Cooperative Control in Production and Logistics

Abstract

This is a milestone paper of the Coordinating Committee on Manufacturing and Logistics Systems (CC5) of the International Federation of Automatic Control (IFAC).Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities.The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modelling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive Control (RFMPC). Two case studies are also discussed: i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS); and ii) an application of distributed RFMPC to a drinking water distribution system.

Empirical Analysis of the Interaction Participants of Regional Transport and Logistics Systems

“…A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities [7].…”

Agent and Cyber-Physical System Based Self-Organizing and Self-Adaptive Intelligent Shopfloor

“…For example, also inspired by biological characteristics, Belle et al proposed the method for proactive coordination in logistic systems [39]. Monostori et al analyzed the collaborative control in production systems and introduced predictive method into this field [40].…”

Reducing the Bullwhip effect in a supply chain network by application of optimal control theory

“…Their study aimed to reduce the inventory level fluctuations by developing a SC state transition model along with a new inventory control method, but it did not consider the network nature of the SC. Monostori et al [44] overviewed the pros and cons of cooperative control approaches to production and logistics systems. They investigated six main challenging characteristics of complex systems and proposed two case studies to investigate the cooperative control approaches.…”