A sustainable production model for waste management with uncertain scrap and recycled material

被引:0
作者
Anand Chauhan
Nagendra Kumar Sharma
Shilpy Tayal
Vimal Kumar
Manish Kumar
机构
[1] Graphic Era University,Department of Mathematics
[2] Graphic Era University,Department of Management Studies
[3] Chaoyang University of Technology,Department of Business Administration
[4] Graphic Era Hill University,Department of Mathematics
[5] Chaoyang University of Technology,Department of Information Management
[6] Graphic Era Hill University,Department of Management Studies
来源
Journal of Material Cycles and Waste Management | 2022年 / 24卷
关键词
Sustainable production; Recycling; Waste management; Fuzzy control; Optimization technique;
D O I
暂无
中图分类号
学科分类号
摘要
The studies highlightthat only one billion tons were obtained out of four billion tons of solid waste in the world and small value recovered out of it. In such a way, indeed, there is still a wide scope in collecting and converting the waste into value. In the industrial set-up because for various reasons, the production process is not optimum towards the conversion of resources into value. Hence, some defective items are also produced during production, which is a kind of waste for a firm. The firm manages such wastes by selling them into the secondary market at lower prices. To deal with the waste, firm also collects the used products from the customer under the circular economy concept. Later, these used collected products were recycled and used raw material for further production. The way to collect the used product from the market and to use them again as raw material is a remarkable effort to reduce waste. The objective of the research is to optimize the unit time profit and the expected resultant costs by considering the concept of recycling waste in the fuzzy environment for the imperfect production process. The sustainable production model is developed with the system cost with the fuzzy approach and validated the model with an illustration. The unit time profit has been maximized with the help of an analytical approach. A sensitivity analysis is also performed to check the stability of the model and the model is found to be quite stable. The evaluation of the fuzzy system cost may provide the decision maker’s information regarding the system’s behavior uncertainties.
引用
收藏
页码:1797 / 1817
页数:20
相关论文
共 292 条
  • [1] Gupta S(1998)Solid waste management in India: options and opportunities Resour Conserv Recycl 24 137-154
  • [2] Mohan K(2019)Stakeholder perceptions of marine plastic waste management in the United Kingdom Ecol Econ 163 77-87
  • [3] Prasad R(2019)3Rs Policy and plastic waste management in Thailand J Mater Cycles Waste Manage 21 10-22
  • [4] Gupta S(2006)Vermicomposting of different types of waste using Biores Technol 97 391-395
  • [5] Kansal A(2004): a comparative study J Clean Prod 12 725-736
  • [6] McNicholas G(2019)Government policies for encouraging industrial waste reuse and pollution prevention in Taiwan J Clean Prod 218 896-919
  • [7] Cotton M(2019)Mathematical and analytical approach for the management of defective items in a multi-stage production system Int J Syst Assur Eng Manag 10 1010-1022
  • [8] Wichai-utcha N(2019)Influence of abattoir waste management practices on natural environment conservation Resour Conserv Recycl 149 413-426
  • [9] Chavalparit O(2020)Review of high-value food waste and food residues biorefineries with focus on unavoidable wastes from processing J Environ Manage 261 96-107
  • [10] Garg P(2019)The environmental impacts of municipal solid waste landfills in Europe: a life cycle assessment of proper reference cases to support decision making Waste Manage 96 705-714