首页> 外文期刊>Journal of Cleaner Production >Evolutionary framework design in formulation of decision support models for production emissions and net profit of firm: Implications on environmental concerns of supply chains
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Evolutionary framework design in formulation of decision support models for production emissions and net profit of firm: Implications on environmental concerns of supply chains

机译:制定决策支持模型的进化框架设计,用于生产排放量和净利润:对供应链环境问题的影响

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摘要

There have been increased investments in cleaner technologies and adoption of a voluntarily limit on transportation emissions by the global firms to handle the environmental concerns of supply chains and to increase demand for finished goods. Consequences are the reduction in net profit for the firm. To address this trade-off between the net profit and environmental concerns, the formulation and optimization of a compact model are needed. Development of these models requires a thorough understanding of the nature of the impact of three inputs (investment coefficient, penalty per unit emission and customer's emission elasticity) on production emissions and net profit. Past studies revealed that a compact model comprising the interactive effect of these inputs on the production emissions and net profit is not yet formulated. Therefore, this study illustrates the development of an evolutionary framework of an advanced multi-gene genetic programming in the formulation of functional expressions for the net profit and production emissions based on the three inputs (investment coefficient, penalty per unit emission and customer's emission elasticity) of the monopolist firm. The sensitivity and parametric based 2-D analysis determine the relationships and found that the penalty per unit emission is dominant input for reducing emissions and maintaining net profit simultaneously. The contribution of this work lies in designing of an evolutionary framework in the development of empirical explicit expressions, which can easily be optimized analytically to keep production emissions and net profit balanced. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在更清洁的技术方面还增加了投资,并通过全球公司的运输排放量自愿限制供应链的环境问题,并增加对成品的需求。后果是该公司净利润的减少。为了解决净利润和环境问题之间的这种权衡,需要紧凑型型号的配方和优化。这些模型的发展需要彻底了解三个投入(投资系数,每单位排放和客户排放弹性)对生产排放和净利润的影响的性质。过去的研究表明,尚未制定包含这些投入对生产排放和净利润的互动效果的紧凑型模型。本研究说明了基于三个投入(投资系数,每单位排放和客户排放弹性的投资系数,每单位排放和销售弹性的投资系数,每单位排放和排放弹性的投资生产排放的功能表达式的高级多基因遗传编程的进化框架的发展垄断公司的公司。基于敏感性和参数分析确定了关系,发现每单位发射的罚款是减少排放和同时维持净利润的主导投入。这项工作的贡献在于设计在经验明确表达式的发展中的进化框架,这很容易经过分析优化,以保持生产排放和净利润平衡。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第10期|1136-1148|共13页
  • 作者单位

    Shantou Univ Minist Educ Intelligent Mfg Key Lab Shantou Peoples R China;

    Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan Hubei Peoples R China;

    Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan Hubei Peoples R China;

    Indian Inst Technol Ropar Dept Mech Engn Rupnagar 140001 India;

    Shantou Univ Minist Educ Intelligent Mfg Key Lab Shantou Peoples R China;

    Shantou Univ Minist Educ Intelligent Mfg Key Lab Shantou Peoples R China;

    Shantou Univ Coll Engn Guangdong Prov Key Lab Digital Signal & Image Pro Shantou 515063 Peoples R China;

    Indian Inst Technol Ropar Dept Mech Engn Rupnagar 140001 India;

    Univ Nottingham Malaysia Campus Dept Mech Mat & Mfg Engn Semenyih Selangor Malaysia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon emission; Production emissions; Emission elasticity; Green technology; Advanced multi-gene genetic programming;

    机译:碳排放;生产排放;排放弹性;绿色技术;先进的多基因遗传编程;

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