Introduction to Supply Chain, Chapter Two - Ep 189

Описание: 00:00:00: Chapter two setup and reader perspective
00:04:30: Terminology drift and practitioner confusion
00:08:55: Why 'planning' in ERP misleads
00:13:25: Avoid ERP planning traps; Excel isn’t shameful
00:17:55: Buzzword critique and Lokad’s neologisms
00:22:25: Using flawed language without empty promises
00:26:55: Operations research became supply chain, then diverged
00:31:25: Pre-scientific supply chain and falsification standard
00:35:55: Stochastic decisions require repeated trials
00:40:25: Broken automation promises and shifting goalposts
00:44:55: Optimality claims fail when better methods appear
00:49:25: Historical evidence of decades-long stagnation
00:53:55: Why real breakthroughs spread; supply chain lags
00:58:25: Will blunt claims alienate practitioners?
01:02:55: Mud-theory critique: shapeless claims resist refutation
01:07:25: Practical science: judge methods by track record
01:11:10: Graph databases as cautionary hype example

Summary
Conor tests Joannes’s “History” chapter as a practical tool, not a detour. Joannes argues terminology is a battlefield: meanings drift, vendors exploit confusion, and bad labels misdirect budgets—ERP “planning” being the prime case. Conor challenges Lokad’s own jargon (“holimization”); Joannes says the difference is substance and transparency, not fashionable word-swapping. The bigger claim: mainstream supply chain theory is “pre-scientific” because it avoids falsification; decades of “optimal” papers aren’t adopted, so the theories don’t work. Practical rule: trust history, not hype.

******
Check out our website: https://www.lokad.com/
Follow us on LinkedIn:   / lokad  

******