الوصف الوظيفي
Your tasks and responsibilities: You will actively advise and support Supply Chain Management (SCM) stakeholders, to continuously optimize business processes with the Lean-method approach and to ensure productivity improvement and increased efficiency You will be responsible for the planning and performing of detailed Data/Time management process analysis in the production environment units of thestakeholders to identify potential for process optimization and the determination of resilient Master Data You will co-operate with Warehouse Logistics 3rd party vendor firms regarding the stakeholder business model, e.g. on topics like Warehouse Planning Times Master Data and its design You will co-operate with local 3rd party supplier firms of certain Industrial Engineering topics Preparation and implementation of KPI-Reporting with the SCM-stakeholder Global co-operation with other Industrial Engineering units within Seiemens healthineers for knowledge exchange and sharing expertise You will plan and moderate workshops for continuous process optimization of stakeholder business processes by applying the HPS-Core methods (Hoshin Kanri, Value Stream Mapping, Structured Problem Solving (A3) und Agile Visual Management Your qualifications and experience You have successfully completed a bachelor’s or master’s degree in mechanical engineering, Industrial Engineering or Business Administration (ideally with a focus on Supply Chain Management and Logistics) or an equivalent education. You have at least 6 years of experience in the field of Industrial Engineering You have completed Basis REFA International training in Data/Time Management determination (e.g. Time Study technology) and the usage of IT-Application You have already gained good experience in topics such as Production Processes and Process Planning You have very good knowledge of MS Office and SAP P41 You have excellent communication skills and presentation skills.
لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.
