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Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques

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  • Wen-Hsien Tsai

    (Department of Business Administration, National Central University, 300, Jhongda Rd., Jhongli, Taoyuan 32001, Taiwan)

Abstract

The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and finally achieving a maximization of profit. The main contributions of this research are using mathematical programming approach to formulate the decision model with ABC cost data and TOC constraints for the textile companies and clarifying the relation between mathematical programming models and Industry 4.0 techniques. Managers in the textile companies can apply this decision model to achieve the optimal product-mix under various constraints and to evaluate the effect on profit of carbon emissions, energy recycling, waste reuse, and material quantity discount.

Suggested Citation

  • Wen-Hsien Tsai, 2018. "Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques," Energies, MDPI, vol. 11(8), pages 1-24, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2072-:d:162719
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    Cited by:

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    2. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    3. Chu-Lun Hsieh & Wen-Hsien Tsai & Yao-Chung Chang, 2020. "Green Activity-Based Costing Production Decision Model for Recycled Paper," Energies, MDPI, vol. 13(10), pages 1-23, May.
    4. Katarzyna Grzybowska, 2021. "Identification and Classification of Global Theoretical Trends and Supply Chain Development Directions," Energies, MDPI, vol. 14(15), pages 1-19, July.
    5. Lulu Xin & Shuai Lang & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach," Operations Management Research, Springer, vol. 15(3), pages 773-792, December.
    6. Kazancoglu, Yigit & Sezer, Muruvvet Deniz & Ozkan-Ozen, Yesim Deniz & Mangla, Sachin Kumar & Kumar, Ajay, 2021. "Industry 4.0 impacts on responsible environmental and societal management in the family business," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    7. Wen-Hsien Tsai, 2023. "Balancing Profit and Environmental Sustainability with Carbon Emissions Management and Industry 4.0 Technologies," Energies, MDPI, vol. 16(17), pages 1-30, August.
    8. Wen-Hsien Tsai & Yin-Hwa Lu, 2018. "A Framework of Production Planning and Control with Carbon Tax under Industry 4.0," Sustainability, MDPI, vol. 10(9), pages 1-24, September.

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