Abstract: In this study, decision making tools in the form of Plan, Control, Improve, Act (PCIA) based approach is discussed for attaining sustainability in diverse application fields related to Industrial and manufacturing filed. The developed techniques can help decision makers in attaining appropriate insights and decision tactics. This study examines how decision-making frameworks based on PCIA can support sustainability objectives across diverse industrial sectors. Modern industries face complex sustainability challenges high emissions, resource depletion, waste generation and social impacts. Iterative management cycles and data-driven decision tools help organizations navigate these challenges. We outline a PCIA methodology where Plan entails setting sustainability goals and strategies, Control involves continuous monitoring of key indicators, Improve focuses on process optimization and Act implements corrective measures and institutional learning.

This PCIA approach is applied to case studies in beverage, oil, cement, steel, furniture manufacturing and academic institutions. Beverage sector, planning may target renewable energy and packaging reduction, control uses sensor data for waste and water use and improvement implements circular-economy practices. In the cement and steel industries, PCIA guides low-carbon material choices and process innovation as stakeholders evaluate trade-offs via Life cycle assessment (LCA) and multi-criteria decision analysis. The study demonstrates that combining lean principles and digital tools within PCIA yields better decisions for environmental performance. Our findings suggest that a structured PCIA cycle integrating planning, monitoring, continuous improvement and decisive action can help managers systematically align industrial operations with sustainability targets. Ultimately, embedding PCIA fosters transparency, accountability and continuous learning in organizational sustainability strategy, advancing long-term resilience and competitiveness.

Keywords: Decision making, Industrial and manufacturing, sustainability, Life cycle assessment, critical thinking.

Downloads: | DOI: 10.17148/IJIREEICE.2026.14550