Published Online:February 2026
Product Name:The IUP Journal of Operations Management
Product Type:Article
Product Code:IJOM010226
DOI:10.71329/IUPJOM/2026.25.1.5-22
Author Name:Sandeep Bhattacharjee
Availability:YES
Subject/Domain:Management
Download Format:PDF
Pages:5-22
This study compares three classical bin-packing heuristics (next fit, first fit, and first fit decreasing) by using multidimensional performance indicators and statistical validation for enabling evidence-based heuristic selection. The findings demonstrate the superiority of first fit decreasing over other heuristics in terms of bin efficiency and utilization. The impact is evident due to its significant statistical dominance observed across multiple problem instances, in comparison to other algorithms that satisfy feasibility constraints related to weight and volume. The originality of this study lies in exploring beyond theoretical assumptions and single-metric evaluations by empirical experimental analysis of utilization performance and dominance significance. However, the study is limited due to its focus on classical heuristics and static datasets. The results provide practical implications for operational decision-making in largescale logistics and resource allocation systems.
Space utilization and resource management remain a critical problem in operations management.