Modelling construction material logistics system with stochastic Petri nets

Abstract

Purpose

The purpose of this paper is to examine the potential of applying Petri nets to improve construction material logistics analysis and modelling.

Design/methodology/approach

The characteristics of construction logistics are unveiled by analysing the existing practices of logistics management. In views of the dynamic nature of construction logistics problem, a stochastic Petri nets (SPNs) approach is proposed to tackle the time‐evolution property. Using a simulation package called PetriTool™ a simulation model is developed. Finally, a case example is applied to illustrate the way in which SPNs is used for analysing and modelling construction material logistics problems.

Findings

The results indicate that the impacts triggered by variations in delivery lead‐time and changes in delivery quantities can be approximated thereby facilitating decision makers to devise a more reliable and optimal materials management plan for construction projects.

Research limitations/implications

The complex routing patterns in demand analysis and materials procurement methods that results in the enlarged supply chains have not been considered in this paper.

Practical implications

The lack of a simple but powerful formalism to analyse and model the decision process under a dynamic environment hinders the implementation of efficient logistics systems in the construction industry. The SPNs model presented in this paper can support planners and managers in making construction logistics management decisions under dynamic environment.

Originality/value

This paper demonstrates that the time‐based SPNs can offer more enriched solutions especially when modelling the time‐evolution behaviours of construction logistics.

Citation

Ng, S.T., Fang, Y. and Ugwu, O.O. (2008), "Modelling construction material logistics system with stochastic Petri nets", Construction Innovation, Vol. 8 No. 1, pp. 46-60. https://doi.org/10.1108/14714170810846512