This paper presents a multicriteria analysis of the process flexibility in the context of the lot sizing problem with parallel machines. In the standard design for lot sizing problems, each machine can manufacture all products (total or complete flexibility). However, installing machines with complete flexibility for several practical applications can be costly. Therefore, it becomes interesting to implement only a limited amount of machine flexibility, where each machine can produce only a small number of different products. Recently, some works presented analyses of process flexibility by considering only the production cost as a criterion. However, the literature lacks a more comprehensive analysis that considers other essential criteria regarding the problem to compute the value of a flexibility configuration. Thus, we provide a detailed multicriteria analysis based on the TOPSIS method that produces a ranking of alternatives for the flexibility configurations. Extensive computational experiments and sensitivity analyses for different scenarios of the lot sizing problem compare individual flexibility configurations and evaluate its advantages in manufacturing planning. The computational results showed that limited flexibility configurations outperform the total flexibility in all scenarios. Moreover, different from the studies considering only the total cost as the criterion, investing in flexibility for all capacity levels has advantages.
Keywords: Lot sizing problems, process flexibility, multicriteria analysis, TOPSIS method
@article{RO_2022__56_4_3187_0,
author = {de Souza Amaro, Gabriel and Fiorotto, Diego Jacinto and Alves de Oliveira, Washington and Tomazeli, Leonardo Duarte},
title = {Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making},
journal = {RAIRO. Operations Research},
pages = {3187--3217},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {4},
doi = {10.1051/ro/2022139},
mrnumber = {4475691},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022139/}
}
TY - JOUR AU - de Souza Amaro, Gabriel AU - Fiorotto, Diego Jacinto AU - Alves de Oliveira, Washington AU - Tomazeli, Leonardo Duarte TI - Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making JO - RAIRO. Operations Research PY - 2022 SP - 3187 EP - 3217 VL - 56 IS - 4 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022139/ DO - 10.1051/ro/2022139 LA - en ID - RO_2022__56_4_3187_0 ER -
%0 Journal Article %A de Souza Amaro, Gabriel %A Fiorotto, Diego Jacinto %A Alves de Oliveira, Washington %A Tomazeli, Leonardo Duarte %T Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making %J RAIRO. Operations Research %D 2022 %P 3187-3217 %V 56 %N 4 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022139/ %R 10.1051/ro/2022139 %G en %F RO_2022__56_4_3187_0
de Souza Amaro, Gabriel; Fiorotto, Diego Jacinto; Alves de Oliveira, Washington; Tomazeli, Leonardo Duarte. Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making. RAIRO. Operations Research, Tome 56 (2022) no. 4, pp. 3187-3217. doi: 10.1051/ro/2022139
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