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...

Single-machine scheduling with past-sequence-dependent setup times and learning effects: a parametric analysis V. Mani, Pei-Chann Chang* and Shih-Hsin Chen Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India; Department of Information Management, Yuan Ze University, 135, Yuan-Dong Road, Tao-Yuan 320, Taiwan, R.O.C.; Department of Electronic Commerce Management, Na...

This paper presents a new mathematical model for the problem of scheduling part families and jobs within each part family in a flow line manufacturing cell where the setup times for each family are sequence dependent and it is desired to minimize the maximum completion time of the last job on the last machine (makespan) while processing parts (jobs) in each family together. Gaining an optimal s...

We present a systematic comparison of hybrid evolutionary algorithms (HEAs), which independently use six combinations of three crossover operators and two population updating strategies, for solving the single machine scheduling problem with sequence-dependent setup times. Experiments show the competitive performance of the combination of the linear order crossover operator and the similarity-a...

This paper addresses to the permutation flowline manufacturing cell with sequence dependent family setup times problem. The objective is to minimize the makespan criterion. We propose a cooperative approach including a genetic algorithm and a branch and bound procedure. The latter is probabilistically integrated in the genetic algorithm in order to enhance the current solution. Moreover, the ap...