Impact of green technology and flexible production on multi-stage economic production rate (EPR) inventory model with imperfect production and carbon emissions

被引:0
作者
Mahata, Sourav [1 ]
Debnath, Bijoy Krishna [1 ]
机构
[1] Tezpur Univ, Sch Engn, Dept Appl Sci, Sonitpur 784028, Assam, India
关键词
Inventory; Imperfect production system; Multi-stage production; Green technology investment; Flexible production rate; CAP-AND-TRADE; REDUCTION STRATEGIES; SUPPLY CHAIN; QUALITY; INVESTMENT; SYSTEM; TAX;
D O I
10.1016/j.jclepro.2025.145187
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates an imperfect multi-stage production inventory system for a single product comprising two components: a packaging container and internal items. Each component is produced at a flexible production rate in separate manufacturing units. During the production of packaging containers, defective items are also produced. The carbon emissions in the inventory cycle are proportional to the production rate, and this study introduces a carbon emission function that depends on the production rate. If the manufacturer operates at the maximum production rate, the overall inventory cycle time decreases, but the carbon emissions increase, leading to higher carbon taxes and total costs. Thus, a trade-off exists between the production rate and the total cost. To mitigate carbon emissions, manufacturers invest in green technology, and this study incorporates a modified carbon emission reduction function dependent on green technology investment. The research aims to optimize the cost of green technology and the production rates for both components to minimize carbon emissions and total costs in the production line. Additionally, the paper explores all possible scenarios that could arise based on the relationship between the production rate and the overall cost for various cases. Hence, the seventh scenario is identified as the most suitable option for the manufacturer. The findings indicate that maintaining optimal production rates for both components and investing in green technology significantly reduces carbon emissions and lowers total costs. Specifically, the investment in green technology for example I, the maximum possible reduction in carbon emissions can reach up to 351%. For example II, the maximum reduction in carbon emissions can be up to 339.40%. As a result, the manufacturer pays less carbon tax, which reduces the total cost by 365.82% for example I and 72.31% for example II. This substantial reduction in carbon emissions contributes to a decreased carbon footprint, thereby supporting global efforts to combat climate change and promoting environmental sustainability. This indicates better results compared to the existing literature, as this paper incorporates more realistic assumptions than those found in previous studies. The study provides managerial insights for manufacturers in the numerical section, offering a numerical example and sensitivity analysis on various parameters using MATLAB software.
引用
收藏
页数:41
相关论文
共 82 条
  • [1] A hybrid optimization method to design a sustainable resilient supply chain in a perishable food industry
    Abbasian, Mahyar
    Sazvar, Zeinab
    Mohammadisiahroudi, Mohammadhossein
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (03) : 6080 - 6103
  • [2] A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate
    AlDurgam, Mohammad
    Adegbola, Kehinde
    Glock, Christoph H.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 191 : 335 - 350
  • [3] A Generalized Production-Inventory Model with Variable Production, Demand, and Cost Rates
    Alfares, Hesham K.
    Ghaithan, Ahmed M.
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (03) : 3963 - 3978
  • [4] Environmental subsidy and the choice of green technology in the presence of green consumers
    Bi, Gongbing
    Jin, Minyue
    Ling, Liuyi
    Yang, Feng
    [J]. ANNALS OF OPERATIONS RESEARCH, 2017, 255 (1-2) : 547 - 568
  • [5] Chaudhary R., 2023, Decision Analytics Journal, V7
  • [6] An application of control theory for imperfect production problem with carbon emission investment policy in interval environment
    Das, Subhajit
    Mondal, Rajan
    Shaikh, Ali Akbar
    Bhunia, Asoke Kumar
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (05): : 1925 - 1970
  • [7] Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management
    Dey, Bikash Koli
    Bhuniya, Shaktipada
    Sarkar, Biswajit
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2021, 184
  • [8] Dolle K., 2022, J. Mater. Sci. Res. Rev., V10, P38
  • [9] Gautam P., 2020, Yugosl. J. Oper. Res., V30, P307
  • [10] Sustainable production inventory model with greening degree and dual determinants of defective items
    Gautam, Prerna
    Maheshwari, Sumit
    Jaggi, Chandra K.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 367