Minimizing energy consumption via multiple installations aggregate production planning

被引:0
作者
Nitin Dutt Chaturvedi
机构
[1] Indian Institute of Technology Patna,Department of Chemical and Biochemical Engineering
来源
Clean Technologies and Environmental Policy | 2017年 / 19卷
关键词
Aggregate production planning; Pinch analysis; Energy conservation; Multiple installations; Sustainable production planning;
D O I
暂无
中图分类号
学科分类号
摘要
As most of the energy in today’s scenario is still relied on fossil fuels and it causes a negative impact on the environment, hence energy saving should be considered as an important element of production planning. However, energy-efficient production planning should also be cost-efficient. There are technologies that are expected to become affordable in due time frame. Such affordability and expected technology advancements can be included in production planning using multiple installations of production facilities. In this paper, an insight-based graphical method is proposed for multiple installations aggregate production planning that minimizes energy consumption of production facilities. The methodology is capable of accounting capital cost affordability as well. Application of the proposed methodology on illustrative examples demonstrates that significant energy reduction can be achieved by multiple installations production planning.
引用
收藏
页码:1977 / 1984
页数:7
相关论文
共 91 条
  • [1] Albino V(2002)Input–output models for the analysis of a local/global supply chain Int J Prod Econ 78 119-131
  • [2] Izzo C(2016)Cost optimal energy sector planning: a pinch analysis approach J Clean Prod 136 246-253
  • [3] Kühtz S(2017)Optimal green energy planning for sustainable development: a review Renew Sustain Energy Rev 71 796-813
  • [4] Bandyopadhyay S(2000)Supply chain optimization in continuous flexible process networks Ind Eng Chem Res 39 1279-1290
  • [5] Desai NB(2015)Targeting aggregate production planning for an energy supply chain Ind Eng Chem Res 54 6941-6949
  • [6] Bhowmik C(2016)Automated targeting model for aggregate planning in production and energy supply chains Clean Technol Environ Policy 18 1405-1414
  • [7] Bhowmik S(2008)A heuristic-based algebraic targeting technique for aggregate planning in supply chains Comput Chem Eng 32 2217-2232
  • [8] Ray A(2006)Integrated technique assessment based on the pinch analysis approach for the design of production networks Eur J Oper Res 171 1020-1032
  • [9] Pandey KM(2012)Sustainability of manufacturing and services: investigations for research and applications Int J Prod Econ 140 35-47
  • [10] Bok J-K(2013)A review of engineering research in sustainable manufacturing J Manuf Sci Eng 135 41013-21