دانلود رایگان مقاله انگلیسی کنترل بهینه از پویایی مشتری بر اساس سیاست بازاریابی - الزویر 2018

عنوان فارسی
کنترل بهینه از پویایی مشتری بر اساس سیاست بازاریابی
عنوان انگلیسی
Optimal control of the customer dynamics based on marketing policy
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
14
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E8351
رشته های مرتبط با این مقاله
مدیریت
گرایش های مرتبط با این مقاله
بازاریابی، مدیریت منابع انسانی
مجله
ریاضی کاربردی و محاسبات - Applied Mathematics and Computation
دانشگاه
Departamento de Matemática and Instituto de Telecomunicações - Universidade da Beira Interior - Portugal
کلمات کلیدی
مدل تقسیمی، کنترل بهینه، بازاریابی
چکیده

abstract


We consider an optimal control problem for a non-autonomous model of ODEs that describes the evolution of the number of customers in some firm. Namely we study the best marketing strategy. Considering a L2 cost functional, we establish the existence and uniqueness of optimal solutions, using an inductive argument to obtain uniqueness on the whole interval from local uniqueness. We also present some simulation results, based on our model, and compare them with results we obtain for an L1 cost functional. For the L1 cost functional the optimal solutions are of bang-bang type and thus easier to implement, because at every moment possible actions are chosen from a finite set of possibilities. For the autonomous case of L2 problem, we show the effectiveness of the optimal control strategy against other formulations of the problem with simpler controls.

نتیجه گیری

7. Conclusions


In this paper we have considered an optimal control problem for a nonlinear system of ordinary differential equations that describes the evolution of the number of regular customers and referral customers in some firm. The aim is to study, considering several types of behaviour for the population, the best marketing strategy in the decision to invest in referrals programs. The existence and uniqueness of optimal solutions was established for an L2 cost functional model. Some simulation results of such model were presented and compared with the ones obtained for the model with an L1 cost functional. The optimal solutions for the problem with linear lagrangian are of bang-bang type. While performing the numerical simulations, we have noticed that, for some values of the cost weights κ1, κ2 and κ3, the solutions for the quadratic objective model are slightly better than the ones for the linear objective model. Nevertheless, the strategy obtained for the linear objective model is easier to implement, since at each time interval the possible actions are taken from a finite set of possibilities, and thus may be more appealing to the marketing managers. For the autonomous case of quadratic cost functional model, we have shown the effectiveness of the optimal control strategy over the constant control strategy, a heuristic control strategy and the no control.


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