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dc.contributor.authorGoren, S.en_US
dc.contributor.authorSabuncuoglu I.en_US
dc.date.accessioned2016-02-08T11:52:45Z
dc.date.available2016-02-08T11:52:45Z
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/11693/27413
dc.description.abstractScheduling is a decision making process that concerns with allocation of limited resources (machines, material handling equipment, operators, tools, etc.) to competing tasks (operations of jobs) over time with the goal of optimizing one or more objectives. The output of this process is time/machine/operation assignments. In the scheduling theory, the objective is generally to optimize one or more regular performance measures such as makespan, flow-time, and tardiness. Recently, two new measures have been also used in scheduling applications: "robustness" and "stability". In this paper, we develop a new surrogate measure to achieve robustness and stability. This measure is embedded in a tabu search algorithm to generate schedules in a single machine environment subject to random machine breakdowns. The results of extensive computational experiments indicate that the proposed method performs better than the average slack method used in the literature.en_US
dc.language.isoEnglishen_US
dc.source.titleIIE Annual Conference and Exhibition 2004en_US
dc.subjectRobustnessen_US
dc.subjectSingle Machine Schedulingen_US
dc.subjectStabilityen_US
dc.subjectTabu Searchen_US
dc.subjectDecision makingen_US
dc.subjectMachineryen_US
dc.subjectMaterials handling equipmenten_US
dc.subjectRobustness (control systems)en_US
dc.subjectSingle machine schedulingen_US
dc.subjectTabu searchen_US
dc.subjectSchedulingen_US
dc.titleGenerating robust and stable schedules in a single machine environmenten_US
dc.typeConference Paperen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage821en_US
dc.citation.epage826en_US


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