Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria

17 Páginas

Detalles Bibliográficos
Autores Principales: González Neira, Eliana María, García Cáceres, Rafael Guillermo, Caballero Villalobos, Juan Pablo, Molina Sánchez, Lina Paola, Montoya Torres, Jairo Rafael
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Computers & Industrial Engineering 2018
Materias:
Acceso en línea:http://hdl.handle.net/10818/33144
id ir-10818-33144
recordtype dspace
spelling ir-10818-331442018-10-27T19:42:42Z Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria González Neira, Eliana María García Cáceres, Rafael Guillermo Caballero Villalobos, Juan Pablo Molina Sánchez, Lina Paola Montoya Torres, Jairo Rafael Stochastic flexible flow shop Qualitative criteria Total weighted tardiness Job priority GRASP Integral analysis method – IAM 17 Páginas This paper addresses a bi-criteria stochastic flexible flow shop (SFFS) scheduling problem in which one criterion is quantitative and the other is qualitative. The quantitative criterion is the total weighted tardiness and the qualitative criterion is the importance of the customer for the company. To solve this problem, the integral analysis method (IAM), which consists of four stages (description of the problem, cardinal analysis, ordinal analysis and integration analysis), was used. The cardinal analysis implements both a mixed integral linear programming (MILP) model and a simulation-optimization approach for the total weighted tardiness solution. The ordinal analysis is performed by stochastic multicriteria acceptability analysis with ordinal data (SMAA-O) in which each alternative is qualified depending on customer importance. Finally, to address the integral analysis, deterministic SMAA is applied to select those alternatives that exhibited the best integral characteristics in terms of minimizing tardiness penalty costs and timely fulfillment of due dates according to customer strategic importance for the company. Results show that IAM enables selection of the alternatives that accomplish in the best way both types of criteria. 2018-06-13T16:22:43Z 2018-06-13T16:22:43Z 2016 article publishedVersion González Neira, E., Caballero Villalobos, J., García Caceres, R., Molina Sanchez, L., & Montoya Torres, J. (2016). Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria. Computers & Industrial Engineering, 101 (NA), 128 - 144. https://www.sciencedirect.com/science/article/pii/S0360835216303308?via%3Dihub http://hdl.handle.net/10818/33144 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ openAccess text/plain Reino Unido Computers & Industrial Engineering Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana
institution Universidad de La Sabana
collection DSpace
language Inglés (English)
topic Stochastic flexible flow shop
Qualitative criteria
Total weighted tardiness
Job priority
GRASP
Integral analysis method – IAM
spellingShingle Stochastic flexible flow shop
Qualitative criteria
Total weighted tardiness
Job priority
GRASP
Integral analysis method – IAM
González Neira, Eliana María
García Cáceres, Rafael Guillermo
Caballero Villalobos, Juan Pablo
Molina Sánchez, Lina Paola
Montoya Torres, Jairo Rafael
Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
description 17 Páginas
format Artículo (Article)
author González Neira, Eliana María
García Cáceres, Rafael Guillermo
Caballero Villalobos, Juan Pablo
Molina Sánchez, Lina Paola
Montoya Torres, Jairo Rafael
author_facet González Neira, Eliana María
García Cáceres, Rafael Guillermo
Caballero Villalobos, Juan Pablo
Molina Sánchez, Lina Paola
Montoya Torres, Jairo Rafael
author_sort González Neira, Eliana María
title Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
title_short Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
title_full Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
title_fullStr Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
title_full_unstemmed Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
title_sort stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria
publisher Computers & Industrial Engineering
publishDate 2018
url http://hdl.handle.net/10818/33144
_version_ 1679479928791236608
score 12,131701