OpenLB
Open Library of Bioscience
Advanced Search
Environmental science and pollution research international
Oct 23, 2021;

A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem.

Parisa Rafigh, Ali Akbar Akbari, Hadi Mohammadi Bidhendi, Ali Husseinzadeh Kashan
Author Information
  1. Parisa Rafigh: Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
  2. Ali Akbar Akbari: Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran. A_akbari@azad.ac.ir.
  3. Hadi Mohammadi Bidhendi: Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
  4. Ali Husseinzadeh Kashan: Faculty of Industrial and Systems Engineering, Tarbiat Modarres University, Tehran, Iran.
PMID: 34687418 DOI: 10.1007/s11356-021-17015-2

Abstract

Multi-criterion decision-making models are widely used in supplier selection problems. This study contributes to a green supplier selection problem considering the green manufacturing, green transportation, and green procurement. This study contributes to reverse logistics, eco-design, reusing, recycling, and remanufacturing with their high impact on the industries. In addition to the logistics costs and transportation costs, the carbon emissions are considered. With regard to the game theory, this paper uses a cooperative green supplier selection model. If transportation requirements of two or more companies are combined, it will help manufacturers to have less [Formula: see text] emissions with lower cost. After creating the optimization model to consider the uncertainty, this cooperative game theory model is established in a fuzzy environment. In this regard, a fuzzy rule-based (FRB) system is deployed and the set of fuzzy IF-THEN rules is considered. The proposed FRB model is contributed for the first time in the area of green supplier selection problem. Finally, some sensitivity analyses are conducted in a numerical example to evaluate the proposed model. With regard to the findings, although the cost of CO2 emission of horizontal cooperation is increased, the cost saving of companies is increased. It means our total cost is optimal in a logistic network using the cooperative game theory. The results also indicate that horizontal cooperation in logistic network causes less cost and benefits for each company.

Keywords

CO 2 emissions Cooperative game theory Fuzzy rule-base system Green supplier selection

References

  1. Abioye OF, Dulebenets MA, Pasha J, Kavoosi M (2019) A vessel schedule recovery problem at the liner shipping route with emission control areas. Energies 12(12):2380 [DOI: 10.3390/en12122380]
  2. Adom PK, Kwakwa PA, Amankwaa A (2018) The long-run effects of economic, demographic, and political indices on actual and potential CO2 emissions. J Environ Manage 218:516–526 [DOI: 10.1016/j.jenvman.2018.04.090]
  3. Al-Sheyadi A, Muyldermans L, Kauppi K (2019) The complementarity of green supply chain management practices and the impact on environmental performance. J Environ Manage 242:186–198 [DOI: 10.1016/j.jenvman.2019.04.078]
  4. Ali SM, Paul SK, Chowdhury P, Agarwal R, Fathollahi-Fard AM, Jabbour CJC, Luthra S (2021) Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example. Exp Syst App 173:114690 [DOI: 10.1016/j.eswa.2021.114690]
  5. Andersson FN, Opper S, Khalid U (2018) Are capitalists green? Firm ownership and provincial CO2 emissions in China. Energy Policy 123:349–359 [DOI: 10.1016/j.enpol.2018.08.045]
  6. Beresteanu A, Li S (2011) Gasoline prices, government support, and the demand for hybrid vehicles in the United States. Int Econ Rev 52(1):161–182 [DOI: 10.1111/j.1468-2354.2010.00623.x]
  7. Collins, B. C., & Kumral, M. (2020). Game theory for analyzing and improving environmental management in the mining industry. Resources Policy, 69, 101860
  8. Dong W, Yang Q, Fang X, Ruan W (2021) Adaptive optimal fuzzy logic-based energy management in multi-energy microgrid considering operational uncertainties. App Soft Comput 98:106882 [DOI: 10.1016/j.asoc.2020.106882]
  9. Dulebenets MA (2018) A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping. Int J Prod Econ 196:293–318 [DOI: 10.1016/j.ijpe.2017.10.027]
  10. Fathollahi-Fard AM, Hajiaghaei-Keshteli M, Tavakkoli-Moghaddam R (2018) The social engineering optimizer (SEO). Eng Appl Artif Intell 72:267–293. https://doi.org/10.1016/j.engappai.2018.04.009 [DOI: 10.1016/j.engappai.2018.04.009]
  11. Fathollahi-Fard AM, Ahmadi A, Mirzapour Al-e-Hashem SMJ (2020) Sustainable Closed-loop Supply Chain Network for an Integrated Water Supply and Wastewater Collection System under Uncertainty. J Environ Manage 275:111277 [DOI: 10.1016/j.jenvman.2020.111277]
  12. Fathollahi-Fard AM, Hajiaghaei-Keshteli M, Mirjalili S (2020) A set of efficient heuristics for a home healthcare problem. Neural Comput Appl 32(10):6185–6205. https://doi.org/10.1007/s00521-019-04126-8 [DOI: 10.1007/s00521-019-04126-8]
  13. Fathollahi-Fard AM, Hajiaghaei-Keshteli M, Tian G, Li Z (2020) An adaptive Lagrangian relaxation-based algorithm for a coordinated water supply and wastewater collection network design problem. Inf Sci 512:1335–1359. https://doi.org/10.1016/j.ins.2019.10.062 [DOI: 10.1016/j.ins.2019.10.062]
  14. Fathollahi-Fard AM, Hajiaghaei-Keshteli M, Tavakkoli-Moghaddam R (2020) Red deer algorithm (RDA): a new nature-inspired meta-heuristic. Soft Comput 24:14637–14665. https://doi.org/10.1007/s00500-020-04812-z [DOI: 10.1007/s00500-020-04812-z]
  15. Fathollahi-Fard AM, Woodward L, Akhrif O (2021) Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept. J Ind Inf Integr. https://doi.org/10.1016/j.jii.2021.100233 [DOI: 10.1016/j.jii.2021.100233]
  16. Fallahpour, A., Nayeri, S., Sheikhalishahi, M., Wong, K. Y., Tian, G., & Fathollahi-Fard, A. M. (2021). A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry. Environmental Science and Pollution Research, 1–21
  17. Gholizadeh, H., Fazlollahtabar, H., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2021). Preventive maintenance for the flexible flowshop scheduling under uncertainty: a waste-to-energy system. Environmental Science and Pollution Research, 1–20
  18. Hafezalkotob A (2015) Competition of two green and regular supply chains under environmental protection and revenue seeking policies of government. Comput Ind Eng 82:103–114 [DOI: 10.1016/j.cie.2015.01.016]
  19. Islam MR, Ali SM, Fathollahi-Fard AM, Kabir G (2021) A novel particle swarm optimization-based grey model for the prediction of warehouse performance. J Comput Design Eng. https://doi.org/10.1093/jcde/qwab009 [DOI: 10.1093/jcde/qwab009]
  20. Javad MOM, Darvishi M, Javad AOM (2020) Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustain Futures 2:100012 [DOI: 10.1016/j.sftr.2020.100012]
  21. Kellner F, Otto A (2012) Allocating CO2 emissions to shipments in road freight transportation. J Manag Control 22(4):451–479 [DOI: 10.1007/s00187-011-0143-6]
  22. Khalili-Damghani K, Sadi-Nezhad S (2013) A decision support system for fuzzy multi-objective multi-period sustainable project selection. Comput Ind Eng 64(4):1045–1060 [DOI: 10.1016/j.cie.2013.01.016]
  23. Khalili-Damghani K, Sadi-Nezhad S (2013) A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection. Appl Soft Comput 13(1):339–352 [DOI: 10.1016/j.asoc.2012.07.030]
  24. Khalili-Damghani K, Tavana M, Amirkhan M (2014) A fuzzy bi-objective mixed-integer programming method for solving supply chain network design problems under ambiguous and vague conditions. Int J Adv Manufact Technol 73(9–12):1567–1595 [DOI: 10.1007/s00170-014-5891-7]
  25. Li L, Zhang RQ (2015) Cooperation through capacity sharing between competing forwarders. Transport Res Part e: Logistics Transport Rev 75:115–131 [DOI: 10.1016/j.tre.2014.11.003]
  26. Li, G., Fan, H., Lee, P. K., & Cheng, T. C. E. (2015). Joint supply chain risk management: An agency and collaboration perspective. International Journal of Production Economics, 164: 83–94
  27. Lin DY, Juan CJ, Ng M (2021) Evaluation of green strategies in maritime liner shipping using evolutionary game theory. J Clean Prod 279:123268 [DOI: 10.1016/j.jclepro.2020.123268]
  28. Loganathan N, Mursitama TN, Pillai LLK, Khan A, Taha R (2020) The effects of total factor of productivity, natural resources and green taxation on CO 2 emissions in Malaysia. Environ Sci Pollut Res 27(36):45121–45132 [DOI: 10.1007/s11356-020-10291-4]
  29. Lozano S (2012) Information sharing in DEA: A cooperative game theory approach. Eur J Oper Res 222(3):558–565 [DOI: 10.1016/j.ejor.2012.05.014]
  30. Lozano S, Moreno P, Adenso-Díaz B, Algaba E (2013) Cooperative game theory approach to allocating benefits of horizontal cooperation. Eur J Oper Res 229(2):444–452 [DOI: 10.1016/j.ejor.2013.02.034]
  31. Lozano-Diez, J., Marmolejo-Saucedo, J., & Rodriguez-Aguilar, R. (2020). Designing a resilient supply chain: An approach to reduce drug shortages in epidemic outbreaks. EAI Endorsed Transactions on Pervasive Health and Technology, 6(21), e2
  32. Mohammadi M, Gheibi M, Fathollahi-Fard AM, Eftekhari M, Kian Z, Tian G (2021) A hybrid computational intelligence approach for bioremediation of amoxicillin based on fungus activities from soil resources and aflatoxin B1 controls. Journal of Environmental Management 299:113594 [DOI: 10.1016/j.jenvman.2021.113594]
  33. Mojtahedi, M., Fathollahi-Fard, A. M., Tavakkoli-Moghaddam, R., & Newton, S. (2021). Sustainable Vehicle Routing Problem for Coordinated Solid Waste Management. Journal of Industrial Information Integration, 100220
  34. Moosavi, J., Naeni, L. M., Fathollahi-Fard, A. M., & Fiore, U. (2021). Blockchain in supply chain management: a review, bibliometric, and network analysis. Environmental Science and Pollution Research, 1–15
  35. Mu, Y., Huang, L., & Wang, H. (2012). Financial hedging in a three-echelon global supply chain in presence of spot market. In ICSSSM12 (pp. 204–209). IEEE
  36. Mu Y, Liu X, Wang L, Zhou J (2020) A parallel fuzzy rule-base based decision tree in the framework of map-reduce. Pattern Recognition 103:107326 [DOI: 10.1016/j.patcog.2020.107326]
  37. Nejatian, A., Makian, M., Gheibi, M., & Fathollahi-Fard, A. M. (2021). A Novel Viewpoint to the Green City Concept Based on Vegetation Area Changes and Contributions to Healthy Days: A Case Study of Mashhad, Iran. Environmental Science and Pollution Research, 1–10
  38. Pasha J, Dulebenets MA, Fathollahi-Fard AM, Tian G, Lau YY, Singh P, Liang B (2021) An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations. Advanced Eng Inform 48:101299 [DOI: 10.1016/j.aei.2021.101299]
  39. Peng B, Wang Y, Elahi E, Wei G (2019) Behavioral game and simulation analysis of extended producer responsibility system’s implementation under environmental regulations. Environ Sci Pollut Res 26(17):17644–17654 [DOI: 10.1007/s11356-019-05215-w]
  40. Rafigh, P., Akbari, A. A., Bidhandi, H. M., & Kashan, A. H. (2021). Sustainable closed-loop supply chain network under uncertainty: a response to the COVID-19 pandemic. Environmental Science and Pollution Research, 1–17
  41. Ryu, H., Kim, Y., Jang, P., & Aldana, S. (2020). Restructuring and Reliability in the Electricity Industry of OECD Countries: Investigating Causal Relations between Market Reform and Power Supply. Energies, 13(18), 4746
  42. Safaeian M, Fathollahi-Fard AM, Tian G, Li Z, Ke H (2019) A multi-objective supplier selection and order allocation through incremental discount in a fuzzy environment. Journal of Intelligent & Fuzzy Systems 37(1):1435–1455 [DOI: 10.3233/JIFS-182843]
  43. Sarkis J, Zhu Q, Lai KH (2011) An organizational theoretic review of green supply chain management literature. Int J Prod Econ 130(1):1–15 [DOI: 10.1016/j.ijpe.2010.11.010]
  44. Selvaraj A, Saravanan S, Jennifer JJ (2020) Mamdani fuzzy based decision support system for prediction of groundwater quality: an application of soft computing in water resources. Environ Sci Pollut Res 27(20):25535–25552 [DOI: 10.1007/s11356-020-08803-3]
  45. Song Y, Zhang X, Zhang M (2020) Research on the strategic interaction of China’s regional air pollution regulation: spatial interpretation of “incomplete implementation” of regulatory policies. Environ Sci Pollut Res 27(34):42557–42570 [DOI: 10.1007/s11356-020-10180-w]
  46. Tavana M, Khalili-Damghani K (2014) A new two-stage Stackelberg fuzzy data envelopment analysis model. Measurement 53:277–296 [DOI: 10.1016/j.measurement.2014.03.030]
  47. Theophilus, O., Dulebenets, M. A., Pasha, J., Lau, Y. Y., Fathollahi-Fard, A. M., & Mazaheri, A. (2021). Truck Scheduling Optimization at a Cold-Chain Cross-Docking Terminal with Product Perishability Considerations. Computers & Industrial Engineering, 107240
  48. Tippayawong KY, Niyomyat N, Sopadang A, Ramingwong S (2016) Factors affecting green supply chain operational performance of the thai auto parts industry. Sustainability 8(11):1161 [DOI: 10.3390/su8111161]
  49. Üçler N, Engin GO, Köçken HG, Öncel MS (2015) Game theory and fuzzy programming approaches for bi-objective optimization of reservoir watershed management: a case study in Namazgah reservoir. Environ Sci Pollut Res 22(9):6546–6558 [DOI: 10.1007/s11356-015-4181-8]
  50. Ummalla M, Samal A (2018) The impact of hydropower energy consumption on economic growth and CO 2 emissions in China. Environ Sci Pollut Res 25(35):35725–35737 [DOI: 10.1007/s11356-018-3525-6]
  51. Yazdani, M., Kabirifar, K., Fathollahi-Fard, A. M., & Mojtahedi, M. (2021). Production scheduling of off-site prefabricated construction components considering sequence dependent due dates. Environmental Science and Pollution Research, 1–17
  52. Yu H, Dai H, Tian G, Wu B, Xie Y, Zhu Y, Zhang T, Fathollahi-Fard AM, He Q, Tang H (2021) Key technology and application analysis of quick coding for recovery of retired energy vehicle battery. Renew Sustain Energy Rev 135:110129. https://doi.org/10.1016/j.rser.2020.110129 [DOI: 10.1016/j.rser.2020.110129]
  53. Wang X, Kopfer H (2015) Rolling horizon planning for a dynamic collaborative routing problem with full-truckload pickup and delivery requests. Flex Serv Manuf J 27(4):509–533 [DOI: 10.1007/s10696-015-9212-8]
  54. Wang W, Tian G, Zhang T, Jabarullah NH, Li F, Fathollahi-Fard AM, Li Z (2021) Scheme selection of design for disassembly (DFD) based on sustainability: A novel hybrid of interval 2-tuple linguistic intuitionistic fuzzy numbers and regret theory. Journal of Cleaner Production 281:124724 [DOI: 10.1016/j.jclepro.2020.124724]
  55. Zhang C, Tian G, Fathollahi-Fard AM, Li Z (2020) Interval-valued Intuitionistic Uncertain Linguistic Cloud Petri Net and its Application in Risk Assessment for Subway Fire Accident. IEEE Trans Autom Sci Eng. https://doi.org/10.1109/TASE.2020.3014907 [DOI: 10.1109/TASE.2020.3014907]
  56. Zhao R, Han J, Zhong S, Huang Y (2018) Interaction between enterprises and consumers in a market of carbon-labeled products: a game theoretical analysis. Environ Sci Pollut Res 25(2):1394–1404 [DOI: 10.1007/s11356-017-0595-9]
  57. Zhou G, Cao Y, Jin Y, Wang C, Wang Y, Hua C, Wu S (2020) Novel selective adsorption and photodegradation of BPA by molecularly imprinted sulfur doped nano-titanium dioxide. Journal of Cleaner Production 274:122929 [DOI: 10.1016/j.jclepro.2020.122929]
Journal Article

Word Cloud

Created with Highcharts 10.0.0greensupplierselectionmodelcostgametheorycooperativefuzzyproblemtransportationemissionsregardstudycontributeslogisticscostsconsideredcompanieslessrule-basedFRBsystemproposedhorizontalcooperationincreasedlogisticnetworkMulti-criteriondecision-makingmodelswidelyusedproblemsconsideringmanufacturingprocurementreverseeco-designreusingrecyclingremanufacturinghighimpactindustriesadditioncarbonpaperusesrequirementstwocombinedwillhelpmanufacturers[Formula:seetext]lowercreatingoptimizationconsideruncertaintyestablishedenvironmentdeployedsetIF-THENrulescontributedfirsttimeareaFinallysensitivityanalysesconductednumericalexampleevaluatefindingsalthoughCO2emissionsavingmeanstotaloptimalusingresultsalsoindicatecausesbenefitscompanymulti-criterionapproachCO2CooperativeFuzzyrule-baseGreen

Similar Articles

Cited By