A PROGRAM-BASED TAKT-BASED THROUGHPUT CAPABILITY ANALYSIS (TBTCA) MODEL FOR DEMAND-ORIENTED PRODUCTION EVALUATION
Ashwini V.1, Paul Vizhian S.2
1Research Scholar, 2Professor,
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
Abstract: Aligning production capacity with customer demand is a critical challenge in manufacturing systems. Traditional evaluation approaches often lack the ability to dynamically assess multiple production scenarios and quantify demand gaps. This study presents a program-based TAKT-Based Throughput Capability Analysis (TBTCA) model, which integrates TAKT time with actual processing performance to evaluate demand feasibility. The proposed model is implemented using the Python programming language and enables structured, scenario-based analysis of production systems. A normalized capability index (TBTCA) is computed to classify system performance as demand-infeasible, balanced, or demand-capable. Additionally, the model quantifies demand gaps in terms of production shortfall or surplus. The results demonstrate that the developed computational model effectively identifies capacity constraints and evaluates improvement scenarios. The approach provides a simple, scalable, and data-driven tool for production planning and decision-making and can be extended to real-time industrial applications.
Keywords: TBTCA, TAKT Time, Throughput Capability, Capacity Planning, Demand Gap Analysis, Python Model
VOLUME 10 ISSUE 03 2026: 287 – 292