Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers
The lack of information and hybrid uncertainties in Supply Chain (SC) parameters affect managerial decisions. It is inevitable to consider random uncertainty based on fuzzy scenarios and cognitive uncertainty to model a Sustainable Closed-Loop SC (SCLSC) problem. Using Pentagonal Fuzzy Numbers (PFN...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2024-12-01
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| Series: | Transport |
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| Online Access: | https://tede.vgtu.lt/index.php/Transport/article/view/23099 |
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| author | Seyyed Jalaladdin Hosseini Dehshiri Maghsoud Amiri Mostafa Hajiaghaei-Keshteli Mehdi Keshavarz-Ghorabaee Edmundas Kazimieras Zavadskas Jurgita Antuchevičienė |
| author_facet | Seyyed Jalaladdin Hosseini Dehshiri Maghsoud Amiri Mostafa Hajiaghaei-Keshteli Mehdi Keshavarz-Ghorabaee Edmundas Kazimieras Zavadskas Jurgita Antuchevičienė |
| author_sort | Seyyed Jalaladdin Hosseini Dehshiri |
| collection | DOAJ |
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The lack of information and hybrid uncertainties in Supply Chain (SC) parameters affect managerial decisions. It is inevitable to consider random uncertainty based on fuzzy scenarios and cognitive uncertainty to model a Sustainable Closed-Loop SC (SCLSC) problem. Using Pentagonal Fuzzy Numbers (PFNs) has higher comprehensiveness and accuracy than triangular and trapezoidal fuzzy numbers due to taking into account higher uncertainty, less lack of information, and taking into account maximum subjectivity Decision-Makers (DMs). There is a gap in the literature regarding the use of PFNs in SCLSC problems. This research presents a new model using PFNs to solve deficiencies in stochastic-possibilistic programming. Developing a Robust Stochastic-Possibilistic (RSP) based on PFNs under fuzzy scenarios, presenting measures of necessity, possibility, and credibility for making decisions founded on different levels of DMs’ risk, and proposing global solutions through providing linear programming models are the main innovations and contributions of the present research. An actual case study evaluates the presented approach to reduce the cost and carbon pollution in the stone paper SC. In the suggested method, trade-offs could be formed between the mean of objective functions and risk by modifying the robustness coefficients. According to the proposed approach, an optimal value of confidence is specified. Additionally, robustness deviations are controlled in the model, which results in more accurate and reliable results. Numerical simulations confirmed the efficacy of the robust approach proposed.
First published online 7 February 2025
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| format | Article |
| id | doaj-art-76adbd2ac83342be864605ecbc9932cf |
| institution | Kabale University |
| issn | 1648-4142 1648-3480 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Transport |
| spelling | doaj-art-76adbd2ac83342be864605ecbc9932cf2025-02-07T16:30:30ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802024-12-0139410.3846/transport.2024.23099Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbersSeyyed Jalaladdin Hosseini Dehshiri0Maghsoud Amiri1Mostafa Hajiaghaei-Keshteli2Mehdi Keshavarz-Ghorabaee3Edmundas Kazimieras Zavadskas4Jurgita Antuchevičienė5Dept of Industrial Management, Allameh Tabataba’i University, Tehran, IranDept of Industrial Management, Allameh Tabataba’i University, Tehran, IranDept of Industrial Engineering, Monterrey Institute of Technology and Higher Education, Puebla, MexicoDept of Management, Gonbad Kavous University, Gonbad Kavous, IranInstitute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, LithuaniaDept of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania The lack of information and hybrid uncertainties in Supply Chain (SC) parameters affect managerial decisions. It is inevitable to consider random uncertainty based on fuzzy scenarios and cognitive uncertainty to model a Sustainable Closed-Loop SC (SCLSC) problem. Using Pentagonal Fuzzy Numbers (PFNs) has higher comprehensiveness and accuracy than triangular and trapezoidal fuzzy numbers due to taking into account higher uncertainty, less lack of information, and taking into account maximum subjectivity Decision-Makers (DMs). There is a gap in the literature regarding the use of PFNs in SCLSC problems. This research presents a new model using PFNs to solve deficiencies in stochastic-possibilistic programming. Developing a Robust Stochastic-Possibilistic (RSP) based on PFNs under fuzzy scenarios, presenting measures of necessity, possibility, and credibility for making decisions founded on different levels of DMs’ risk, and proposing global solutions through providing linear programming models are the main innovations and contributions of the present research. An actual case study evaluates the presented approach to reduce the cost and carbon pollution in the stone paper SC. In the suggested method, trade-offs could be formed between the mean of objective functions and risk by modifying the robustness coefficients. According to the proposed approach, an optimal value of confidence is specified. Additionally, robustness deviations are controlled in the model, which results in more accurate and reliable results. Numerical simulations confirmed the efficacy of the robust approach proposed. First published online 7 February 2025 https://tede.vgtu.lt/index.php/Transport/article/view/23099closed-loop supply chainpossibilistic programmingfuzzy scenariosrobust approachsustainable designstochastic programming |
| spellingShingle | Seyyed Jalaladdin Hosseini Dehshiri Maghsoud Amiri Mostafa Hajiaghaei-Keshteli Mehdi Keshavarz-Ghorabaee Edmundas Kazimieras Zavadskas Jurgita Antuchevičienė Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers Transport closed-loop supply chain possibilistic programming fuzzy scenarios robust approach sustainable design stochastic programming |
| title | Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers |
| title_full | Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers |
| title_fullStr | Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers |
| title_full_unstemmed | Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers |
| title_short | Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers |
| title_sort | designing a sustainable closed loop supply chain using robust possibilistic stochastic programming in pentagonal fuzzy numbers |
| topic | closed-loop supply chain possibilistic programming fuzzy scenarios robust approach sustainable design stochastic programming |
| url | https://tede.vgtu.lt/index.php/Transport/article/view/23099 |
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