A note on profit-maximization fuzzy EOQ models for deteriorating items with two dimensional sensitive demand

Author(s):  
M. Pattnaik
2011 ◽  
Vol 21 (01) ◽  
pp. 363-372
Author(s):  
EN-GUO GU

In this work, we build a two-dimensional dynamical fishery model in which the total harvest is obtained by a multiagent game with best reply strategy and naive expectations, i.e. each agent decides the harvest quantity by solving a profit maximization problem. Special attention is paid to the global dynamic analysis in the light of feasible domains (initial conditions giving non-negative trajectories converging to an equilibrium), which is related to the crisis of extinction. We also study the existence and stability of non-negative equilibria for models through mathematical analysis and numerical simulations. We discover the increase in the margin price of fish stock may lead to instability of the fixed point and make the system sink into chaotic attractors. Thus the fishery resource may fluctuate in a stochastic form.


2021 ◽  
Author(s):  
Suborna Paul

EOQ models for deteriorating items with two levels of market


2018 ◽  
Vol 117 ◽  
pp. 81-93 ◽  
Author(s):  
Valentín Pando ◽  
Luis A. San-José ◽  
Juan García-Laguna ◽  
Joaquín Sicilia

2021 ◽  
Author(s):  
Suborna Paul

EOQ models for deteriorating items with two levels of market


2010 ◽  
Vol 20 (1) ◽  
pp. 55-69 ◽  
Author(s):  
Chun-Tao Chang ◽  
Yi-Ju Chen ◽  
Tzong-Ru Tsai ◽  
Wu Shuo-Jye

This paper deals with the problem of determining the optimal selling price and order quantity simultaneously under EOQ model for deteriorating items. It is assumed that the demand rate depends not only on the on-display stock level but also the selling price per unit, as well as the amount of shelf/display space is limited. We formulate two types of mathematical models to manifest the extended EOQ models for maximizing profits and derive the algorithms to find the optimal solution. Numerical examples are presented to illustrate the models developed and sensitivity analysis is reported.


2000 ◽  
Vol 124 (3) ◽  
pp. 550-559 ◽  
Author(s):  
Kun-Jen Chung ◽  
Peter Chu ◽  
Shaw-Ping Lan

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