.M. Gil-Lafuente, New decision-making techniques and their application in the selection of financial products. Information Sciences, 2010. 180(11): p. 2085-2094.
Wei, G., Grey relational analysis model for dynamic hybrid multiple attribute decision making. Knowledge-Based Systems, 2011. 24(5): p. 672-679.
Jassbi, J.J., R.A. Ribeiro, and L.R. Varela, Dynamic MCDM with future knowledge for supplier selection. Journal of Decision Systems, 2014. 23(3): p. 232-248.
 Liang, D. and D. Liu, Deriving three-way decisions from intuitionistic fuzzy decision-theoretic rough sets. Information Sciences, 2015. 300: p. 28-48.
Hashemkhani Zolfani, S., R. Maknoon, and E.K. Zavadskas, An introduction to prospective multiple attribute decision making (PMADM). Technological and Economic Development of Economy, 2016. 22(2): p. 309-326.