proper scheduling of tasks leads to optimum using of time and resources, inorder to obtaining best result. one of the most important and complicatedscheduling problems is open shop scheduling problem. there are n jobs in openshop scheduling problem which should be processed by m machines. purpose ofscheduling open shop problem is attaining to a suitable order of processing jobs byspecified mach...

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

In this paper, we first introduce a generalized version of open shop scheduling (OSS), called generalized cyclic open shop scheduling (GCOSS) and then develop a hybrid method of metaheuristic to solve this problem. Open shop scheduling is concerned with processing n jobs on m machines, where each job has exactly m operations and operation i of each job has to be processed on machine i . However...

This paper takes a game theoretical approach to open shop scheduling problems minimize the sum of completion times. We assume that there is an initial schedule process jobs (consisting number operations) on machines and each job owned by different player. Thus, we can associate cooperative TU-game any problem, assigning coalition maximal cost savings it obtain through admissible rearrangements ...

We combine genetic algorithms and case-based reasoning principles to nd optimally directed solutions to open shop scheduling and open shop rescheduling problems. Appropriate solutions to open shop scheduling problems are injected into the genetic algorithm's population to speed up and augment genetic search on a related open shop rescheduling problem. Preliminary results indicate that the combi...

This paper deals with multi-operation models, which are different from the flow shop and job shop models. In the flow shop or job shop models, the routes of all jobs are known in advance. In practice, the route of the job is often immaterial and up to the scheduler to decide. When the routes of the jobs are open, the model is referred to as an open shop. This paper describes the development of ...

One-opeator two-machine open shop and ow shop problems are NP-hard in the ordinary sense even if all the weights are the same. We discuss two di erent pseudo polynomial dynamic programming recursions for each of the open shop and ow shop case. Some of the running times are better than those of the best known algorithms in the literature.