Digital Production Notes

Obtaining reliable, end-to-end data on ore flow is a critical function for any mineral resource company. This data underpins key business decisions, including the valuation of mineral reserves by site and deposit, total extraction volumes and grades, potential in-situ losses during mining and re-evaluation, and the actual availability of ore for downstream processing. However, traditional paper-based record-keeping systems fall short of establishing a dependable link between mining operations and processing plants—often at a significant financial cost. How Ore Flow Is Currently Tracked Ore flow accounting is performed across multiple operational stages, including: appraising explored and newly discovered resources; estimating reserves prior to extraction; adjusting for losses incurred during haulage and handling; assessing ore prepared for blasting and fragmentation, among others. In practice, the same data points are often recorded manually in several separate paper log...

In manufacturing operations — especially discrete manufacturing, which is a multi-stage process involving several different departments — information about production balances, defect volumes, and output quantities is often not tracked systematically. This creates difficulties in record-keeping and in obtaining reliable information about the production process as a whole.Digital platforms such as logsheet.ai exist specifically to close this gap.  To eliminate the record-keeping chaos that disrupts a company's operations and prevents effective management decisions, raw material and finished goods movements need to be logged at a set frequency. Let's look at how this can be done using digital platforms. Why Production Record-Keeping Matters Production record-keeping is the foundation for any decision-making at a company, and here's why: It gives management a complete picture of production without requiring their physical presence on the shop floor. It provides the ...

In quality management systems, checklists are widely regarded as a primary tool for risk identification. They help evaluate technological processes across quantitative and qualitative metrics, equipment condition, and occupational safety. Yet despite having checklists in place at every stage of production, downtime and accidents still occur. The root cause? Not the checklists themselves, but how they're used. Let's explore how to avoid checklist pitfalls, using the example of an ExxonMobil subsidiary and its implementation of the logsheet.ai electronic platform. Management had grown frustrated by a lack of visibility into real performance indicators—everything looked flawless on paper, but equipment failures were happening far too often. A closer examination uncovered several significant—yet entirely fixable—issues. 1. Ritualistic Filling Problem: The first issue we encountered when reviewing the workflow was that employees were checking items not against actual readings, ...