Some dynamic supply chain problems are instances of a class of distributed optimization problems that TÆMS and other intelligent agents were made to address. In this paper we define a discrete distributed dynamic supply chain management problem and specify how TÆMS agents, equipped with new coordination mechanisms, automate and manage the supply chain. The agents increase the level of flexibili...

Real-world manufacturing supply chain systems are characterised by imprecise and dynamic factors. As a result, decision-making takes place in a complex, dynamic and fuzzy environment in which managerial goals and the impacts of possible actions are not precisely known. In a demand driven manufacturing supply chain system, the presence of a fuzzy demand is a serious cause for concern. The presen...

Studies on supply chain complexity mainly use the static and dynamic complexity distinction. While static complexity describes the structure of the supply chain, the number and the variety of its components and strengths of interactions between these; the dynamic complexity represents the uncertainty in the supply chain and involves the aspects of time and randomness. This distinction is also v...

Supply Chain Operations Reference (SCOR) model is developed and maintained by the Supply Chain Council (SCC). The model is a reference model which can be utilized to map benchmark and improve the supply chain operations. SCOR model provides companies with a basic process modeling tool, an extensive benchmark database by defining a set of supply chain metrics. This paper explains the process and...

This paper presents a method for modeling the dynamic behavior of harbor supply chains and evaluating strategic and operational policies of the proposed harbor supply chain by applying multiagent systems and simulation. The multi-agent systems modeling represent business entities as agents and the involved information and material flows with proposed coordination method for collaborating among ...