12th Annual International Conference on Industrial Engineering and Operations Management

Optimization of Supply Chain Strategies to Meet Delivery Goals with ANP, SWOT, and TOPSIS Approaches: A Case Study of the Sugar Refinery Industry

Ayu Mandasari Nasution, Muhammad Dachyar & Novandra Rhezza Pratama
Publisher: IEOM Society International
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Track: Supply Chain Management
Abstract

The sugar refinery industry in Indonesia is one of the important sectors of the manufacturing industry. The sugar
refinery industry should supply the product to the other industries as the raw material to produce the solid product.
According to the industry supply, the sugar refinery industry needs to optimize the strategy to deliver the product to
meet customer demand. This research aims to optimize the supply chain management strategy in the sugar refinery
industry to meet the delivery targets by using 3PL. The 3PL's transportation network comprises many lanes, each of
which connects to a city in another state or province. With hundreds of shipping orders arriving every day, the 3PL
can maintain the delivery focus on transportation availability and process to deliver the product as per request from
the customer. This study was conducted based on analysis that included surveys and secondary data, which included
the plan vs. actual delivery to see the differentiation before and after using the 3PL on the process to improve the
delivery goals in the sugar refinery industry. Furthermore, this study uses a combination of an ANP, SWOT analysis,
and the TOPSIS method to implement the supply chain strategy in the supply chain department and conducts an
evaluation review to identify the best strategy to implement the fulfillment delivery for the sugar refinery industry to
optimize and achieve the delivery targets for sugar refinery products in the sugar refinery industry.


Keywords
Supply Chain Management, 3PL, Delivery, Sugar Refinery Industry, ANP, SWOT Analysis, TOPSIS

Published in: 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey

Publisher: IEOM Society International
Date of Conference: March 7-10, 2022

ISBN: 978-1-7923-6131-9
ISSN/E-ISSN: 2169-8767