| dc.description.abstract | Targeting man-machine operation management in geological drilling construction, mobilization and assignment conditions, and scheduling needs and with “completion on schedule” and “minimum costs” as the objectives, the optimization mathematical construct model was adopted to obtain the daily machinery intended for each exploration hole and the worker assignment schedule, which will enable operators to fully apply resources at the lowest costs. In practice, the decision-maker resolves scheduling problems through the addition of machine units and an overtime mode. In this study, the effects of “driller hole change, machine transfer during construction, repair and maintenance, troubleshooting, and other factors” on “scheduling” are especially taken into consideration. At the time of optimization model construction, construction schedule analyses, and adjustments are carried out to keep pace with the actual construction progress.
As for the method adopted to derive the solution, based on the coordinated drilling machine and worker operation scheduling and other conditions, and through the use of OFFICE EXCEL software, the number of construction days needed to reach completion, taking into account each exploration hole and various drilling machine and workman configurations, coupled with schedule adjustments, such as machine and hole transfer, repair and maintenance, troubleshooting, and other factors, the basic information of the adjusted parameters are input into the LINGO 12.0 package software to derive the solution and output the optimized man-machine operation dispatch situation at minimum costs through OFFICE EXCEL datasheets. In case the conditions, status, and practices vary during construction, the parameters and constraints can be readily adjusted, so as to re-assign machine units and worker planning and schedule tasks that have not yet been undertaken.
In order to verify the applicability of the model, an anonymous industrial development construction project was employed to carry out sample testing. The lowest costs obtained using the mathematical model of the optimization integer programming and the costs calculated using the decision-maker’s experience-based mobilization method were then compared and discussed. It has been proven that the optimization model in this study is indeed less costly and more effectively utilizes resources compared to manual experience-based assignment. Through sensitivity analysis, man-machine addition/reduction, overtime costs, and other resource configurations underwent planning and adjustment. Hence, this study can be widely applied in adjusting to unexpected situations, such as early planning and ongoing construction, machine workmen addition/reduction, overtime, and other cost planning issues during the construction period. Results shall be provided to operators for more precise resource distribution and cost control in terms of mobilization and planning of man-machine operation scheduling.
Keywords: geological drilling, operation management, integer programming, minimum cost,
optimization。 | en_US |