Skip to main content
SpringerLink
Log in

A decision support system for single-period single sourcing problem in supply chain management

  • Methodologies and Application
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

A basic part of the logistic management of organizations is purchasing function, and appropriate supplier selection is one of the main responsibilities of this function. Appropriate supplier selection has an important role in reducing costs, increasing competitiveness and the share of market as well as improving customers’ satisfaction. Hence, the use of accurate and efficient techniques for supplier selection problems is out of question. Due to the importance of appropriate supplier selection, lots of research have been focused on this topic, but only a few of them considered the supplier selection problem with the process of reducing the set of all suppliers to a smaller set of eligible suppliers. Therefore, in this paper, based on data envelopment analysis models, a new hybrid methodology is presented for evaluating potential suppliers and selecting the best supplier (single sourcing) under certainty environment for a single-period by applying the strategy of reducing the number of potential suppliers. This methodology includes two phases: (1) classifying suppliers into efficient and inefficient suppliers, and hence reducing the set of all suppliers into a smaller set of eligible suppliers, and (2) evaluating the efficient (eligible) suppliers. Finally, a sample problem is demonstrated to examine the proposed methodology in comparison with traditional methods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Adila A (2001) Predictors of university academic performance in Colombia instituto colombiano de neuropsicologia, Bogota, Colombia. Int J Educ Res 35:411–417

    Article  Google Scholar 

  • Aissaoui N, Haouari M, Hassini E (2007) Supplier selection and order lot sizing modeling: a review. Comput Oper Res 34:3516–3540

    Article  MATH  Google Scholar 

  • Alirezaei M-R, Rafiei Sani M-R (2010) Development on AHP/DEA method for ranking decision-making units. Iran J Ind Manag 5:83–102 (In Persian)

    Google Scholar 

  • Awasthi A, Govindan K, Gold S (2017) Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. Int J Prod Econ 195:106–117

    Article  Google Scholar 

  • Azadi M, Jafarian M, Farzipoor Saen R, Mirhedayatian S-M (2015) A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Comput Oper Res 54:274–285

    Article  MathSciNet  MATH  Google Scholar 

  • Bagherzadeh A, Dori B (2010) ANP application for selecting the best supplier in supply chain. Iran J Humanit Teach Manag Res Iran 4:1–21 (In Persian)

    Google Scholar 

  • Beuthe M, Scannella G (2001) Comparative analysis of UTA multicriteria methods. Eur J Oper Res 130(2):246–262

    Article  MATH  Google Scholar 

  • Bottani E, Rizzi A (2008) An adapted multi-criteria approach to suppliers and products selection—an application oriented to lead-time reduction‖. Int J Prod Econ 111(2):763–781

    Article  Google Scholar 

  • Chamodrakas I, Batis D, Martakos D (2010) Supplier selection in electronic market places using satisficing and fuzzy AHP. Expert Syst Appl 37:490–498

    Article  Google Scholar 

  • Charnes A, Cooper W-W, Rohdes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444

    Article  MathSciNet  MATH  Google Scholar 

  • Che Z-H, Chang Y-F (2016) Integrated methodology for supplier selection: the case of a sphygmomanometer manufacturer in Taiwan. J Bus Econ Manag 17(1):17–34

    Article  Google Scholar 

  • Chen Y-Q, Lu H, Lu W, Zhang N (2010) Analysis of project delivery systems in Chinese construction industry with data envelopment analysis (DEA). Eng Constr Archit Manag 17(6):598–614

    Article  Google Scholar 

  • Choi T-M (2013) Optimal apparel supplier selection with forecast updates under carbon emission taxation scheme. Comput Oper Res 40:2646–2655

    Article  MathSciNet  MATH  Google Scholar 

  • De Boer L, Labro E, Morlacchi P (2001) A review of methods supporting supplier selection. Eur J Purch Supply Manag 7:75–84

    Article  Google Scholar 

  • Degraeve Z, Labro E, Roodhooft F (2000) An evaluation of vendor selection models from a total cost of ownership perspective. Eur J Oper Res 125(1):34–58

    Article  MATH  Google Scholar 

  • Dobos I, Vörösmarty G (2014) Green supplier selection and evaluation using DEA-type composite indicators. Int J Prod Econ 157:273–278

    Article  Google Scholar 

  • Emel A-B, Oral M, Reisman A, Yolalan R (2003) A credit rating approach for the commercial banking sector. J Socio-Econ Plan Sci 37(2):103–123

    Article  Google Scholar 

  • Eydi A, Bakhtiari M (2017) A multi-product model for evaluating and selecting two layers of suppliers considering environmental factors. Rairo-Oper Res 51:875–902

    Article  MathSciNet  MATH  Google Scholar 

  • Fallahpour A-R, Amindoust A, Antuchevičienė J, Yazdani M (2017) Nonlinear genetic-based model for supplier selection: a comparative study. Technol Econ Dev Econ 23(1):178–195

    Article  Google Scholar 

  • Ferreira L, Borenstein D (2012) A fuzzy-bayesian model for supplier selection. Expert Syst Appl 39:7834–7844

    Article  Google Scholar 

  • Ghobadian A, Stainer A, Kiss T (1993) A computerized vendor rating system. In: Proceeding of the first international symposium on logistics. The University of Nottingham, Nottingham, UK, pp 321–328

  • Ghodsypour S-H, O’Brien C (1998) A decision support system for supplier selection using on integrated analytic hierarchy process and linear programing. Int J Prod Econ 56–57:199–212

    Article  Google Scholar 

  • Govindan K, Kadziński M, Sivakumar R (2017) Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega 71:129–145

    Article  Google Scholar 

  • Ho W, Xu X, Dey P-K (2010) Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur J Oper Res 202(1):16–24

    Article  MATH  Google Scholar 

  • Hosseini S-M, Barker K (2016) A Bayesian network model for resilience-based supplier selection. Int J Prod Econ 180:68–87

    Article  Google Scholar 

  • Jacquet-Lagrèze E, Siskos Y (1982) Assessing a set of additive utility functions for multicriteria decision making: the UTA method. Eur J Oper Res 10(2):151–164

    Article  MATH  Google Scholar 

  • Jain V, Kumar S, Kumar A, Chandra C (2016) An integrated buyer initiated decision-making process for green supplier selection. J Manuf Syst 41:256–265

    Article  Google Scholar 

  • Jauhar S-K, Pant M (2017) Integrating DEA with DE and MODE for sustainable supplier selection. J Comput Sci 21:299–306

    Article  Google Scholar 

  • Kannan D (2018) Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. Int J Prod Econ 195:391–418

    Article  Google Scholar 

  • Khataei M, Haji Yousefi Abad R (2008) Technical efficiency evaluation of Housing Bank using data envelopment analysis (DEA). Iran J Plan Budg 103:55–84 (In Persian)

    Google Scholar 

  • Kumar R, Padhi S-S, Sarkar A (2018) Supplier selection of an Indian heavy locomotive manufacturer: an integrated approach using Taguchi loss function, TOPSIS, and AHP. IIMB Manag Rev (in press)

  • Liou J-J-H, Chuang Y-T (2010) Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Syst Appl 37:3755–3761

    Article  Google Scholar 

  • Liu P, Zhang X (2011) Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method. Int J Prod Res 49(3):637–646

    Article  Google Scholar 

  • Luthra S, Govindan K, Kannan D, Mangla S-K, Garg C-P (2017) An integrated framework for sustainable supplier selection and evaluation in supply chains. J Clean Prod 140(3):1686–1698

    Article  Google Scholar 

  • Michaels R, Kumar A, Samu S (1995) Activity—specific role stress in purchasing. Int J Purch Mater Manag 31(1):11–19

    Google Scholar 

  • Monczka R, Trent R, Handfield R (1998) Purchasing and supply chain management. Western College Publishing, Cincinnati

    Google Scholar 

  • Nguyen H-T, Dawal S-Z-M, NukmanY Aoyama H (2014) A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Syst Appl 41(6):3078–3090

    Article  Google Scholar 

  • Park S-C, Lee J-H (2017) Supplier selection and stepwise benchmarking: a new hybrid model using DEA and AHP based on cluster analysis. J Oper Res Soc 69(2):1–20

    Google Scholar 

  • Pastor J-T (1996) Translation invariance in data envelopment analysis: a generalization. Ann Oper Res 66:93–102

    Article  MathSciNet  MATH  Google Scholar 

  • Patton W-E (1997) Individual and joint decision making in industrial vendor selection. J Bus Res 38(2):115–122

    Article  Google Scholar 

  • Pavić Z, Novoselac V (2013) Notes on TOPSIS method. Int J Res Eng Sci 1(2):5–12

    Google Scholar 

  • Petroni A, Braglia M (2000) Vendor selection using principal component analysis. J Supply Chain Manag Glob Rev Purch Supply 36:9–63

    Google Scholar 

  • Premachandra I-M (2001) A note on DEA vs. Principal component analysis: an improvement to Joe Zhu’s approach. Eur J Oper Res 132:553–560

    Article  MathSciNet  MATH  Google Scholar 

  • Qin J, Liu X, Pedrycz W (2017a) A multiple attribute interval type-2 fuzzy group decision making and its application to supplier selection with extended LINMAP method. Soft Comput 21(12):3207–3226

    Article  MATH  Google Scholar 

  • Qin J, Liu X, Pedrycz W (2017b) An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur J Oper Res 258(2):626–638

    Article  MathSciNet  MATH  Google Scholar 

  • Qiu J, Wang T, Yin S, Gao H (2017a) Data-based optimal control for networked double-layer industrial processes. IEEE Trans Industr Electron 64(5):4179–4186

    Article  Google Scholar 

  • Qiu J, Wei Y, Wu L (2017b) A novel approach to reliable control of piecewise affine systems with actuator faults. IEEE Trans Circuits Syst II Express Briefs 64(8):957–961

    Article  Google Scholar 

  • Qiu J, Wei Y, Karimi H-R, Gao H (2018) Reliable control of discrete-time piecewise-affine time-delay system via output feedback. IEEE Trans Reliab 67(1):79–91

    Article  Google Scholar 

  • Rajabi Asadabadi M (2017) A customer based supplier selection process that combines quality function deployment, the analytic network process and a markov chain. Eur J Oper Res 263(3):1049–1062

    Article  MATH  Google Scholar 

  • Razmi J, Rabani M, Rezaei K, Karbasian S (2004) Providing a decision making support model for suppliers planning, evaluation and selection. Iran J Faculty Eng Tehran Univ 5:693–708

    Google Scholar 

  • Rezaei J, Fahim P-B-M, Tavasszy L (2014) Supplier selection in the airline retail industry using a funnel methodology: conjunctive screening method and fuzzy AHP. Expert Syst Appl 41(18):8165–8179

    Article  Google Scholar 

  • Rezaei J, Nispeling T, Sarkis J, Tavasszy L (2016) A supplier selection life cycle approach integrating traditional and environmental criteria using the Best Worst Method. J Clean Prod 135:577–588

    Article  Google Scholar 

  • Sarkar S, Pratihar D-K, Sarkar B (2018) An integrated fuzzy multiple criteria supplier selection approach and its application in a welding company. J Manuf Syst 46:163–178

    Article  Google Scholar 

  • Shabani A, Visani F, Barbieri P, Dullaert W, Vigo D (2018) Reliable estimation of suppliersʼ total cost of ownership: an imprecise data envelopment analysis model with common weights. Omega (in press)

  • Shabanpour H, Yousefi S, Farzipoor Saen R (2017a) Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks. J Clean Prod 142(2):1098–1107

    Article  Google Scholar 

  • Shabanpour H, Yousefi S, Farzipoor Saen R (2017b) Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA. Transp Res Part D 50:29–143

    Article  Google Scholar 

  • Simić D, Svirčević V, Simić S (2015) A hybrid evolutionary model for supplier assessment and selection in inbound logistics. J Appl Logic 13(2):138–147

    Article  MATH  Google Scholar 

  • Sinuany-Stern Z, Mehrez A, Hadad Y (2000) An AHP/DEA methodology for ranking decision making units. Int Transp Oper Res 7:109–124

    Article  MathSciNet  Google Scholar 

  • Siskos Y, Yannacopoulos D (1985) UTASTAR: an ordinal regression method for building additive value functions. Invest Oper 5(1):39–53

    Google Scholar 

  • Sueyoshi T (2001) Theory and methodology extended DEA—discriminant analysis. Eur J Oper Res 131:324–351

    Article  MATH  Google Scholar 

  • Sueyoshi T (2006) DEA-discriminant analysis: methodological comparison among eight discriminant analysis approaches. Eur J Oper Res 169:247–272

    Article  MathSciNet  MATH  Google Scholar 

  • Sueyoshi T, Goto M (2013) A use of DEA-DA to measure importance of R&D expenditure in Japanese information technology industry. Decis Support Syst 54:941–952

    Article  Google Scholar 

  • Tavana M, Fallahpour A-R, Di Caprio D, Santos-Arteaga F-J (2016) A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection. Expert Syst Appl 61:129–144

    Article  Google Scholar 

  • Theiben S, Spinler S (2014) Strategic analysis of manufacturer–supplier partnerships: an ANP model for collaborative CO2 reduction management. Eur J Oper Res 233:383–397

    Article  Google Scholar 

  • Tofallis C (1997) Input efficiency profiling: an application to airlines. Comput Oper Res 24(3):253–258

    Article  MATH  Google Scholar 

  • Valipour Parkouhi S, Safaei Ghadikolaei A (2017) A resilience approach for supplier selection: using fuzzy analytic network process and grey VIKOR techniques. J Clean Prod 161:431–451

    Article  Google Scholar 

  • Wan S-P, Xu G-L, Dong J-Y (2017) Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment. Inf Sci 385–386:19–38

    Article  Google Scholar 

  • Wang M, Qiu J, Chadli M, Wang M (2016) A switched system approach to exponential stabilization of sampled-data T–S fuzzy systems with packet dropouts. IEEE Trans Cybern 46(12):3145–3156

    Article  Google Scholar 

  • Weber C-A, Current J-R, Benton W-C (1991) Vendor selection criteria and methods. Eur J Oper Res 50(1):2–18

    Article  MATH  Google Scholar 

  • Wu C, Barnes D (2011) A literature review of decision-making models and approaches for partner selection in agile supply chains. J Purch Supply Manag 17:256–274

    Article  Google Scholar 

  • Wu Y, Chen K, Zeng B, Xu H, Yang Y (2016) Supplier selection in nuclear power industry with extended VIKOR method under linguistic information. Appl Soft Comput 48:444–457

    Article  Google Scholar 

  • Yazdani M, Chatterjee P, Zavadskas E-K, Hashemkhani Zolfani S (2017) Integrated QFD-MCDM framework for green supplier selection. J Clean Prod 142(4):3728–3740

    Article  Google Scholar 

  • Zhu J (1998) Data envelopment analysis vs. principal component analysis: an illustrative study of economic performance of Chinese cities. Eur J Oper Res 111:50–61

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, University of Kurdistan, Pasdaran Blvd., Post Box No.: 416, Sanandaj, Iran

    Alireza Eydi

  2. Department of Industrial Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

    Leyla Fazli

Authors
  1. Alireza Eydi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Leyla Fazli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alireza Eydi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants and/or animal

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Communicated by V. Loia.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Eydi, A., Fazli, L. A decision support system for single-period single sourcing problem in supply chain management. Soft Comput 23, 13215–13233 (2019). https://doi.org/10.1007/s00500-019-03864-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-019-03864-0

Keywords

Search

Navigation