Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

IInternational Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Application of Improved Kanban Systems in Indian Auto Ancillary Industry for SCM

Author : Asst. Prof. Meda Karan Venkatesh 1 2

Date of Publication :7th December 2016

Abstract: Supply Chain Management (SCM) is management of material and information flow in a supply chain to provide the highest degree of customer satisfaction at the lowest possible cost. SCM requires commitment of supply chain partners to work closely to coordinate order generation, order taking and order fulfillment thus, creating an ďextended enterpriseĒ spreading far beyond the producerís location. Supply chains encompass the companies and the business activities needed to design, make, deliver and use a product or service. Businesses depend on their supply chains to provide them with what they need to survive and thrive. Supply chain management is the integration of key business processes from initial raw material extraction to the final or end customer, including intermediate processing, transportation and storage activities and final sale to the end customer. Today, the practice of supply chain management is becoming extremely important to achieve and maintain competitiveness. The paper will aim to improve the Inventory problems which are faced by all types of industry all over the globe, thus making it a kind of universal problem. The primary goal of any company is to minimize the inventory. The improvement which the report suggests can be termed as a kind of practical improvement i.e. usage of improved Kanban Systems resulting in Inventory optimization. This research is expected to help government and private industry in selecting the most influencing problem area and its optimization. It will also help in establishing the relations between various problems areas to that of cost reduction. This increase the prediction accuracy in supply chain thus helping organizations to draft there strategic plans and policy up gradation. With the use of improved Kanban Systems, resulting in more Inventory Optimizing and in turn more cost saving

Reference :

    1. Leonilde R. Varela and Pedro Salgado (2010), Cellular Manufacturing with Kanbans Optimization in Bosch Production System, International Conference 2ND International Conference on Innovations, Recent Trends and Challenges in Mechatronics, Mechanical Engineering and New High-Tech Products Development, MECAHITECH’10, Bucharest, 23- 24 September 2010.
    2. Lutz, W., Sanderson, W. and Scherbov, S., (2008), The coming acceleration of global population ageing, Nature, Vol. 451, pp. 716–719.
    3.  MajidAarabi, MuhamadZameri Mat Saman, M.R. Khoei, Kuan Yew Wong, HooshangM.Beheshti, NorhayatiZakuan, (2011), Conceptual Model for Information Systems of Sustainable Supply Chain Management, 978-1-4577-0739-1/11/$26.00 ©2011 IEEE.
    4. Marcel W. Ludema “Supply Chain Analysis Thinking”, 0-7803-7952-7/03/2003 IEEE.
    5. Nagaraj, H.S., Owens, B.L. and Miller, R.J., (1989), Particulate Generation in Devices Used in Clean Manufacturing, Particles in Gases and Liquids, (Edited by K.L. Mittal) pp 283-293. O'Brien, C., (1999), Sustainable production – a new paradigm for a new millennium, International Journal of Production Economics, Vol. 60–61, pp. 1-7.
    6. Rajendra Kumar Shukla, Dr. Dixit Garg, Dr. Ashish Agarwal, (2011), Understanding of Supply Chain: A Literature Review, International Journal of Engineering Science and Technology (IJEST), ISSN : 0975-5462, Vol. 3 No. 3 March 2011.

Recent Article