Save time, empower your teams and effectively upgrade your processes with access to this practical Mathematical optimization Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Mathematical optimization related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

 

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The Toolkit contains the following practical and powerful enablers with new and updated Mathematical optimization specific requirements:

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Mathematical optimization Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals…

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Mathematical optimization improvements can be made.

Examples; 10 of the standard requirements:

  1. What are your current levels and trends in key Mathematical optimization measures or indicators of product and process performance that are important to and directly serve your customers?

  2. Who will be responsible for deciding whether Mathematical optimization goes ahead or not after the initial investigations?

  3. Which individuals, teams or departments will be involved in Mathematical optimization?

  4. Which models, tools and techniques are necessary?

  5. Why improve in the first place?

  6. How do we manage Mathematical optimization Knowledge Management (KM)?

  7. What communications are necessary to support the implementation of the solution?

  8. How will we know that a change is improvement?

  9. How can you measure Mathematical optimization in a systematic way?

  10. What does the data say about the performance of the stakeholder process?

Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the Mathematical optimization book in PDF containing requirements, which criteria correspond to the criteria in…

Your Mathematical optimization self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the Mathematical optimization Self-Assessment and Scorecard you will develop a clear picture of which Mathematical optimization areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough Mathematical optimization Self-Assessment
    • Is secure: Ensures offline data protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:

 

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Mathematical optimization projects with the 62 implementation resources:

  • 62 step-by-step Mathematical optimization Project Management Form Templates covering over 6000 Mathematical optimization project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Resource Breakdown Structure: What is the number one predictor of a groups productivity?
  2. Quality Audit: How does the organization know that its system for examining work done is appropriately effective and constructive?
  3. Source Selection Criteria: Team Leads: What is your process for assigning ratings?
  4. Procurement Management Plan: How will the duration of the Mathematical optimization project influence your decisions?
  5. Probability and Impact Matrix: How will economic events and trends likely affect the Mathematical optimization project?
  6. Procurement Audit: Were all interested operators allowed the opportunity to participate?
  7. Activity List: How do you determine the late start (LS) for each activity?
  8. Executing Process Group: Do Mathematical optimization project managers understand the organizational context for their Mathematical optimization projects?
  9. Roles and Responsibilities: Do the values and practices inherent in the culture of the organization foster or hinder the process?
  10. Activity Duration Estimates: Will the new application be developed using existing hardware, software, and networks?

 
Step-by-step and complete Mathematical optimization Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Mathematical optimization project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

  • 2.1 Mathematical optimization project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Mathematical optimization project Scope Statement
  • 2.7 Assumption and Constraint Log
  • 2.8 Work Breakdown Structure
  • 2.9 WBS Dictionary
  • 2.10 Schedule Management Plan
  • 2.11 Activity List
  • 2.12 Activity Attributes
  • 2.13 Milestone List
  • 2.14 Network Diagram
  • 2.15 Activity Resource Requirements
  • 2.16 Resource Breakdown Structure
  • 2.17 Activity Duration Estimates
  • 2.18 Duration Estimating Worksheet
  • 2.19 Mathematical optimization project Schedule
  • 2.20 Cost Management Plan
  • 2.21 Activity Cost Estimates
  • 2.22 Cost Estimating Worksheet
  • 2.23 Cost Baseline
  • 2.24 Quality Management Plan
  • 2.25 Quality Metrics
  • 2.26 Process Improvement Plan
  • 2.27 Responsibility Assignment Matrix
  • 2.28 Roles and Responsibilities
  • 2.29 Human Resource Management Plan
  • 2.30 Communications Management Plan
  • 2.31 Risk Management Plan
  • 2.32 Risk Register
  • 2.33 Probability and Impact Assessment
  • 2.34 Probability and Impact Matrix
  • 2.35 Risk Data Sheet
  • 2.36 Procurement Management Plan
  • 2.37 Source Selection Criteria
  • 2.38 Stakeholder Management Plan
  • 2.39 Change Management Plan

3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log

4.0 Monitoring and Controlling Process Group:

  • 4.1 Mathematical optimization project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance

5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 Mathematical optimization project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any Mathematical optimization project with this in-depth Mathematical optimization Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Mathematical optimization projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in Mathematical optimization and put process design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, ‘What are we really trying to accomplish here? And is there a different way to look at it?’

This Toolkit empowers people to do just that – whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc… – they are the people who rule the future. They are the person who asks the right questions to make Mathematical optimization investments work better.

This Mathematical optimization All-Inclusive Toolkit enables You to be that person:

 

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Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.