Solving the Sustainable Automobile Production-Distribution Joint Optimization in the Physical Internet-Enabled Hyperconnected Order-to-Delivery System by I-NSGAIII

Abstract

The Physical Internet (PI)-enabled hyperconnected order-to-delivery system (OTD) provides new solutions for sustainable supply chains from production perspectives. In this system, a PI-enabled hyperconnected manufacturing system is more closely tied with other functions through Internetof-Things (IoT)-enabled machines for communication. In the OTD, the PI-enabled hyperconnected production-distribution system (PI-H) is modelled by multi-objective mixed-integer-nonlinear programming to evaluate sustainability. We develop an improved reference-point based non-dominated sorting genetic algorithm (I-NSGAIII) to solve practical-scale PI-enabled hyperconnected production-distribution scheduling problems, with the problem-specific solution expression and dynamic programming, subproblem-guided crossover and mutation strategies, and adaptive evolution mechanisms. I-NSGAIII's performance advantages and PI-H's sustainable advantages are validated through extensive experiments.INDEX TERMS Integrated production-distribution scheduling, multi-objective optimisation, physical internet, supply chain management, sustainability.• Under the different market structures and demand scales which are the practical situation in MTO, the sustainability performance of PI-H is quantitatively investigated, and some managerial implications are established.