Industrial System Optimization and Engineering

1. Background

The Industrial System Optimization and Engineering Laboratory is one of the academic and research laboratories within the field of Industrial Engineering. This laboratory focuses on the development, application, and evaluation of optimization methods, engineering analysis, and decision-support approaches to improve the performance of industrial systems.

In response to the increasing complexity of modern industrial challenges, the laboratory plays an important role in supporting teaching, research, and community engagement activities related to system optimization, production planning, logistics, supply chain management, operational efficiency, and industrial engineering decision-making. The laboratory is designed to facilitate students, lecturers, and researchers in developing analytical capabilities, computational skills, and practical problem-solving competencies.

Through its academic and research activities, the laboratory contributes to the advancement of industrial engineering knowledge by integrating theoretical concepts, quantitative methods, simulation, and optimization-based approaches. It also supports undergraduate and master’s students in conducting research that is relevant to industrial needs, technological development, and sustainable engineering practices.

2. Laboratory Members

The laboratory is supported by academic staff with strong expertise in industrial engineering, optimization, systems engineering, and related fields.

Head of Laboratory:
Ir. Rosmalina Hanafi, S.T., M.Sc., Ph.D.

Members:

1. Dr. Eng. Ir. Muhammad Rusman, S.T., M.T., IPM., ASEAN.Eng
2. Dr. Ir. Syarifuddin M Parenreng, S.T., M.T., IPU., ASEAN.Eng
3. Ir. Dwi Handayani, S.T., M.T.

3. Supporting Facilities

The Industrial System Optimization and Engineering Laboratory is equipped with various facilities to support teaching, research, data analysis, and system modeling activities. These facilities are intended to enhance the learning experience and assist students in conducting research at both undergraduate and master’s levels.

The supporting facilities include:

1. Computers for data processing, modeling, simulation, and optimization analysis.
2. Optimization software applications used for mathematical modeling, system optimization, simulation, statistical analysis, and decision-support studies.
3. Learning modules and academic references related to industrial system optimization, operations research, simulation, and engineering management.
4. Data analysis and computational tools to support research activities in production systems, logistics, supply chains, scheduling, and resource allocation.
5. Research discussion space to facilitate academic supervision, group discussions, laboratory meetings, and student research development.
6. Additional supporting equipment and facilities to assist laboratory activities, practical sessions, and research projects for undergraduate and graduate students.

These facilities are continuously developed to ensure that the laboratory remains relevant to current academic standards, industrial needs, and international developments in industrial engineering education.

4. Research Roadmap

The research roadmap of the Industrial System Optimization and Engineering Laboratory is directed toward strengthening the role of optimization and engineering approaches in solving complex industrial system problems. The roadmap is designed to support research development in a systematic, sustainable, and impactful manner.

5. Standard Operating Procedures

The laboratory implements Standard Operating Procedures to ensure that all academic, research, and administrative activities are conducted in an orderly, safe, and professional manner. These procedures are established to maintain the quality of laboratory services and to support effective learning and research activities.

The main laboratory procedures include:

1. Laboratory Access and Usage
   Students, lecturers, and researchers must obtain permission from the laboratory management before using laboratory facilities. Laboratory activities should be scheduled in advance to ensure proper coordination.
2. Use of Computers and Software
   All users are required to use laboratory computers and software responsibly. Software applications must be used only for academic, research, and laboratory-related purposes.
3. Research and Practical Activities
   All research, practical sessions, and data analysis activities must be conducted under the supervision or approval of the laboratory head or appointed laboratory members.
4. Data Management and Academic Integrity
   Users are expected to maintain proper data documentation, protect research data, and uphold academic integrity in all laboratory-related activities.
5. Maintenance of Facilities
   Users must maintain the cleanliness, orderliness, and functionality of laboratory facilities. Any technical problems, damage, or malfunctioning equipment must be reported immediately to the laboratory management.
6. Safety and Professional Conduct
   All laboratory users must comply with safety guidelines and demonstrate professional behavior while conducting academic or research activities in the laboratory.
7. Reporting and Documentation
   Laboratory activities, research projects, and facility usage should be documented properly to support evaluation, accreditation, and continuous improvement processes.