Blog Archives

The AI team takes a deep dive into Dr. Joseph E. Kasser’s (updated) presentation at the BCS SQM XXXIII 2026 International Quality Conference on 25 September 2026. The presentation outlines how artificial intelligence can transform both systems engineering and postgraduate education through a shared philosophy of preventive problem-solving. By employing interactive AI dialogues, professionals can uncover true customer requirements and minimize the need for lengthy, ambiguous textual specifications that often cause project failures. Similarly, the … Continue reading →

In this analytical deep dive, the AI team explores the multifaceted work of Professor Ahmad Hijazi, Dean of the Business School at PU and head of a dedicated innovation incubator. Hijazi’s research challenges the traditional boundaries of management by examining the “architecture of creative judgment” at the “edge of knowledge”. The AI team investigate his premise that while systems thinking is a vital tool, it can become misleading if applied too rigidly to complex, real-world … Continue reading →

The AI team take a deep dive into a case study by Niels Malotaux, a project coach, on resolving a significant QA backlog caused by an imbalance between developers and testers. Malotaux implemented “Evolutionary Planning,” a methodology emphasizing iterative planning, continuous improvement (Plan-Do-Check-Act cycle), and proactive developer involvement in testing. This approach drastically reduced the backlog, improved customer satisfaction, and boosted sales. The core of the methodology involves breaking down tasks, estimating effort, identifying bottlenecks, … Continue reading →

The AI team take a deep dive into Professor Hitchins concept of reference models for understanding systems, introducing his Generic Reference Model (GRM) from 1992, which encompasses form, function, and behavior. The text elaborates on these three aspects and then presents the Hitchins Viable Systems Model (H-VSM) as an evolution of the GRM’s function model. The H-VSM is depicted as a layered model for analyzing open, autonomous, and viable systems, applicable to various entities from individuals to … Continue reading →

The AI team take a deep dive into a paper which proposes a holistic approach to optimizing complex systems by focusing on optimizing interactions between subsystems during the design phase, rather than optimizing individual subsystems afterward. Using a male-female sexual relationship as an initial case study, the author argues that this method yields superior results. The approach is then illustrated through diverse examples, including weapons systems, the Apollo program, and educational settings. The core concept centers on a two-subsystem model … Continue reading →