5 Anylogic Jobs

As a qualified candidate for this role, you must hold a degree in Mechanical Engineering, Industrial Engineering, or Production & Manufacturing Engineering with an excellent academic record. Additionally, a minimum of 3-5 years of experience in the manufacturing industry is required. Your skills should include proficiency with Simulation Software such as Anylogic or Siemens Tecnomatix Plant Simulation, with a minimum of 2+ years of direct modeling experience. Proficiency in Excel and PowerPoint is also essential for this role. In terms of technical background, you must have direct experience in building and analyzing DES Models using Tecnomatix or Anylogic. Experience in value stream analysis, facilities layout, production system design, manufacturing process design, and systems design thinking is crucial. You should be comfortable building models, writing scripts to run special logic, and translating process logic into simulation models. Analytical skills are key for this role, as you will be required to evaluate data output from simulation models and provide recommendations for clients. Applying mathematical operations to theoretical and practical manufacturing and industrial situations is part of the job scope. Effective verbal and written communication skills are necessary for collaborating with client team members, understanding modeling requirements, and conveying recommendations based on the problem statement. Knowledge of Layout Analysis, Operations research, Plant optimization, Discrete Event simulation, and Methods Engineering is advantageous. Experience with Monte Carlo analysis and other parametric experiments to evaluate system changes is desired. Strong analytical skills are essential for translating findings and recommendations into impactful presentations for various stakeholders.,

As a Software Engineer specializing in Simulations at Global Data Analytics, Technology in Maersk, you will play a crucial role in designing, developing, and scaling simulation systems that digitally replicate real-world environments, assets, and systems. Your primary focus will be on enabling predictive analysis, real-time monitoring, and scenario testing to support mission-critical decisions. This hands-on role is ideal for individuals passionate about complex systems, modeling real-world behavior, and building robust simulation engines or platforms. Your responsibilities will include designing and developing simulation engines, tools, and infrastructure to support digital twin applications. You will be tasked with building scalable software systems that accurately model physical, operational, and behavioral characteristics of real-world systems. Collaborating with domain experts to translate real-world systems into digital representations will be a key aspect of your role. Additionally, you will integrate simulation engines with real-time data sources for dynamic updates and predictive modeling, as well as develop and optimize algorithms for discrete-event simulation and agent-based modeling. To excel in this role, you must lead all aspects of the Software Development Lifecycle (SDLC) in alignment with Agile and IT craftsmanship principles. Constantly learning new technologies, mentoring teams, and driving a culture of research and implementation are essential components of this position. Writing secure, scalable, and clean code, along with conducting code reviews to ensure code quality, are critical responsibilities. Troubleshooting, debugging, and upgrading software and infrastructure within a DevOps culture will be central to your daily tasks. Proficiency in Python, C++, or Rust (with a preference for Python for data-driven simulations) is a foundational requirement. Experience with simulation frameworks such as SimPy, AnyLogic, Unity, Gazebo, or others is necessary. A strong understanding of system modeling, discrete event systems, continuous system dynamics, software design patterns, data structures, and algorithms is expected. While familiarity with IoT data pipelines, message brokers, multi-agent systems, reinforcement learning, optimization libraries, cloud platforms, and containerization is considered advantageous, it is not mandatory. Qualifications for this role include a Bachelor's or Master's degree in Computer Science, Engineering, Applied Math, or Physics, along with at least 5 years of experience in software engineering focusing on simulation, modeling, or complex systems. Effective communication skills, a structured and analytical mindset, excellent problem-solving abilities, self-motivation, and a collaborative spirit are highly valued traits for this position. If you are an individual who respects diverse opinions yet can drive decisions collaboratively, we encourage you to apply. Maersk values diversity and inclusivity. If you require any accommodations during the application or hiring process, please contact us at accommodationrequests@maersk.com.,

Understanding of industrial processes, supply chain management, logistics, manufacturing or other fields related to the specific industry they work in. Input gathering, data analysis, Continuous Improvement and Automation Concept preparation. Able to think on an abstract conceptual level, as well can dive into details if required. Taking the initiative and can work on various projects simultaneously if required. Develop and maintain simulation models using Technomatix Plant Simulation software for manufacturing systems and processes. Analyse and interpret simulation results to optimize production efficiency and workflows. Conduct feasibility studies for new projects using simulation models. Perform scenario analysis to identify bottlenecks, test process changes, and recommend improvements. Develop custom automation scripts to enhance simulation models. Document simulation assumptions, parameters, and findings. Develop and maintain digital twin models using Technomatix Plant Simulation to mirror physical production systems. Integrate real-time data from manufacturing systems into simulation models. Monitor the performance of digital twins and update them as system changes occur. Use of standard interface module such as OPC Classic, PLC SIM advanced etc. Collaborate with engineering teams to validate the accuracy and reliability of digital twin models. Provide insights from simulations to support predictive maintenance, capacity planning, and process optimization. Model the integration of robots, automated guided vehicles (AGVs) and other automation technologies. Analyse simulation results to optimize robot movements, throughput, and equipment utilization. Required Qualifications: BE / B.Tech in Mechanical / Industrial Engineer Minimum 5 years of experience in Technomatix Plant simulation, Flexsim simulation software project execution & project lead experience. Proficient experience in Leading multiple simulation projects, interact with various customers, handling the team members to meet the customer project deliverables & expectation. Expert in Technomatix plant simulation & Flexsim simulation software. Strong background in mathematics and statistics to develop accurate models of industrial processes. Experience in Material flow planning, Supply chain data analysis, warehouse process and material handling systems will be an advantage. Ability to read and understand Mechanical drawings, process flow design, VSM Lean manufacturing, Time study analysis, Line balancing and Assembly process planning Basic knowledge in programming languages like Python, C++, Java, Able to understand statistical model, solve logical problem and technical calculations. Able to work in a team or independently Good planning, reporting and presentation skills Should be passionate, willing to accept new challenges Good command of the English language, both verbal and written

Hello Job Seekers, Greetings of the day..... We have urgent openings for one of our Client for Hyderabad Location. Total Years : 4 + Years Position : Permanent Notice Period : Immediate to 20 Days. Location : Hyderabad (Work from office) JOB Description : Job description: Design and develop c omplex simulation models and systems to analyze material movement and people flow for new site turn-up, validate project plans, and predict and improve outcomes across various Operations domains. Collaborate with engineers, designers, and stakeholders to guide and inform decision-making. Job responsibilities: Development and implementation of sophisticated discrete event simulation models using FlexSim, AnyLogic , and advanced optimization solvers to address complex project requirements and drive data-informed decisions. Partner closely with the Simulation Lead and external clients to define project scope, elicit detailed requirements, and translate intricate simulation concepts into clear, actionable insights for diverse audiences. Conduct analysis of simulation outputs to pinpoint optimal system configurations and performance improvements, ensuring direct alignment with critical customer and stakeholder objectives. Actively contribute to technical reviews and client meetings, presenting project progress and key findings to Simulation SMEs and customers. Timely delivery of highly accurate and robust simulation models, adhering to stringent quality standards and project deadlines Effectively work on multiple concurrent simulation projects when required, proactively communicating milestones, potential risks, and strategic adjustments to Simulation SME. Assist in constructing a library of reusable and scalable simulation model components and frameworks to enhance project efficiency and accelerate future development cycles. Qualifications: Possesses a Bachelors or Masters degree in Operations Research, Industrial Engineering, or a closely related quantitative field, providing a strong theoretical foundation for advanced analytical work. Proven track record in the end-to-end development, rigorous analysis, and insightful interpretation of complex discrete event simulation models to drive operational improvements and strategic decisions. Solid grasp of fundamental statistical principles, advanced discrete event simulation methodologies, and the operational dynamics of general manufacturing environments. Hands-on proficiency with Flexsim and Anylogic simulation software , demonstrating the ability to construct, debug, and leverage sophisticated models for diverse applications. Working Knowledge of scripting languages (Python, Jscript). Exceptional analytical and problem-solving abilities, characterized by a methodical approach to dissecting complex issues and developing innovative, data-driven solutions. If anyone interested in the above Position, Please share me the updated resume to rakesh.b@yochana.com

interested candidates share cv to dikshith.nalapatla@motivitylabs.com Position: Simulation Engineer Experience: 5+ Years Skills: Simulation, Modelling, Statistics, FlexSim, AnyLogic, Python, Java Script,. Job responsibilities: • Development and implementation of sophisticated discrete event simulation models using FlexSim, AnyLogic, and advanced optimization solvers to address complex project requirements and drive data-informed decisions. • Partner closely with the Simulation Lead and external clients to define project scope, elicit detailed requirements, and translate intricate simulation concepts into clear, actionable insights for diverse audiences. • Conduct analysis of simulation outputs to pinpoint optimal system configurations and performance improvements, ensuring direct alignment with critical customer and stakeholder objectives. • Actively contribute to technical reviews and client meetings, presenting project progress and key findings to Simulation SMEs and customers. • Timely delivery of highly accurate and robust simulation models, adhering to stringent quality standards and project deadlines • Effectively work on multiple concurrent simulation projects when required, proactively communicating milestones, potential risks, and strategic adjustments to Simulation SME. • Assist in constructing a library of reusable and scalable simulation model components and frameworks to enhance project efficiency and accelerate future development cycles.