Quantitative Analysis of Manufacturing Flexibility and Inventory Management: Impact on Total Flow Time in Production System

Improving responsiveness and efficiency in production systems requires an understanding of how manufacturing flexibility and inventory management interact under conditions of uncertainty. This study examines the combined effect of four types of flexibility, machine, labor, routing, and volume, together with the use of buffers, on the total flow time of production batches. A total of 84 experimental configurations were simulated, of which 35 were feasible and statistically valid, using a discrete-event simulation model developed in Arena and validated with industrial data. The results show that combining high machine and labor flexibility reduces total flow time from 5450 to 3050 min (a 44% decrease), whereas routing and volume flexibility exhibit minor effects. Moreover, the inclusion of buffers further improves performance, reducing times by approximately 1000 min in low-flexibility configurations. These findings provide robust quantitative evidence to guide the design of adaptive production systems by jointly evaluating the flexibility and inventory management dimensions that are typically studied in isolation.

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Journal
Mathematics
Published
2026-01-05
DOI
https://doi.org/10.3390/math14010202
Primary Topic
Scheduling and Optimization Algorithms
Type
article
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article

Quantitative Analysis of Manufacturing Flexibility and Inventory Management: Impact on Total Flow Time in Production System

Germán Moncada, Luis M. Riquelme Quezada, Guillermo Fuertes, Pedro Palominos
Mathematics
Scheduling and Optimization Algorithms
article

Quantitative Analysis of Manufacturing Flexibility and Inventory Management: Impact on Total Flow Time in Production System

Germán Moncada, Luis M. Riquelme Quezada, Guillermo Fuertes, Pedro Palominos
article en

Abstract

Improving responsiveness and efficiency in production systems requires an understanding of how manufacturing flexibility and inventory management interact under conditions of uncertainty. This study examines the combined effect of four types of flexibility, machine, labor, routing, and volume, together with the use of buffers, on the total flow time of production batches. A total of 84 experimental configurations were simulated, of which 35 were feasible and statistically valid, using a discrete-event simulation model developed in Arena and validated with industrial data. The results show that combining high machine and labor flexibility reduces total flow time from 5450 to 3050 min (a 44% decrease), whereas routing and volume flexibility exhibit minor effects. Moreover, the inclusion of buffers further improves performance, reducing times by approximately 1000 min in low-flexibility configurations. These findings provide robust quantitative evidence to guide the design of adaptive production systems by jointly evaluating the flexibility and inventory management dimensions that are typically studied in isolation.

MathematicsVol. 14(1)
Universidad de Santiago de Chile (CL), Universidad Bernardo O'Higgins (CL)
Decent work and economic growth
Openalex Percentile: Top 97%
Scheduling and Optimization Algorithms
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