The Supply Chain Scientist - Lecture 7.3


00:00 Introduction
02:52 Background and disclaimer
07:39 Naïve rationalism
13:14 The story so far
16:37 Scientists, we need you!
18:25 Human + Machine (the problem 14)
23:16 The setup (the problem 24)
26:44 The maintenance (the problem 34)
30:02 The IT backlog (the problem 44)
32:56 The mission (the job of the scientist 16)
35:58 Terminology (the job of the scientist 26)
37:54 Deliverables (the job of the scientist 36)
41:11 The scope (the job of the scientist 46)
44:59 Daily routine (the job of the scientist 56)
46:58 Ownership (the job of the scientist 66)
49:25 A supply chain position (HR 16)
51:13 Hiring a scientist (HR 26)
53:58 Training the scientist (HR 36)
55:43 Reviewing the scientist (HR 46)
57:24 Retaining the scientist (HR 56)
59:37 From one scientist to the next (HR 66)
01:01:17 On IT (corporate dynamics 13)
01:03:50 On Finance (corporate dynamics 23)
01:05:42 On Leadership (corporate dynamics 33)
01:09:18 Old-school planning (modernization 15)
01:11:56 End of S&OP (modernization 25)
01:13:31 Old-school BI (modernization 35)
01:15:24 Exit Data Science (modernization 45)
01:17:28 A new deal for IT (modernization 55)
01:19:28 Conclusion
01:22:05 7.3 The Supply Chain Scientist - Questions?

Description

At the core of a Quantitative Supply Chain initiative, there is the Supply Chain Scientist (SCS) who executes the data preparation, the economic modeling and the KPI reporting. The smart automation of the supply chain decisions is the end-product of the work done by the SCS. The SCS takes ownership of the generated decisions. The SCS delivers human intelligence magnified through machine processing power.