DATASET - Cost Optimization and Performance Enhancement in Hybrid Yatai-Seru Systems An Integrated Analysis with Learning Effects and Energy Efficiency.docx

This dataset contains comprehensive empirical data from an 18-month investigation of hybrid Yatai-Seru production systems implementation in a Turkish textile manufacturing facility. The study compares traditional manufacturing systems with five different hybrid configurations, analyzing cost optimization, energy efficiency, operator performance, and learning curve effects.<br>The dataset includes: (1) Product demand and cost structure data, (2) Operator competency profiles with AHP scores, (3) Task processing time matrices, (4) System setup and infrastructure costs, (5) Performance comparisons across six production models, (6) Operational metrics, (7) Wright's learning curve analysis, and (8) Financial performance indicators.<br>Additionally, complete LINGO optimization codes are provided for: AHP-based operator competency assessment, base 12-operator hybrid system model, and Wright's learning curve enhanced model with 15% productivity improvement integration.<br>Data supports research findings demonstrating 30.32% total cost reduction, 64.17% energy efficiency improvement, and 24.12% ROI through systematic hybrid Yatai-Seru implementation.