Analysis of Agility Performance of Supply Chain: A Case Study on Indian Automotive Manufacturer

International Conference on Recent Advances in Materials & Manufacturing Technologies

Routroy, S.^1 ; Sharma, S.^2 ; Bhardwaj, A.^1

Department of Mechanical Engineering, BITS Pilani - Pilani Campus, BITS Pilani, Rajasthan

333031, India^1

Department of Management, BITS Pilani - Pilani Campus, BITS Pilani, Rajasthan

333031, India^2

关键词: Appropriate technologies;    Automotive manufacturers;    Automotive supply chains;    Fuzzy analytic hierarchy process;    Manufacturing companies;    Supply chain agility;    Taguchi loss functions;    Uncertain demand and supplies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/346/1/012056/pdf
DOI  :  10.1088/1757-899X/346/1/012056

来源: IOP

【 摘 要 】

Manufacturing companies should understand the changing customer needs and expectations, access and defend the competitive pressure, anticipate and manage the uncertain demand and supply chain risk, and implement the appropriate technology to survive and excel in today's marketplace. Therefore, they are moving away from mass production (i.e. lean supply chain) to one based on fast-responsiveness and flexibility, capitalizing on the rapid advancement in internet technologies and factory-on-demand mode of production (i.e. agile supply chain). It is observed that manufacturing companies in India in general and automotive supply chain in specific are compelled to cultivate supply chain agility for enhancing its performance level on continuous basis and comparing its supply chain agility performance with competitors to survive and sustain in the competitive business environment. Therefore, a methodology is proposed to evaluate the supply chain agility of a manufacturing supply chain and compare its performance level with competitors using Fuzzy Analytic Hierarchy Process and Taguchi Loss Function. A case study is developed and the proposed methodology is applied to Indian automotive supply chain for explaining the salient features of it.