Dynamic Reconfiguration is the process of changing a component-based system with minimum disruption and maximum automation. This process consists of three phases i.e. sensing the present state, planning for a new state and acting on the system to move it to the new state. Although, there are techniques and models for the sensing and acting phases, planning is a relatively neglected phase in thi...

Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks. It is assumed that the activity durations are independent random variables with exponential distributions, but some social and economical problems influence the mean of activity durations. It is also assumed that the social problems evolve in ac...

Dynamic Reconfiguration is the process of changing a component-based system with minimum disruption and maximum automation. This process consists of three phases i.e. sensing the present state, planning for a new state and acting on the system to move it to the new state. Although, there are techniques and models for the sensing and acting phases, planning is a relatively neglected phase in thi...

As planning problems become more complex, it is increasingly useful to integrate complex constraints on time and resources into planning models, and use constraint reasoning approaches to help solve the resulting problems. Dynamic constraint satisfaction is a key enabler of automated planning in the presence of such constraints. In this paper, we identify some limitations with the previously de...

The development of a dynamic game model for planning a double and duplication of supervision based on the indeterminate appointment probability and order of supervisors on the grounds of the current causes of planning and supervision collusion in real estate land is presented in this paper and the question how to separate the planning from supervision availably is analyzed. The dynamic game is ...

Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...

Companies and firms, nowadays, due to mounting competition and product diversity, seek to apply virtual cellular manufacturing systems to reduce production costs and improve quality of the products. In addition, as a result of rapid advancement of technology and the reduction of product life cycle, production systems have turned towards dynamic production environments. Dynamic cellular manufact...

Based on environmental awareness and effective path planning algorithm, effective robot path planning can be achieved. In this paper, the Kinect sensor, the latest vision sensing technology, is used to perceive the obstacles and terrain information in dynamic environment in real-time, which enables robots to realize effective path planning tasks in complex dynamic environment. Using the real-im...

Although feature-based computer-aided process planning plays a vital role in automating and integrating design and manufacturing for ef®cient production, its off-line properties prohibit the shop ̄oor controllers from rapidly coping with unexpected production errors. The objective of the paper is to suggest a neural network-based dynamic planning model, by which the shop ̄oor controllers determin...