A constraint programming based branch-and-bound algorithm is embedded into a memetic algorithm to solve multiprocessor task scheduling problem in hybrid flow-shop environments. Both methods are able to solve the problem by themselves but the combination of the two allows to solve larger problem in a shorter amount of time. Computational experiments are conducted on a large set of instances and ...

Nowadays many industry consider an interval time as a due date instead of precise points in time. In this study, the hybrid flow shop scheduling problem with basic blocking constraint is tackled. Where jobs, if done within window, are deemed on Therefore, criterion to minimize sum weighted earliness and tardiness. This variant flowshop not investigated best our knowledge. we introduced new meta...

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...

Scheduling problems involving both earliness and tardiness costs have received significant attention in recent years. This type of problem became important with the advent of the justin-time (JIT) concept, where early or tardy deliveries are highly discouraged. In this work we examine the flowshop scheduling problem with no storage constraints and with blocking inprocess. In this latter environ...

This paper presents a new heuristic named GAPH based on a structural property for minimizing makespan in no-wait flowshop with sequence-dependent setup times. Experimental results demonstrate the superiority of the proposed approach over thhree of the best-know methods in the literature. Experimental and statistical analyses show that the new heuristic provides better solutions regarding the so...

This paper considers a cutting and scheduling problem of minimizing scrap motivated by float glass manufacturing and introduces the FGSP (float glass scheduling problem). We relate it to classical problems in the scheduling literature such as no-wait hybrid flow shops and cyclic scheduling. We show that the problem is NP-hard, and identify when each of the problem’s components are polynomially ...