Effective control of large-scale enterprises requires a combination of long-range planning to identify appropriate strategies for meeting objectives and efficient scheduling of resources to ensure timely completion of tasks associated with those strategies. Given the highly dynamic operating environment of many enterprises, planning and scheduling must both be adaptive to unexpected events and ...

Planning and scheduling attracts an unceasing attention of computer science community. However, despite of similar character of both tasks, in most current systems planning and scheduling problems are solved independently using different methods. Recent development of Constraint Programming brings a new breeze to these areas. It allows using the same techniques for modelling planning and schedu...

aggregate production planning (app) is one of the most important issues carried out in manufacturing environments which seeks efficient planning, scheduling and coordination of all production activities that optimizes the company's objectives. in this paper, we develop a mixed integer linear programming (milp) model for an integrated aggregate production planning system with closed loop su...

In order to improve the bandwidth allocation considering feedback of operational environment, adaptable bandwidth planning based on reinforcement learning is proposed. The approach is based on new constrained scheduling algorithms controlled by reinforcement learning techniques. Different constrained scheduling algorithms,, such as “conflict free scheduling with minimum duration”, “partial disp...

This paper summarizes the main existing approaches to propagate resource constraints in Constraint-Based scheduling and identifies some of their limitations for using them in an integrated planning and scheduling framework. We then describe two new algorithms to propagate resource constraints on discrete resources and reservoirs. Unlike most of the classical work in scheduling, our algorithms f...

Planware is an integrated development environment for the domain of complex planning and scheduling systems. Its design and implementation aim at supporting the entire planning and scheduling process including domain analysis and knowledge acquisition; application development and testing; and mixed-initiative, human-in-the-loop, plan and schedule computation. Based on principles of automatic so...

The conventional wisdom and practice is that planning and scheduling tasks are solved separately using different methods and approaches. However, recent development in industrial planning and scheduling demands for mixing both tasks to allow modelling of wider class of problems. The purpose of this paper is to present a framework for mixing planning and scheduling tasks within single system. We...