Remote Industrial Engineer - Simulation and Modeling Specialist

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Remote work flexibility

Access to advanced simulation software

Competitive salary

Medical insurance

Generous leave

Professional growth opportunities

Job summary

Placements24 seeks an experienced Industrial Engineer specializing in simulation and modeling to design, optimize, and validate complex manufacturing systems and supply chains using advanced simulation tools. This fully remote role spans South Africa, requiring strong quantitative skills and the ability to translate scenarios into precise simulations.

You will develop and validate models, perform what-if analyses, and communicate insights to management and engineering teams, supporting

Qualifications

• Master's degree in Industrial Engineering, Operations Research, Computer Science, or related quantitative field.
• At least 5 years of hands-on experience in developing and applying discrete-event simulation models for industrial systems.
• Advanced proficiency in at least one major simulation software package (Arena, AnyLogic, Simio, FlexSim).
• Strong understanding of probability, statistics, and experimental design.
• Proficiency in programming languages such as Python, C++, or Java for advanced modeling and data analysis.
• Experience with data analysis tools and techniques.
• Excellent written and verbal communication skills for virtual collaboration in a remote environment.
• Proven ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
• Experience in manufacturing environments is a significant advantage.

Responsibilities

• Develop, build, and validate complex simulation models of manufacturing systems, production lines, and supply chains.
• Utilize simulation software (e.g., Arena, AnyLogic, Simio) to analyze system performance, identify bottlenecks, and evaluate throughput.
• Conduct 'what-if' analyses to test different scenarios, operational strategies, and design modifications.
• Quantify the impact of proposed changes on cost, efficiency, lead time, and resource utilization.
• Present simulation results, insights, and recommendations to stakeholders through reports and visualizations.
• Collaborate with project teams to define model scope, data requirements, and validation criteria.
• Develop and maintain a library of simulation models and best practices.
• Stay current with advancements in simulation software, techniques, and industrial engineering best practices.
• Assist in the design of experiments (DOE) for validation and optimization studies.
• Support the implementation of validated solutions by providing insights for system setup and configuration.

Skills

Discrete-event simulation

Python

C++

Java

Data analysis

Communication skills

Remote work

Education

Master's degree in Industrial Engineering, Operations Research, Computer Science, or related quantitative field

Tools

Arena

AnyLogic

Simio

FlexSim

Job description

About the Role

Our client, a leader in advanced manufacturing solutions, is seeking a highly skilled Industrial Engineer with a specialization in Simulation and Modeling. This is a 100% remote position, enabling you to work from anywhere in South Africa. You will be at the forefront of designing, optimizing, and validating complex manufacturing systems and supply chains through sophisticated simulation modeling. Your expertise will be crucial in predicting system performance, identifying potential risks, and evaluating various design alternatives before implementation, thereby minimizing costly errors and maximizing efficiency. We are looking for an individual with a strong quantitative background, advanced modeling skills, and the ability to translate complex scenarios into accurate and insightful simulations. This role demands self-discipline, excellent communication for virtual collaboration, and a passion for leveraging data to drive strategic decisions in manufacturing operations.

Key Responsibilities

• Develop, build, and validate complex simulation models of manufacturing systems, production lines, and supply chains.
• Utilize simulation software (e.g., Arena, AnyLogic, Simio) to analyze system performance, identify bottlenecks, and evaluate throughput.
• Conduct 'what-if' analyses to test different scenarios, operational strategies, and design modifications.
• Quantify the impact of proposed changes on key performance indicators such as cost, efficiency, lead time, and resource utilization.
• Present simulation results, insights, and recommendations to stakeholders, including management and engineering teams, through clear and compelling reports and visualizations.
• Collaborate with project teams to define model scope, data requirements, and validation criteria.
• Develop and maintain a library of simulation models and best practices.
• Stay current with the latest advancements in simulation software, techniques, and industrial engineering best practices.
• Assist in the design of experiments (DOE) for validation and optimization studies.
• Support the implementation of validated solutions by providing insights for system setup and configuration.

Requirements

• Master's degree in Industrial Engineering, Operations Research, Computer Science, or a related quantitative field.
• A minimum of 5 years of hands-on experience in developing and applying discrete-event simulation models for industrial systems.
• Advanced proficiency in at least one major simulation software package (e.g., Arena, AnyLogic, Simio, FlexSim).
• Strong understanding of probability, statistics, and experimental design.
• Excellent analytical and problem-solving skills, with the ability to model complex systems accurately.
• Proficiency in programming languages such as Python, C++, or Java is highly desirable for advanced modeling and data analysis.
• Experience with data analysis tools and techniques.
• Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
• Proven ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
• Experience in manufacturing environments is a significant advantage.

Benefits

• Attractive salary package, reflective of specialized skills.
• Comprehensive medical insurance.
• Retirement savings plan.
• Generous annual leave.
• Full remote work flexibility, allowing you to work from anywhere in South Africa.
• Access to cutting-edge simulation software and technologies.
• Opportunities for continuous learning and professional growth in a specialized field.
• Be part of innovative projects driving efficiency in manufacturing.