A multi-paradigm simulator for simulating complex adaptive supply chain networks

A message-driving formalism for modeling and simulation of multi-agent supply chain systems

“…The sum of agents' actions they perform and interactions they have with each other is a natural representation of how the J Syst Sci Syst Eng 389 supply chain as a whole acts. To keep this natural representation, a few papers ( e.g., Pathak et al 2003, Chatfield et al 2007) have discussed using multi-formalism architecture for multi-agent supply chain simulation. But this approach is still using the sequential way, which cannot improve the simulation efficiency.…”

Modeling and simulation of supply network evolution based on complex adaptive system and fitness landscape

“…Like any CAS, some combination of control theoretic, agent-based, and discrete-event modeling approaches might be applied to study the evolution of SNs (Choi et al, 2001). Pathak and David (2002), Pathak, David, and Gautam (2003), Pathak et al (2007a) developed a multi-paradigm dynamic system simulator based on CAS and showed that certain environmental and firm-level factors might impact the evolution of SN structures. As to the empirical methods, only a few studies viewed the SNs as CAS and proposed some arguments for the understanding of the structure and operations of SNs (Carbonara, Giannoccaro, & Pontrandolfo, 2002;Choi & Hong, 2002).…”

“…A combination of approaches is necessary to adequately explore difficult issues such as nonlinearities, cyclical feedback mechanisms, emergence, and path dependencies (Pathak et al, 2007b). Based on Choi et al's propositions (2001) that internal mechanisms, the environment, and co-evolution are the three key foci for SN research, this paper proposes a dynamic evolution model of SNs based on CAS and fitness landscape theory and simulates the model using multi-agent technology (Pathak & David, 2002;Pathak et al, 2003). The simulation results disclose the general principles and salient factors that dominate the formation, adaptation and evolution of SNs.…”

“…on firms' behavior and the evolution of SNs. This model can better map the dynamic behavior of an SN and the firms from the evolutionary aspects than the models of Pathak and David (2002), Pathak et al (2003).…”

Tradeoffs in building a generic supply chain simulation capability

“…Chen et al (1999) describe a webaccessible version of the IBM's supply chain analyzer that includes industry specific template models to assist the user. Pathak, Dilts, and Biswas (2003) use an agent-based implementation using Madkit, a Java-based agent platform to develop the interactive supply chain simulator CAESAR (Complex Adaptive Supply Chain Simulator). The simulator analyzes the growth of supply chains.…”