MCA Case Study #09-30-09 ToolingDocs was recently called in to provide a Maintenance Capability Assessment (MCA) for a custom molder. Below is an overview of the company along with:
Company Overview
Company Objectives:
Shop Supervisor
Objectives:
MCA Observation Summary
Shop Metrics: All replacement components are kept in filing cabinets and in no particular part of the shop. Housekeeping practices in the shop are just average. There is adequate staff (5 repair techs) on board for their MPP (Mold Pull Pace) of 3 to 5 per day. They estimate a 50% Unscheduled Mold Stop ratio. (See savings calculator below.) Mold cleaning is still done 100% by hand. No tooling salvage program is in place. They are using a popular plastics ERP system but critical mold information is being recorded in the “Notes” section of the electronic work orders, which renders this information virtually useless. Scheduled mold PM’s are currently cycle based BUT usually performed only at the end of a production run. Documentation Metrics Overview:
MCA Conclusions and Recommendations Summary This 20 yr old facility is in good health with enough staff on board to get the job done, but old methods for maintenance tracking and reporting keep them mired in problems. Their maintenance shop has all the metalworking equipment and required skills to be much more proactive, but a lack documentation structure will hold them back as they cannot set goals or target areas for efficiency gains. The daily unscheduled mold pulls are being repaired as needed – with little thought to preventing them. They need to improve the layout of their shop and work on the discipline necessary to take advantage of the ERP capabilities of their system. The mold benches are too short and jammed together. They need to invest in an ultrasonic tank as there is too much wasted time and potential damage in hand cleaning. At best guess by the shop manager, 50% of all mold stops are the result of Unscheduled Mold Stops due to a variety of reasons that they could not pin-point. Reducing this amount to even a paltry 40% (should be 20%) would save the company $45,000 per year and $90,000 at 30% as seen on the MPP metrics chart shown below. But before they can determine where to start, they need to acquire a baseline of current data and see where their high cost or high frequency issues really are.
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