CFP last date
20 May 2024
Reseach Article

Evaluation of Supply Chain Collaboration: An AHP Based Approach

Published on August 2015 by Veepan Kumar, Ravi Kant, Arvind Jayant, Rakesh Malviya
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 8
August 2015
Authors: Veepan Kumar, Ravi Kant, Arvind Jayant, Rakesh Malviya
3184e1b7-0b93-45d5-a869-b1a29d393f19

Veepan Kumar, Ravi Kant, Arvind Jayant, Rakesh Malviya . Evaluation of Supply Chain Collaboration: An AHP Based Approach. International Conference on Advancements in Engineering and Technology. ICAET2015, 8 (August 2015), 1-5.

@article{
author = { Veepan Kumar, Ravi Kant, Arvind Jayant, Rakesh Malviya },
title = { Evaluation of Supply Chain Collaboration: An AHP Based Approach },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 8 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/icaet2015/number8/22257-4106/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Veepan Kumar
%A Ravi Kant
%A Arvind Jayant
%A Rakesh Malviya
%T Evaluation of Supply Chain Collaboration: An AHP Based Approach
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 8
%P 1-5
%D 2015
%I International Journal of Computer Applications
Abstract

Supply chain collaboration (SCC) is the driving force to establish a collaborative relationship based on truly shared goal. The need of SC collaboration is to improve sales and/or profits of organization, to take market share away from competitors, to reduce organization's SC costs, to eliminate or reduce investments in physical assets, to transfer costs and risks to other parties in SC, to create a more flexible and responsive supply chain. The objective of this research is to evaluate SC collaboration using Analytical hierarchy process (AHP) by understanding the enablers for effective SC collaboration in the manufacturing organizations. To build awareness of the critical SCCEs and present an approach to make SC collaboration effective by understanding the dynamics between various SC Collaboration Enablers (SCCEs). The findings of the present research work reveal that three enablers of supply chain collaboration were statistically significant to organization performance. The empirical results demonstrate that top management support, common objectives and goals, communication SC strategic planning, Advance technology, Training Advancement and organization compatibility for SC collaboration are the seven main influential factors on the success of SC collaboration project. This study used subjective judgment and any biasing by the person who is judging the SCCEs might influence the final result. Here, 20SCCEs have been used to identify and rank the major SCCEs in relation to the success of SC Collaboration in the organization. The results offer insights to supply chain collaboration practitioners and policy makers for computing importance weights of SCCEs, which helps to identify and rank the important SCCEs for their needs and to reveal the direct and indirect effects of each SCCE for achieving the effective SC Collaboration in the organization by using AHP approach.

References
  1. Arvind Jayant, A. Singh, and V. Patel (2011), "An AHP Based Approach for Supplier Evaluation and Selection in Supply Chain Management" International Journal of Advanced Manufacturing Systems, Volume 2, No. 1, pp. 1-6
  2. Arvind Jayant, M. S. Dhillon (2014) "Use of Analytic Hierarchy Process (AHP) to Select Welding Process in High Pressure Vessel Manufacturing Environment" International Journal of Applied Engineering Research, Volume 10(8) 2015 pp. 58695884, ISSN 0973-4562.
  3. Arvind Jayant, Vikram Singh (2014) "An Application of Analytic Hierarchy Process (AHP) for Vendor Selection in Supply Chain Management" accepted for publication in International Journal Enterprise Network Management (Indescience Publications)
  4. Jayant, P. Gupta, S. K. Garg & M. Khan (2014), 'TOPSIS-AHP Based Approach for Selection of Reverse Logistics Service Provider: A Case Study of Mobile Phone Industry', Procedia Engineering, 97, 2147-2156.
  5. Akintoye, A. , McIntosh. G and Fitzgerald. E. 2000 'A survey of supply chain collaboration and management in the UK construction industry', European Journal of Purchasing and Supply Management, Vol. 6, pp. 159-168.
  6. Anbanandam, R. , Banwet, D and Shankar, R. 2011 'Evaluation of supply chain collaboration: a case of apparel retail industry in India', International Journal of Productivity and Performance Management, Vol. 60, No. 2, pp. 82-98.
  7. Bowersox, D. J. 1990 'The strategic benefits of logistics alliances,' Harvard Business Review, Vol. 68, No. 4, pp. 36-43.
  8. Chang, T. H and Wang, T. C. 2009 'Measuring the success possibility of implementing advanced manufacturing technology by utilizing the consistent fuzzy preference relations,' Expert Systems with Applications, Vol. 36, No. 3, pp . 4313–4320.
  9. De Toni, A. , Nassimbeni, G and Tonchia, S. 1994 'New trend in the supply management', Logistics Information Management, Vol. 7, No. 4, pp. 41–50.
  10. Fawcett, S. , Magnan, G and Fawcett, M. 2010 'Mitigating resisting forces to achieve the collaboration-enabled supply chain', Benchmarking: An International Journal, Vol. 17, No. 2, pp. 269 – 293.
  11. Fearne, A and Hughes, D. 1999 'Success factors in the Fresh Produce Supply Chain: insights from the UK', Supply Chain Management, Vol. 4, No. 3, pp. 120-128.
  12. Hansen, M. T and Nohria, N. 2004 'How to build the collaborative advantage', slogan management review.
  13. Herrera–Viedma, E. , Herrera, F. , Chiclana, F and Luque, M. 2004 'Some issues on consistency of fuzzy preference relations', European Journal of Operational Research, Vol. 154, pp. 98–109.
  14. Horvath, L. 2001 'Collaboration: key to value creation in supply chain management', Supply Chain Management: An International Journal, Vol. 6 No. 5, pp. 205-7.
  15. Joshi, K. and Kant, R. 2012, 'Structuring the underlying relations among the enablers of supply chain collaboration', International journal of Collaborative Enterprise, Vol. 3, No. 1, pp. 38–59.
  16. Lee, H. L. , Padmanabhan, V. and Whang, S. 1997 'The bullwhip effect in supply chains,' Sloan Management Review, Vol. 38 No. 3, pp. 93-102.
  17. Lorentz, H. 2008 'Collaboration in Finnish-Russian supply chains: Effects on performance and the role of experience', Baltic Journal of Management, Vol. 3, No. 3, pp. 246 – 265.
  18. Matopoulos, A. , Vlachopoulou, M. , Manthou . V and Manos, B. 2007 'A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry', Supply Chain Management: An International Journal, Vol. 12, No. 3, pp. 177 – 186.
  19. Parks, L. 2001 'Wal-Mart gets on board early with collaborative planning', Drug Store News, Vol. 23, No. 2, pp. 14.
  20. Sheu, C. , Yen, H. R and Chae, B. 2006 'Determinants of supplier retailer collaboration evidence from an international study', International journal of operations and production management, Vol. 26, No. 1, pp. 24-29.
  21. Simatupang, T and Sridharan, R. 2004 'A benchmarking scheme for supply chain collaboration', An International Journal, Vol. 11, pp. 9-30.
  22. Simatupang, T and Sridharan, R. 2005 'The collaborative supply chain', International Journal of Logistics Management, Vol. 13 No. 1, pp. 15-30.
  23. Simatupang, T. and Sridharan, R. 2008 'Design for supply chain collaboration', Business Process Management Journal Vol. 14, No. 3, pp. 401 – 418.
  24. Spekman, R. E. , Kamauff, J. W. and Myhr, N. 1998 'An empirical investigation into supply chain management", International Journal of Physical Distribution and Logistics Management, Vol. 28, No. 8, pp. 630-50.
Index Terms

Computer Science
Information Sciences

Keywords

Analytical Hierarchy Process (ahp) Supply Chain Collaboration Enablers (scces)