In most current APS (Advanced Planning and Scheduling) systems the planning and scheduling tasks are handled separately using different methods and technology from the areas like Artificial Intelligence and Operations Research. Recently, Constraint Programming becomes a roof over several solving technologies that allow us to solve both planning and scheduling tasks within single declarative fra...

The Last Planner system (LPS) is used on construction projects to improve the reliability of production planning. A significant process of the LPS is Lookahead planning where activities are broken down into the level of operations, constraints are identified, responsibilities are assigned, and assignments are made ready. The success of Lookahead planning depends on task anticipation, which is a...

Learning can be viewed as a problem of planning a series of modiications to memory. We adopt this view of learning and propose the applicability of the case-based planning methodology to the task of planning to learn. We argue that relatively simple, ne-grained primitive inferential operators are needed to support exible planning. We show that it is possible to obtain the beneets of case-based ...

by studying the evolution history of budgeting systems, you may discern three stages: in the first stage, controlling role of budget is regarded its major function. in the second stage, budget is considered as a means for management improvement. in the third stage, the role of budget is considered in economic planning, implementation of programs and government performance management. after worl...

In process planning, how to obtain an optimal process planning is the essential of computer-aided process planning (CAPP) system. The main goal of CAPP system is to derive manufacturing features and machining operations from a design model and sequence the machining operations of the part in a feasible (by some technological constraints) and effective (by some economical standards) order. In th...

Uncertainty appears in all the different levels of the industry from the detailed process description to multisite manufacturing. The successful utilization of process models relies heavily on the ability to handle system variability. Thus modeling and managing uncertainty in process planning and scheduling has received a lot of attention in the open literature in recent years from chemical eng...

Scheduling of crude oil operations is an important and complex routine task in a refinery. It involves crude oil unloading, tank allocation, storage and blending of crudes, and CDU charging. Optimal crude oil scheduling can increase profits by exploiting cheaper but poor quality crudes, minimizing crude changeovers, avoiding ship demurrage, and managing crude inventory optimally. In our previou...

disasters can cause many casualties and considerable destruction mainly because of ineffective preventive measures, incomplete preparedness, and weak relief logistics systems. after catastrophic events happen, quick and effective response is of great importance, so as to having an efficient logistic plan for distributing needed relief commodities efficiently and fairly among affected people. in...

Effective and detailed planning of large-scale, complex construction projects is of great importance to fulfilling project cost and time objectives. At Tsinghua University of China and The Hong Kong Polytechnic University, the four dimensional-computer aided design (4D construction operations simulation methodology have been researched for years respectively, resulting in innovative, in constru...

UTOMATED PLANNING AND scheduling technology-we’ll call it automated planning systems, for the sake of brevity-is applicable to a wide spectrum of spaceflight missions, from those with limited onboard computational capabilities, such as Lunar Prospector, to those with highly sophisticated software, such as Cassini In all cases, the goal is for the rmssion scientist to command the spacecraft dire...