An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection: A case on manufacturing industry

Computers and Industrial Engineering

Volumn 88, Issue , 2015, Pages 1-12

  Orji, Ifeyinwa Juliet ^a   Wei, Sun ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Fuzzy logic; Supplier selection; Sustainability; Systems dynamics

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER CIRCUITS; DECISION MAKING; DECISION SUPPORT SYSTEMS; FUZZY LOGIC; RECONFIGURABLE HARDWARE; SUPPLY CHAINS; SYSTEM THEORY;

INTEGRATING INFORMATION; MANUFACTURING INDUSTRIES; MULTI-CRITERIA DECISION-MAKING MODELS; SUPPLIER SELECTION; SUSTAINABILITY PERFORMANCE; SUSTAINABLE SUPPLIER SELECTIONS; SYSTEM DYNAMICS SIMULATION; SYSTEMS DYNAMICS;

SUSTAINABLE DEVELOPMENT;

EID: 84992222013     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2015.06.019     Document Type: Article

References (58)

1. Aghajani, H., Ahmadpour, M., Application of fuzzy TOPSIS for ranking suppliers of supply chain in automobile manufacturing companies in Iran. Fuzzy Information and Engineering 3:4 (2011), 433–444.
2. Akhtar, M. H., Simonovic, S. P., Wibe, P., MacGee, J., & Davies, J. (2011). An integrated system dynamics model for analyzing behavior of the social-energy-economic-climatic system: User's manual. Report no: 076. Water resources research report.
3. Amin, S.H., Zhang, G., An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach. Expert Systems with Applications 39 (2012), 6782–6791.
4. Amindoust, A., Ahmed, S., Saghafinia, A., Bahreininejad, A., Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing 12:6 (2012), 1668–1677.
5. Awasthi, A., Chauhan, S.S., Goyal, S.K., A fuzzy multi criteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics 126:2 (2010), 370–378.
6. Azadnia, A.H., Saman, M.Z.M., Wong, K.Y., Sustainable supplier selection and order lot-sizing: An integrated multi-objective decision-making process. International Journal of Production Research 53:2 (2015), 383–408.
7. Bai, C., & Sarkis, J. (2009). Supplier selection and sustainability: A grey rough set evaluation. Working paper no. 2009-05.
8. Bayrak, M.Y., Celebi, N., Taskin, H., A fuzzy approach method for supplier selection. Production Planning and Control: The Management of Operations 18:1 (2007), 54–63.
9. Belhajali, I., Hachicha, W., System dynamics simulation to determine safety stock for a single-stage inventory system. 2013, IEEE, 10.1109/ICAdLT.2013.6568507.
10. Bevilacqua, M., Petroni, A., From traditional purchasing to supplier management: A fuzzy logic-based approach to supplier selection. International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management 5:3 (2002), 235–255.
11. Bewley, K., Li, Y., Disclosure of environmental information by Canadian manufacturing companies: A voluntary disclosure perspective. Advances in Environmental Accounting & Management 1 (2000), 201–226.
12. Bottani, E., Rizzi, A., An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction. International Journal of Production Economics 111 (2008), 763–781.
13. Briano, E., Caballini, C., Giribone, P., & Revetria, R. (2010). Using system dynamics for short life cycle supply chain evaluation. In Proceedings of winter simulation conference.
14. Büyüközkan, G., Çifçi, G., A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Computers in Industry 62:2 (2011), 164–174.
15. Campanella, G., Pereira, A., Ribeiro, R.A., Varela, L.R., Collaborative dynamic decision making: A case study from B2B supplier selection. Hernández, J.E., Zarate, P., Dargam, F., Delibasic, B., Liu, S., Ribeiro, R., (eds.) Decision support systems – Collaborative models and approaches in real environments, 2012, Springer, Berlin, 88–102, 10.1007/978-3-642-32191-7_7.
16. Campanella, G., Ribeiro, R.A., A framework for dynamic multiple criteria decision making. Decision Support Systems 52:1 (2011), 52–60, 10.1016/j.dss.2011.05.003.
17. Chang, B., Chang, C.-W., Wu, C.-H., Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications: An International Journal 38:3 (2011), 1850–1858.
18. Chen, C.M., A fuzzy-based decision-support model for rebuy procurement. International Journal of Production Economics 122 (2009), 714–724.
19. De Boer, L., Labro, E., Morlacchi, P., A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management 7 (2001), 75–89.
20. Elsawah, S., Haase, D., Delden, H., Pierce, S., Elmahdi, A., Voinovo, A. A., et al. (2012). Using system dynamics for environmental modelling: Lessons learnt from six case studies. In International environmental modelling and software society (iEMSs). International congress on environmental modelling and software managing resources of a limited planet.
21. Foerstl, K., Reuter, C., Hartmann, E., Blome, C., Managing supplier sustainability risks in a dynamically changing environment—Sustainable supplier management in the chemical industry. Journal of Purchasing and Supply Management 16:2 (2010), 118–130.
22. Ford, A., Modeling the environment. 2nd ed., 1999, Island Press.
23. Forrester, J., World dynamics. 1971, Wright-Allen Press, Cambridge, MA.
24. Gharakhani, D., The evaluation of supplier selection criteria by fuzzy DEMATEL method. Journal of Basic and Applied Scientific Research 2:4 (2012), 3215–3224.
25. Govindan, K., Khodaverdi, R., Jafarian, A., A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production 47 (2013), 345–354.
26. Haller, R., Emberger, G., Mayerthaler, A. (2008). A system dynamics approach to model land-use/transport interactions on the national level. In REAL CORP 008 proceedings. < www.corp.at>.
27. Heyer, R. (2004). Understanding soft operations research: The methods, their application and its future in the defence setting. Edinburgh South Australia: DSTO Information Sciences Laboratory (working paper).
28. Ho, W., Xu, X., Dey, P.K., Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research 202 (2010), 16–24.
29. Jauhar, S.K., Pant, M., Abraham, A., A novel approach for sustainable supplier selection using differential evolution: A case on pulp and paper industry. Intelligent data analysis and its applications, Vol. II, 2014, Springer International Publishing, 105–117.
30. Javad, J., Rita, A., Leonilde, R., Dynamic MCDM with future knowledge for supplier selection. Journal of Decision Systems, Knowledge-Based Decision Systems, 23(3), 2014.
31. Kahraman, C., Cebeci, U., Ulukan, Z., Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management 16:6 (2003), 382–394.
32. Keskin, G.A., Ihan, S., Ozkan, C., The fuzzy art algorithm: A categorization method for supplier evaluation and selection. Expert Systems with Application 37 (2010), 1235–1240, 10.1016/j.eswa.2009.06.004.
33. Khamseh, A.A., Mahmoodi, M., A new fuzzy TOPSIS-TODIM hybrid method for green supplier selection using fuzzy time function. Advances in Fuzzy Systems, 2014, 10.1155/2014/841405.
34. Khatie, A. H., Bulgak, A., & Segovia, J. (2010). Advanced decision support tool by integrating activity-based costing and management to systems dynamics. IEEE.
35. Kuo, R., Wang, Y., Tien, F., Integration of artificial neutral network and MADA methods for green supplier selection. Journal of Cleaner Production 18:12 (2010), 1161–1170, 10.1016/j.jclepro.2010.03.020.
36. Lan, T.-S., Lan, Y.-H., Chen, K.-L., Chen, P.-C., Lin, W.-C., A study of developing a system dynamics model for the learning effectiveness evaluation. Mathematical Problems in Engineering, 2013, 10.1155/2013/298621.
37. Lee, A.H.I., Chen, W.-C., Chang, C.-J., A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications(34), 2008, 96–107.
38. Lee, A.H.I., Kang, H.-Y., Hsu, C.-F., Hung, H.-C., A green supplier selection model for high-tech industry. Expert Systems with Applications 36 (2009), 7917–7927, 10.1016/j.eswa.2008.11.052.
39. Mani, V., Agrawal, R., Sharma, V., Supplier selection using social sustainability: AHP based approach in India. International Strategic Management Review 2:2 (2014), 98–112.
40. Meadows, J., Randers, D.L., Meadows, Beyond the limits: Confronting global collapse, envisioning a sustainable future. 1993, Chelsea Green Publishing Company.
41. Meadows, J., Randers, D.L., Meadows, Limits to growth: The 30-year update. 2004, Chelsea Green.
42. Onat, N., Egilmez, G., Tatari, O., Towards greening the U.S. residential building stock: A systems dynamics approach. Building and Environment 78 (2014), 68–80.
43. Ordoobadi, S., Development of a supplier selection model using fuzzy logic. Supply Chain Management: An International Journal 14:4 (2009), 314–327.
44. Orji, I.M.J., Wei, S., A decision support tool for sustainable supplier selection in manufacturing firms. Journal of Industrial Engineering and Management 7:5 (2014), 1293–1315.
45. Qiang, X., Hui, L., Xiao-dong, Q., System dynamics simulation model for the electronic commerce credit risk mechanism research. International Journal of Computer Science Issues, 10(2), 2013.
46. Randers, J., From limits to growth to sustainable development or SD (sustainable development) in a SD (system dynamics) perspective. System Dynamics Review 16 (2000), 213–224.
47. Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., Diabat, A., A fuzzy multi-criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences. Resources, Conservation and Recycling 74 (2013), 170–179.
48. Tako, A., Robinson, S., The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems 52 (2012), 802–815.
49. Trappey, A., Trappey, C., Hsiao, C., Ou, J., Chang, C.T., System dynamics modeling of product carbon footprint life cycles for collaborative green supply chains. International Journal of Computer Integrated Manufacturing 25 (2012), 934–945.
50. Vashiranwongpinyo, P., (2010). A systems dynamics model to analyze behavior of manufacturing in supply chain. In Proceedings of the 2nd RMUTP international conference.
51. Verdecho, M. J., Alfaro-Siaz, J. J., & Rodríguez-Rodríguez, R. (2010). An approach to select suppliers for sustainable collaborative networks. In IFIP international federation for information processing (pp. 304–311).
52. Wang, J.-W., Cheng, C.-H., Huang, K.-C., Fuzzy hierarchical TOPSIS for supplier selection. Applied Soft Computing 9:1 (2009), 377–386.
53. Wareef, A. N. (2013). A systems dynamics simulation model for forecasting energy demand in Pueblo County. MSc. Dissertation. Industrial and Systems Engineering Program, Colorado State University-Pueblo.
54. Wittstruck, D., & Teuteberg, F. (2011). Governance and sustainability in information systems. Managing the transfer and diffusion of IT. In IFIP advances in information and communication technology (Vol. 366, pp 45–69).
55. Wu, M., Liu, Z., The supplier selection application based on two methods: VIKOR algorithm with entropy method and Fuzzy TOPSIS with vague sets method. International Journal of Management Science and Engineering Management 6:2 (2011), 109–115.
56. Yeh, W.C., Chuang, M.C., Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert System Application 38 (2010), 4244–4253, 10.1016/j.eswa.2010.09.091.
57. Zhang, D.W., Hamid, A., Bakar, A., Thoo, A.C., Sustainable supplier selection: An international comparative literature review for future investigation. Applied Mechanics and Materials 525 (2014), 787–790.
58. Zhu, Q., Sarkis, J., Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of Operations Management 22 (2004), 265–289.