Open-Pit Production Scheduling (OPPS) problem focuses on determining a block sequencing and scheduling to maximize Net Present Value (NPV) of the venture under constraints. The scheduling model is critically sensitive to the economic value volatility of block, block weight, and operational capacity. In order to deal with the OPPS uncertainties, various approaches can be recommended. Robust opti...

To enable a quadrotor to navigate autonomously, a set of interdependent requirements must be addressed, including control, state estimation, map learning, and mission planning. Autonomous navigation requires stabilization of the vehicle. To stabilize the vehicle, the state of the vehicle must be known. In GPS-denied environments, state estimation is calculated using simultaneous localization an...

Almost all large, and the majority of small and medium-sized enterprises (SMEs) run MRP / ERP systems. However, many are not satisfied with their system. This paper investigates the reasons for dissatisfaction. It points out some weaknesses of conventional MRP tools and explains how advanced planning and scheduling tools can be used. A number of examples illustrate different ways to use simulat...

This thesis is concerned with production planning and scheduling in make-to-order manufacturing system. We seek effective modelling and efficient solution techniques that can help increase the productivity and the service level of an enterprise, together with reducing production costs, by supporting the management to make smarter decisions on these two levels of the planning hierarchy. In the t...

One of the topics of the EUREKA project PROTOS (Prolog Tools for Building Expert Systems) [Appelrath 87] is the development of a Prolog-based system that exploits heuristic knowledge for a concrete scheduling application from the chemical industry. The term scheduling designates the problem of chronological allocation of a given set of production orders to the apparatuses available taking into ...

This paper proposes a solution to the cross-a-door problem in unknown environments for a robotic wheelchair commanded through a Human-Machine Interface (HMI). The problem is solved by a dynamic path planning algorithm implementation based on successive frontier points determination. An adaptive trajectory tracking control based on the dynamic model of the robotic wheelchair is implemented on th...

In this paper, the problem of path planning for active simultaneous localization and mapping (SLAM) is addressed. In order to improve its localization accuracy while autonomously exploring an unknown environment the robot needs to revisit positions seen before. To that end, we propose a path planning algorithm for active SLAM that continuously improves robot’s localization while moving smoothly...

The adoption of build-to-order order fulfillment processes gives rise to a paradigm shift in production planning. Since all business is linked to customer orders, it is the order-driven planning activities that determine the success of operations. Therefore, a clear understanding of the associated planning tasks order promising and master production scheduling as well as their dynamic interacti...

Production planning and production control mainly focus on optimising the entire production system of a company. On the basis of hierarchical planning as a suitable method for solving this task, this paper shows besides the economic dimension taken into account so far that there are also social and ecological effects which will have to be considered in the process of planning. For this purpose,...