This Paper focuses on the implementation of Just-In-Time (JIT) in Supply Chain Management (SCM) context. Three Pull Control Policies (PCPs), developed for controlling the inventory level, are discussed. Kanban, ConWIP, and a hybrid PCP, are recognized for implementation in multi-echelon, multi-stage, and multi-product supply chains. The performance of each policy is measured through three measurement criteria. Considering the uncertainty, the performances of policies are evaluated via a Fuzzy AHP method. For, identification, performance measurement, and evaluation of PCPs the study proposes an integrated approach. The approach explains the PCPs mechanisms, measurement criteria formulations, and multi criteria decision making methods. Finally, the solution approach is examined through a case study
Just-In-Time, Supply Chain Management, Pull Control Policy, Kanban, ConWIP, Analytical Hierarchy Process, Fuzzy, Multi Criteria Decision Making
 Pourjavad, E, Mayorga, R., (2017) Optimizing Performance Measurement of Manufacturing Systems with Mamdani Fuzzy Inference System”, Journal of Intelligent Manufacturing, doi:1 0.1007/s10845-017-1307-5.
 Thürer, M., Fernandes, N. O., Stevenson, M.,Ting Qu T. 2017. “On the Backlog Sequencing Decision for Extending the Applicability of ConWIP to High-Variety Contexts: An Assessment by Simulation”. International Journal of Production Research 55 (16): 4695–4711 . .
 Long, T.B., Blok, V., Coninx, I., 2016. Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from The Netherlands, France, Switzerland and Italy. J. Clean. Prod. 112, 9-21.
 Ni, Y. and Wang, Y. (2015), “A double decoupling postponement approach for integrated mixed flow production systems”, Kybernetes, Vol. 44 No. 5, pp. 705-720.
 Takahashi,K., Nakamura, N., 1998. Ordering alternatives in JIT production systems. Production Planning and Control 9 (8),784–794.
 Kimura,O., Terada, H., 1981. Design and analysis of pull system: A method of multi-stage production control. International Journal of Production Research 19 (3), 241–253.
 Takahashi, K.,Nakamura, N.,2004. Push,pull,or hybrid control in supply chain management. Proceedings of the International Conference on Industrial Engineering and Production Management,Quebec,August, 2001, pp. MD126.96.36.199–MD188.8.131.52.
 Takahashi, K., Myreshka, Hirotani, D., 2005, Comparing CONWIP, synchronized CONWIP, and Kanban in complex supply chains, Int. J. Production Economics 93–94, 25–40 .
 Kojima, M., Nakashima, K., Ohno, K., 2008, Performance evaluation of SCM in JIT environment, Int. J. Production Economics 115 439– 443.
 Nakashima, K., Gupta, S. M., 2012 A study on the risk management of multi Kanban system in a closed loop supply chain, Int. J. Production Economics 139 (2012) 65–68.
 Wang, S., Sarker, B.R., 2005, An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy, European Journal of Operational Research 162,153–172 .
 Sharma, S., & Agrawalb, N. (2009). Selection of a pull production control policy under different demand situations for a manufacturing system by AHP-algorithm. Computers & Operations Research , 36(5), 1622-1632.
 Sharma, S. , Agrawal, N. (2012) Application of fuzzy techniques in a multistage manufacturing system Int J Adv Manuf Technol 60: 397.
 Spearman, M., Woodruff, D., & Hopp, W. (1990). CONWIP: a pull alternative to kanban. International Journal of Production Research , 28(5), 879-894.
 Pourjavad, E., Shirouyehzad, H., (2014) “Analyzing Maintenance Strategies by FANP Considering RAM Criteria; a Case Study”, International Journal of Logistics Systems and Management, Vol. 18, No.3, pp. 302-321.
 Chang, D.Y. (1996) “Applications of the extent analysis method on fuzzy AHP”, European Journal of Operational Research, Vol. 95, No. 3, pp.649–655.
 Chang, D.Y. (1992), “Extent Analysis and Synthetic Decision, Optimization Techniques and Applications”, World Scientific, Singapore.
 Pourjavad, E., Shirouyehzad, H., (2014) “Evaluating Manufacturing Systems by Fuzzy ANP: a Case Study”, International Journal of Applied Management Science, Vol. 6, No. 1, pp. 65-83.
Cite this paper
Aydin M. Torkabadi, Rene V. Mayorga. (2017) Implementation of Just-In-Time Policies in Supply Chain Management. International Journal of Economics and Management Systems, 2, 315-320
Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0