Presentation of a Hybrid Model Supply Chain Agility Using Multi-Attribute Decision-Making Algorithms D ANP and VIKOR (Case Study: Manufacturing Industries)

Subject Areas : Biannual Journal of Value Chain Management

parvaneh  gholipoor ¹ (M.Sc., Business Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.)
mohammadmahdi  mozaffari ² (Assistant Professor, Department of Industrial Management, Imam Khomeini International University, Qazvin, Qazvin, Iran.)

Received: 2021-08-03 Accepted : 2021-08-03 Published : 2019-08-23

Keywords: Supply Chain, Multi-Criteria Decision Making, Agility, D ANP and VIKOR,

Abstract :

One of the requirements of the information age is agility in the manufacturing industry. The urgency of agility in most industries in responding to the customers' new demands and needs, the changes in the Rosa market are evident in relation to new products and services. The need for the flexibility and speed of the industry with regard to the existing competitive conditions and the move to agility is the most obvious reality. In this research, using the DNAP and VIKOR methodology, ranking of important indicators in supply chain agility in automotive parts industry in Qazvin has been studied. The statistical population consists of experienced experts and experts with a sample size of 30 people. The data collection method is internal documents and library and library references, the tool is used as a questionnaire. the results indicate that purchasing power and market demand are among the highest priorities in relation to other factors. Managers will be able to focus on important indicators to take action when faced with the problems and the probability of occurrence of bankruptcy.