Title : ( Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad) )
Authors: amir dadrasmoghadam , Mohammad Ghorbani , Ali Reza Karbasi , Mohammad Reza Kohansal ,
Full TextAbstract
In the current study, factors affecting cheese brands products in grocery stores were evaluated with an emphasis on diversity. The sample data were collected from Noushad and Pegah Milk Industry in 2015 and data were extracted, reviewed, and analyzed from 435 grocery stores in Mashhad using seemingly unrelated regression model and particle swarm optimization algorithm. Results showed that optimum amount of Kalleh product diversity is higher than other competitors in the market, and Kalleh UF diversity is 100 to 250 grams, and Kalleh UF diversity with weight of 300 to 500 grams is more than other modes of diversity, and Kalleh brand must remove tin cheese from the market. Sabah Brand also should eliminate its glass and creamy diversity from market, UF diversity is mostly welcomed in market.
Keywords
, brand diversity, share brand, PSO algorithms, seemingly unrelated regression
@article{paperid:1059828,
author = {Dadrasmoghadam, Amir and Ghorbani, Mohammad and Karbasi, Ali Reza and Kohansal, Mohammad Reza},
title = {Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad)},
journal = {Industrial Engineering and Management Systems},
year = {2016},
volume = {15},
number = {4},
month = {December},
issn = {1598-7248},
pages = {318--323},
numpages = {5},
keywords = {brand diversity; share brand; PSO algorithms; seemingly unrelated regression},
}
%0 Journal Article
%T Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad)
%A Dadrasmoghadam, Amir
%A Ghorbani, Mohammad
%A Karbasi, Ali Reza
%A Kohansal, Mohammad Reza
%J Industrial Engineering and Management Systems
%@ 1598-7248
%D 2016
