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...

We consider the NP-hard no-wait flowshop scheduling problem with sequence-dependent setup times to minimize makespan. We propose a hybrid heuristic which combines the iterated greedy process with local search method based on a block swap operator. Experimental results show that the proposed heuristic is comparatively more effective than the existing metaheuristics.

This paper presents a meta-heuristic algorithm for solving a job shop scheduling problem involving both sequence dependent setup-times and the possibility of selecting alternative routes among the available machines. The proposed strategy is a variant of the Iterative Flattening Search (IFS) schema. This work provides three separate results: (1) a constraint-based solving procedure that extends...

The recent survey paper “A Survey on Scheduling Problems with Setup Times and Costs” 1 , classifies batch scheduling problems into those with batching and nonbatching considerations, with sequence-independent and sequence-dependent setup times, and according to the machine environment and the objective function. The survey contains approximately 300 references, a clear indication of the importa...

We tackle the job shop scheduling problem with sequence dependent setup times and maximum lateness minimization by means of a tabu search algorithm. We start by defining a disjunctive model for this problem, which allows us to study some properties of the problem. Using these properties we define a new local search neighborhood structure, which is then incorporated into the proposed tabu search...

We consider Simultaneous Balancing and Scheduling of Flexible Mixed Model Assembly Lines with Sequence-Dependent Setup Times (SBSFMMAL-SDST). We propose alternate Mixed Integer Programming (MIP) and Constraint Programming (CP) formulations. Our experiments show that while the MIP models could not solve relatively small instances, the CP approach seems more promising.

This paper considers common due-date assignment and scheduling on parallel machines. The main decisions are: (a) deter-mining the common due-date; (b) allocating jobs to machines; and (c) sequencing the jobs assigned to each machine. The objective is to minimize the sum of the penalties associated with common due-date assignment, earliness and tardiness. As an extension of the existing studies ...

This paper investigates scheduling job shop problems with sequence-dependent setup times under minimization of makespan. We develop an effective metaheuristic, simulated annealing with novel operators, to potentially solve the problem. Simulated annealing is a well-recognized algorithm and historically classified as a local-search-based metaheuristic. The performance of simulated annealing crit...

This paper investigates a single machine scheduling problem with strong industrial background, named the prize-collecting single machine scheduling problem with sequence-dependent setup times. In this problem, there are n candidate jobs for processing in a single machine, each job has a weight (or profit) and a processing time, and during processing a symmetric sequence-dependent setup time exi...

In this paper, we address the problem of finding a permutation schedule of n jobs in an m machine flow-shop environment that minimizes the maximum completion time Cmax (Makespan) of all jobs. The jobs are available at time zero and have sequence-dependent setup times on each machine. All parameters, such as processing and setup times, are assumed to be known with certainty. This problem is clas...