Thesis (M.Eng.) -- Memorial University of Newfoundland, 1985. / Typescript. Bibliography : leaves 109-112. Also available online.

Thesis (Ph. D.)--Carleton University, 1993. / Also available in electronic format on the Internet.

Thesis (M.S.)--Marquette University, 2009. / Saeed Karshenas, Christopher M. Foley, Sriramulu Vinnakota, Advisors. Available for download on June 07, 2010.

Thesis (Ph. D.)--University of Texas at Austin, 2005. / Supervisor: Jonathan F. Bard. Vita. Includes bibliographical references.

Thesis (M. Eng.)(Industrial)--University of Pretoria, 2004. / Includes summary. Includes bibliographical references.

Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2005. / Title from PDF title page (viewed on Jan. 5, 2006). Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.

by Gabriel R. Bitran, Maqbool Dada, Luis O. Sison, Jr. / "February 1983." / Bibliography: p. 71-73.

Thesis (MScEng (Industrial Engineering))--University of Stellenbosch, 2009. / Scheduling is a core activity in the manufacturing business. It assists with efficient and effective utilization of capital-intensive resources and increased throughput, thus increasing profitability. The focus in this thesis is on scheduling of manufacturing orders in a make-to-order job-shop enterprise. It is widely accepted that manufacturing of large volumes and production with as few as possible product variants is the most cost-effective business approach, but the need for low volume, once-off engineering parts will always exist. Many approaches to scheduling exist, including translation of a scheduling problem to a Travelling Salesman analogue, while Discrete-event computer simulation is well established as a means to assist with scheduling. Simulation is appealing in the manufacturing environment, as it can realistically imitate dynamic, stochastic processes while being descriptive in forecasting the future. In this thesis, the development and testing of a simulation-based scheduler is described. The scheduler was developed for, and in collaboration with a South African make-to-order job-shop enterprise. A supporting information system was also developed and it is required that the enterprise changes some of its business processes if this scheduler is implemented. The scheduler considers the status of the enterprise each time a new order is received, and the current schedule is reviewed and may be revised at such a point in time, making it a real-time scheduler. Several classic scheduling dispatching rules and –measures were incorporated in the scheduler. These include First-in First-out, Earliest Due Date, Longest Processing Time, Shortest Processing Time, Smallest Slack and Critical Ratio (dispatching rules), while the performance measures are Makespan, Earliness, Lateness, Average Flow Time and Machine Usage. The proposed scheduler has been verified and validated using test data and designed confidence building tests, and its performance was also compared to an actual, historical schedule. The functioning of the scheduler is finally demonstrated using a stochastic test environment. The scheduler has generally performed satisfactorily and should be implemented as the final phase of this project.

This thesis looks at the medium term mine planning process and tools in the Leveäniemi open pit mine operated by LKAB Svappavaara. The current planning process uses software, Chronos, which was previously used successfully to perform medium term planning for the Gruvberget mine, which is also operated by LKAB Svappavaara. Because of scale and geological differences this method is much less successful when applied in Leveäniemi, which has created the need to investigate other possible methods. Since the Maptek scheduling solution Evolution is already available for use, this is the first candidate to be investigated. This report uses a case study approach, where both methods are evaluated in their intended operating environment. Results obtained indicate that Evolution could be a viable replacement to conduct medium term planning. Testing indicates that Evolution is able to produce a schedule satisfying the planning criteria to the desired standard. The fact that Evolution is able to produce schedules with longer time horizons without having to sacrifice detail means that it could also improve the integration between long and medium term planning. Besides replacing Chronos it was demonstrated that there are also some things that can be done using Evolution that are not possible using the Chronos module. From what has been demonstrated it can be concluded that there is a possibility to achieve significant benefit using these extra functions.