Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives

2017 ◽  
Vol 50 (6) ◽  
pp. 982-995
Author(s):  
Jonathan Oesterle ◽  
Amodeo Lionel
Keyword(s):  
Product Design ◽  
Design Problem ◽  
Assembly Line ◽  
Design Alternatives ◽  
Line Design

A Collaborative Model for Connecting Product Design and Assembly Line Design: An Aeronautical Case

2021 ◽  
pp. 267-280
Author(s):  
Alex Aquieta Nuñez ◽  
Anouck Chan ◽  
Alberto Donoso-Arciniega ◽  
Thomas Polacsek ◽  
Stéphanie Roussel
Keyword(s):  
Product Design ◽  
Assembly Line ◽  
Collaborative Model ◽  
Line Design

scholarly journals A bibliometric analysis of the product line design problem

2021 ◽  
Vol 21 (1) ◽  
pp. 11-33
Author(s):  
Alma Montserrat Romero-Serrano ◽  
Omar Ahumada-Valenzuela ◽  
Juan Carlos Leyva-Lopez ◽  
Marlenne Gisela Velazquez-Cazares
Keyword(s):  
Genetic Algorithms ◽  
Product Design ◽  
Bibliometric Analysis ◽  
Design Problem ◽  
Optimal Solution ◽  
Search Space ◽  
Research Field ◽  
Product Line ◽  
Productive Author ◽  
Line Design

In the product design problem, firms aim to find suitable configurations of product attributes with the objective of increasing their participation in the marketplace. This problem belongs to the field of quantitative marketing and is considered a NP-Hard problem, due to its wide search space for an optimal solution. Among the related literature, there are different methodologies to address this problem, gaining ground those that apply metaheuristics, with an emphasis in Genetic Algorithms. The main aim of this work is to present an overview of the most significant contributions in this area using a bibliometric analysis approach. The paper uses Scopus database and Web of Science Core Collection, in order to obtain leading and the most influential articles, conferences papers, journals, authors, institutions and countries. The results highlight Kwong, C.K. as the most productive author while Nagamachi M. is the most influential author. Furthermore, China is the leading country in this research field. The use of Genetic Algorithms in the solutions of the Product Design Problem is a growing area of study with important development of methodologies and approaches.  JEL Codes: C00, C02 Received: 07/10/2020.  Accepted: 20/02/2021.  Published: 01/06/2021. 

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