Open AccessApplying analytical hierarchy process for addressing the agile manufacturing drivers
Author(s) -
Rohit Sharma,
Ubaid Ahmad Khan
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1206/1/012010
Subject(s) - agile manufacturing , analytic hierarchy process , automotive industry , agile software development , process (computing) , order (exchange) , process management , competition (biology) , manufacturing engineering , manufacturing , hierarchy , computer science , engineering , business , operations research , marketing , economics , market economy , ecology , software engineering , finance , biology , aerospace engineering , operating system
In order to incorporate agile manufacturing (AM) in materials and systems, the manufacturing sectors have drivers to face obstacles. Agility is generally accepted for satisfying diverse consumer demands as a new strategic principle in the automotive industry. There has now been a prerequisite for evaluating AM in industry. An organization’s effectiveness relies on their ability to find and pay special attention to the crucial success drivers to achieve a high level of efficiency. This paper suggests a number of Agile Manufacturing Drivers (AMDs) to evaluate AM that is deemed suitable to the production industry. In order to prioritise performance drivers, the analytical hierarchy process (AHP) approach is used to summarise the perspective of an expert. The proposed AMDs are believed to encourage and assist the manufacturing sector in producing agile products to achieve higher efficiency so as to improve competition.