Mike Burrows on TameFlow
Pay attention to the quality of interactions, the flow of information and the overall level of connectedness.
Cumulative Flow Diagrams with Buffer Fever Charts
Get leading signals of negative variability and risk materialization by combining the Cumulative Flow Diagram of the Kanban Method with the Buffer Fever Chart of the Theory of Constraint’s Critical-Chain Project Management.
The Kanban Method Improved via Theory of Constraints
In this post we look into what are the elements to consider when enhancing the Kanban Method via the Theory of Constraints.
Virtues of Minimum Marketable Releases
In this fifth and last post about how to improve risk management in the Kanban Method via the Theory of Constraints we examine the benefits of using Minmum Marketable Releases.
Risk Management in the Kanban Method
In this fourth post about how to improve risk management in the Kanban Method via the Theory of Constraints we explore what options the Kanban Method offers to handle risk.
Root Cause Analysis and People Factors in the Theory of Constraints
In this third post about how to improve risk management in the Kanban Method via the Theory of Constraints we look in the tools of TOC that can be used to perform Root Cause Analysis and how they can impact the opinions and support of the people in the organization.
Buffer Management and Risk Management in the Theory of Constraints
In this second post about how to improve risk management in the Kanban Method via the Theory of Constraints we discover what is and how to use Buffer Management
Critical Chain Project Management in the Theory of Constraints
The cross-pollination of two different schools of thought — the Kanban Method and the Theory of Constraints — generate innovative ways to manage projects, enhance risk management, and continuously improve your software engineering processes. Learn how with this first of a series of posts on the topic.
Theory of Constraints and Software Engineering
Explore how the Theory of Constraints and Throughput Accounting can be used to make better software engineering management decisions.