(Demand Planner & Forcaster_CPDF)
Hilti Saudi Arabia
Total years of experience :13 years, 10 Months
Professional experience:
Hilti Saudi Arabia, Material Planner, from July 2010
• Ordering and communicating with Head Quarter in Liechtenstein (HILTI AG)
• Working under the Material Management Dept. (Logistics).
• Demand Planning, Forecasting and Coordinating with Sales & Marketing managers as well as Key Project Managers.
• Working on Microsoft Dynamics NAVISION.
• Tracking orders, shipments and updating stocks, inspections of materials.
• Material Ordering & Planning for Sea and Air orders.
• Material Handling for Hilti SA and maintaining material status.
• Calculating Obsolescence report for Hilti SA.
• Analyzing and maintaining TABCD-XYZ, Safety Stock Analysis, and Service Policies.
• Managing all the Material and Procurement related topics.
1.Material Management 2.Transportation Management 3.Warehousing Management
Stock Control Space Management Inventory Management
Marketing Adversiting Public Relationship management
Course Objectives • Establish the framework for demand forecasting in the supply chain. Specific methods and techniques are presented within the context of the overall process. • Teach the most accurate, reliable and relevant techniques. The methods discussed, many representing the current state of the art, are the ones that have proved to be most useful and reliable to practicing forecasters. • Introduce a four-step process for streamlining the forecasting cycle. In doing so, we end up with the PEER process that unifies techniques while simplifying the role of data, models and forecast presentations in the forecasting cycle. • Demonstrate the most accurate and reliable relevant techniques for data analysis and forecasting in a corporate setting. The use of graphics in analysis and display increases the quality of your work while shortening your throughput. • Complement nontraditional methods with established approaches in forecast model development. The robust/resistant methods produce results that are less subject to departures from conventional assumptions and to the distortions caused by a few outlying data values. • Refocus the attention of practitioners away from the mechanical execution of software programs and to a greater understanding of data and the processes generating data. • Embrace collaborative forecasting as a key ingredient to realizing excellence in forecasting and planning among organizations and with trading partners. The field sales input, collaboration with partners and customers, and the Sales and Operations process helps assure that your forecasts receive credibility and acceptance among the end-users.