Abstract
The purpose of the work was to develop a concept of an algorithm which supports the process of scheduling production tasks. The designed algorithm performs a task queue creation process in six steps: selecting a schedule type, declaring a queue length, selecting orders for queue development, loading data, automatic job analysis, and queue and Gantt chart generation, taking a decision on the acceptance of the designed production program. The designed system will use single-attribute priority rules (defined by experts) and multi-attribute rules that can be created by combining single-attribute rules. The concept of an algorithm that supports the process of scheduling production tasks, developed and tested by conducting simulations, can be the basis for developing a computer application supporting decision-making process in a manufacturing or service company.
Highlights
Production management in a modern company combines production engineering, organizational technology and staff experience
Scheduling, as part of organizational techniques used in the enterprise, combined with other resources is one of the conditions for a successful enterprise development
Studies conducted in the printing industry showed that the use of single-attribute priority rules does not produce the best results
Summary
Production management in a modern company combines production engineering, organizational technology and staff experience. The aim is to minimize costs, while preserving the assumed level of production, while ensuring the quality of the offered products / services. One of the key but at the same time the most difficult tasks in manufacturing management is task scheduling. A well-prepared schedule ensures manufacturing stability and minimizes decision-making uncertainty. Scheduling, as part of organizational techniques used in the enterprise, combined with other resources (e.g. staff experience, innovative technologies) is one of the conditions for a successful enterprise development. The schedule must take into account a number of factors (e.g. production costs, inventory values, storage costs, customer satisfaction, meeting delivery deadlines, minimizing delays, use of machine stock, minimizing rearming time, maximizing use of labor force)
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