The aim of this paper is to solve a problem on scheduling with earliness and tardiness costs using constraint programming approach, and to compare the results with the ones from the original timed automata approach. The case study, a production of lacquers, includes some real life features like operating hours or changeover times. Considering the earliness and tardiness costs of the case study,...

This paper considers the problem of scheduling n jobs in the generalized tardiness flow shop problem with m machines. Seven algorithms are developed for finding a schedule with minimum total tardiness of jobs in the generalized flow shop problem. Two simple rules, the shortest processing time (SPT), and the earliest due date (EDD) sequencing rules, are modified and employed as the core of seque...

We consider the problem of determining the allocation of demand from different customer orders to production batches and the schedule of resulting batches to minimize the total weighted earliness and tardiness penalties in context of batch chemical processing. The problem is formulated as a mixed-integer nonlinear programming model. An iterative heuristic procedure that makes use of the network...

This paper studied the flow shop scheduling problem under machine availability constraints. The machines are subject to flexible preventive maintenance activities. The nonresumable scenario for the jobs was considered. That is, when a job is interrupted by an unavailability period of a machine it should be restarted from the beginning. The objective is to minimize the total tardiness time for t...

In this note, we correct a mistake which was made in the paper “Minimizing Total Tardiness on Parallel Machines with Preemptions’ (see Journal of Scheduling, Vol. 15, 2012, 193 200).

We propose a hybrid algorithm based on the Ant Colony Optimization (ACO) meta-heuristic, in conjunction with four well-known elimination rules, to tackle the NP -hard single-machine scheduling problem to minimize the total job tardiness. The hybrid algorithm has the same running time as that of ACO. We conducted extensive computational experiments to test the performance of the hybrid algorithm...

art exact algorithms suffer from relatively poor performances. On the other hand the problem has been successfully tackled by local search heuristic algorithms where the neighborhood of a solution is usually computed by applying swap (a.k.a. pairwise interchange) operators to the working sequence. Dynasearch is a neighborhood search technique introduced by Congram et al. [1] whose main feature ...

This paper studies no-wait flowshop scheduling problems to minimize total tardiness. This paper mathematically formulates the problem as an effective mixed integer linear programming model. Moreover, this paper proposes solution methods based on variable neighborhood search and simulated annealing algorithms. Besides, some well-known heuristics of classical flow shops are adapted to the case of...

In this study, a Tabu Search (TS) approach to the parallel machine scheduling problem is presented. The problem considered consists of a set of independent jobs to be scheduled on a number of parallel processors to minimize total tardiness. Several surveys on parallel machine scheduling with due date related objectives [1, 2, 3] reveal that the NP-hard nature of the problem renders it a challen...

In this article we present an application of the Ant Colony Optimization (ACO) metaheuristic to the single machine total weighted tardiness problem. First, we briefly discuss the constructive phase of ACO in which a colony of artificial ants generates a set of feasible solutions. Then, we introduce some simple but very effective local search. Last, we combine the constructive phase with local s...