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...

Setup operations on machines usually need of tooling and/or personnel to be carried out. Therefore, the length of the setup might not only depend on the machine and job sequence, but also on the number of resources assigned. This situation is common in real problems arising in several industries where setup operations in production lines are frequent. These operations are indeed setups whose le...

We consider the problem of scheduling n independent jobs on m unrelated parallel machines with sequence-dependent setup times and availability dates for the machines and release dates for the jobs to minimize a regular additive cost function. In this work, we develop a new branch-and-price optimization algorithm for the solution of this general class of parallel machines scheduling problems. A ...

The consideration of sequence-dependent setup times is one of the most difficult aspects of production scheduling problems. This paper reports the development of a heuristic procedure to address a realistic production and inventory control problem in the presence of sequence-dependent setup times. The problem considers known monthly demands, variable production rates, holding costs, minimum and...

This paper deals with lot sizing and scheduling for a single-stage, single-machine production system where setup costs and times are sequence dependent. A large-bucket mixed integer programming (MIP) model is formulated which considers only e$cient sequences. A tailor-made enumeration method of the branch-and-bound type solves problem instances optimally and e$ciently. The size of solvable case...

Recently Koulamas and Kyparisis (2006) introduced past-sequence-dependent setup times to scheduling problems. This means that the setup time of a job is proportionate to the sum of processing times of the jobs already scheduled. Koulamas and Kyparisis (2006) were able to show for a number of single-machine scheduling problems with completion time goals that they remain polynomially solvable. In...