Mathematical Functions Approach: The Behavior Estimation of Data in Supply Chain Management

Abstract

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

Citation

Rostamkhani, R. and Ramayah, T. (2024), "Mathematical Functions Approach: The Behavior Estimation of Data in Supply Chain Management", The Integrated Application of Effective Approaches in Supply Chain Networks, Emerald Publishing Limited, Leeds, pp. 9-44. https://doi.org/10.1108/978-1-83549-630-520241004