Abstract This paper explores the characteristics of solutions when scheduling jobs in a shop with parallel machines. Three classical objective functions were considered: makespan, total completion time, and tardiness. These three criteria combined pairs, resulting bi-objective formulations. formulations solved using ε-constraint method to obtain Pareto frontier for each pair. The research is ev...

The Multi-objective Flexible Job Shop Scheduling (MFJSS) problem, in which the order or processing sequence for a set of jobs through several machines is assigned an optimal patterns have accepted sizeable attentiveness. Different types scheduling rules and procedures certain MFJSS made progress from these endeavors. problem cumbersome to be consistent due different criteria involved. This beca...

The task of job shop scheduling – determining the sequence and timing of jobs on available resources – is one of the most discussed practical problems in operations management. There are many appropriate problem definitions for job shop scheduling due to the complex and dynamic nature of the problem with a large number of variables and constraints linked to jobs and resources, such as specific ...

This scheduling model is derived from the real problem of scheduling looms in a textile industry. Jobs may be independently split over several specified machines and preemption is allowed. Deadlines are specified for each job and jobs are assumed to be available. It is shown that minimizing maximum weighted tardiness can be done in polynomial time. The case of uniform machines (as in the consid...

in this paper, we consider scheduling of project networks under minimization of total weighted resource tardiness penalty costs. in this problem, we assume constrained resources are renewable and limited to very costly machines and tools which are also used in other projects and are not accessible in all periods of time of a project. in other words, there is a dictated ready date as well as a d...