Work

Integrated simulation–optimisation of pull control systems

Year: 2015

Type: article

Abstract: Pull policies are considered to be among the most efficient control strategy. Setting the correct parameters to maximise their efficiency is, however, not a trivial task. Simulation–optimisation techniques have received particular attention as a means to solve this problem. Nevertheless, they require the iterative solution of an optimisation model to generate the parameter values and a discrete event simulator to evaluate the resulting system performance. In the framework of simulation-optimisation, this paper proposes a combined solution of the optimisation and simulation problems for the optimal operation of pull control systems under several control strategies. Numerical experiments were performed to evaluate the performance of the proposed technique.

Source: International Journal of Production Research

DOI: 10.1080/00207543.2014.997404

Authors: Giulia Pedrielli, Arianna Alfieri, Andrea Matta

Institutions: National University of Singapore, Centre for Maritime Studies, Politecnico di Torino, Shanghai Jiao Tong University

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: National Natural Science Foundation of China, Singapore Maritime Institute