Skip to main content

Advertisement

SpringerLink
Log in

Performance evaluation of JIT enabled SCM using ANP method

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

Just in time (JIT) got momentum to meet the requirement of mass production with quality embedded features in finished goods. Industries are intended to keep no inventories with nil scrap to reduce lead time in era of mass production. These can be well achieved by improvising, the three processes of supply chain i.e. procurement, production and distribution in purview of just in time management. But JIT implementations in these processes are hardly achievable. Therefore execution process of JIT may be modified to tolerate minimum inventories and scrap in meeting the minimum lead time. JIT supply chain has been recent development in literature to reduce these three aspects. But, some rigid justifications of JIT supply chain to enhance business operations has made to modify it with amalgamating of few leverage of stock keeping, allowable scrap and justifiable lead time. This Supply chain has been referred here as hybrid supply chain (HSC). An ANP comparison based study is presented here to know the performance of hybrid supply chain over JIT supply chain and traditional supply chains. With the help of this model most preferred supply chain out of three has been recognised.

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

Similar content being viewed by others

References

  • Agarwal A, Shankar R (2003) On-line trust building in e enabled supply chain. Supply Chain Manag Int J 8(4):324–334

    Article  Google Scholar 

  • Amasaka K (2007) Applying new JIT—Toyota’s global production strategy: epoch-making innovation of the work environment. Robot Comput Integr Manuf 23:285–293

    Article  Google Scholar 

  • Assadej V (2012) The relationship between employee involvement, partnership management and supply performance. Int J Product Perform Manag 61(2):157–172

    Article  Google Scholar 

  • Banerjee A, Kim SL, Burton J (2007) Supply chain coordination through effective multi-stage inventory linkages in a JIT environment. Int J Prod Econ 108:271–280

    Article  Google Scholar 

  • Blackburn J (2012) Valuing time in supply chains: establishing limits of time-based competition. J Oper Manag 30:396–405

    Article  Google Scholar 

  • Bowersox DJ, Closs DJ, Cooper MB (2010) Supply chain logistics management, 3rd edn. McGraw-Hill, Singapore

    Google Scholar 

  • Brox JA, Fader C (1997) Assessing the impact of JIT using economic theory. J Oper Manag 15:371–388

    Article  Google Scholar 

  • Bruce M, Daly L, Towers N (2004) Lean or agile: a solution for supply chain management in the textiles and clothing industry. Int J Oper Prod Manag 24(2):151–170

    Article  Google Scholar 

  • Bushuev MA, Alfred LG (2012) Optimal position of supply chain delivery window: concepts and general conditions. Int J Prod Econ 137:226–234

    Article  Google Scholar 

  • Chan FTS, Zhang T (2011) The impact of collaborative transportation management on supply chain performance: a simulation approach. Expert Syst Appl 38:2319–2329

    Article  Google Scholar 

  • Charan P (2012) Supply chain performance issues in an automobile company: a SAP-LAP analysis. Meas Bus Excell 16(1):67–86

    Article  Google Scholar 

  • Christensen WJ, Germain R, Laura B (2005) Build-to-order and just-in-time as predictors of applied supply chain knowledge and market performance. J Oper Manag 23:470–481

    Article  Google Scholar 

  • Christopher M, Towill D (2001) An integrated model for the design of agile supply chains. Int J Phys Distrib Logist Manag 31(4):235–246

    Article  Google Scholar 

  • Dhandapani V, Potter A, Naim M (2004) Applying lean thinking: a case study of an Indian steel plant. Int J Logist Res Appl Lead J Supply Chain Manag 7(3):239–250

    Article  Google Scholar 

  • Ding JF (2011) An integrated fuzzy TOPSIS method for ranking alternatives and its application. J Mar Sci Technol 19(4):341–352

    Google Scholar 

  • Dong Y, Carter CR, Dresner ME (2001) JIT purchasing and performance: an exploratory analysis of buyer and supplier perspectives. J Oper Manag 19:471–483

    Article  Google Scholar 

  • Emerson D, Zhou W, Piramuthu S (2009) Goodwill, inventory penalty, and adaptive supply chain management. Eur J Oper Res 199:130–138

    Article  MATH  Google Scholar 

  • Forslund H, Jonsson P (2010) Integrating the performance management process of on-time delivery with suppliers. Int J Logist Res Appl Lead J Supply Chain Manag 13(3):225–241

    Article  Google Scholar 

  • Fullerton R, Watters R, Cheryl S, Chris F (2003) An examination of the relationships between JIT and financial performance. J Oper Manag 21:383–404

    Article  Google Scholar 

  • Garcia CA, Ibeas A, Herrera J, Vilanova R (2012) Inventory control for the supply chain: an adaptive control approach based on the identification of the lead-time. Omega 40:314–327

    Article  Google Scholar 

  • Garg D, Deshmukh SG (1999) JIT purchasing: literature review and implications for Indian industries. Int J Prod Plan Control 10:276–285

    Article  Google Scholar 

  • Gopal PRC, Thakkar J (2012) A review on supply chain performance measures and metrics:2000–2011. Int J Prod Perform Manag 61(5)518–547

    Article  Google Scholar 

  • Giunipero LC, Keiser EF (1987) JIT purchasing in a non-manufacturing environment: a case study. J Purch Mater Manag 23(4):19

    Google Scholar 

  • Guido N (1995) Factors underlying operational JIT purchasing practices: results of an empirical research. Int J Prod Econ 42:275–288

    Google Scholar 

  • Gunasekaran A, Patel C, McGaughey R (2004) A framework for supply chain performance measurement. Int J Prod Econ 87(3):333–347

    Article  Google Scholar 

  • Joe M, Thomas E, Johnsen MM (2012) Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels. Supply Chain Manag Int J 17(5):478–496

    Article  Google Scholar 

  • Kannan VR, Tan KC (2010) Supply chain integration: cluster analysis of the impact of span of integration. Supply Chain Manag Int J 15(3):207–215

    Article  Google Scholar 

  • Katayama H, Bennett D (1999) Agility, adaptability and leanness: a comparison of concepts and a study of practice. Int J Prod Econ 60(1):43–51

    Article  Google Scholar 

  • Khan LR, Sarkar R (2002) An optimal batch size for the JIT manufacturing. Comput Ind Eng 42:127–136

    Article  Google Scholar 

  • Kidd J, Frank JR, Li X (2003) Learning and trust in supply chain management. Manag Decis 41(7):603–612

    Article  Google Scholar 

  • Kim WS (2006) Effects of supply chain management practices, integration and competition capability on performance. Supply Chain Manag Int J 11(3):241–248

    Article  Google Scholar 

  • Kinney MR, Wempe WF (2002) Further evidence on the extent and origins of JIT's profitability effects. Acc Rev 77(1):203–225

    Article  Google Scholar 

  • Kojima M, Kenichi N, Ohno K (2008) Performance evaluation of SCM in JIT environment. Int J Prod Econ 115:439–443

    Article  Google Scholar 

  • Manzouri M, Rahman MNA (2013) Adaptation of theories of supply chain management to the lean supply chain management. Int J Logist Syst Manag 14(1):38–54

    Article  Google Scholar 

  • Meade L, Sarkis J (1999) Analyzing organizational project alternatives for agile manufacturing process: an analytical network approach. Int J Prod Res 37(2):241–261

    Article  MATH  Google Scholar 

  • Miltenburg J (1993) A theoretical framework for understanding why JIT reduces cost and cycle time and improves quality. Int J Prod Econ 30–31:195–204

    Article  Google Scholar 

  • Mishra OP, Vikas K, Garg D (2013) JIT supply chain; an investigation through general system theory. Manag Sci Lett 3(3):743–751

    Article  Google Scholar 

  • Mishra OP, Kumar V, Garg D (2014) Application of ISM technique for analysis of the procurement related attributes in JIT supply chain management. Int J Procure Manag 7(4):473–491

    Article  Google Scholar 

  • Mishra OP, Kumar V, Garg D (2015) Multi-attributes based comparison of JIT distribution process of supply chain. Int J Logist Syst Manag 22(4):500–519

    Article  Google Scholar 

  • Mistry JJ (2005) Origins of profitability through JIT processes in the supply chain. Ind Manag Data Syst 105(6):752–768

    Article  Google Scholar 

  • Naylor JB, Naim MM, Berry D (1999) Leagility: integrating the lean and agile manufacturing paradigms in the total supply chain. Int J Prod Econ 62:107–118

    Article  Google Scholar 

  • Ohno T (1988) Toyota production system: beyond large scale production. Productivity Press, Cambridge, MA

    Google Scholar 

  • Saaty TL (1996) Decision making with dependence and feedback: the analytic network process. RWS Publication, Pittsburgh, PA

    Google Scholar 

  • Schonberger RJ (1986) Japanese manufacturing techniques: nine hidden lessons in simplicity. The Free Press, New York

    Google Scholar 

  • Soosay CA, Hyland PW, Ferrer M (2008) Supply chain collaboration: capabilities for continuous innovation. Supply Chain Manag Int J 13(2):160–169

    Article  Google Scholar 

  • Steele AL (2001) Cost drivers and other management issues in the JIT supply chain environment. Prod Invent Manag J 42(2):61–67

    Google Scholar 

  • Takahashi K, Morikawa K, Nakamura N (2004) Reactive JIT ordering system for changes in the mean and variance of demand. Int J Prod Econ 92:181–196

    Article  Google Scholar 

  • Virolainen VM (1998) A survey of procurement strategy development in industrial companies. Int J Prod Econ 56:677–688

    Article  Google Scholar 

  • Vokurka RJ, Lummus RR (2000) The role of just-in-time in supply chain management. Int J Logist Manag 11(1):89–98

    Article  Google Scholar 

  • Winter M, Knemeyer M (2013) Exploring the integration of sustainability and supply chain management - current state and opportunities for future inquiry. Int J Phys Distrib Logist Manag 43(1):18–38

    Article  Google Scholar 

  • Yasin MM, Small MH, Wafa MA (2003) Organizational modifications to support JIT implementation in manufacturing and service operations. Omega 31:213–226

    Article  Google Scholar 

  • Zimmer K (2002) Supply chain coordination with uncertain just-in-time delivery. Int J Prod Econ 77:1–15

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, 121006, India

    Om Prakash Mishra & Vikas Kumar

  2. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India

    Dixit Garg

Authors
  1. Om Prakash Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vikas Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dixit Garg
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Om Prakash Mishra.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mishra, O.P., Kumar, V. & Garg, D. Performance evaluation of JIT enabled SCM using ANP method. Int J Syst Assur Eng Manag 9, 547–558 (2018). https://doi.org/10.1007/s13198-018-0702-4

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-018-0702-4

Keywords

Search

Navigation