No description available.

No description available.

No description available.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2000. / Field project. Includes bibliographical references.

UNIVERSITY OF THE WITWATERSRAND, JOHANNESBURG SCHOOL OF MECHANICAL ENGINEERING PROJECT REPORT FOR DEGREE OF MASTERS 0F SCIENCE IN ENGINEERING (INDUSTRIAL). / Pretoria Distributor, one of Eskom's five main distributors, was experiencing several problems with the management and planning of their electrification projects. The problems occurred as a result of inadequate systems, processes and training. The rapid increase in the volume of material that had to be managed necessitated them to investigate the possibility of implementing Materials Requirements Planning. The investigation highlighted the fact that it would be very difficult to handle the volume of projects on the current systems, [i.e. base systems) and while the environment at the Distributor is not ideally suited to MRP, they should still enjoy many of the benefits of implementing MRP. In preparing for the implementation, several action plans had to be put in place to address the problems of poor planning. By the time the Distributor was "live" on MRP many of the earlier problems relating to planning and design standards, had been addressed. 'the pest implementation evaluation revealed that although the electrification projects was not an ideal environment in which to run MRP, they were enjoying several benefits from the implementation. / Andrew Chakane 2018

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2000. / Includes bibliographical references.

No description available.

Thesis (M.S.E)--University of Wisconsin -- La Crosse, 2008. / Includes bibliographical references (p. 45).

Thesis (M.S.)--University of Missouri-Columbia, 2005. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (December 19, 2006) Includes bibliographical references.

The research presented in this dissertation addresses the Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP) in the presence of resource unavailability. This research is motivated by the scheduling of engineering design tasks in automotive product development to minimize the project completion time, but addresses a general scheduling situation that is applicable in many contexts. The current body of MMRCPSP research typically assumes that, 1) individual resource units are available at all times when assigning tasks to resources and, 2) before assigning tasks to resources, there must be enough resource availability over time to complete the task without interruption. In many situations such as assigning engineering design tasks to designers, resources are not available over the entire project-planning horizon. In the case of engineering designers and other human resources, unavailability may be due to several reasons such as vacation, training, or being scheduled to do other tasks outside the project. In addition, when tasks are scheduled they are often split to accommodate unavailable resources and are not completed in one continuous time segment. The objectives of this research are to obtain insight into the types of project scheduling situations where task splitting may result in significant makespan improvements, and to develop a fast and effective scheduling heuristic for such situations. A designed computational experiment was used to gain insight into when task splitting may provide significant makespan improvements. Problem instances were randomly generated using a modification of a standard problem generator, and optimally solved with and without task splitting using a branch and bound algorithm. In total 3,880 problem instances were solved with and without task splitting. Statistical analysis of the experimental data reveals that high resource utilization is the most important factor affecting the improvements obtained by task splitting. The analysis also shows that splitting is more helpful when resource unavailability occurs in multiple periods of short duration versus fewer periods of long duration. Another conclusion from the analysis indicates that the project precedence structure and the number (not amount) of resources used by tasks do not significantly affect the improvements due to task splitting. Using the insights from the computational testing, a new heuristic is developed that can be applied to large problems. The heuristic is an implementation of a simple priority rule-based heuristic with a new parameter used to control the number of task splits. It is desirable to obtain the majority of task splitting benefits with the smallest number of split tasks. Computational experiments are conducted to evaluate its performance against known optimal solutions for small sized problems. A deterministic version of the heuristic found optimal solutions for 33% of the problems and a stochastic version found optimal solutions for over 70%. The average percent increase in makespan compared to optimal was 7.58% for the deterministic heuristic and less than 2% for the stochastic versions demonstrating acceptable performance. / Graduation date: 2003