3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Supplier Performance Analysis in Food Industry: A Data Envelopment Analysis and Statistical Approach

Muhammad Asrol & Sofyan Wahyudi
Publisher: IEOM Society International
0 Paper Citations
1 Views
1 Downloads
Track: Supply Chain Management
Abstract

Supply chain management in food industry comprises stakeholders to achieve goals. Supplier performance need to be evaluated to control the supply chain product quality and performance. This study aims to evaluate supplier performance and provide recommendation to improve the performance. A data envelopment analysis (DEA) and Pearson correlation are adopted to analyze supplier performance and provided recommendation for further improvement. This study defined five supplier performance criteria, involving raw material price, customer care and responsiveness, raw material quality, perfect order fulfilment and on-time delivery performance to evaluate suppliers at the food industry in the last three months. From 216 data pairs of supplier criteria, it showed that 61.1% of the supplier had inefficient performance where the rest were efficient. Looking for the result, this study suggested to improve raw material price and perfect order fulfilment immediately to produce significant impact to supplier performance and food industry’s competitive advantages.

 

Keywords

data envelopment analysis, evaluation, food industry, performance, supplier.

Published in: 3rd Asia Pacific International Conference on Industrial Engineering and Operations Management, Johor Bahru, Malaysia

Publisher: IEOM Society International
Date of Conference: September 13-15, 2022

ISBN: 978-1-7923-9162-0
ISSN/E-ISSN: 2169-8767