Work

Cold storage, warm breaks: The effects of rest breaks on order picking performance in cold-storage environments

Year: 2025

Type: article

Abstract: Cold-storage systems are essential components of cold supply chains. Although order picking technologies have advanced, many of these systems still rely on human labour, where workers are exposed to temperatures below -20 °C. Despite wearing protective clothing, prolonged exposure to such cold conditions can lead to cold stress, causing physiological impairments and fatigue, which ultimately reduce performance. Warm rest breaks are crucial to mitigate these adverse effects and maintain productivity. However, there is a dearth of field evidence on the effect of the timing and duration of these breaks on order picking performance. To address this gap, we collaborated with a grocery retailer to examine the impact of rest-break durations on the performance of order pickers in a cold-storage environment set at -21 °C. We analysed 514,953 visits to storage locations by 40 order pickers over four months, using a multilevel model with random intercepts and slopes. Our findings revealed a horizontal S-shaped relationship between work time after a break and order picking time, characterised by an initial increase, a stabilisation period, and then a sharp increase. The results suggest that there is an optimal working period following a rest break during which performance peaks before it begins to decline. This period varies depending on the length of the break, highlighting the importance of strategic scheduling to maximise order picking efficiency in cold-storage environments. • Effect of rest break on order picker performance examined in a cold storage operating at -21°C . • 514,953 visits to storage locations by 40 order pickers over four months. • Optimal working period after a break varies depending on the length of the break. • Findings facilitate optimal scheduling to improve efficiency and reduce costs.

Source: International Journal of Production Economics

DOI: 10.1016/j.ijpe.2025.109560

Authors: Thilini Ranasinghe, Dominic Loske, Eric H. Grosse

Institutions: Saarland University, Technische Universität Darmstadt

Language: English

Topic: Advanced Manufacturing and Logistics Optimization

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $4,420