World Class Supply Chain 2021: Vision 2030: SCM in a New Decade
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Fifth Annual World Class Supply Chain Summit on May 5th, 2021 was momentous in at least threes ways: First, it marked a return to having the annual summit following the cancellation of the 2021 summit because of the COVID- 19 pandemic. Second, in light of ongoing pandemic-related restrictions on in-person gathering, the 2021 summit was convened virtually –this meant leveraging needed digital technology platform and technological savvy of the summit planning team personnel. Third, in light of how the pandemic has affected supply chains, the summit theme (Vision 2030 -SCM in a New Decade) and, the industry representation of the speakers, and the content aligned with the kind of thinking needed for supply chains to survive the pandemic and thrive in the years ahead. In particular, because container ports are reliable barometers of economic activity such as how well an economy is recovering from the pandemic, the summit’s panel discussion was expressly designed to shed light on insights from panelists who are executives at key North American ports: Halifax; Mobile (Alabama); Vancouver; and Prince Rupert. The panel discussion focused on eight questions that ranged from the initial pandemic impacts on container ports through to actions and ideas to handle both immediate and imminent challenges. Three of the most prominent issues in the panel discussion were (i) technology, (ii) collaboration/partnerships, and (ii) human capital. A noteworthy synopsis of some of these issues is the following quote from panelist Brian Friesen (the Prince Rupert Port Authority’s Vice-President of Trade Development & Communications, Prince Rupert Port Authority):\n"It’s a people business; organizations don’t do business with one another, people who work at those organizations do business with one another".\nTo help transition the summit’s deliberations from reflection on the pandemic’s supply chain effects and towards development of ideas for facilitating recovery, the chosen keynote topic was the road ahead. In the keynote address by Professor Glenn Richey (the Harbert Eminent Scholar and Chair in Auburn University’s Department of Supply Chain Management) explained several trends. For practitioners, those included building redundancy in supply chains (i.e., based on companies critically examining the efficacy of extremely lean supply chains for their unique circumstances), some shift to regional sourcing, chains, pandemic-induced renewal of emphasis on ecological sustainability, global supply chain complexity, and technologies that, currently, are not widely adopted. In looking at these trends from the perspective of supply chain scholars, Professor Richey discussed them as some of the areas in which research is needed in order to answer critical questions such as how to responsibly and sensitively approach cultural barriers to artificial Intelligence/machine learning. This rest of this white paper provides further elaboration on these points as well as the aforementioned points from the panel discussion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it