Minimizing Number of Tardy Jobs in Flow Shop Scheduling Using A Hybrid Whale Optimization Algorithm

Minimizing the weighted number of tardy jobs in a hybrid flow shop with Genetic Algorithm

This paper considers a real-world industrial problem in order to minimize the (weighted) number of tardy jobs. This problem occurs in a company where due dates are associated with parts, and penalties incur when the parts are completed after the due dates, whatever the magnitude of the tardiness. Therefore, the objective function can be modelled as minimization of the (weighted) number of tardy...

Minimising the weighted number of tardy jobs in a hybrid flow shop with genetic algorithm

This paper considers a real-world industrial problem in order to minimize the (weighted) number of tardy jobs. This problem occurs in a company where due dates are associated with parts, and penalties incur when the parts are completed after the due dates, whatever the magnitude of the tardiness. Therefore, the objective function can be modelled as minimization of the (weighted) number of tardy...

Minimizing the Expected Number of Tardy Jobs in Dynamic Flow Shop with Stochastic Due Dates

The problem of minimizing the expected number of tardy jobs in a dynamic m machine flow shop i.e., Fm�rj�E�∑Uj� is studied in this research. It is assumed that the jobs with deterministic processing times and stochastic due dates arrive dynamically and randomly to the flow shop cell. The due date of each job is assumed to be normally distributed with known mean and variance. A dynamic method is...

Minimizing the Number of Tardy Jobs

Minimizing the number of tardy jobs in single machine scheduling using MIP

This paper considers the problem of scheduling n jobs on a single machine. A fixed processing time and an execution interval are associated with each job. Preemption is not allowed. The objective is to find a feasible job sequence that minimizes the number of tardy jobs. On the basis of an original mathematical integer programming formulation, this paper shows how both good-quality lower and up...