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22-Mec-B4 Integrated Manufacturing Systems · December 2013

Question 5 of 7: Assembly-Line Balancing

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

Paper format. National Exams, December 2013 — 07-Mec-B4, Integrated Manufacturing Systems. Three hours; open book; any non-communicating calculator permitted. Seven questions are printed and any five constitute a complete paper, each of equal value (20 marks); only the first five appearing in the answer book are marked. Several questions call for an essay answer, where clarity and organisation carry marks. Note 1 of the paper invites the candidate to state any assumption made where a question is open to interpretation — that licence is used twice below and each use is flagged. All seven questions are worked here, so the set can serve as a complete study resource.

Reference texts. Chase, Jacobs & Aquilano, Operations and Supply Chain Management (McGraw-Hill) — the source of this paper's forecasting, line-balancing, cost and quality material; Groover, Automation, Production Systems, and Computer-Integrated Manufacturing (Pearson) for process planning, cellular manufacturing, flexible manufacturing systems and plant networks; Montgomery, Introduction to Statistical Quality Control (Wiley) for the Shewhart chart constants and the normal-tail scrap calculations; Nahmias & Olsen, Production and Operations Analysis (Waveland) for the forecasting derivations; Kalpakjian & Schmid, Manufacturing Engineering and Technology (Pearson) for the ring-rolling and tolerance context. Canadian practice for the quality half of the paper follows CSA / ISO 9001 and the ISO 7870 series on control charts, which tabulate the same constants used below.

Question 5: Assembly-Line Balancing (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given. Eight assembly tasks with their times and their technological precedence requirements, to be arranged on a paced line meeting a forecast demand of 400 units in an eight-hour day.

Given data — task times and precedence
TaskTask time (seconds)Tasks which must precede
A50—
B40—
C20A
D45A, C
E20A, C
F25A, C, D
G10A, C, E
H35A, B, C, D, E, F

Find. (a) the precedence diagram; (b) the theoretical minimum number of workstations for the required output; and (c) a feasible balance achieving that number, together with its efficiency.

Approach. Convert the daily demand into a cycle time, divide the total work content by that cycle time to obtain the theoretical minimum number of stations, then assign tasks to stations in precedence order using the longest-task-time rule until the cycle time would be exceeded.

A50 sB40 sC20 sD45 sE20 sF25 sG10 sH35 s
Figure 5.1 — Part (a): precedence diagram. Each box carries the task letter and its time in seconds; an arrow runs from a task to every task that may not begin until it is complete. Only immediate predecessors are drawn, since the transitive requirements listed in the table follow from them. Tasks A and B have no predecessors and may start at once; G and H are terminal.
  1. Part (a) — read the immediate predecessors out of the table. The table lists all predecessors, but the diagram needs only the immediate ones. Removing the transitive entries leaves A: none; B: none; C: A; D: C; E: C; F: D; G: E; H: B, E and F. For example H is listed as requiring A, B, C, D, E and F, but A, C and D are already implied through F, so the arrows into H come only from B, E and F. This yields the network drawn in Figure 5.1.
  2. Part (b) — convert demand into a cycle time. The available production time per day and the required output give the pace at which a unit must leave the line: $$C=\frac{\text{production time available per day}}{\text{units required per day}} =\frac{8\ \text{h}\times 3600\ \text{s/h}}{400\ \text{units}} =\frac{28{,}800}{400}=72\ \text{s per unit}$$ No station may be loaded beyond 72 s, or the line cannot meet demand.
  3. Sum the work content and divide by the cycle time. The total task time is $$\textstyle\sum t_i=50+40+20+45+20+25+10+35=245\ \text{s}$$ so the theoretical minimum number of stations is $$N_{\min}=\left\lceil \frac{\sum t_i}{C}\right\rceil =\left\lceil \frac{245}{72}\right\rceil=\lceil 3.40\rceil \ \Rightarrow\ \boxed{\ N_{\min}=4\ \text{stations}\ }$$ The ceiling is essential: 3.40 stations cannot be staffed, and three stations would provide only $3\times 72=216$ s of capacity against 245 s of work. Note also that the longest single task, A at 50 s, is below the cycle time, so no task has to be split — the theoretical minimum is at least feasible on that count.
  4. Part (c) — choose a balancing rule. The longest-task-time heuristic is selected: at each step, from the tasks whose predecessors are all already assigned and whose time fits in the station's remaining capacity, assign the one with the longest time; when nothing fits, open a new station. The rule is chosen because it places the awkward, large tasks early while stations are still empty, leaving the small tasks as the flexible filler that closes the remaining gaps — the opposite order tends to strand a large task in a station of its own.
  5. Assign tasks to stations. Working through the rule with $C=72$ s: Station 1 — available tasks are A (50) and B (40); take A, leaving 22 s. C (20) now becomes available and fits, leaving 2 s, which accommodates nothing. Station 1 = {A, C}, load 70 s. Station 2 — available are B (40), D (45), E (20); take D, leaving 27 s; B does not fit but E does, leaving 7 s. Station 2 = {D, E}, load 65 s. Station 3 — available are B (40), F (25), G (10); take B, leaving 32 s; take F, leaving 7 s; G does not fit alongside. Station 3 = {B, F}, load 65 s. Station 4 — the remaining tasks G (10) and H (35) both have their predecessors assigned and together load 45 s. Station 4 = {G, H}.
    StationTasks assignedStation time (s)Idle time (s)
    1A, C702
    2D, E657
    3B, F657
    4G, H4527
    Total8 tasks24543
    Every precedence relation is respected — C follows A in the same station, D and E follow C from Station 1, F follows D from Station 2, and G and H follow E and F respectively — and no station exceeds 72 s, so the balance is feasible in $\boxed{\ 4\ \text{stations, the theoretical minimum}\ }$
  6. Evaluate the balance. Line efficiency compares the work actually done with the labour time purchased: $$E=\frac{\sum t_i}{N_{\text{act}}\,C}=\frac{245}{4\times 72}=\frac{245}{288}=0.8507$$ $$\boxed{\ E=85.07\ \%\ \text{efficiency},\qquad d=1-E=14.93\ \%\ \text{balance delay}\ }$$ The 43 s of idle time per cycle is the price of indivisible tasks; over a day it is $43\times 400=17{,}200$ s, or about 4.8 worker-hours. Actual daily output is $28{,}800/72=400$ units, exactly the requirement, and the line's bottleneck is Station 1 at 70 s, which would cap output at $28{,}800/70=411$ units if the pace were allowed to float.

Check: the eight hours are taken as fully available production time, since the paper quotes no allowance for breaks, changeovers or downtime. If, for example, a 5 per cent allowance were applied, the available time would fall to 27,360 s and the cycle time to 68.4 s; the theoretical minimum would still be $\lceil 245/68.4\rceil=4$ stations and the balance above would still be feasible, since its heaviest station is loaded to 70 s — which now exceeds the cycle. Station 1 would have to shed task C to Station 2 in that case. The balance given is therefore reported against the literal reading of the question.

Final results
QuantitySymbolValue
Total work contentΣti245 s
Required cycle timeC72 s per unit
Theoretical minimum stationsNmin4
Stations in the balance obtainedNact4
Station 1—A, C — 70 s (idle 2 s)
Station 2—D, E — 65 s (idle 7 s)
Station 3—B, F — 65 s (idle 7 s)
Station 4—G, H — 45 s (idle 27 s)
Total idle time per cycle—43 s
Line efficiencyE85.07 per cent
Balance delayd14.93 per cent