24-MMP-A5 Surface Mining Methods and Design · May 2016
Question 9 of 11: Truck–Shovel Cycle Time, Match Factor and Dispatch
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. National Exams, May 2016 — 09-MMP-A5, Surface Mining Methods and Design. Three hours, closed book; one hand-written, double-sided 8.5×11″ reference sheet and an approved Sharp or Casio calculator are permitted. Question 1 is compulsory (six parts, 40 marks); candidates then choose three of the five optional questions (2–6, 20 marks each) for a 100-mark paper — only the first three optional answers appearing in the answer book are graded. All six parts of Question 1 and all five optional questions are answered here, because this set is a study resource rather than an exam script.
Reference texts. The answers below are keyed to the works normally recommended for this syllabus code:
W. Hustrulid, M. Kuchta & R. Martin, Open Pit Mine Planning and Design, 3rd ed. — block modelling and record addressing (Ch. 4–5), pit-limit optimization: floating cone and Lerchs–Grossmann (Ch. 12–13), truck–shovel systems, match factor and dispatch (Ch. 15–16), slope design (Ch. 14).
SME Mining Engineering Handbook, 3rd ed. — open-pit design and materials-handling chapters; mine closure and reclamation planning.
H. Lerchs & I. F. Grossmann, “Optimum Design of Open-Pit Mines,” CIM Bulletin (1965).
Y. Lizotte, “The Economics of Computerized Open Pit Design,” International Journal of Surface Mining, Reclamation and Environment, 2:59–78 (1988) — the floating-cone procedure cited directly on this paper's Question 1.3.
BC Health, Safety and Reclamation Code for Mines — mine closure planning and reclamation security (Canadian regulatory context for Question 5).
Question 4: Truck–Shovel Cycle Time, Match Factor and Dispatch (20 marks)
Given. Load time 3.0 min, haul (loaded, same-side) 12.0 min, dump 1.0 min, empty return (same-side) 8.0 min; the detailed dispatch network additionally offers two short cross-routes: Crusher→Shovel 2 (4.0 min) and Waste Dump→Shovel 1 (3.0 min).
Find. 4.1 theoretical closed-out cycle time and match factor; 4.3 trucks required, closed-out vs. dispatched; 4.4 the more efficient configuration; 4.5 truckloads per 8-hour shift.
The two short cross-routes (green) that make “dispatched” operation possible: a truck dumping ore at the Crusher can cross directly to Shovel 2 (4 min) instead of returning empty to Shovel 1 (8 min); a truck dumping waste at the Waste Dump can cross directly to Shovel 1 (3 min) instead of returning to Shovel 2 (8 min).
Approach. 4.1: sum the four closed-out cycle legs, then use the match-factor identity (number of trucks needed to keep one shovel continuously loaded) $= T_c/T_{\text{load}}$. 4.3: closed-out totals two independent single-shovel fleets; dispatched instead forms one continuous circulating loop through both shovels and both dump points, using the short cross-routes as the return legs, and the number of trucks needed to keep both shovels continuously fed is the loop time divided by the loading interval. 4.5: convert the dispatched loop's per-truck delivery rate to a per-shift total.
4.1 — closed-out cycle time and match factor.
$$T_c = 3.0+12.0+1.0+8.0 = \boxed{24.0\ \text{min}}$$
Match factor $\text{MF}=\dfrac{N_{\text{trucks}}\times T_{\text{load}}}{N_{\text{shovels}}\times T_c}$; for a single shovel, $\text{MF}=1$ (trucks exactly matched to shovel capacity, no truck or shovel queuing) requires
$$N_{\text{trucks/shovel}} = \frac{T_c}{T_{\text{load}}} = \frac{24.0}{3.0} = \boxed{8\ \text{trucks per shovel}}$$
4.3 — closed-out truck requirement. Two independent shovel/dump pairs, each needing 8 trucks at MF$=1$:
$$N_{\text{closed-out}} = 2\times 8 = \boxed{16\ \text{trucks}}$$
4.3 — dispatched loop and truck requirement. Using the short cross-routes, a single truck can serve both shovels in one continuous loop: load ore at S1 (3) → haul to Crusher (12) → dump (1) → cross to S2 (4) → load waste (3) → haul to Waste Dump (12) → dump (1) → cross back to S1 (3).
$$T_{\text{loop}} = 3+12+1+4+3+12+1+3 = \boxed{39.0\ \text{min}}$$
With $N$ trucks evenly spaced around this shared loop, the interval between successive trucks passing any fixed point (in particular, each shovel) is $T_{\text{loop}}/N$; setting this equal to the 3.0-min load time (so neither shovel ever waits) gives
$$N_{\text{dispatched}} = \frac{T_{\text{loop}}}{T_{\text{load}}} = \frac{39.0}{3.0} = \boxed{13\ \text{trucks}}$$
4.4 — which is more efficient. Dispatched needs only 13 trucks (vs. 16 closed-out) to keep both shovels continuously loaded, because the two short cross-routes (4 and 3 min) replace the long same-side empty returns (8 min each) that closed-out trucks would otherwise run empty — a 19 % fleet reduction for the same production.
4.5 — truckloads per 8-hour shift (dispatched, the more efficient configuration). Each of the 13 trucks completes one full 39-min loop delivering exactly one ore load (to the crusher) and one waste load (to the dump):
$$\text{loads/min} = \frac{13}{39} = 0.3333, \qquad \text{loads in an 8-h shift} = 0.3333\times(8\times60) = \boxed{160\ \text{truckloads}}$$
(160 to the crusher and 160 to the waste dump, since every loop delivers one of each.)
Quantity
Result
4.1 Closed-out cycle time
24.0 min
4.1 Trucks/shovel at MF = 1
8
4.3 Closed-out fleet
16 trucks
4.3 Dispatched loop time / fleet
39.0 min / 13 trucks
4.4 More efficient configuration
Dispatched (19% fewer trucks for equal production)
4.5 Truckloads per 8-h shift
160 to crusher, 160 to waste dump
Check: the 160-loads-per-shift figure assumes zero queuing, breakdown or shift-change loss and perfectly even truck spacing around the loop — a real operation typically achieves 80–90 % of this theoretical maximum once spotting variability, weather and maintenance are included, and would carry a small spare-truck allowance above the theoretical 13.