Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous design variables

Tsafarakis, Stelios; Saridakis, Charalampos; Baltas, George; Matsatsinis, Nikolaos F.

doi:10.1016/j.indmarman.2013.03.002

Cited by 39 publications

(16 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, restrictions of the sum of the shares in the market according to formula (5) are calculated as (Kohli and Sukumar, 1990;Tsafarakisetal, 2011;Tsafarakis et al, 2013):…”

Section: The Optimum Diversity Of Three Brands (Kallehmentioning

confidence: 99%

Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad)

Dadrasmoghadam¹,

Ghorbani²,

Karbasi³

et al. 2016

Industrial Engineering and Management Systems

View full text Add to dashboard Cite

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.

show abstract

“…Also, restrictions of the sum of the shares in the market according to formula (5) are calculated as (Kohli and Sukumar, 1990;Tsafarakisetal, 2011;Tsafarakis et al, 2013):…”

Section: The Optimum Diversity Of Three Brands (Kallehmentioning

confidence: 99%

Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad)

Dadrasmoghadam¹,

Ghorbani²,

Karbasi³

et al. 2016

Industrial Engineering and Management Systems

View full text Add to dashboard Cite

show abstract

“…In contrast, a firm using the k-strategy joins later when there are more numerous businesses. Thus, the development of a new population of businesses may be viewed as a series of waves, with additional businesses appearing with each successive wave (Tsafarakis, Saridakis, Baltas & Matsatsinis, 2013;Krishnan & Ulrich, 2001;Luo, 1998).…”

Section: Market Share and Brand Performancementioning

confidence: 99%

Effects of Brand Portfolio and Product Line Strategy on Brand Market Share: Evidence from Chinese Cellphone Market

Liu

2015

BMR

View full text Add to dashboard Cite

This paper investigates the effects of brand portfolio and product line strategy of cellphone brands' market share in China. Based on the 15-month data of Chinese cellphone markets, the authors conducted the empirical analysis using a two-way fixed effect model. The results show that foreign cellphone brands and Chinese local cellphone brands market share response differently to price level, product line level, and geographic level variables. Increasing segment coverage and widening product line enhances both foreign and local brands' market share. However, price-level factors have opposite influence on foreign and local brands in that price negatively relates to foreign brands' market share but positively relates to local brands' market share. Similarly, price concentration shows a negative impact on foreign brands but positive impact on local brands' market share. Finally, longer brand history positively relates to foreign brands' market share but negatively relates to local brands' market share. This research provides useful guidelines and managerial implications in the context of Chinese market.

show abstract

“…Conjoint analysis [14,15] and fuzzy multi-attribute decision techniques [16][17][18] have been introduced to describe consumers' preferences. Optimisation techniques, such as genetic algorithms [15], Lagrangian relaxation with a branch and bound algorithm [19], and particle swarm optimisation [20,21], which are all associated with preference measures, have been applied to determine the combination of product attributes that maximises a company's expected profit or the consumers' total utility.…”

Section: Related Researchmentioning

confidence: 99%

Product Attribute Design Using an Agent-Based Simulation of an Artificial Market

Kim¹,

Kim²

2014

Int. j. simul. model.

View full text Add to dashboard Cite

New product development is a high-risk decision-making problem in which similar products compete with each other to expand their market shares. Brand-level diffusion predictions can help product design managers to analyse how product attribute specifications impact total market shares, which can, in turn, aid managers in choosing the designs that yield maximum profits. In this paper, we develop a product attribute design method in which an artificial market consisting of consumer agents in an interaction network is created to simulate the diffusion process of products, and a genetic algorithm is integrated with the artificial market to support the product design decision-making process. The contribution of this research is that the predicted market response to product alternatives is incorporated into the product design optimisation. Two empirical experiments were conducted on the Korean laptop computer market to demonstrate the potential of this integrated method. Preliminary experiment showed that our prediction diffusion curves had an average error of 3.04 %. In the primary experiment, five designs were recommended, and a comparison with the 31 best-selling laptop computers resulted in an average error of less than 8 % when the "Price" attribute was excluded.

show abstract

Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous design variables

Cited by 39 publications

References 66 publications

Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad)

Determining the Optimum Brands Diversity of Cheese Using PSO (Case Study: Mashhad)

Effects of Brand Portfolio and Product Line Strategy on Brand Market Share: Evidence from Chinese Cellphone Market

Product Attribute Design Using an Agent-Based Simulation of an Artificial Market

Contact Info

Product

Resources

About