Bibliographic record
Abstract
This project proposes to replace the existing steam peeler in the Raw Lab at McCain Foods Carberry with the TOMRA Orbit 80 Steam Peeler. The Raw Lab requires a complete overhaul due to aging equipment, inefficient processing of potatoes through the lab, and safety and ergonomic concerns for equipment operators. The project team is comprised of fourth-year engineering students, and time constraints prevented appropriate analysis of the entire lab. Risk assessment and maintenance evaluation of the lab identified the steam peeler as the equipment most urgently in need of replacement, prompting a narrowing of the project scope to focus on the steam peeler workcell exclusively. The steam peeler represents the greatest risk to Raw Lab operators due to its propensity for steam leaks and poor ergonomic design. Replacement of the steam peeler is estimated to reduce the overall risk score in the Raw Lab by 21%. Additionally, the steam peeler has had more than double the downtime hours and more than triple the downtime events of the next most worked-on equipment in the Raw Lab, with an estimated 83% of its parts now obsolete. As the project is a required replacement of an obsolete part, the rate of return is limited to hours saved in maintenance. This figure is estimated at approximately 100 hours per year, according to the previous fiscal year's record of maintenance. The estimated initial investment for the replacement peeler, including installation and the additional steam barrier and spray washer, is $399,558.26 CAD. This represents just 80% of the project's $500,000.00 budget. 11 peeler units were considered, including steam, drum, and brush peelers. An iterative process was used to screen concepts, judging potential peelers on: • The presence of emergency stop features • Steam pressure • Removal of potato skin • Cost of the unit • Durability of unit/material wear • Whether the unit was or could be enclosed to protect operators from steam leaks • Capacity of the peeler • Physical size of the machine and components • Cycle time of batches Of the 5 steam peelers considered, only the TOMRA Orbit 80 exceeded the minimum acceptable requirements for multiple metrics. This peeler boasts a cycle time of 10-25 seconds, a capacity of 5511 lbs/hr, and a working pressure of 20 bar[1], with a unique vessel design and exhaust system for optimum efficiency to achieve the lowest peeling losses in the industry. Additionally, quotations from the vendor include Canadian Registration Number (CRN) inspection and certification, and a field engineer to train and supervise installation and commissioning with 3 days' labor included. The portion of the project assigned to the student team was completed by the specified due date of December 8, 2021, and included sourcing the new peeler and securing contractors. Using Critical Success Factors, Financial Summary and Cost Breakdown, Risk Assessment, and Failure Modes and Effects Analysis (FMEA), this report will demonstrate the suitability of the TOMRA Orbit 80 to replace the existing Raw Lab steam peeler. The Orbit 80 reduces overall risk in the Raw Lab with a uniquely safe design, including a feature which prevents the steam inlet valve from engaging while the vessel door is open and multiple emergency stops. The Orbit 80 also exceeds performance specifications in the areas of working pressure, cycle time, and capacity. The addition of a spray bar at the peeler's output improves efficiency in the Raw Lab by automating the removal of peel particulate from peeled potatoes. Finally, the selection of steam over other available peeling methods mimics the process on the main production line, thereby allowing the Raw Lab to be used as a metric for setting production parameters on the main line. The TOMRA Orbit 80 with barrier wall and spray bar accessories is the best option to replace the existing Raw Lab peeling station.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".