In this paper we compare simulated annealing and tabu search approaches to a single machine common due date assignment and scheduling problem with jobs available at different times. The objective is to minimize the total weighted sum of earliness, tardiness and due date costs.

This paper considers a scheduling problem for parallel burn-in ovens in the semiconductor manufacturing industry. An oven is a batch processing machine with restricted capacity. The batch processing time is set by the longest processing time among those of all the jobs contained in the batch. All jobs are assumed to have the same due date. The objective is to minimize the sum of the absolute de...

We consider the problem of scheduling of n jobs to minimize the total earliness and tardiness penalty. The scheduling objective is to minimize the sum of job dependent earliness and tardiness penalties.. After determining the scheduling for single machine common due date, using neural network, the result shows that the neural network solution performs very well.

An important special case of the problem studied in Cheng and Kovalyov (1996) arises when there are equal setup times and equal job processing times. Computational complexity of this case was indicated to be open, however. I prove its NP-hardness. Cheng and Kovalyov [l] introduced the following due date assignment and scheduling problem. There are n groups of jobs to be scheduled for processing...

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A single machine n-job scheduling problem is examined to minimize sum of absolute deviations of completion times from a common due date. Simple and hybrid genetic Algorithms are developed by investigating basic operators for the applications of job sequencing problems. For the simple genetic algorithm two heuristic crossover schemes: Algorithm VASX and Algorithm VADX are developed based on impo...

The just-in-time production philosophy has led to a growing interest in scheduling problems considering both earliness and tardiness penalties. Most publications considering these so-called non-regular objective functions are devoted to single machine problems. In the case of multi-machine problems, there are some papers dealing with parallel machine problems. However, for multi-operation sched...

In this paper we consider the single machine scheduling problem with integer release dates and the objective of minimising the sum of deviations of jobs’ completion times from a common integer due date. We present an efficient polynomial algorithm for the unit processing time case. We also show how to calculate in polynomial time the minimum non-restrictive due date for the general case.

Efficient values from Game Theory are used, in order to find out a fair allocation for a scheduling game associated with the problem of scheduling jobs with a common due date. A four person game illustrates the basic ideas and the computational difficulties.

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 ...