SAP APO, PP Consultant firstname.lastname@example.org
An astute professional with over 5+ years of experience as SAP APO DP, SNP, PPDS, PP, MM Consultant.
Expertise in designing, configuring, testing, implementing and supporting SAP SCM solutions using Demand Planning DP, Supply Network Planning SNP, Production Planning Detailed scheduling PP/DS and Core Interface CIF
Created Batch jobs/Planning jobs/Background mass processing reports to automate - MRP and scheduling optimizer runs in PP/DS, conversion of SNP orders, conversion and release of production orders, forecast consumption and deletion, heuristic and capacity leveling runs in SNP
Experience in configuration and implementation of DP Info Cubes using administrative workbench, Generating and changing Characteristic Value Combinations, Planning books, Planning Areas, Macros, creating Statistical Forecast Profile Consensus Planning.
Worked on SNP, PP/DS planning runs, heuristics, optimizer, interactive and automated production planning and scheduling, reporting KPI's, maintaining PDS, converting SNP Orders to PP/DS orders, Master Data integration via CIF with R/3.
Maintaining Time bucket profiles, Forecast profiles, planning versions, promotional Planning, life cycle management and Like Modeling.
Created SNP Master Data Profiles and worked on SNP Heuristics, Optimizer and Capable to match CTM, Deployment and Transport Load Builder TLB planning methods and techniques.
Evaluated and transferred the planning results in SNP to SAP ECC for execution
Involved in Projects utilizing the SAP R/3Production Planning PP module with thorough knowledge of Material requirement planning MRP, Bill of materials BOM, Work Centre, and Routings etc
Clear understanding of cross-functional applications of MM, PP and SAP APO in Industrial scenarios
Have complete knowledge in systems understanding for different testing phases
Good in interacting with the business teams in technical issues for fast workaround or resolution.
Excellent analytical communication skills and ability to interact with business users. Able to translate business requirements into deployable business solutions and work in team environment, and conduct training sessions to business users across multiple disciplines
ERP : SAP ERP ECC 6.0 & SCM 7.1
SAP Modules : SAP APO,PP, QM,MM,BW,BPC
Operating Systems: : Windows XP, Vista, Windows 8, Mac OS X
Project Management Reports: MS Project, MS Office Suite, MS Visio
Document Management: SharePoint
MASTER OF BUSINESS ADMINISTRATION
B.SC COMPUTER SCIENCE
April 2018 – Till date
APO, PP, QM,MM
Outokumpu is the global leader in stainless steel. Our customers use it to create civilization’s basic structures and its most famous landmarks. Stainless steel is sustainable, durable and designed to last forever. We aim to be the best value creator in stainless by 2020, through our competitive edge of customer orientation and efficiency. The foundation of our business is our ability to tailor stainless steel into any form and for almost any purpose. Outokumpu employs 10,000 professionals in more than 30 countries, with headquarters in Helsinki, Finland and shares listed in Nasdaq Helsinki.
Roles and Responsibilities
Worked on APO,PP Master data set up
Involved in complete life cycle implementation from assessment, project preparation to after go-live support.
Setup APO-based master data for SNP planning: Planning calendars, transportation lanes, appropriate material attributes. Worked on testing of MM, SD related as per the business requirements
Resolved planning run problems, master data conversion errors performed root cause analysis of alert issues and resolved data/live Cache inconsistencies in SNP
Provided ongoing support of heuristics and optimizer for SNP planning for different product families
Set up SNP Master Profile and configured SNP Master Data Locations, Product Masters, Resources and Production Process Model.
Created a Supply Chain Model to represent the Supply Chain Network with all relevant locations, resources and relationships Transportation Lane
Implemented Deployment and TLB Transport Load Builder functionalities. Implemented fair share rules, Push vs Pull strategies and ATD available to deploy
Participated in configuration and customization of PP functionalities: Master Data (Materials, BOMs, Resources and Production Versions), Product Master Data, MRP, Work centers, Routing.
Configured and executed the shop floor activities including creation of orders, conversion of planned orders, printing of shop papers, goods movements, order confirmations and availability check
Involved in complete testing life cycle of SIT,ST,UST
Closely interacted with users on explaining the technical aspects based on the business process.
Dec 2016 –March 2018
SABMiller plc was a multinational brewing and beverage company headquartered in, England . and was also a major bottler of Coca-Cola. Its brands included Fosters, Miller, and Pilsner Quell. It operated in 80 countries worldwide and in 2009 sold around 21 billion liters of beverages. The acquisition of SABMiller by Anheuser-Busch InBev on October 10, 2016 ended the corporate use of the name SABMiller; this entity became a business division of Anheuser.
Roles and Responsibilities
Implemented APO DP, and SNP modules. Provided data sources for SAP BW on the OLTP online transaction processing side, created Info Objects in the system and summarized them to Info Sources, created transfer structures, transfer rules, and communication structures, defined Info Cubes and update rules.
Studied Forecasting Process by carrying out forecast at different aggregation levels using different forecast models and arrived at optimum solution by comparing forecast accuracy.
Managed configuration of DP and SNP, prototyping Capable-To-Match CTM, Integration Models in CIF
Set up SNP Master Profile and configured SNP Master Data Location and Product Master, Revenue, Transportation Lane and Production Process Model PPM
Performed SNP Runs using SNP Heuristics and SNP Optimizer.
Maintained Quota Arrangements for the use of SNP Heuristics and Creation of Optimizer Profile and SNP Cost Profile
Created Transport Orders for multiple products using Transport Load Builder TLB based on the results of the Deployment Run
Provided Solutions to the gaps identified by business in using Life Cycle Planning and addressed these issues by modeling the solution with Like profiles, Phase In and Phase out profiles to address Business's specific requirements
Defined Planning Books and Data Views for interactive Demand Planning.
Worked on SBP & PBP.
Worked on Proportional factors
Worked on DP interactive planning, Univariate forecasting, Mass processing
Worked on BW file extraction.
Release forecast to SNP.
Assigning planning book and data view to users.
Handling incident related to SAP DP
Worked on Ticketing Tools
Mar 2016– July2016
DuPont describes itself as a global science company. DuPont businesses are organized into the following five categories, known as marketing "platforms": Electronic and Communication Technologies, Performance Materials, Coatings and Color Technologies, Safety and Protection, and Agriculture and Nutrition The agriculture division, DuPont Pioneer makes and sells hybrid seed and genetically modified seed some of which goes on to become genetically modified seed Genes engineer.
Roles and Responsibilities
Worked on BPC tool
Handled entire DP configuration objects like Planning Areas, Planning Object Structures, Storage and Planning Buckets Profiles, Forecast profiles, Alert Monitor, Lifecycle Planning, Mass processing and Characteristic value combinations.
Designed robust solution to facilitate complex Realignment requirements in Demand Planning based on clients Business processes.
Addressed bottleneck issues in performance through initiatives to effectively employ suitable aggregates, Improved the read access in Planning Books.
Worked on DP interactive planning, Univariate forecasting, life cycle planning, like modeling, phase-in, phase-out, Mass processing, Realignment
Configured Parallel processing profiles for time consuming DP Batch processes and derived benefits from its application, reduced the processing time
Configured navigational attributes for Location in Demand Planning, Maintained and generated Demand Planning master data, Created Master Forecast profiles, worked with Univariate, Multiple Linear Regression MLR /Casual and Composite forecasting methods.
Set up SNP Master Data - Product, Location, Customer, Resources, Transportation Lanes, Set up Supply Chain Model.
Created the TLB Profile and assigned it to appropriate Transportation Lane, created and maintained Transportation Lanes and Quotas
Helped users in integration testing and provided support on planning.
June 2014- Sep 2016
KONE officially typeset KONE and pronounced, founded in 1910 and headquartered in Helsinki, Finland, is an international engineering and service company employing some 49,000 personnel worldwide. The firm is the 4th largest manufacturers of elevators and escalators worldwide, and also provides maintenance services and modernization. In addition, KONE builds and services automatic doors and gates. The company provides local service for builders, developers, building owners, designers and architects in 1,000 offices in over 50 countries Since 1924, KONE has been owned by one of Finland's wealthiest families.
Roles and Responsibilities
Extraction of Data from BW to APO
Involved in the gathering of requirements from the business users. Documented the user requirements and created functional requirements for the same.
Configured Sales and Operation Planning with flexible planning.
Studied forecasting process by carrying out forecast at different aggregation levels using different forecast models, and arrived at optimum solution by comparing the forecast
Involved in the Creation of Master Planning Object Structure, Planning Areas, Characteristic Value Combinations CVCs, Master Data and Time Series Objects, Storage Bucket profile and Planning Bucket Profile for monthly buckets and weekly buckets
Created new selections for the planning books associated to the existing Planning Area
Involved in the creation of Master Planning Object Structures, Planning Area, Characteristic combination master data and Time Series Objects, Storage Bucket Profile and Planning Bucket Profile for monthly and weekly buckets.
Created Data Structure for Demand Planning such as Characteristics, Key Figures and Structure Overview
Worked on the configuration of the Planning Object Structure and Planning Area
Master data of ECC and its corresponding set up of APO
Regular monitoring of Queue and jobs
Forecasting was done keeping the constant, seasonal and sporadic nature of the demand.
Worked on Macros.
Realignment & Lifecycle Planning.
Release to SNP.