Min Kong

Papers

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About

Dr. Min Kong is a leading researcher in sustainable manufacturing and production optimization, with a focus on the industrial robotics sector. Their work addresses the critical intersection of operational efficiency and environmental responsibility, developing advanced scheduling and decision-making models for complex manufacturing systems. Dr. Kong’s most cited paper, “Bi-level programming for joint order acceptance and production planning in industrial robot manufacturing enterprise” (2024, 11 citations), introduces a novel framework that simultaneously optimizes order selection and production scheduling, a key challenge for high-mix, low-volume production. Building on this, their study on “Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field” (2024, 8 citations) provides a practical methodology for reducing energy consumption in assembly lines, directly supporting green manufacturing initiatives. By integrating bi-level programming and energy-aware scheduling, Dr. Kong’s research offers actionable solutions for industrial robot manufacturers seeking to enhance competitiveness while fulfilling sustainability obligations. Their work is particularly valuable for researchers and practitioners aiming to align production efficiency with global environmental goals.