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Competence-based Personnel Scheduling through Production Data
Author(s) -
Berend Denkena,
Marc-André Dittrich,
F. Winter
Publication year - 2017
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2017.03.114
Subject(s) - competence (human resources) , production planning , scheduling (production processes) , operations management , business , knowledge management , engineering , operations research , computer science , manufacturing engineering , industrial engineering , production (economics) , management , economics , macroeconomics
Personnel scheduling closes the missing link between personnel and production planning in manufacturing companies. Personnel scheduling has a significant impact on the development of employee competencies and the achievement of production goals. Nevertheless, in industrial practice the performance of the employee is not considered in production planning. According to the 5th Global Productivity Study of the Proudfoot Consulting 37% of working time is wasted, which is mainly due to a lack of planning and control. A major reason is the difficult measurability of employee competence and performance. In this paper, a method that describes the influence of employees on the processing and set-up time and its implementation at a manufacturer of thread parts is shown. For this, production data is statistically evaluated to predict the employee's influence. This information will be used by an algorithm for personnel scheduling. Thus, the highest possible competence development can be achieved in accordance with the utilization of the production. © 2017 The Authors. Published by Elsevier

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