Proposing a framework and assessing supply chain readiness with collaborative approach in car manufacturing industry of Iran

Document Type : Production & Operations Management

Authors

1 Assistant Professor, Institute for Science and Technology Studies, Shahid Beheshti University (corresponding author)

2 Msc in Technology Management, Faculty of Management and Accounting, Shahid Beheshti University

Abstract

Collaborative Planning, Forecasting and Replenishment (CPFR) is a collaborative approach to sharing and integrating information between business partners in a supply chain. This collaborative strategy due to its unique features is able to overcome many common barriers in a supply chain, including lack of timely and accurate communication between business partners and uncertainty in supply and demand. Based on the benefits of this technique the purpose of this study is to developing a CPFR readiness assessment framework for Iranian automotive companies which has been done in the period from April to November 2019. Following the Meta-Synthesis method of Sandelowski and Barroso we identified important factors affecting implementation of CPFR. Then by conducting the Friedman test by SPSS software and identifying the most important factors, a framework for assessing readiness was developed. After reviewing the content validity of the framework by using Lawshe method, the final framework of readiness assessment in the form of a questionnaire was completed by senior members of 10 automotive companies. The results according to obtained mean and based on 3 defined levels of readiness (low, medium, high), showed that Iranian automotive companies generally have a medium level of readiness to implement CPFR. The results of this study will help Iranian automotive companies to evaluate the level of their readiness and ensure its existence, to implement the CPFR collaborative approach with their business partners and will prevent the failure of the collaboration project and waste of organizational resources.

Keywords

Main Subjects


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