Manufacturing Engineering Manager

Company DescriptionWe are a fast growing SME currently producing over 50 K machined parts a day and moving towards 1 Lakh pices per day for domestic and exports. We offer a good opportunity who can deliver the objectives and build a strong committed internal young teamRole DescriptionThis is a full-time, on-site role for a Manufacturing Engineering Manager located in Sanaswadi, Pune. The Manufacturing Engineering Manager will oversee the daily operations of the manufacturing engineering team. Responsibilities include managing process engineering activities, optimizing industrial engineering projects, and ensuring efficient manufacturing operations. Additional tasks involve coordinating with other departments, developing and implementing manufacturing strategies, and continually improving production processes to meet quality and efficiency standards.QualificationsProficiency in Manufacturing Engineering and Process EngineeringExperience in Engineering ManagementKnowledge of Industrial Engineering practicesSkills in optimizing Manufacturing OperationsExcellent leadership and team management abilitiesStrong problem-solving and analytical skillsBachelor's degree in Mechanical Engineering, Industrial Engineering, or a related fieldExperience in the hydraulics industry is a plusA Manufacturing Engineer with high expertise in Machine selection, cost per component, and Zero-Defect Manufacturing (ZDM) focuses on selecting optimal machinery, minimizing production costs, and virtually eliminating defects by integrating continuous quality improvement, advanced data analytics, and digital manufacturing technologies like Artificial Intelligence (AI) and machine learning. They ensure economic viability while continuously optimizing processes to achieve high product quality and customer satisfaction.Key Aspects of This ExpertiseMachine Selection:Identifying and selecting the most appropriate machinery to meet production requirements while optimizing for cost-effectiveness and quality output.Cost per Component Focus:Analyzing and reducing the total cost of producing each individual component by improving efficiency, minimizing waste, and optimizing resource utilization.High and Zero-Defect Manufacturing (ZDM):Implementing ZDM principles to achieve a production system that prevents defects from occurring, aiming for "do it right the first time" to eliminate errors, scrap, and rework entirely.How These Areas InterconnectData-Driven Decision Making:Modern ZDM relies on advanced data management and analytics, including AI and machine learning, to monitor processes in real-time, identify potential issues, and make informed decisions about machinery and process parameters.Process Optimization:By integrating ZDM with machine selection and cost-per-component analysis, engineers can optimize manufacturing processes for both efficiency and quality, ensuring that investments in machinery lead to higher throughput and lower defect rates.Continuous Improvement:These skills support a philosophy of continuous improvement, which is essential for achieving and sustaining zero defects and competitive manufacturing operations.Key Tools and Concepts UsedArtificial Intelligence (AI) and Machine Learning:Used for tasks like predicting quality issues, analyzing complex datasets, and optimizing process parameters to support ZDM initiatives.Digital Twins:A technology that creates virtual replicas of physical assets, allowing for simulation and optimization without disrupting actual production.Data Management and Analytics:Robust systems for collecting, managing, and analyzing manufacturing data are crucial for monitoring processes, extracting knowledge, and supporting ZDM.Decision Support Systems (DSS):Software designed to help in decision-making by providing analysis and recommendations, especially for implementing ZDM strategies.Lean Manufacturing Principles:Underlying concepts such as minimizing waste (scrap, rework) and maximizing value for the customer are integral to achieving zero defects and lower costs.