Workforce planning in the printing industry

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Effectiveness in the use of the work force is often the crucial advantage in a company's long-term success over its competitors, especially in technology driven and highly competitive branches as the one considered in this article. While employee scheduling and rostering has been the topic of extensive research over the past decades, usually it is assumed that the size of the work force is either given or can be obtained without difficulty. In t his research we provide an integer programming model for long-term Staffing decisions. The model is based on qualification profiles, the number of which grows exponentially in terms of the number of processes considered. We present empirical results for a Company from the printing branch which show the potential ofour approach. In particular, it will be shown that applying the model lowers the total cost of the work force in the ränge of 26% -39%. Terms of use: Documents in EconStor may

Long-term staffing based on qualification profiles

“…We performed both a retrospective analysis comparing our results with past data and a prospective analysis by predicting future periods. In what follows we summarize the results obtained (for details see Mundschenk and Drexl 2005).…”

Requirement estimation for indirect workforce allocation in semiconductor manufacturing

“…Additionally, long-term staffing optimises the workforce level for each category of staff hired during each period considering production ramping and technology migration. Some research on long-term staffing examines workforce planning optimisation under deterministic conditions (e.g., Mundschenk and Drexl 2007, Wirojanagud et al 2007, Fowler et al 2008. Other studies examine the stochastic nature of problems involving issues such as learning curve and turnover, which can be modelled as Markov decision processes and solved using various techniques (e.g., Gans andZhou 2002, Ahn et al 2005).…”

“…Mundschenk and Drexl (2007) propose an integer programming model for long-run staffing in the printing industry, and Pesch and Tetzlaff (2005) study the interactions between staffing and scheduling decisions in the automotive industry. Bard et al (2007) investigate workforce planning for US Postal Service mail processing and distribution centres.…”

An indirect workforce (re)allocation model for semiconductor manufacturing

“…A stream of this research is workforce planning optimization under deterministic conditions (e.g. Mundschenk and Drexl 2007). Another stream considers stochastic nature of the problem such as learning curve and turnover, which can be modeled as Markov decision processes and then solved using different techniques (e.g., Gans and Zhou 2002;Ahnet et al 2005).…”

“…The applications of workforce planning have been studied in various industries. For example, Mundschenk and Drexl (2007) propose an integer programming model for long-run staffing particularly for printing industry, and Pesch and Tetzlaff (2005) study the interactions between staffing and scheduling decisions in the automotive industry. Bard et al (2007) investigate the workforces planning for United States Postal Service mail processing and distribution centers.…”