Sciweavers

Share
EOR
2010

New solution methods for single machine bicriteria scheduling problem: Minimization of average flowtime and number of tardy jobs

10 years 1 months ago
New solution methods for single machine bicriteria scheduling problem: Minimization of average flowtime and number of tardy jobs
We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average flowtime on a single machine. This problem, which is known to be NP-hard, is important in practice, as the former criterion conveys the customer's position, and the latter reflects the manufacturer's perspective in the supply chain. We propose four new heuristics to solve this multiobjective scheduling problem. Two of these heuristics are constructive algorithms based on beam search methodology. The other two are metaheuristic approaches using a genetic algorithm and tabu-search. Our computational experiments indicate that the proposed beam search heuristics find efficient schedules optimally in most cases and perform better than the existing heuristics in the literature.
Fatih Safa Erenay, Ihsan Sabuncuoglu, Aysegül
Added 02 Mar 2011
Updated 02 Mar 2011
Type Journal
Year 2010
Where EOR
Authors Fatih Safa Erenay, Ihsan Sabuncuoglu, Aysegül Toptal, Manoj Kumar Tiwari
Comments (0)
books