Published June 15, 2024 | Version v1
Preprint Open

A proposal of analytical formulations to calculate safety lead times under demand variability. A case study

  • 1. Instituto Tecnológico y de Estudios Superiores de Monterrey, México
  • 2. Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), Alcoy, Alicante, Spain

Description

This paper deals with the issue of safety lead time (SLT) calculations in production-inventory systems in presence of both demand and replenishment lead time variability. We provide some formulations of the SLT and numerically show their performance as compared to a benchmark in the literature. Thus the main objective of this paper is to provide analytical formulations to calculate the SLT that contemplate demand variability. To this end, a literature review was done to analyze the approaches and justifications of the different revised research works to identify reference formulations according to the objectives of this work. A supply chain from the automotive sector was used as the study frame and to validate the proposed formulations. This supply chain involved two companies: a car manufacturer and a first-tier supplier. In order to compare the proposed formulations with one another, and with that currently used by the first-tier supplier and is the study object, three parameters were used: safety stock, the number of times stockout occurs and the mean stock. They allowed the final selection of the most suitable SLT formulation for each case study.

Notes

The research that has led to the present results has received funding from the MCIN/AEI/10.13039/501100011033 and by European Union Next GenerationEU/PRTR with grant agreement PDC2022-133957-I00

Files

A proposal of analytical formulations to calculate safety lead times under demand variability. A case study.pdf

Additional details

Funding

European Commission
i4Q - Industrial Data Services for Quality Control in Smart Manufacturing 958205
Consellería de Cultura, Educación, Formación Profesional e Universidades
i4OPT — Industrial Production and Logistics Optimization in Industry 4.0 (i4OPT) PROMETEO/2021/065