The introduction or modification of land use regulations and sustainability initiatives over the last few decades has arguably increased the complexity of forest planning processes. Given the planning goals of a land management organization, both spatial and temporal characteristics of desired future landscapes may now be important to recognize. In some cases of planning, wildfire plays an impo...

In the process industry, plant production is completely halted every so many years for large-scale maintenance comprising inspection, repair and overhaul. It paramount that this shutdown completed according to planning, which requires timely availability of replacement parts. setting, we present a spare parts optimization model algorithm includes cost-time trade-off precedence constraints betwe...

We consider the problem of resequencing a prearranged set of jobs on a moving assembly line with the objective of minimizing changeover costs. A changeover cost is incurred whenever two consecutive jobs do not share the same feature. Features are assigned from a set of job-specific feasible features. Resequencing is limited by the availability of offline buffers. The problem is motivated by a v...

Main goal of this contribution is a first approach to evaluate the suitability of visual programming languages, i.e., Pictorial Janus [3], for the modeling of complex systems and their control strategies. These systems can be seen as networks of communicating objects. Objects select strategies for suitable actions based on incoming messages. Our field of investigation is in computer integrated ...

In this paper, the advantages and performance of genetic programming in use of error recovery planning in robotic assembly systems is discussed. Existing systems use polynomial time planning techniques or heuristics to produce error recovery plans. However, these systems require translation of the generated plans to working controller codes. An alternative approach could be the use of Genetic P...

There are many factors which affect the performance of a complex production system. Efficiency of an assembly line is one of the most important of these factors since assembly lines are generally constructed as the last stage of an entire production system. Parallel two-sided assembly line system is a new research domain in academia though these lines have been utilised to produce large sized p...

Congestion management in electricity markets is traditionally done using deterministic values of power system parameters considering a fixed network configuration. In this paper, a stochastic programming framework is proposed for congestion management considering the power system uncertainties. The uncertainty sources that are modeled in the proposed stochastic framework consist of contingencie...

Range anxiety, the persistent worry about not having enough battery power to complete a trip, remains one of the major obstacles to widespread electric-vehicle adoption. As cities look to attract more users to adopt electric vehicles, the emergence of wireless in-motion car charging technology presents itself as a solution to range anxiety. For a limited budget, cities could face the decision p...

In this paper a process-oriented simulator for assembly lines is presented. The simulator considers mixed model lines, with stochastic task times, the possibility to have parallel stations, and to consider different scheduling sequences. The simulator is a flexible supporting tool in finding solution of the assembly line balancing problem (and the optimal sequencing problem associated to it) an...