Operation Scheduling for Yarn Production with The Autonomous Distributed Manufacturing Systems (ADiMS) Concept

Muhammad Zulfahmi Febriansyah, Fauzi Aji Setia

Abstract


The textile industry is one of the Indonesian priority industries for the Industry 4.0 development program. There are a lot of textile industries still in the Industry 2.0 phase. These industries need to adopt Industry 4.0 concepts without automating the production operation to compete with their rivals. The digital twin and Autonomous Distributed Manufacturing Systems (ADiMS) concept were used to implement Industry 4.0 in this case. The objective of this research is to develop an operation scheduling system that can distribute the yarn manufacturing scheduling task to each workstation in a virtual production system using the ADiMS concept. Every actual manufacturing component in ADiMS is simulated in a virtual production system to interact with one another and make decisions; then a process-based product model is developed to capture all the conditions from yarn production in real production systems. Each production element is modeled as an object in Python programming. The simulation is set up to have 31 machines that are ready to be used for production scheduling and 2 types of products. The operation scheduling system with the Autonomous Distributed Manufacturing Systems (ADiMS) concept for yarn production has been created and simulated in a virtual environment and shown the operation schedule that fits the desired criteria.

Keywords


Industry 4.0, Autonomous Distributed Manufacturing Systems (ADiMS), Digital Twin, operation scheduling

Full Text:

PDF


DOI: http://dx.doi.org/10.22441/jtm.v14i3.33405

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Jurnal Teknik Mesin (Journal Of Mechanical Engineering)

Jurnal Teknik Mesin (JTM)
Program Studi Teknik Mesin, Fakultas Teknik, Universitas Mercu Buana
Jl. Meruya Selatan No. 01, Kembangan, Jakarta Barat 11650, Indonesia
Email: [email protected]
Telp.: 021-5840815/ 021-5840816 (Hunting)
Fax.: 021-5871335

JTM is indexed by the following abstracting and indexing services:

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

View My Stats