Cases in operations management : building customer value through world-class operations
Bibliographic record
Abstract
Introduction to the Ivey Casebook Series - Paul W. Beamish Preface 1. Developing Word-Class Operations Industrie Pininfarina: The New Customer Decision Fell-Fab Products (A) Unicon Concrete Products (H.K.) Ltd. 2. Process Design Earth Buddy(R) Greaves Brewery Quinte MRI ING Direct Canada Celestica Inc. - Memory Business Unit Thera-Aid Medical Devices Introduction to Process Simulation Red Cross Mobile Blood Clinics - Improving Donor Service Introduction to Inventory Control and Independent Demand McLeod Motors Ltd. Iron Ore Company of Ontario VBF Tubing (Abridged) 3. Planning and Control Greaves Brewery: Bottle Replenishment Yield Management at American Airlines MacPherson Refrigeration Limited Lamson Corporation (R) Martin Trailers Limited Illustrious Corporation 4. Project Management Note on Project Management Fundamentals Gadget Toy Company H.M.S. Pinafore CPSim: The Critical Path Simulator (Windows Version) Waterloo Regional Police Services: The CIMS Project 5. Quality LongXi Machinery Works - Quality Improvement (A) Blue Mountain Resorts: The Service Quality Journey Noram Foods Hillcrest Auto Mutual Life of Canada - The Group Client Service Guarantee (A) 6. Supply Chain Management International Decorative Glass Spin Master Toys (A): Finding a Manufacturer for E-Chargers Dabbawallahs of Mumbai (A) Daikin Industries Grocery Gateway: Customer Delivery Operations Ladner Building Products Canadian Pharmaceutical Distribution Network 7. Operations Strategy Butler Metal Products: Focusing the Factory Mitel Semiconductor Electrosteel Castings Limited Blinds To Go: Invading the Sunshine State ASIMCO International Casting Company (A) The Atlanta Symphony Orchestra Navistar: Environmental Management (A) Indian Oil Corporation Limited. - The Mathura Refinery About the Editors
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.081 | 0.017 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".