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Dorostkar-Ahmadi, Nahid, Shafiei Nikabadi, Mohsen. (1397). A nonlinear multi objective model for the product portfolio optimization: An integer programming. نشریه هنرهای کاربردی, 9(2), 231-239. doi: 10.22075/ijnaa.2018.13447.1695
Nahid Dorostkar-Ahmadi; Mohsen Shafiei Nikabadi. "A nonlinear multi objective model for the product portfolio optimization: An integer programming". نشریه هنرهای کاربردی, 9, 2, 1397, 231-239. doi: 10.22075/ijnaa.2018.13447.1695
Dorostkar-Ahmadi, Nahid, Shafiei Nikabadi, Mohsen. (1397). 'A nonlinear multi objective model for the product portfolio optimization: An integer programming', نشریه هنرهای کاربردی, 9(2), pp. 231-239. doi: 10.22075/ijnaa.2018.13447.1695
Dorostkar-Ahmadi, Nahid, Shafiei Nikabadi, Mohsen. A nonlinear multi objective model for the product portfolio optimization: An integer programming. نشریه هنرهای کاربردی, 1397; 9(2): 231-239. doi: 10.22075/ijnaa.2018.13447.1695

A nonlinear multi objective model for the product portfolio optimization: An integer programming

International Journal of Nonlinear Analysis and Applications
مقاله 20، دوره 9، شماره 2، اسفند 2018، صفحه 231-239    اصل مقاله (303.42 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2018.13447.1695
نویسندگان
Nahid Dorostkar-Ahmadi1؛ Mohsen Shafiei Nikabadi* 2
1Department of industrial management, faculty of economy, management and official science, Semnan university, Iran
2Industrial Management Department Economics and Management Faculty Semnan University
تاریخ دریافت: 28 آذر 1396،  تاریخ بازنگری: 09 خرداد 1397،  تاریخ پذیرش: 14 خرداد 1397 
چکیده
Optimization of the product portfolio has been recognized as a critical problem in industry, management, economy and so on. It aims at the selection of an optimal mix of the products to offer in the target market. As a probability function, reliability is an essential objective of the problem which linear models often fail to evaluate it. Here, we develop a multiobjective integer nonlinear constraint model for the problem. Our model provides opportunities to consider the knowledge transferring cost and the environmental effects, as nowadays important concerns of the world, in addition to the classical factors operational cost and reliability. Also, the model is designed in a way to simultaneously optimize the input materials and the products. Although being to some extent complicated, the model can be efficiently solved by the metaheuristic algorithms. Finally, we make some numerical experiments on a simulated test problem.
کلیدواژه‌ها
Product portfolio optimization؛ nonlinear programming؛ multiobjective optimization؛ Reliability؛ metaheuristic algorithm
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