کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8053023 | 1519421 | 2013 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A robust model for a leader-follower competitive facility location problem in a discrete space
ترجمه فارسی عنوان
یک مدل قوی برای یک مسئله موقعیت مکانی رقابتی با رهبر و دنبال کننده در یک فضای گسسته
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کلمات کلیدی
موقعیت رقابتی، پیرو رهبر بهینه سازی قوی، موقعیت بالقوه،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
چکیده انگلیسی
This paper aims at determining the optimal locations for the leader's new facilities under the condition that the number of the follower's new facilities is unknown for the leader. The leader and the follower have some facilities in advance. The first competitor, the leader, opens p new facilities in order to increase her own market share. On the other hand, she knows that her competitor, the follower, will react to her action and locate his new facilities as well. The number of the follower's new facilities is unknown for the leader but it is assumed that the leader knows the probability of opening different numbers of the follower's new facilities. The leader aims at maximizing her own market share after the follower's new facilities entry. The follower's objective is also to maximize his own market share. Since the number of the follower's new facilities is unknown for leader, “Robust Optimization” is used for maximizing the leader's market share and making the obtained results “robust” in various scenarios in terms of different numbers of the follower's new facilities. The optimal locations for new facilities of both the leader and the follower are chosen among pre-determined potential locations. It is assumed that the demand is inelastic. The customers probabilistically meet their demands from all different facilities and the demand level which is met by each facility is computed by Huff rule. The computational experiments have been applied to evaluate the efficiency of the proposed model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 37, Issues 1â2, January 2013, Pages 62-71
Journal: Applied Mathematical Modelling - Volume 37, Issues 1â2, January 2013, Pages 62-71
نویسندگان
Milad Gorji Ashtiani, Ahmad Makui, Reza Ramezanian,