Model predictive control applied to a supply chain management problem

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Pinho, TM (Author) Other; Coelho, JP (Author) Other; António Paulo Moreira (Author) FEUP; Boaventura Cunha, J (Author) Other

Conference proceedings International

Title: Lecture Notes in Electrical Engineering

Pages: 167-177

12th Portuguese Conference on Automatic Control, CONTROLO 2016

14 September 2017 through 16 September 2017

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: P-00K-WG0

DOI: 10.1007/978-3-319-43671-5_15

Abstract (EN): Supply chains are ubiquitous in any commercial delivery systems. The exchange of goods and services, from different supply points to distinct destinations scattered along a given geographical area, requires the management of stocks and vehicles fleets in order to minimize costs while maintaining good quality services. Even if the operating conditions remain constant over a given time horizon, managing a supply chain is a very complex task. Its complexity increases exponentially with both the number of network nodes and the dynamical operational changes. Moreover, the management system must be adaptive in order to easily cope with several disturbances such as machinery and vehicles breakdowns or changes in demand. This work proposes the use of a model predictive control paradigm in order to tackle the above referred issues. The obtained simulation results suggest that this strategy promotes an easy tasks rescheduling in case of disturbances or anticipated changes in operating conditions. © Springer International Publishing Switzerland 2017.

Language: English

Type (Professor's evaluation): Scientific