Multi-Objective Flexible Job Shop Scheduling Optimization Models (II)

For the Multi-Objective Flexible Job Shop Scheduling Problems (MOFJSSP), various optimization models have been designed. In the first part of the research (published in no. 2/2012) we presented the multi-sort production systems, the theoretical aspects of MOFJSSP framework, a specific real JSS process in drugs industry based on over 600 tasks to be optimally scheduled (used as a case study for the optimization models) and two conventional optimization models: waiting systems and STRIPS language (an example of logical formulation for scheduling problems). In the current part of the research, other suited models are described, both conventional and non-conventional: Petri nets, general decision models, Markov processes, Monte Carlo simulation and some procedural models (neural networks, expert systems and fuzzy techniques). Other well-known and wide-applied procedural models (namely agent-based models and genetic algorithms) are to be described in the forthcoming part of the research.