A flow line is a conventional manufacturing system where all jobs must be processed on all machines with the same operation sequence. Line buffers allow non-permutation flowshop scheduling (NPFS) and job sequences to be changed on different machines. A mixed-integer linear programming model for non-permutation flowshop scheduling and the buffer requirement along with manufacturing implication i...

Flowshop scheduling deals with processing a set of jobs through a set of machines, where all jobs have to pass among machines in the same order. With the exception of minimizing a makespan on two machines, almost all other flowshop problems in a general setup are known to be computationally intractable. In this paper we study a special case of flowshop defined by additional machine dominance co...

The problem of m-machine permutation flowshop scheduling is considered in this paper. The objective is to minimize the makespan. The flowshop scheduling problem is a typical combinatorial optimization problem and has been proved to be strongly NP-hard. Hence, several heuristics and meta-heuristics were addressed by the researchers. In this paper, a discrete African wild dog algorithm is applied...

Inserted idle time occurs when a machine is kept waiting deliberately for the arrival of a job that is still being processed on a preceding machine. A common assumption in most of the existing literature on flowshop scheduling is that inserted idle time is not allowed, and whenever there are jobs that are ready for processing on a given machine, that machine is not kept idle for any reason. Thi...

Several grammar-based genetic programming algorithms have been proposed in the literature to automatically generate heuristics for hard optimization problems. These approaches specify the algorithmic building blocks and the way in which they can be combined in a grammar; the best heuristic for the problem being tackled is found by an evolutionary algorithm that searches in the algorithm design ...

The paper describes an algorithm for solving the scheduling problem of a hybrid flowshop (flowshop with multiple processors, FSMP). The algorithm is a combination of genetic algorithm and tabu search, and the batch processes it is applied on are modeled by a model of time requirements. The paper describes the algorithm and compares its performance with other optimization techniques.

This research presents a novel approach to solve m-machine no-wait flowshop scheduling problem. A continuous flowshop problem with total flowtime as criterion is considered applying a hybrid evolutionary algorithm. The performance of the proposed method is evaluated and the results are compared with the best known in the literature. Experimental tests show the superiority of the evolutionary hy...

This paper presents an improved artificial bee colony (IABC) algorithm for solving the blocking flowshop problem with the objective of minimizing makespan. The proposed IABC algorithm utilizes discrete job permutations to represent solutions and applies insert and swap operators to generate new solutions for the employed and onlooker bees. The differential evolution algorithm is employed to obt...