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A Methodology for Green Supplier Selection in Food Industries

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Book cover Technology Management for Sustainable Production and Logistics

Part of the book series: EcoProduction ((ECOPROD))

Abstract

Supplier selection process is a key operational function to develop sustainable partnerships and enhance the supply chain performance. This chapter aims to develop an applicable methodology for green supplier selection in food industry. The methodology consists of two phases of classification and ranking of criteria, and the supplier selection phase. In first phase 10 criteria of supplier selection with two dimensions (conventional and green) are identified. Then the criteria are examined and ranked by evaluation factors (frequency in references, adaptation with kind of product, easily understand and easily measurement). The financial, qualitative, service and environmental management system criteria are selected as high ranked criteria. In second phase, potential suppliers are evaluated by high ranked criteria. Group decision making using fuzzy and grey set theories helped to give better results in green supplier selection. At the end of this study in order to demonstrate effectiveness of the proposed methodology, it is applied for a case of edible oil industry for packaging material supplier selection. The results of this study will support the company to establish the methodology to rank and select the best green suppliers within a set of criteria.

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References

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    Article  Google Scholar 

  • Beil D (2010) Supplier selection. Encyclopedia of operations research and management science, Wiley, New York

    Google Scholar 

  • Boer LD, Wegen LVD, Telgen J (1998) Outranking methods in support of supplier selection. Eur J Purch Supply Manage 4:109–118

    Article  Google Scholar 

  • Chai J, Liu JNK, Ngai EWT (2013) Application of decision-making techniques in supplier selection: a systematic review of literature. Expert Syst Appl 40:3872–3885

    Article  Google Scholar 

  • Cheraghi SH, Dadashzadeh M, Subramanian M (2004) Critical success factors for supplier selection: an update. J Appl Bus Res 20(2):91–108

    Google Scholar 

  • Deng J (1989) Introduction to grey system theory. J Grey Syst 1(1):1–24

    Google Scholar 

  • Dikson GW (1996) An analysis of vendor selection: systems and decisions. J Purchasing 1(2):5–17

    Google Scholar 

  • Ghodsypour SH, Obrien C (1998) A decision support system for supplier selection using an integrated analytical hierarchy process and linear programming. Int J Prod Econ 56–57:199–212

    Article  Google Scholar 

  • Govindan K, Rajendran S, Sarkis J, Murugesan P (2013) Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J Clean Prod 1:1–18

    Article  Google Scholar 

  • Goyal S, Grover S (2012) Applying fuzzy grey relational analysis for ranking the advanced manufacturing systems. Grey Syst Theory Appl 2(2):284–298

    Article  Google Scholar 

  • Grisi RM, Guerra L, Naviglio G (2010) Supplier performance evaluation for green supply chain management. Bus Perform Meas Manage Part 4:149–163

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Humphreys PK, Wong YK, Chan FTS (2003) Integrating environmental criteria into the supplier selection process. J Mater Process Technol 138(1–3):349–356

    Article  Google Scholar 

  • Humphreys P, McCloskey A, Mclvor R, Maguire L, Glackin C (2006) Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process. Int J Prod Res 44(12):2379–2419

    Article  Google Scholar 

  • Hwang CL, Yoon KP (1981) Multiple attribute decision making methods and applications. Springer, New York

    Book  Google Scholar 

  • Igrashi M, Boer L, Fet AM (2013) What is required for greener supplier selection? A literature review and conceptual model development. J Purchasing Supply Manage 19(4):247–263

    Article  Google Scholar 

  • Junior FRL, Osirob L, Carpinettia LCR (2014) A comparison between fuzzy AHP and fuzzy TOPSIS methods to supplier selection. Appl Soft Comput 21:194–209

    Article  Google Scholar 

  • Kumar S, Hong QS, Haggerty LN (2011) A global supplier selection process for food packaging. J Manufact Technol Manage 22(2):241–260

    Article  Google Scholar 

  • Kumar A, Jain V, Kumar S (2014) A comprehensive environment friendly approach for supplier selection. Omega 42:109–123

    Article  Google Scholar 

  • Levary RR (2007) Ranking foreign suppliers based on supply risk. Supply Chain Manage Int J 12(6):392–394

    Article  Google Scholar 

  • Losito P, Visciano P, Genualdo M, Cardone G (2011) Food supplier qualification by an Italian large-scale-distributor: auditing system and non-conformances. Food Control 22:2047–2051

    Article  Google Scholar 

  • Magdalena R (2012) Supplier selection for food industry: a combination of Taguchi loss function and fuzzy analytical hierarchy process. Asian J Technol Manage V 5(1):13–22

    Google Scholar 

  • Nielsen IE, Banaeian N, Mobli H, Omid M (2014) Green supplier selection criteria: from a literature review to a flexible framework for determination of suitable criteria. In: Golinska P (ed) Eco production book series: logistic operations, supply chain management and sustainability. Springer, Switzerland, pp 79–100

    Chapter  Google Scholar 

  • Oztaysi B (2014) A decision model for information technology selection using AHP integrated TOPSIS-grey: the case of content management systems. Knowledge-based systems. http://dx.doi.org/10.1016/j.knosys.2014.02.010

  • Roy B (2004) Paradigms and challenges. In: Greco S, Figueira J, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer, Berlin

    Google Scholar 

  • Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26

    Article  Google Scholar 

  • Singh R, Rajput H, Chaturvedi V, Vimal J (2012) Supplier selection by technique of order preference by similarity to ideal solution (TOPSIS) method for automotive industry. Int J Adv Technol Eng Res (IJATER) 2(2):157–160

    Google Scholar 

  • Thiruchelvam S, Tookey JE (2011) Evolving trends of supplier selection criteria and methods. Int J Automot Mech Eng (IJAME) 4:437–454

    Article  Google Scholar 

  • Vachon S, Klassen RD (2006) Green project partnership in the supply chain: the case of package printing industry. J Clean Prod 14(6):661–671

    Article  Google Scholar 

  • Wang YM, Elhag TMS (2006) Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Syst Appl 31(2):309–319

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Wu HH (2002) A comparative study of using grey relational analysis in multiple attribute decision making problems. Qual Eng 15(2):209–217

    Article  Google Scholar 

  • Xu ZS (2007) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15(6):1179–1187

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzysets. Inf Control 8:338–353

    Article  Google Scholar 

  • Zhang SF, Liu SY (2011) A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Syst Appl 38:11401–11405

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Tehran, Iran

    Narges Banaeian, Hossein Mobli & Mahmood Omid

  2. Department of Mechanical and Manufacturing Engineering, Aalborg University, Aalborg, Denmark

    Izabela Ewa Nielsen

Authors
  1. Narges Banaeian
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  2. Hossein Mobli
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  3. Izabela Ewa Nielsen
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  4. Mahmood Omid
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Corresponding author

Correspondence to Izabela Ewa Nielsen .

Editor information

Editors and Affiliations

  1. Engineering Management, Poznan University of Technology, Poznan, Poland

    Paulina Golińska

  2. Logistics and Transport, Poznan University of Economics, Poznan, Poland

    Arkadiusz Kawa

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Banaeian, N., Mobli, H., Nielsen, I.E., Omid, M. (2015). A Methodology for Green Supplier Selection in Food Industries. In: Golińska, P., Kawa, A. (eds) Technology Management for Sustainable Production and Logistics. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33935-6_1

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