| 摘要(英) |
The textile industry is one of the polluting industries in the world, and the problem of environmental pollution has received more attention in recent years. Therefore, this paper considers the factors of environmental carbon emissions, energy recovery and waste reuse, and establishes mathematical programming models through Activity-Based Costing (ABC) and Theory of Constraints (TOC) to obtain product mixes that maximize profit, the amount of taxes, the carbon rights purchase cost, and the use of resources. This paper also discusses, in actual production, how to combine Industry 4.0 with the use of real-time sensing and detection technology to achieve the goals of waste recovery, carbon emissions reduction, energy and costs saving, and transfer those collected data into the ERP system and conduct big data analysis, and respond optimally to production problems. In terms of production planning, this paper uses eight different carbon emission cost models, which include continuous and discontinuous carbon tax functions, with/without carbon emission allowances, and with/without carbon rights purchase costs, to explore whether we can, under different carbon emission costs models, take into account both social environmental protection and green production while maximizing corporate profits. |
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