TY - GEN
T1 - Internal Logistics Optimization Based on a Multi-objective Linear Model for Micro, Small, and Medium Textile Enterprises
AU - Torres Torres, Christian
AU - Toledo, María Belén
AU - Llivisaca, Juan Carlos
AU - Peña, Mario
AU - Siguenza-Guzman, Lorena
AU - Veintimilla-Reyes, Jaime
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Daily, textile companies seek to increase production levels through available resources and improve their profit projections over time. Therefore, it is essential to manage the products to be manufactured based on their raw materials resources and time availability. This work proposes improving decision-making in textile production planning by applying a multi-objective linear optimization model to internal logistics within micro, small, and medium-sized enterprises (MSMEs) of the Ecuadorian textile sector. The application of this optimization model results in a balanced production plan between the objectives related to profit maximization and the use of the time available for production. This article includes the description of the studied case, the definition of the optimization model executed by using the Gurobi solver, the results of the application of the optimization model with the data provided by a case study, and the discussion of the results through a sensitivity analysis.
AB - Daily, textile companies seek to increase production levels through available resources and improve their profit projections over time. Therefore, it is essential to manage the products to be manufactured based on their raw materials resources and time availability. This work proposes improving decision-making in textile production planning by applying a multi-objective linear optimization model to internal logistics within micro, small, and medium-sized enterprises (MSMEs) of the Ecuadorian textile sector. The application of this optimization model results in a balanced production plan between the objectives related to profit maximization and the use of the time available for production. This article includes the description of the studied case, the definition of the optimization model executed by using the Gurobi solver, the results of the application of the optimization model with the data provided by a case study, and the discussion of the results through a sensitivity analysis.
KW - Decision making
KW - Internal logistics
KW - Multi-objective optimization
KW - Textile sector
KW - Decision making
KW - Internal logistics
KW - Multi-objective optimization
KW - Textile sector
UR - https://www.scopus.com/pages/publications/85128491441
U2 - 10.1007/978-3-031-03884-6_16
DO - 10.1007/978-3-031-03884-6_16
M3 - Contribución a la conferencia
AN - SCOPUS:85128491441
SN - 9783031038839
T3 - Communications in Computer and Information Science
SP - 214
EP - 228
BT - Applied Technologies - 3rd International Conference, ICAT 2021, Proceedings
A2 - Botto-Tobar, Miguel
A2 - Montes León, Sergio
A2 - Torres-Carrión, Pablo
A2 - Zambrano Vizuete, Marcelo
A2 - Durakovic, Benjamin
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Applied Technologies, ICAT 2021
Y2 - 27 October 2021 through 29 October 2021
ER -