Implementing the 70/30 Demand-Driven Production Model for Waste Reduction in the Global Garment Industry: A Qualitative Systematic Review

Abstract

Purpose - This study explores how the 70/30 demand-based production model is a sustainable intervention to the problems of overproduction, deadstock building up, and environmental degradation in the global clothing sector. It attempts to evaluate the capability of such a hybrid model to be efficient and responsive, and to assess how such an implementation can overcome the risks of the traditional forecast-based systems.

Methodology - The study was conducted using a qualitative research design that entailed a Systematic Literature Review (SLR) in compliance with PRISMA guidelines, case-based analysis, and a scenario-based simulation. The thematic analysis was applied to only 49 high-quality publications published in 2020-25 to determine the primary tendencies of the production system, responsiveness to demand, and sustainability.

Findings - The findings reveal that the traditional forecast-based production system is one of the key drivers of overproduction, wasted inventory, and environmental degradation. Demand-driven models and the hybrid models, on the other hand, increase the compliance between production and the actual market demand. The 70/30 ratio of stable demand (70 percent) and flexible production (30 percent) has great potential to decrease deadstock, enhance the performance of inventory, and decrease the environmental impact of the 70/30 model.

Implications and Value - The study has implications for industry practitioners and policymakers in that it has highlighted the essence of digital tracking systems, real-time demand integration, and collaborative supply chain practices. The paper has added to the literature on sustainable supply chain management because the formalization of the 70/30 production model into an organized hybrid model has been presented. It bridges the gap between lean and agile manufacturing strategies and offers a new, viable strategy of improving sustainability and operations performance within the garment industry.