We address the no-wait k-stage flexible flowshop scheduling problem where there are m identical machines at each stage. The objectives are to schedule the available n jobs so that makespan and mean tardiness of n jobs are minimized. Sequence-dependent setup times are treated in this problem as one of the prominent practical assumptions. This problem is NP-hard, and therefore we present a new mu...

Production scheduling, which directly influences the completion time and throughput of workshops, has received extensive research. However, due to high cost real-world production verification, most literature did not verify optimized scheduling scheme in workshops. This paper studied verification schemes environments, using a discrete event simulation (DES) platform. The aim this study is provi...

There is a growing interest on cyclic scheduling problems both in the scheduling literature and among practitioners in the industrial world. There are numerous examples of applications of cyclic scheduling problems in different industries (see, e.g., Hall (1999), Pinedo (2001)), automatic control (Romanovskii (1967), Cohen et al. (1985)), multi-processor computations (Hanen and Munier (1995), K...

We consider the problem of minimizing the makespan in a flowshop involving maximal and minimal time lags, denoted by Fm|θ, θ|Cmax. Time lag constraints generalize the classical precedence constraints between operations: minimal (respectively maximal) time lags indeed specify that the time elapsed between two operations must be lower(respectively upper-) bounded. We assume that such constraints ...

The manufacturing processes of a chip resistor are very similar to a flowshop scheduling problem only with minor details which can be modeled using some extra constraints; while permutation flowshop scheduling problems (PFSPs) have attracted much attention in the research works. Many approaches like genetic algorithms were dedicated to solve PFSPs effectively and efficiently. In this paper, a n...

Flowshop scheduling is an interdisciplinary challenge of addressing major optimality criteria of minimizing makespan and total-flow-time. The enumerations for finding the probabilities for improving the utilization of resources turn this problem towards NP-Hard. Particle Swam Optimization (PSO) has proven its ability to find of near optimal solution when problem size is large. Local search tech...

In this paper, we consider a flowshop scheduling problem with sequence-dependent setup times and a bicriteria objective to minimize the work-in-process inventory for the producer and to maximize the customers’ service level. The use of a bicriteria objective is motivated by the fact that successful companies in today’s environment not only try to minimize their own cost but also try to fulfill ...

Please cite this article in press as: Ciavotta, M., e prehensive study. European Journal of Operatio The permutation flowshop scheduling problem has been thoroughly studied in recent decades, both from single objective as well as frommulti-objective perspectives. To the best of our knowledge, little has been done regarding the multi-objective flowshop with Pareto approach when sequence dependen...

In this research, we consider a two-machine permutation flowshop with ready times and limited waiting times of jobs in a semiconductor fab. In the flowshop, each job has its corresponding ready time (arrival time) at machine 1 (for the first operation) and limited waiting time between the completion time of the first operation on machine 1 and the starting time of the second operation on machin...