Original scientific paper This paper presents a hybrid genetic algorithm for assembly flow-shop scheduling problem with sequence-dependent setup and transportation times, with objectives, namely the minimizing of weighted, sum of total weighted squared tardiness, makespan, and total weighted squared earliness and number of tardy jobs. Since the problem is NP-hard, we solved this problem by hybr...

In this work, multicriteria decision making objective for flow shop scheduling with sequence dependent set up time and due dates have been developed. Multicriteria decision making objective includes total tardiness, total earliness and makespan simultaneously which is very effective decision making for scheduling jobs in modern manufacturing environment. As problem of flow shop scheduling is NP...

Transpose-and-Cache Branch-and-Bound (TCBB) has shown promise in solving large single machine quadratic penalty problems. There exist other classes of single machine job sequencing problems which are of more practical importance and which are also of considerable interest in the area of AI search. In the weighted earliness tardiness problem (WET), the best known heuristic estimate is not consis...

As modern manufacturing plants tend to group their machinery in manufacturing cells for greater efficiency, a good scheduling technique within each cell is very critical in ensuring the smooth operation of the entire plant. With this in mind, this study is focused on scheduling jobs in a mold manufacturing cell. The present method involves many problems of coordination between departments and s...

The problem considered in this work consists scheduling a set of tasks on single machine, around an unrestrictive common due date to minimize the weighted sum earliness and tardiness. This can be formulated as compact mixed integer program (MIP). In article, we focus neighborhood-based dominance properties, where neighborhood is associated insert swap operations. We derive from these properties...

 We present a new mathematical model for a permutation flowshop scheduling problem with sequence-dependent setup times considering minimization of two objectives, namely makespan and weighted mean total earliness/tardiness. Only small-sized problems with up to 20 jobs can be solved by the proposed integer programming approach. Thus, an effective multi-objective immune system (MOIS) is ...

In the paper, we investigate two single processor problems, which deal with the process of negotiation between a producer and a customer about delivery time of final products. This process is modelled by a due interval, which is a generalization of well known classical due date and describes a time interval, in which a job should be finished. In this paper we consider two different mathematical...

In this paper we address a multi-objective scheduling problem for unrelated parallel machines. In unrelated parallel systems, the processing cost/time of a given job on different machines may vary. The objective of scheduling is to simultaneously determine the job-machine assignment and job sequencing on each machine. In such a way the total cost of the schedule is minimized. The cost function ...

We study the Job-Shop Scheduling problem with Earliness and Tardiness penalties. We describe two Lagrangian relaxations of the problem. The first one is based on the relaxation of precedence constraints while the second one is based on the relaxation of machine constraints. We introduce dedicated algorithms to solve the corresponding dual problems. The second one is solved by a simple dynamic p...