Title:
Analyzing distribution quality management performance using simulation and design of experiments
Authors:
- Juan M. Cogollo
- Alexander A. Correa-Espinal
Published in:
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
DOI:
https://doi.org/10.7148/2023-0040
Citation format:
Juan m. cogollo, Alexander a. correa-espinal (2023). Analyzing Distribution Quality Management Performance using Simulation and Design of Experiments, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0040
Abstract:
Distribution quality management performance in supply chains is a key issue for overall performance and competitiveness. This paper proposes a methodology for analyzing distribution quality management performance using simulation and design of experiments (DOE). This methodology has four steps: (i) Selection of variables, (ii) Determination of factors and levels, (iii) Performing the experimental simulation and (iv) Analysis of the results. The joint application of simulation and DOE allowed analyzing the effects of the independent variables on the distribution quality management performance. It was also possible to sort the independent variables according to the degree of impact on the response variable.
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