This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

The production of bakery goods is strictly time sensitive due to the complex biochemical processes during dough fermentation, which leads to special requirements for production planning and scheduling. Instead of mathematical methods scheduling is often completely based on the practical experience of the responsible employees in bakeries. This sometimes inconsiderate scheduling approach often l...

In this paper we consider n-jobs, m-machines permutation flow shop scheduling problems. Flow shop scheduling is one of the most important combinational optimization problems. The permutation flow shop scheduling problems are NP-Hard (Non deterministic Polynomial time Hard). Hence many heuristics and metaheuristics were addressed in the literature to solve these problems. In this paper a hybrid ...

A hybrid flow shop (HFS) is a generalized flow shop with multiple machines in some stages. HFS is fairly common in flexible manufacturing and in process industry. Because manufacturing systems often operate in a stochastic and dynamic environment, dynamic hybrid flow shop scheduling is frequently encountered in practice. This paper proposes a neural network model and algorithm to solve the dyna...

This paper represents the metaheuristics proposed for solving a class of Shop Scheduling problem. The Bacterial Foraging Optimization algorithm is featured with Ant Colony Optimization algorithm and proposed as a natural inspired computing approach to solve the Mixed Shop Scheduling problem. The Mixed Shop is the combination of Job Shop, Flow Shop and Open Shop scheduling problems. The sample i...

An interesting research area is to solve scheduling problems using network flow models and algorithms. Most of the existing papers in this research area deal with scheduling problems with parallel machines (identical and / or uniform machines). This paper considers the specialized case and develops network flow models and algorithms to solve open shop and flow and job shop problems.

In this paper, scheduling problems in Flexible Manufacturing Cells (FMC) are studied. The scheduling objective is to minimize the makespan. We used a genetic algorithm (GA) for solving the optimization scheduling problem. We have developed one FMC with industrial characteristics with the objective of studying scheduling problems in these types of manufacturing systems (single machine scheduling...