It is well recognized that software tools for strategic underground mine planning are lacking, and that the demand for these tools will increase as deeper deposits amenable to underground mining continue to grow in value. While a number of optimization techniques have been developed for stope layout design and progress continues to be made in the area of production scheduling, both of these min...

Process planning and production scheduling play important roles in manufacturing systems. In this paper a multiobjective mixed integer linear programming model is presented for the integrated planning and scheduling of multi-product. The aim is to find a set of high-quality trade-off solutions. This is a combinatorial optimization problem with substantially large solution space, suggesting that...

The purely propositional representation traditionally used to express AI planning problems is not adequate to express numeric variables when modeling real-world continuous resources. This paper presents a heuristic planning approach that uses a richer representation with capabilities for numeric variables, including durations of actions, and multiobjective optimisation. The approach consists of...

This paper presents a model for constrained multiobjective optimization of mixedcropping planning. The decision challenges that are normally faced by farmers include what to plant, when to plant, where to plant and how much to plant in order to yield maximum output. Consequently, the central objective of this work is to concurrently maximize net profit, maximize crop production and minimize pla...

This project is a follow up from a stockyard layout planning research conducted by the authors where simulation approach has been used to establish the best stock layout for the efficient storage, loading and dispatch of precast concrete products. It was concluded from the research that a more robust real-time management system should be in place to implement stockyard layout plans and assist p...

The vast majority of IC’s that go into production must reside on a Printed Circuit Board (PCB). Unfortunately, the design and layout of this PCB is often an afterthought and never considered in the planning of the chip itself. The result is a PCB that is very difficult to complete on a minimal number of layers and signal integrity is often compromised. This often creates a huge bottleneck in th...

Real-world problems generally involve several antagonistic objectives, like quality and cost for design problems, or makespan and cost for planning problems. The only approaches to multiobjective AI Planning rely on metrics, that can incorporate several objectives in some linear combinations, and metric sensitive planners, that are able to give different plans for different metrics, and hence t...