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Making shift work economically and socially acceptable

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Robert Simon
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Shift work is an indispensable part of many industries; from manufacturing to healthcare. But reality shows that poorly designed shift systems can be costly for companies. Health problems; productivity losses and staff turnover are just some of the consequences. So how can a healthy and efficient shift model be developed that meets the needs of both employees and the company?

The costs of shift work – and the consequences of poor design:


A shift system that is not optimally designed can have significant financial and organisational consequences for companies:

  • Higher healthcare costs: Unhealthy shift schedules increase the risk of chronic diseases such as cardiovascular disease and mental health issues. Sickness rates rise; and with them the costs of replacements and lost working hours.
  • Loss of productivity: Sleepiness and concentration problems lead to mistakes; quality losses and potential accidents at work. Studies show that night workers are less productive on average.
  • Increased staff turnover: Employees who cannot cope with the stress are more likely to leave the company. The costs of recruitment and training increase.
  • Dissatisfaction and conflicts: Social stress caused by poorly planned shifts leads to dissatisfaction within the team and a poorer working atmosphere.
  • Loss of reputation: Companies that neglect health and social aspects risk their reputation as employers.

Why healthy shift planning pays off:

  • Reduced costs: Investing in better shift models reduces sick leave and staff turnover in the long term.
  • Productivity and quality: Well-rested and motivated employees work more efficiently; make fewer mistakes and deliver better results. Ultimately; there are also fewer accidents.
  • Attractiveness as an employer: With health- and family-friendly models; companies attract skilled workers and retain existing employees.


What is the key?
A comprehensive analysis of current shift schedules and their effects is the first step. A data-based assessment can be used to identify the right levers for change. Aspects such as the direction of rotation; the number of night shifts and employees' control over their own time play a decisive role.

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