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

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 Internet-of-Things (I...

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Veröffentlicht in:IEEE access Jg. 11; S. 7471 - 7494
Hauptverfasser: Xue, Yaoting, Ji, Shoufeng, Zhu, Guosong, Zhao, Pengyun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Automobiles
Dynamic programming
Genetic algorithms
Integrated production–distribution scheduling
Internet of Things
Job shop scheduling
Mixed integer
multi-objective optimisation
Nonlinear programming
Optimization
physical internet
Production
Production scheduling
Sorting algorithms
Supply chain management
Supply chains
sustainability
Sustainable development
Transportation
ISSN:2169-3536, 2169-3536
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Zusammenfassung: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 Internet-of-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.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3237735