38 Stakeholder Management courses in London

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

PgMP® Exam Prep This course is designed and developed by PgMP® certified consultants and instructors. Its aim is to prepare professionals who are familiar with the principles of program management for the Program Management Professional (PgMP)® Examination. The course is based on PMI's The Standard for Program Management, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), and PMI's Program Management Professional (PgMP)® Examination Content Outline (current versions). Through this learning experience, you will explore: Program management from a PMI standard perspective, including the interdependencies between the five performance domains, the three program phases, and the ten supporting activities in this new and improved program management standard The difference between the five performance domains in the new program management standard and the five practice domains in the examination content outline The role and competencies of the program manager The difference between project managers and program managers - and their relationship in a program environment The difference between program managers and portfolio managers - and their relationship in a program environment How program managers align and manage benefits The best ways to engage and involve program stakeholder groups How to establish governance across the program life cycle What You Will Learn At the end of this course, you will be able to: Differentiate between the practice domains in the PMI PgMP® Examination Content Outline and the performance domains in The Standard for Program Management - Fourth Edition Name and describe the three phases in the program management life-cycle phases Describe the mapping of the life-cycle phases with the supporting program activities Identify the key outputs of the supporting program activities Articulate the interrelationships between the program management supporting processes and the mapping of processes to Knowledge Areas and Process Groups in the PMBOK® Guide - Sixth Edition Apply program management knowledge to answer foundation and scenario-based questions Summarize the process and eligibility criteria for earning the PgMP® credential Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Programs, projects, and portfolio definitions differences, and how they relate The definition of a component and how it relates to a program Representative program management life cycle Role of the program manager and the program office The difference between the program management practice and performance domains Program Register and Knowledge Asset Management Program registers, and how they are used to manage knowledge assets Knowledge asset management, beginning with the data, information, knowledge, and wisdom (DIKW) Model Knowledge assets and relationship to the performance domains The program manager as a knowledge asset manager Types of Programs Perspectives on programs to establish the 'right' perspective Categories of programs based on the program standard Scenario-based questions Program and Organization Strategy Alignment An overview of the Program Strategy Alignment performance domain Exploration of the elements of strategic alignment, i.e., the business case, program charter, and program roadmap Exploration of organization maturity and strategic alignment Scenario-based questions that reference both the Program Strategy Alignment performance domain and the Strategic Program Management practice domain Program Benefits An overview of the Program Benefits Management performance domain Exploration of each benefits management interaction with the representative program management life cycle: Benefits IdentificationBenefits Analysis and PlanningBenefits DeliveryBenefits TransitionBenefits SustainmentScenario-based questions that reference both the Program BenefitsManagement performance domain and the Benefits Management practice domain Program Stakeholder Engagement An overview of the Program Stakeholder Engagement performance domain Exploration of each stakeholder engagement performance domain activity: Program Stakeholder IdentificationProgram Stakeholder AnalysisProgram Stakeholder Engagement PlanningProgram Stakeholder EngagementProgram Stakeholder CommunicationsScenario-based questions that reference both the Program StakeholderEngagement performance domain and the Stakeholder Management practice domain Program Governance An overview of the Program Governance performance domain Exploration of each program governance performance domain activity: Program governance practicesProgram governance roles and responsibilitiesProgram governance design and implementationGovernance relationship within programsScenario-based questions that reference both the Program Governance performance domain and the Governance practice domain Program Life Cycle Management An overview of the Program Life Cycle Management performance domain Exploration of the three phases in the representative program life cycle: Program DefinitionProgram DeliveryProgram ClosureExploration of the interaction between program activities and integration managementScenario-based questions that reference both the Program Life CycleManagement performance domain and the Program Life Cycle practice domain Program Management Supporting Activities - Part 1 An overview of the program management supporting activities Exploration of 5 of 10 supporting activities: Program change managementProgram communications managementProgram financial managementProgram information managementProgram procurement managementScenario-based question(s) presented after each supporting activity Program Management Supporting Activities - Part 2 Exploration of the remaining 6 of 10 supporting activities: Program quality managementProgram resource managementProgram risk managementProgram schedule managementProgram scope managementScenario-based question(s) presented after each supporting activity Program Management Professional (PgMP®) Examination Application process and timeline General and special eligibility criteria International Institute's Online Learning Tool - access to sample examination questions Program Management Professional (PgMP®) Examination breakdown of domains and subdomains Terms and conditions of the exam PgMP® Professional Code of Conduct

This programme provides an intensive, two-day overview of the key elements of operations management, including an array of practical tips and tools to help managers be more proactive and effective in the operations management environment - whether that's in an industrial manufacturing context or in operational leadership in the service sectors. At the end of the programme, participants will: Understand the 6Cs approach to operations management Be able to apply a range of practical tools and techniques to improve their personal effectiveness towards being a more effective operations manager Be able to prepare an action plan for the critical first (or next) 100 days in their operational leadership role 1 Introduction What is Operations Management and where does it fit in? What makes a successful Operations Manager? Introducing the 6Cs of Operations Management 2 Context Link to business strategy Making a year plan Performance measurement 3 Controls Governance Reputational controls Costs and budgets Quality Operational 4 Customers Internal External Stakeholder management 5 Communication Planning Meetings Reporting Emails Notices Networking Walking the talk 6 Care People Safety, Health, Environment & Security Assets 7 Continuous improvement Process Product Proactivity Link to KPIs and Year Plan 8 Putting it all together Action planning for the first (or next) 100 days Conclusions

The aim of this course is to provide project managers, project engineers and project support staff with a toolkit they can use on their projects. The tools range from the simple that can be used on all projects to the advanced that can be used where appropriate. This programme will help the participants to: Identify and engage with stakeholders Use tools for requirements gathering and scope management Produce better estimates using a range of techniques Develop more reliable schedules Effectively manage delivery DAY ONE 1 Introduction Overview of the programme Review of participants' needs and objectives 2 Stakeholder management Using PESTLE to aid stakeholder identification Stakeholder mapping The Salience model Stakeholder engagement grid 3 Requirements management Using prototypes and models to elucidate requirements Prioritising techniques Roadmaps Requirements traceability 4 Scope management Work breakdown structures Responsibility assignment matrix 5 Delivery approaches Sequential Agile 6 Estimating Comparative estimating Parametric Bottom-up Three-point estimating Delphi and Planning Poker Creating realistic budgets DAY TWO 7 Scheduling Critical path analysis Smoothing and levelling Timeboxing Team boards Monte Carlo simulations Probability of completion 8 People management Situational Leadership The Tuckman model Negotiation Conflict management Belbin 9 Monitoring and control Earned value management 10 Course review and action planning Identify actions to be implemented individually Conclusion PMI, CAPM, PMP and PMBOK are registered marks of the Project Management Institute, Inc.

Running a successful project requires skills in planning, budgeting, tracking deliverables and stakeholder management. An area that can be neglected by project managers is the 'people side' - not the project team themselves but the end-users, those who will be affected by the project. Too often there is a single line at the end of the project plan that says 'Comms and Training'. If people are going to have to work differently and learn some new processes, then there is work to be done by the project team to help them through the emotional side of the change. This session explores why it's important to bring people along when a change is being made. It will provide project teams with the skills and knowledge either to manage the people change plan themselves or to secure the right resources for their project. Understand the importance of the 'people side' of change 8 'Golden Rules' of change management - overview How to create a simple but effective change plan Adoption Benefits of good change management 1 Introduction Objectives and agenda People and projects - why is it important? The Change Curve - the emotional side of change 2 8 'Golden Rules' of change management - including... Role of the sponsor Communication Resistance to change 3 Change plan Elements of a change plan Change impact assessment Alignment with the project plan 4 Adoption Who owns the change? The vital role of the manager Feedback and action loops 5 Benefits Estimating the costs / benefits 6 Next steps Summary of key learning points Reflection on next steps 7 Close

Masterclasses? Refreshers? Introductions? It depends what you're looking for and where you want to pitch them, but here are six tried-and-tested highly focused sessions that organisations can take individually or as a series, to help develop their teams' project management capabilities one topic at a time. Objectives for each individual session are set out below, as part of the session outlines. Taken together, as a series, however, these modules are an ideal opportunity to develop your team's levels of project management capability maturity, whether that's by introducing them to the basic principles, refreshing them on best practice, or giving them the opportunity to really drill down into a specific area of challenge in your particular operating environment. Session outlines 1 Stakeholder management Session objectives This session will help participants: Understand why stakeholders matter to projects Be able to identify and engage stakeholders Be able to categorise stakeholders by their significance 1 Key principles What does 'stakeholder' mean - in theory? What does this mean in practice? Why stakeholders matter Consequences of missing stakeholders The stakeholder management process:IdentifyAssessPlanEngage 2 Identifying stakeholders Rapid listing CPIG analysis PESTLE analysis Drawing on the knowledge and experience of others Other ways to identify stakeholders 3 Assessing stakeholders Which stakeholders are significant? Stakeholder radar Power-interest maps Power-attitude maps 4 Planning The adoption curve Dealing with obstacles Who should engage which stakeholder? How should the project's organisation be structured? How will communication happen? 5 Engaging Seven principles of stakeholder engagement 2 Requirements and prioritisation Session objectives This session will help participants: Understand how clarity of requirements contributes to project success Use different techniques for prioritising requirements Agree requirements with stakeholders Manage changes to requirements 1 Understanding and managing stakeholder needs and expectations What are 'requirements'? What is 'requirements management'? Sources of requirements - and the role of stakeholders Are stakeholders sufficiently expert to specify their needs? Do they understand the detail of what they want, or do they need help to tease that out? What do stakeholders want to achieve? Working within constraints Prioritising requirements - three techniques 2 MoSCoW prioritisation 'Must have', should have', 'could have, 'won't have this time' When to use MoSCoW 3 The Kano Model Customer satisfaction - 'attractive' and 'must-be' qualities When to use Kano 4 Value-based prioritisation Understanding risk v value Using risk v value to prioritise features and schedules 5 Agreeing requirements Perfect v 'good enough' Establishing acceptance criteria Requirements traceability Agreeing project scope 6 Changing requirements Why requirements change Why change control matters Impact on projects A formal change control process Paying for change - managing change for different types of project 3 Estimating Session objectives This session will help participants: Understand the different purposes estimates satisfy Be able to use different estimating techniques Understand how to achieve different levels of accuracy 1 Key principles What's an estimate? Informed guesswork What needs to be estimated? Costs, resources, effort, duration Tolerances Precision v accuracy 2 Estimating through the lifecycle Start Plan Do 3 Early estimates Comparative ('analogous') estimating Parametric estimating Using multiple estimating techniques 4 Bottom-up estimating Bottom-up ('analytical') estimating Pros Cons 5 Three-point estimating Three-point ('PERT': Programme Evaluation and Review Technique) estimating Uncertainty and the range of estimates Calculating a weighted average Three-point with bottom-up 4 Scheduling Session objectives This session will help participants: Understand how to create a viable schedule Be able to use different forms of schedule Understand the concept of the critical path 1 Key principles The planning horizon Rolling wave planning Release planning 2 Viable scheduling Creating a viable schedule Define the scope Sequence the work Identify the risks and build in mitigations Identify the resources Estimate the effort and durations Check resource availability Refine until a workable schedule is produced 3 Critical path analysis The critical path Network diagrams Sequence logic Practical application:Network diagram with estimated durationsThe 'forward pass'The 'backward pass'Calculating total floatIdentifying the critical pathCalculating free float Gantt charts 5 Risk and issue management Session objectives This session will help participants: Understand the difference between risks and issues Be able to identify and assess risks Understand ways of mitigating risks Manage issues 1 Key principles Understanding risk Threats and opportunities The risk management processPreparation - proactive risk managementThe process - identify, assess, plan, implementStakeholder communication Roles and responsibilities Risk management strategy The risk register Risk appetite 2 Risk identification Brainstorming Interviews Assumption analysis Checklists 3 Risk assessment and prioritisation Probability, impact and proximity Triggers Qualitative risk assessment Qualitative impact assessment Qualitative probability assessment Probability / impact grid Bubble charts Risk tolerance 4 Planning countermeasures To mitigate or not to mitigate? Categories of risk response Avoid and exploit Reduce and enhance Transfer Share Accept Contingency Secondary risks 5 Issue management What is an issue? Tolerances Issues and tolerances The PRINCE2 view of issues Ownership of issues An issue management process Issue register 6 Budgeting and cost control Session objectives This session will help participants: Understand what to include in a budget - and why Choose - and use - the appropriate estimating technique Align the budget with the schedule Understand how to monitor spend and control costs Trouble-shoot effectively to get projects back within budget Session format Flexible. The session can be tailored to the participants' average level of project management maturity - a 60-minute session (delivered virtually) is an effective introduction. A 90-minute session allows for more in-depth treatment. A half-day session (face-to-face or virtual) gives time for a more challenging workshop, particularly to discuss specific cost control issues with any of the participants' current projects. 1 Where is the money coming from? Can we pay from revenue? Do we need to borrow? How long will the project take to pay back? The lifecycle of the budget Through-life costs Stakeholder involvement 2 Estimating costs Reminder: the relationship between estimates Reminder: possible estimating techniques What do we need to estimate?PeopleEquipmentMaterialsFacilities and operating costsWork package estimateEstimated project costs Estimating agile projects 3 Aligning budget and schedule Scheduling and financial periods Spreading the budget 4 Reserves and agreeing the budget Contingency reserve Management reserve Agreeing the budget 5 Cost control Planned spend over time Actual spend over time Work completed over time Evaluating different scenarios: delivery v spend 6 Trouble-shooting Why are we where we are? What has caused the project to spend at the rate it is? Why is it delivering at the rate it is? What are the root causes? What can we do about it?

This foundational course will help all managers better understand what a procurement function does, including the processes, tools and techniques it employs to reach its goals and how it measures its business performance. PARTICIPANTS WILL LEARN HOW TO: Explain the contribution of procurement to the overall business objectives. Explain the added value that can be obtained by a business when it manages its procurement activities efficiently and effectively. Understand the complex activity of procurement and the challenges it presents for risk management. Develop good quality procurement practices that will manage the expectations of all stakeholders Identify methods by which a procurement function can be measured and performance monitored. Perform contract management activities. Understand ways in which improvements might be identified and implemented. COURSE TOPICS INCLUDE: Procurement and business objectives Stakeholder Management Commercial Specifications Whole Life Costing Targeted procurement Procurement planning Supplier Appraisal and selection RFQ & ITT & Evaluation Contract Management