DSOPP: a platform for distributed simulation of order promising protocols in supply chain networks

Abstract

This article presents an optimisation-based multi-agent decision support platform (DSOPP) for integrated order promising and production planning in a multi-enterprise supply network environment. The DSOPP platform may be run either in real time or in simulation mode. Its goal is to demonstrate the viability of collaborative decision making. The DSOPP framework is built around a scalable multi-period optimisation model that may be used across enterprises. We first discuss the optimisation model at the core of the planning function called the ‘advanced order planning’ model. We then present the DSOPP platform architecture, which consists of a distributed network control centre (DNCC) and individual supply chain control centres. Intelligent agents are embedded in both types of centres. The role of the DNCC is to coordinate the planning cycle clock and facilitate the transfer of information and inventory through a central mailbox mechanism. An individual supply chain centre comprises agents for demand management, planning and production execution. Results from an experimental case indicate that the ideas presented in this article can be used effectively to coordinate the planning activities across supply chain networks by providing the ability to analyse and understand the effects of various supply chain parameters.

Keywords:

• order promising
• supply chain management
• demand planning
• simulation
• networked enterprises
• multi-agent systems

Acknowledgements

This research was funded by the Natural Sciences and Engineering Council of Canada (NSERC) through the Discovery and Equipment grants programs awarded to Dr Uday Venkatadri. This support is gratefully acknowledged.