Time Management & Efficiency Flashcards

A maintenance technician has four work orders due today: (1) a leaking hydraulic line on a press running at 40% capacity, (2) a burned-out overhead light in a storage room, (3) a conveyor belt that makes noise but runs normally, and (4) an air compressor whose pressure relief valve chattered once but hasn't repeated. Which sequence best reflects industrial time-management principles?

Answer: 1 → 4 → 3 → 2

The hydraulic leak (1) is both a safety hazard and an active production loss — it must come first. The pressure-relief valve chattering (4) is a potential catastrophic-failure precursor and ranks second even though it hasn't repeated, because pressure-system failures can be sudden and severe. The noisy conveyor (3) is a developing fault but currently operational, so it's third. The storage-room light (2) has no safety or production impact and goes last. Option A incorrectly promotes the conveyor over the pressure-system anomaly.

During a planned 8-hour shutdown, a technician estimates: bearing replacement = 2 h, coupling alignment = 1.5 h, lubrication of 12 points = 45 min, and filter replacement = 30 min. The coupling alignment cannot begin until the bearing is fully seated and torqued. All other tasks are independent. What is the minimum possible completion time if one additional qualified technician is available for the entire window?

Answer: 3.5 hours

The critical path is bearing replacement (2 h) → coupling alignment (1.5 h) = 3.5 h total, and this chain cannot be parallelized. The second technician can absorb lubrication (45 min) and filter replacement (30 min) — both finish well within the 3.5 h window. Therefore the bottleneck remains the serial bearing-then-alignment chain at 3.5 hours. Adding more technicians cannot compress this path further.

A plant switches from a purely reactive maintenance program to condition-based monitoring on its ten most critical machines. In the first year, total downtime hours drop 28%, but total labor hours *increase* 12%. Which conclusion is best supported by these numbers?

Answer: The program is likely cost-effective because prevented downtime losses typically exceed added monitoring labor costs.

Unplanned downtime on critical equipment typically costs many times more per hour than planned maintenance labor (lost production, emergency parts premiums, overtime). A 28% reduction in downtime hours almost always far outweighs a 12% rise in scheduled labor hours. The data pattern — less downtime, more proactive labor — is exactly what a successful CBM transition looks like in year one. Concluding the program is inefficient from labor hours alone ignores the far larger cost of downtime.

A technician is halfway through replacing a pump impeller when she discovers the replacement part has a slightly different shaft diameter than spec. The pump feeds a non-critical cooling tower. Shift ends in 90 minutes; sourcing the correct part will take ~4 hours. Which action best balances time management and plant safety?

Answer: Reassemble the pump with the original worn impeller, tag the system as 'repair pending,' document findings, and notify the next shift supervisor.

When a correct part is unavailable mid-job, the safest and most professional course is to restore the equipment to a known (if degraded) state, clearly tag it, document the discrepancy and part number needed, and hand off to the incoming shift. This keeps the system in a defined condition, preserves situational awareness across shifts, and avoids the hidden failures that come from force-fitting incorrect components. Options A and D introduce unquantified mechanical risk; option C creates an undocumented hazard.

A maintenance planner is building next week's schedule and notices that three separate PMs (each ~2 hours) are due on machines A, B, and C in the same production cell. The cell runs Monday–Thursday; Friday is a light-production day. Completing all three PMs mid-week requires pulling technicians from two other cells during peak hours. What scheduling approach minimizes total production impact?

Answer: Batch all three PMs on Friday during light production and coordinate a single cell-access window.

Batching maintenance tasks in the same production cell into a single planned window minimizes the number of production interruptions and reduces technician travel/setup time. Friday's light production provides the lowest-impact window. Spreading PMs across three peak-production days (B) multiplies disruptions. Monday morning (A) hits peak production. Deferring PMs (D) accumulates risk and is only appropriate when overdue intervals remain within safe tolerance — the question doesn't support that assumption.

A technician tracks his wrench-time (actual hands-on repair time) over four weeks and finds it averages only 38% of his shift hours. Industry benchmarks suggest 55%+ is achievable. Which combination of root causes most commonly explains a gap this large?

Answer: Parts not staged before the job, unclear work orders, and waiting for permits or equipment release.

Low wrench-time is almost always driven by delays in the support system rather than the technician's individual speed. The three biggest documented contributors are: (1) parts not pre-kitted — technician travels to the storeroom mid-job, (2) vague or incomplete work orders — time spent diagnosing what the job actually requires, and (3) waiting for permits (LOTO, hot-work) or for operations to release equipment. These delays are systemic and account for the majority of non-wrench time. Tool type and team size have marginal effects by comparison.