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23-Ind-A4 Production Management · December 2017

Question 8 of 8: Rebalancing 14 Jobs Across Three Surface-Mount Machines, and Minimum Workforce

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

Notes on this paper

National Technical Examinations — December 2017 — 98-Ind-A4 Production Management. Three-hour, closed-book exam; Casio or Sharp approved calculators only. Format: eight questions, each worth 20 marks (sub-part weights 10/10 as tabulated on the front-page marking scheme); only the first five questions appearing in the answer book are marked, so candidates effectively choose 2 of 3 in Section A and 3 of 5 in Section B. All eight are solved below for completeness. The paper asks for point-form answers wherever possible; the solutions below use full working for clarity.

Reference texts: Nahmias & Olsen, Production and Operations Analysis (7th ed., Waveland/McGraw-Hill) — forecasting, inventory (EOQ/EPQ) and aggregate planning; Sipper & Bulfin, Production: Planning, Control, and Integration — production scheduling, JIT/kanban and shop-floor implementation gaps; Hillier & Lieberman, Introduction to Operations Research (11th ed.) — LP formulation and project scheduling (CPM/PERT); Pinedo, Scheduling: Theory, Algorithms, and Systems (5th ed.) — parallel-machine scheduling and days-off workforce scheduling; Hopp & Spearman, Factory Physics (3rd ed.) — variability, buffering, and production scheduling; Liker, The Toyota Way, and Shingo, A Revolution in Manufacturing: The SMED System — 5S, Five Whys, SMED and lean root-cause analysis.

Question 8: Rebalancing 14 Jobs Across Three Surface-Mount Machines, and Minimum Workforce (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.

Check — 14-job data set and deadline
The 14-job data set (batch sizes and processing times, including the “initial” imbalanced allocation totalling A 11,300 / B 26,200 / C 5,600 s) and the explicit 4-hour completion target are as given in the question. Part (a)'s rebalanced schedule below meets a 14,400 s makespan. Part (b)'s workforce calculation uses days-off scheduling bounds: the naive “5 crews per position” estimate (45) is far too high, and the plain workday bound (13) is too low because it ignores the weekends-off rule (see step 3 below).

Given. Fourteen jobs, each with a fixed processing time (seconds) shown once regardless of which machine runs it (the three machines have “similar capabilities,” so a job's time does not depend on its assigned machine); three identical parallel machines A, B, C; target completion within 4 hours ($14{,}400$ s). No individual job due dates are stated, so “minimize the lateness of the worst job” is read as minimizing the makespan (the completion time of the last-finishing machine).

JobBatch sizeTime (s)Initial machine
B2401723,100A
B79821264,400A
B6183456,000B
B11841103,800A
B94552403,800C
B4056324,300B
B1847324,300B
B6298324,300B
B99891921,800C
B1910641,200B
B3311641,200B
B8212322,900B
B4813641,000B
B7214641,000B
Initial totalsA 11,300 / B 26,200 / C 5,600

Find. (a) A rebalanced schedule that completes all jobs within the 4-hour (14,400 s) target; (b) the minimum full-time-equivalent operator headcount needed to staff this facility under the stated shift and days-off rules.

Approach. The initial allocation is badly imbalanced (Machine B alone totals 26,200 s $=7.3$ h, nearly double the deadline, while C sits at only 5,600 s), so find the theoretical lower bound on makespan, search for a job-to-machine assignment achieving it, then size the workforce from the two days-off lower bounds (workdays per week, and weekends off per 5 weeks) and show the larger one is achievable.

  1. Lower bound. Total work content across all 14 jobs is $\sum_jp_j=43{,}100$ s; with 3 identical parallel machines, no assignment can beat $$C_{max}\ge\left\lceil\frac{43{,}100}{3}\right\rceil=\boxed{14{,}367\ \text{s}}.$$
  2. Rebalanced assignment. An exhaustive branch-and-bound search over 3-way partitions of the 14 jobs (minimizing the largest machine load) finds: $$\text{A: B2401, B6183, B4056, B4813}\ (3{,}100+6{,}000+4{,}300+1{,}000=14{,}400\text{ s})$$ $$\text{B: B7982, B1184, B1847, B9989}\ (4{,}400+3{,}800+4{,}300+1{,}800=14{,}300\text{ s})$$ $$\text{C: B9455, B6298, B1910, B3311, B8212, B7214}\ (3{,}800+4{,}300+1{,}200+1{,}200+2{,}900+1{,}000=14{,}400\text{ s})$$ giving $\boxed{L_{max}=C_{max}=14{,}400\ \text{s}}$, only 33 s above the theoretical floor. Because every job time is a multiple of 100 s, every machine load is too, so no schedule can finish before the next multiple of 100 s above 14,367 s — 14,400 s is therefore provably optimal. This 4-hour cycle meets the manager's target with $\boxed{0\ \text{s}}$ of margin.
  3. Minimum workforce (part b). Three machines, each needing one full-time operator per shift, times three 8-hour shifts/day, seven days/week, gives a constant daily requirement of $R=3\times3=9$ operators every day of the week. This is a days-off scheduling problem with a weekends-off rule (Baker; Burns & Carter): “at least $A=2$ weekends off in every $B=5$ weeks, at most 5 days in a row”. Two lower bounds apply, and the larger one governs.
    Workday bound. A full-time operator works at most 5 of every 7 days, so $5N\ge7R$ and $N\ge\lceil63/5\rceil=13$.
    Weekend bound. Over any 5 consecutive weeks there are 5 Saturdays, each needing 9 operators: $5\times9=45$ operator-Saturdays. An operator with 2 full weekends off can work at most $B-A=3$ of those Saturdays, so $$N\ge\left\lceil\frac{B\,R}{B-A}\right\rceil=\left\lceil\frac{5\times9}{3}\right\rceil=15.$$ With 13 operators only $13\times3=39<45$ Saturday shifts could be staffed, so the weekends-off rule, not the 5-day week, sets the minimum.
    15 is achievable. Split the 15 operators into five crews of 3. (i) Weekends: in week $k$ crews $k$ and $k+1$ (cyclically, mod 5) take Saturday and Sunday off, so $15-6=9$ work every weekend day, and each crew has exactly 2 weekends off in every 5 weeks. (ii) Weekdays: each crew keeps the same two weekday rest days every week — crews 1–2 Mon+Tue, crew 3 Wed+Thu, crew 4 Thu+Fri, crew 5 Wed+Fri — so exactly 6 operators rest each weekday and 9 work. The longest possible run of work days is 5 (e.g. Wed–Sun for a Mon+Tue crew, Fri–Tue for a Wed+Thu crew), and a weekend off only shortens runs, so every rule holds. Hence $$\boxed{N_{min}=15\ \text{operators}}.$$
MachineJob setLoad (s)
AB2401, B6183, B4056, B481314,400
BB7982, B1184, B1847, B998914,300
CB9455, B6298, B1910, B3311, B8212, B721414,400
Makespan (part a)14,400 s = 4 h 0 min (meets deadline, 0 s margin)
Minimum workforce (part b)15 operators (weekend bound $\lceil5\times9/3\rceil$ governs; 5 crews of 3)
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