Open AccessSystem for Uncertainty Factors Accounting When Optimizing and Choosing Effective Options for Network Work Schedules on a Dynamic Model with Dead-End Controls
Author(s) -
V. P. Korneenko,
S V Nazyuta,
Alexander Chursin
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/666/6/062129
Subject(s) - computer science , piecewise , constraint (computer aided design) , work (physics) , function (biology) , mathematical optimization , component (thermodynamics) , control (management) , resource (disambiguation) , domain (mathematical analysis) , industrial engineering , operations research , mathematics , engineering , artificial intelligence , mechanical engineering , mathematical analysis , computer network , physics , geometry , evolutionary biology , biology , thermodynamics
This article proposes accounting for uncertainty factors in a dynamic optimization model. Accounting for uncertainty factors in equipment performance is represented by a decreasing piecewise-constant function, the domain of which is the expert ordinal measurement scale. The basis of the optimization of the execution time on the example of creating a helicopter technology is the dead-end control method which refers to such an admissible Boolean control in which the replacement of an arbitrary zero component by one leads to a violation of the resource constraint. To ensure stable work of a manufacturer, several options of network schedules are usually calculated based on various initial data. The final choice of the effective option is made according to a vector criterion, which can include the time of completion of a complex of works, the degree of intensity of a plant’s work plans, the uniformity of the equipment load (work teams), etc.