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Flexible Job Shop Scheduling Problem with Sequence-Dependent Transportation Constraints and Setup Times

Varone Sacha, Schindl David, Beffa Corentin

Annals of Computer Science and Information Systems

2021

Vol. 26

97--102

We study a production scheduling problem, which adresses on the one hand the usual operational constraints such as the precedence of operations, time windows, delays, uniqueness of treatment, availability of resources, and waiting times. On the other hand, the problem takes into account possible restricted movements according to production orders. This problem is a variant of a flexible job shop scheduling problem with several types of sequence-dependent constraints. We consider additional sequence-dependent setup times, as well as sequence-dependent transportation and assignment restrictions. We propose a mixed integer programming model (MIP). It is based on the MIP model of a flexible job shop scheduling problem, in which we add those sequence-dependent constraints. We solve it with a general purpose MIP solver.

Personality in project management methods

Szwarc E., Szkatuła K., Bzdyra K.

Applied Computer Science

2009

Vol. 5, no 2

68--79

High work efficiency is required by today’s organizations. Besides of other factors it depends on the right allocation of employed workers to their duties. Assigning employees to the right activities isn’t an easy task, because the job efficiency and differences in human nature have to be considered simultaneously. Usually, the decision undertaken by the human resource (HR) manager is based on his subjective experience. In several cases, such solution results in negative reactions of employees, and may lead to conflicts occurrence. In order to avoid them the problem of allocation of the properly selected team (taking into account workers’ personality) to the project’s activity is of crucial importance. Its right solution can decrease risk of activity execution delay. So, it is assumed the project’s completion time depends both on physical and psychological features of employed workers. Experimental results presented illustrate this approach.