Using a Serious Game to Support Learning of ABC-Based Storage Decisions in Warehouse Order Picking
Year: 2026
Type: conference-paper
Abstract: This paper presents a serious game designed to support learning of ABC-based storage decisions in warehouse order picking. Traditional teaching of ABC analysis often focuses on numerical classification, making it difficult for learners to understand how storage decisions affect physical order picking activities. To address this limitation, the proposed game provides an interactive environment in which learners perform order picking tasks under controlled system conditions and observe the consequences of storage reallocation directly. The game consists of three stages that allow learners to experience order picking before and after ABC-based storage reallocation. During gameplay, the system automatically records operational data, including forklift travel distance and handling time, which are used as objective learning analytics rather than optimization indicators. Pick accuracy is recorded only to ensure correct task execution and data validity. Results from system-recorded gameplay data show that ABC-based storage reallocation leads to a clear reduction in forklift travel distance, indicating more efficient movement during order picking activities. However, handling time does not consistently decrease, suggesting that time performance is also influenced by human interaction and learning behavior during gameplay. The findings show that serious games with built-in data logging help learners observe how ABC-based storage decisions affect order picking activities. The proposed approach illustrates how serious games can be used as practical learning and training tools to connect analytical concepts with hands-on warehouse operations.
Institutions: Bangkok University, Sripatum University
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7204603202