Proceedings of the 2nd International Conference on Contemporary Risk Studies, ICONIC-RS 2023, 21-22 September 2023, Bali, Indonesia

Research Article

Inventory Optimization for A Case Study of the Textile Supply Chain in Indonesia Using Anylogistix

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  • @INPROCEEDINGS{10.4108/eai.21-9-2023.2347046,
        author={Yelita Anggiane Iskandar and Nur Layli Rachmawati and Adji Candra Kurniawan and Daniel Fetrick Jeremias Hatorangan Sarumpaet and Evelyn Sandy Tao A and Monica Ayu Sevita and Rihot Gusron Rifaldy and Risa  Febrianti and Sesilia Eka Christina},
        title={Inventory Optimization for A Case Study of the Textile Supply Chain in Indonesia Using Anylogistix},
        proceedings={Proceedings of the 2nd International Conference on Contemporary Risk Studies, ICONIC-RS 2023, 21-22 September 2023, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICONIC-RS},
        year={2024},
        month={6},
        keywords={textile supply chain inventory management discrete event simulation anylogistix},
        doi={10.4108/eai.21-9-2023.2347046}
    }
    
  • Yelita Anggiane Iskandar
    Nur Layli Rachmawati
    Adji Candra Kurniawan
    Daniel Fetrick Jeremias Hatorangan Sarumpaet
    Evelyn Sandy Tao A
    Monica Ayu Sevita
    Rihot Gusron Rifaldy
    Risa Febrianti
    Sesilia Eka Christina
    Year: 2024
    Inventory Optimization for A Case Study of the Textile Supply Chain in Indonesia Using Anylogistix
    ICONIC-RS
    EAI
    DOI: 10.4108/eai.21-9-2023.2347046
Yelita Anggiane Iskandar1,*, Nur Layli Rachmawati1, Adji Candra Kurniawan1, Daniel Fetrick Jeremias Hatorangan Sarumpaet1, Evelyn Sandy Tao A1, Monica Ayu Sevita1, Rihot Gusron Rifaldy1, Risa Febrianti1, Sesilia Eka Christina1
  • 1: Universitas Pertamina
*Contact email: yelita.ai@universitaspertamina.ac.id

Abstract

Optimizing inventory involves achieving the ideal supply and demand balance. One way to lower the risk of typical inventory difficulties, such as out-of-stock products and excessive storage costs, is to optimize inventory levels. Popular apparel manufacturers are at the downstream end of a long and complicated textile supply chain facing challenges like fierce competition as the products have many substitutes. Therefore the undisrupted supply of finished products, the clothes, should be maintained to ensure the company’s sustainability. It can be attained by administering the integrated inventory from 1st tier suppliers to customers. Considering the variability and dynamic environment of the supply chain, we propose a discrete event simulation using Anylogistix to have the best inventory control. Incorporating 4 scenarios related to a varied set of initial stock, storage policy, and production speed, we found that the 4th scenario gives the best result, yielding the highest profit.