Tek makineda iki ölçütlü çizelgeleme problemi için yeni çözüm metodları: Ortalama akış süresi ve toplam geç kalmış iş sayısını enküçükleme

In this thesis, we consider the bicriteria scheduling problem of minimizing numberof tardy jobs and average flowtime on a single machine. This problem, which isknown to be NP-hard, is important in practice as the former criterion conveys thecustomer?s position and the latter reflects the manufacturer?s perspective in thesupply chain. We propose two new heuristics to solve this multiobjectivescheduling problem. These two heuristics are constructive algorithms which arebased on beam search methodology. We compare these proposed algorithms withthree existing heuristics in the literature and two new meta-heuristics. Ourcomputational experiments illustrate that proposed heuristics find efficientschedules optimally in most of the cases and perform better than the otherheuristics.Keywords: Bicriteria Scheduling, Average Flowtime, Number of Tardy Jobs, BeamSearch.