11 Anylogic Jobs

Role & responsibilities BE / B.Tech in Mechanical / Industrial Engineer / Production Engineer 2 to 6 years of Total experience Minimum 1.5 years particularly in Siemens Tecnomatix Plant simulation (Might also be referred as PlantSim, Plant Simulation, Siemens Plant Simulation) Or Minimum 1.5 years of experience in Anylogic simulation software Project execution & project lead experience. Comfortable using Excel for Data analysis and presentation Proficient experience in Leading multiple simulation projects, interact with various customers, handling the team members to meet the customer project deliverables & expectation. Expert in Tecnomatix plant simulation & Anylogic 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.

About The Role Project Role : Technology Architect Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have skills : Manufacturing Operations Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : BE or BTech or MTech Summary :We are seeking an accomplished Simulation Architect with deep expertise in designing and deploying advanced industrial simulation systems for both brownfield and greenfield environments. This role will lead to large-scale simulation initiatives across process and discrete manufacturing & warehouse, leveraging AI-led, Agentic, and data-integrated simulations to drive performance, layout, capacity, and throughput optimization. The candidate will bring hands-on experience in leading platforms including Siemens Technomatix, DELMIA, FlexSim, and AnyLogic, and will have a proven record in integrating simulation models with real-time operational data, 3D twins, and AR/VR for immersive collaboration. The candidate will be a trusted advisor to CTOs and senior client stakeholders on simulation-led transformation journeys. Roles & Responsibilities:Architect, design, and deliver simulation solutions across manufacturing, warehousing, and industrial systems. Lead simulation for both greenfield setups and brownfield optimizations, focusing onProcess optimization and throughput modeling Discrete event and agent-based simulation Virtual commissioning and real-time scenario planning Develop and integrate Operations Twins by linking simulation platforms with live plant/factory/warehouse data sources. Deliver end-to-end solutions for layout planning, capacity analysis, and performance optimization. Collaborate with industrial designers, data engineers, and AI specialists to embed agentic and ML/AI techniques into simulation models. Guide AR/VR-enabled visualization for collaborative engineering reviews and digital twin experiences. Standardize reusable simulation modules, libraries, and automation workflows to scale across industries and geographies. Ensure integration with MES/ERP systems, IoT platforms, and enterprise data lakes for continuous operational insights. Act as a trusted advisor to CTOs and senior client stakeholders on simulation-led transformation journeys. Design and define end-to-end simulation strategies tailored to client needs across industries and operational landscapes. Develop scalable simulation reference architectures that integrate with Digital Twin platforms, Edge/Cloud infrastructure, and AI/ML ecosystems. Lead the formulation of simulation-related Points of View (PoVs), thought leadership, and innovation frameworks to drive early origination. Establish best practices, maturity models, and adoption roadmaps for industrial simulation at enterprise scale. Drive the creation of reusable templates, capability frameworks, and simulation centers of excellence across global delivery teams. Influence roadmap decisions for digital manufacturing, intelligent operations, and autonomous systems through simulation-driven foresight. Professional and Technical Skills: Must have Skills: Proven expertise in leading simulation tools such as Siemens Technomatix Plant Simulation, DELMIA, AnyLogic, FlexSim, or equivalent. Hands-on in simulation development, debugging, and integration with PLC logic, SCADA, or control models. Experience with industrial digital twin ecosystems including NVIDIA Omniverse, Unity, and AR/VR solutions. Strong knowledge of production line balancing, warehouse slotting/logistics simulation, and robotic path optimization. Understanding of AI/ML and agent-based decisioning models integrated with simulation environments. Proficiency in scripting languages (Python, Java, VBScript) and API-based integration methods. Experience in deploying and scaling simulation solutions across Automotive, Life Sciences, Consumer Goods, and High-Tech industries. Experience in large transformation engagements with factory network planning, warehouse redesign, or process reengineering. Ability to manage stakeholder communication across engineering, manufacturing, and business functions. Strong architectural thinking with ability to define simulation governance frameworks, center of excellence, and reuse accelerators. Contributed R&D or innovation in simulation practices and integration with AI-based prescriptive decision systems. C-suite advisor & storyteller with outcome-first mindset. Good to have skills:Certifications in simulation tools (e.g., Siemens Tecnomatix Certified, AnyLogic Expert Level). Exposure to Industry 4.0 frameworks, ISA-95 architecture, and Smart Manufacturing standards. Deep domain understanding in at least one vertical industry such as CPG, Automotive, Industrial Equipment, Life Sciences, or Aerospace. Strong communication and presentation skills to interact with CXOs, plant heads, and product teams. Architectural authority balancing speed, safety, and scale. Change leader who can operationalize simulation on real shop floors. Additional InfoBachelors or master's in industrial engineering, Mechanical, Mechatronics, or Systems Engineering. A minimum 20 years of experience in simulation-led industrial engineering and digital twin solutions is required. This position is based at Bengaluru location. Qualification BE or BTech or MTech

Purpose India faces a multi-faceted challenge as it aims to become a developed country by 2047 while ensuring food and nutritional security and meeting its net-zero emissions goals. Central to these ambitions are the Agriculture and allied, Forestry, and Other Land Use (AFOLU) sectors. These sectors are crucial because they are not only highly vulnerable to climate change but also significant contributors to it. To reach India&aposs extensive developmental and environmental goals, a fundamental reassessment and evolution of the AFOLU sector is necessary, involving a comprehensive approach to food systems transformation. Considering this complex challenge, CEEW seeks to assess the role and socio-economic and environmental impacts of alternate protein production and consumption in India. In this context, CEEW seeks an LCA Consultant to expand its capacity for conducting cutting-edge research on sustainable food systems. The successful applicant will assist the team members in undertaking robust quantitative analysis. In addition to the duties and responsibilities outlined below, the Consultant should be prepared, as and when necessary, to take on additional responsibilities and respond to events and developments that cannot be anticipated easily. Job duties and accountabilitie sResearc h? Independently manage allocated work-streams on quantitative and quantitative applied research on varied food system issues. Such workstreams include but are not limited to (i) identification of optimal research question(s), (ii) designing the research approach/framework (iii) if required, development and execution of primary data collection (iv) if required, systematic literature reviews (v) if required, conducting stakeholder consultations, (vi) conducting the relevant analyses using appropriate qualitative and/or quantitative tools (e.g. MS Excel, Open LCA/SimaPro,etc. ), and (vii) presenting the analyses in a coherent narrative in different format s? Travel to field sites, whenever necessary, to conduct fieldwork including focus group discussions, interviews, meetings, training or gather primary informatio n? Proactively supporting team in effectively operationalizing the CEEWs Arc of Learnin g? Regularly track policy measures taken by the government and its implementation status related to sustainable agriculture and sustainable food systems in India and the Global South .? Write high-quality research reports, publish in leading peer-reviewed journals and generate other knowledge products for the different audience such as blogs, policy briefs in regular interval s? Establishing and managing relationships with project counterparts from CEEWs partner s Project/programme Assistan ce? Support the senior researchers in conceptualising new projects, development of high-impact research proposals, and applications for research and general donor fundi ng? Support effective outreach of research outputs through coordination with the outreach team, engagement with a broader network of stakeholders, and concerned policymake rs? Participate in relevant conferences, workshops, training programmes for a comprehensive understanding of developments relevant to sustainable agriculture and allied sector and alternate protein s.? Support senior team members for important meetings and sessions, prepare notes and conduct follow-ups, as required ? Participate in weekly team meetings and assist with preparing minutes and chairing the weekly meeti ng Selection Criteria and Key ski lls? Master&aposs degree in environmental science/ environmental management/ food systems/ sustainable engineering/ agricultural or ecological economics or any other relevant field relevant to food system transformati on.? A minimum of two years of relevant research experience in environmental Life Cycle Assessment with food systems relevance is expect ed. Exposure to jobs and market potential estimation and corporate engagement is desirable. Candidates who have developed relevant specialist skills will be given a strong preferen ce.? Analytical skills and knowledge of mixed methods qualitative and quantitative research methods - relevant for food systems analysis, strategic planning, GHG accounting from AFOLU sector, political economy analysis, stakeholder engagement, impact evaluation, e tc.? Project management skills to independently manage research workstre ams? Familiarity with IPCC Guidelines on GHG inventory calculations, food and agriculture issues, policy areas and consumer tre nds? Strong communication skills for effective, efficient, and adaptive verbal and written communication, and active listening along with experience in managing stakeholders, conducting workshops, convenings, etc. (preferr ed)? Ability to use MS Office application su ite? Desirable: Relevant publications in peer-reviewed journals/book chapt er s? Desirable skills: SimaPro/ OpenLCA/ other LCA software (any one mandatory), R/Stata/Python (any one preferred) other statistical software; Vensim, STELLA, AnyLogic QGIS, ArcGIS (preferred) and environmental and land-use modell ingIf you are passionate about bringing sustainability from margins to mainstream by catalysing a system-wide transition at speed and scale, we would like to speak to you. CEEW operates in a dynamic environment and the candidate will be required to show flexibility in undertaking a variety of tas ks. Compensa tionCompetitive compensation commensurate to the experience and matching the best of standards adopted by industry or other similar organisations for similar ro les. Application Pr ocessCEEW is an equal opportunity employer, and the selection process does not discriminate on the basis of age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to apply. Only shortlisted candidates will be notified by us. We appreciate your inte rest. Show more Show less

Expert in DES- Tecnomatix plant simulation & Anylogic simulation software. Plant simulation, plantsim, Siemens plant simulation ,powerbi, tecnomatix , anylogic simulation

You will be responsible for creating and executing material flow simulation process models using discrete event simulation methodology. This includes developing new models and modifying existing ones in Tecnomatix Plant Simulation. You will also be validating simulation models and working on scenarios to optimize key performance indicators (KPIs). Communication with the team and customers throughout the project execution, as well as documentation of project data and results, will be important aspects of this role. To excel in this position, you must have exposure to Discrete Event Simulation methodology and a willingness to learn. Strong communication and presentation skills are essential, along with an understanding of Industrial Engineering concepts. Proficiency in object-oriented programming, particularly in languages like C/C++ or Python, and comfort with writing logics are required. Additionally, you should possess a strong analytical mindset, problem-solving skills, and a good grasp of statistics. Experience with data visualization tools such as Power BI would be advantageous. Being highly motivated, self-driven, and having a proactive approach to learning are traits that will contribute to your success in this role. The ideal candidate will have a Bachelor's degree in Mechanical Engineering (Btech/BE) and 1-3 years of relevant experience in simulation modeling, particularly using tools like Plant simulation, Flexsim, Automod, or Anylogic.,

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.

Role & responsibilities: - Develop, validate, and maintain discrete event simulation models for process optimization and decision support.- Analyze system performance, identify bottlenecks, and recommend improvements based on simulation results.- Collaborate with cross-functional teams to gather data, define system parameters, and implement simulation-driven solutions.- Conduct experiments and sensitivity analyses using simulation models to assess various operational scenarios.- Interpret and present simulation findings to stakeholders in a clear and actionable manner.- Integrate simulation models with real-world data and other analytical tools for enhanced decision-making.- Stay up to date with advancements in simulation techniques, tools, and industry best practices. Preferred candidate profile: Bachelors or Masters degree in Industrial Engineering, Operations Research, Systems Engineering, or a related field.- Experience with discrete event simulation software (e.g., AnyLogic, FlexSim, Plant Simulation).- Strong analytical skills and proficiency in statistical analysis.- Proficiency in programming/scripting languages such as Python, VBA, or Java for model enhancement.- Understanding of manufacturing, supply chain, or logistics processes.- Excellent communication and problem-solving skills.- Ability to manage multiple projects and meet deadlines.