932 Lean Manufacturing Jobs - Page 18

Experience: 2 to 6 years in machining or process industries. Technical Expertise: Comprehensive understanding of manufacturing processes. Proficient in reading and interpreting engineering drawings. Experience with implementing lean manufacturing techniques. Hands-on experience with 5-Axis, 4-Axis, and 3-Axis HMC and VMC machines. Expertise in advanced tooling methodologies and cutting parameter optimization. Skilled in CNC programming for Fanuc and Siemens controls. Proficiency in design tools, including CATIA, UG NX, and AutoCAD. Communication Collaboration: Excellent written and verbal communication skills. Strong team player with the ability to collaborate effectively in a dynamic, fast-paced environment. Problem-Solving: Proven expertise in troubleshooting and resolving shop floor challenges in daily operations. Capable of analyzing and executing tasks based on engineering drawings, procedures, reference sketches, weld plans, test plans, shift schedules, and planning documents. Standards Compliance: Knowledge of ISO standards, including QMS (Quality Management System), EMS (Environmental Management System), and EHS (Environmental, Health, and Safety). Work Flexibility: Willingness to work in rotating or multiple shifts as required.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

At Marquardt India, we are currently hiring a Senior Engineer for Lean Manufacturing / Operational Excellence / Continuous Improvement / Shopfloor Improvement at our plant in Talegaon. Role & Responsibilities : 1) To successfully implement lean projects like Value Stream Mapping, labeling, synchronization, and pull systems 2) Pay attention to the full plant visualization 3) Implementing 5S in a new plant 4) Operatory and discussion training for shop floor personnel 5) A stronger emphasis on cost reduction 6) Branding involvement with CII (Confederation of Indian Industry) and ACMA (Automotive Component Manufacturing Association of India) Interested candidates can share their updated resume on - sheetal.gaikwad@marquardt.com

Develop, implement, and maintain quality management systems (QMS) in compliance with industry standards (e.g., ISO 9001, IATF 16949, or other relevant certifications). Ensure adherence to customer-specific quality requirements and regulatory standards. Conduct internal audits and prepare for external audits to maintain certifications. -Process and Product Quality: Monitor and analyze production processes to identify areas for improvement and reduce defects. Oversee incoming material inspections, in-process quality checks, and final product testing. Implement statistical process control (SPC) and other quality tools to maintain consistent product quality. -Team Leadership: Manage and mentor a team of quality engineers, inspectors, and technicians. Provide training on quality standards, procedures, and tools to plant personnel. Foster a culture of quality and accountability across the organization. - Problem Resolution: Lead root cause analysis and corrective action processes for quality issues using tools like 8D, 5-Why, or Fishbone diagrams. Collaborate with suppliers and customers to resolve quality-related concerns. Implement preventive measures to minimize recurrence of quality issues. - Customer and Supplier Interaction: Act as the primary point of contact for quality concerns. Work with suppliers to ensure incoming materials meet quality standards. Support new product launches by ensuring quality requirements are met during development and production. - Documentation and Reporting: Maintain accurate records of quality inspections, audits, and corrective actions. Prepare and present quality reports to plant leadership and corporate teams. Ensure compliance with documentation requirements for regulatory and customer audits. Requirements Education: Bachelor\u2019s degree in engineering, manufacturing / Diploma in automobile / Mechanical Experience: 7 - 10 years ofexperience in quality management within a manufacturing environment. 4+ years in asupervisory or managerial role. Experience withautomotive industry-specific standards Skills: Proficiency inroot cause analysis and problem-solving methodologies. Excellentleadership, communication, and interpersonal skills. Ability toanalyse data and use quality software (e.g., Minitab, SAP, or similar).a Familiaritywith lean manufacturing and continuous improvement principles. WorkEnvironment Primarily basedin a manufacturing plant with exposure to production areas. May requireoccasional travel to supplier facilities, or corporate offices. The ability towork under pressure and manage multiple priorities in a fast-paced environment.

Job Description: Looking for a resourceful and energetic Project Specialist to manage and assist with production processes, supply chain management, Equipment vendor, procurement, and finance management. Preferred candidate is a strategic problem solver who can lead and work with cross-functional teams to manage changes, create, structure, and maintain BOMs. Track deliverables from engineering development builds to production release. Create, manage and process engineering change orders, manufacturer change orders and deviations. Work on building an extensive matrix to track deliverables and project milestones Create purchase requisitions, maintain invoice tracking and generate goods receipts. Work on multiple projects simultaneously. Responsibilities SAP in terms of BOM management, Purchase requisition, PDM. Project financial expense tracking. Understanding & co-ordination of budgets/Capex for product manufacturing and upgrading processes. Project management experience for NPI or Transfer projects by working with site CFT Support in Design & development of assembly lines based on lean manufacturing process. Broad knowledge of product design, manufacture and assembly techniques. Develop and implement product quality standards. Setup assembly line for NPI/Transitions. Develop and arrange production equipment, jig, fixtures materials, and parts based on product specifications. Develop SOS, Line balancing & Time Study. Estimate resource requirements, workload assignment, production times and schedule for manufacturing processes. Coordinate with design & and operations teams to develop manufacturing plans for new products to achieve cost and quality objectives. Identify, Develop & deploy automation possibilities on the assembly processes. Conduct Kaizen event to improve the productivity. Skills & Education: Degree in Mechanical / Production / Industrial engineering / Electrical & Electronics from recognized and reputed college Minimum 5 to 7 years of experience in NPI environment, Project management & Process development Must have good structured BOM experience in SAP Experience with oversea suppliers Experience in Automation project will be added advantage PMI certification will be added advantage Self-learner, Proactive approach, dedicated and Sincere in work Proficient in MS Excel, MS Project & Autocad Good communication skills with English proficiency Skills & Education: Degree in Mechanical / Production / Industrial engineering / Electrical & Electronics from recognized and reputed college Minimum 5 to 7 years of experience in NPI environment, Project management & Process development Must have good structured BOM experience in SAP Experience with oversea suppliers Experience in Automation project will be added advantage PMI certification will be added advantage Self-learner, Proactive approach, dedicated and Sincere in work Proficient in MS Excel, MS Project & Autocad Good communication skills with English proficiency

Plant Operations and Production Engineers required - Shift Engineer/ Shift Supervisor / Manager / Sr. Manager role for Manufacturing gaint with Plants at Gujarat. Candidate should have good knowledge of Plant Opeartions or Plant Production.

We are Hiring for Manufacturing Engineer for Devanahalli, Bangalore Location Experience: 5 - 7 years Qualification: Diploma / BE Mechanical Job Location: Devanahalli Industry Exposure: Aerospace Industry Job Description - Lead the development and optimization of manufacturing processes for high-precision aerospace components. Apply engineering methodologies including PFMEA , DFM , APQP , and PPAP to ensure process reliability and product quality. Collaborate with cross-functional teams including design, quality, and production to ensure manufacturability and compliance. Utilize advanced materials such as Titanium , Inconel , and composites in aerospace-grade applications. Ensure adherence to industry standards like AS9100 and NADCAP throughout the production lifecycle. Use CAD/CAM tools and apply GD&T principles for precision design and manufacturing. If you are interested please share your CV on rutujak@hrworksindia.com Regards, Rutuja Kumbhare 8275023221

Job Description: 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.

Seeking an experienced and results-driven Operations Manager to oversee the day-to-day operations of our 2 manufacturing facilities. This role is responsible for managing safety, production, planning, warehouse, logistics and maintenance and team performance to ensure efficient and cost-effective manufacturing processes. Key Responsibilities: Production Management: Plan, organize, and supervise manufacturing operations to ensure timely and cost-efficient production. Monitor production schedules, and resolve delays to meet output targets& ensure OTD Coordinate with contracts, procurement and warehouse teams to align supply with demand. Process Improvement: Identify inefficiencies in the manufacturing process and implement lean manufacturing principles or continuous improvement initiatives. People Management: Lead, train, and motivate production staff, supervisors, and support teams. Health, Safety, and Compliance: Enforce safety protocols and ensure compliance with occupational health and safety regulations. Maintain a clean, safe, and efficient working environment. Budget and Cost Control: Manage operational budgets, control costs, and track key performance indicators (KPIs) Bachelor s degree in Engineering- Mechanical/ Electrical Engineering, MBA will be an added advantage 15 ~20 years of experience in operations or plant management, preferably in a manufacturing environment.

Process Improvement & Optimization Lead a team in identifying opportunities for process improvement across various manufacturing functions. Conduct work studies, analyze data, and implement lean manufacturing methodologies to optimize production processes. Develop and implement innovative solutions to streamline workflows, eliminate waste, and improve overall efficiency. Collaborate with production, quality control, and supply chain teams to ensure seamless implementation of process improvements. Productivity & Cost Management Develop and implement strategies to increase production output, reduce lead times, and enhance overall productivity. Analyze production data to identify areas for cost reduction and recommend cost-saving initiatives. Implement and monitor performance metrics to track the effectiveness of process improvement efforts. Ensure adherence to established safety standards and regulations within the manufacturing environment. Execute and coordinate the manufacturing engineering function of the plant/operations unit Support and coordinate the product and process industrialization function of the plant/operations unit initiate and execute to achieve manufacturing engineering targets according to internal and external customer expectations Execute and coordinate for investments for production equipment (e.g. production machines, assembly equipment, automation technology, etc.) and manufacturing engineering equipment (e.g. for software tools, equipment for machine installation/maintenance) initiate and implement continuous improvement activities by applying CBS methods and training measures Initiate and Implement layout, space, productivity and process improvement ideas Initiate and implement Time study, Process study, standardized working methods for productivity improvement Execute and coordinate for installation and operationalization of transfered and New developed equipment Plan and execute Safety related installation and Compliance to ESH requirement Bachelors degree in Mechanical/Industrial Engineering or a related field. Minimum 5+ years of experience in a manufacturing environment, preferably in a similar industrial engineering role.

Process Improvement & Optimization Lead a team in identifying opportunities for process improvement across various manufacturing functions. Conduct work studies, analyze data, and implement lean manufacturing methodologies to optimize production processes. Develop and implement innovative solutions to streamline workflows, eliminate waste, and improve overall efficiency. Collaborate with production, quality control, and supply chain teams to ensure seamless implementation of process improvements. Productivity & Cost Management Develop and implement strategies to increase production output, reduce lead times, and enhance overall productivity. Analyze production data to identify areas for cost reduction and recommend cost-saving initiatives. Implement and monitor performance metrics to track the effectiveness of process improvement efforts. Ensure adherence to established safety standards and regulations within the manufacturing environment. Execute and coordinate the manufacturing engineering function of the plant/operations unit Support and coordinate the product and process industrialization function of the plant/operations unit initiate and execute to achieve manufacturing engineering targets according to internal and external customer expectations Execute and coordinate for investments for production equipment (e.g. production machines, assembly equipment, automation technology, etc.) and manufacturing engineering equipment (e.g. for software tools, equipment for machine installation/maintenance) initiate and implement continuous improvement activities by applying CBS methods and training measures Initiate and Implement layout, space, productivity and process improvement ideas Initiate and implement Time study, Process study, standardized working methods for productivity improvement Execute and coordinate for installation and operationalization of transfered and New developed equipment Plan and execute Safety related installation and Compliance to ESH requirement Bachelors degree in Mechanical/Industrial Engineering or a related field. Minimum 5+ years of experience in a manufacturing environment, preferably in a similar industrial engineering role.

We are looking for a skilled professional to join our team as a Manager / Senior Manager - Production in ZF India Private Limited, located in [location to be specified]. The ideal candidate will have 6-11 years of experience. Roles and Responsibility Oversee the production process to ensure efficient and high-quality output. Develop and implement strategies to improve productivity and reduce costs. Collaborate with cross-functional teams to achieve business objectives. Analyze data and metrics to identify areas for improvement and optimize processes. Lead and motivate a team of professionals to achieve their goals. Ensure compliance with industry standards and regulations. Job Requirements Proven experience in production management or a related field. Strong understanding of software services and production processes. Excellent leadership and communication skills. Ability to analyze complex data and make informed decisions. Strong problem-solving and strategic thinking skills. Experience in managing and motivating a team.

Responsible for multiple Plant operations(Production, QA/QC, Supply Chain, Warehouse, EHS, Maintenance, Regulatory, Process improvement, Liaising). Align with business goals & improve processes. Manage performance & ensure compliance with regulations Required Candidate profile Manufacturing leader with strong results orientation, leadership & communication skills. Must have led plant operations, organized, a team player & willing to relocate. Energetic & ownership-driven.

Designation - Production Manager Company - Leading Machine and Equipment Mfg. Company Job Location - Vapi / Valsad - Gujarat Qualification - B.E./ B.Tech - Mechanical / Production / Industrial Experience - 10yr. to 20yrs. share with your friends. Required Candidate profile Responsible for handling Production activities Team Handling Strong Personality , Problem solving ability Operations Management Virtual Interview will be taken outside candidate ready for relocation

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Who you are & how you can contribute We are looking for highly skilled Manufacturing Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities: Annotate AI-driven manufacturing processes and workflows. Provide insights into automation and lean manufacturing techniques. Enhance AIs ability to understand production system optimization. Must Required Traits: Strong academic background in Manufacturing Engineering (MSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us Competitive hourly payupto 1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTE Pay will vary by project and typically is up to 1500 per hour. If you work an average of 3 hours every day, you could earn up to 90,000 per month once you clear our screening process.

Managing different departments under operataions like QC , RnD and Purchase . Solving daily issues and monitoring departmental goals.

Job Summary Who you are & how you can contribute We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Annotate AI-driven manufacturing processes and workflows Provide insights into automation and lean manufacturing techniques Enhance AIs ability to understand production system optimization Must Required Traits: Strong academic background in Manufacturing Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Job Summary Who you are & how you can contribute We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Annotate AI-driven manufacturing processes and workflows Provide insights into automation and lean manufacturing techniques Enhance AIs ability to understand production system optimization Must Required Traits: Strong academic background in Manufacturing Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Job Summary Who you are & how you can contribute We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Annotate AI-driven manufacturing processes and workflows Provide insights into automation and lean manufacturing techniques Enhance AIs ability to understand production system optimization Must Required Traits: Strong academic background in Manufacturing Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Job Summary Who you are & how you can contribute We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Annotate AI-driven manufacturing processes and workflows Provide insights into automation and lean manufacturing techniques Enhance AIs ability to understand production system optimization Must Required Traits: Strong academic background in Manufacturing Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Job Summary Who you are & how you can contribute We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Annotate AI-driven manufacturing processes and workflows Provide insights into automation and lean manufacturing techniques Enhance AIs ability to understand production system optimization Must Required Traits: Strong academic background in Manufacturing Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Job Summary Who you are & how you can contribute We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Annotate AI-driven manufacturing processes and workflows Provide insights into automation and lean manufacturing techniques Enhance AIs ability to understand production system optimization Must Required Traits: Strong academic background in Manufacturing Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Who you are & how you can contribute. We are looking for highly skilled Industrial Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities: Annotate AI-driven manufacturing processes and workflows. Provide insights into automation and lean manufacturing techniques. Enhance AIs ability to understand production system optimization. Must Required Traits: Strong academic background in Manufacturing Engineering (PhD preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us: Competitive hourly payupto 1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTE-Pay will vary by project and typically is up to 1500 per hour. If you work an average of 3 hours every day, you could earn up to 90,000 per month once you clear our screening process.