Assessing manufacturing flow lines under uncertainties in processing time: An application based on max-plus equations, multicriteria decisions, and global sensitivity analysis
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Authors
Rocco, Claudio M.
Hernandez-Perdomo, Elvis
Mun, Johnathan
Subjects
Advisors
Date of Issue
2021
Date
Publisher
Elsevier
Language
Abstract
In this paper, a novel application on how uncertainties in a manufacturing flow line − MFL (e.g., times required to perform an action) could be analyzed and what the benefits are of such analysis. The approach proposed investigates three main goals: i) Uncertainty analysis, ii) Stochastic dominance, and iii) Sensitivity analysis. In particular, this paper extends the application of max-plus algebra to model MFL with different flow configura- tions and buffer capacities and provides the approximated probability density functions (PDFs) of selected performance indicators (e.g., the total idle time in the whole line, output rates, throughputs, among others). As a result, it is possible to quantify the variability of the selected output, compare different possible configurations among MFL, choose the best one, and identify critical variables and risk drivers (e.g., the processing times that affect the most a KPI − key performance indicator). The approach, illustrated by analyzing a case study of the literature, emphasizes the benefits for a decision-maker in charge of the design or managing of the manufacturing system.
Type
Article
Description
17 USC 105 interim-entered record; under temporary embargo.
Series/Report No
Department
Organization
Naval Postgraduate School (U.S.)
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NPS Report Number
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Funder
U.S. Government affiliation is unstated in article text.
Format
12 p.
Citation
Rocco, Claudio M., Elvis Hernandez-Perdomo, and Johnathan Mun. "Assessing manufacturing flow lines under uncertainties in processing time: An application based on max-plus equations, multicriteria decisions, and global sensitivity analysis." International Journal of Production Economics 234 (2021): 108070.