23-Ind-A1 Operations Research · Undated paper
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exams — May 2019 — 17-Ind-A1 Operations Research. Three-hour, open-book exam (any non-communicating calculator permitted); the paper totals 175 marks across 10 questions and only 100 marks are required, so a candidate would normally answer a subset — all ten are solved below for completeness.
Reference texts: Hillier & Lieberman, Introduction to Operations Research (11th ed., McGraw-Hill) — linear programming & the simplex method (ch. 3–4), duality & sensitivity analysis (ch. 6), dynamic programming (ch. 11), network optimization & CPM/PERT project crashing (ch. 9–10), queueing theory incl. finite-source (machine-repair) models (ch. 17), decision analysis & the value of information (ch. 15–16), Markov chains (ch. 16), Monte Carlo simulation (ch. 20). Nahmias, Production and Operations Analysis — deterministic EOQ inventory models with and without planned shortages.
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. 6 sales staff to allocate among 3 regions, each region receiving 1 to 4 staff (each ≥1 since every region must get at least one, leaving at most 4 for any single region); sales table as above (in $'000).
Find. The staff allocation $(n_1,n_2,n_3)$, $n_1+n_2+n_3=6$, that maximizes total estimated sales.
Approach. Solve as a 3-stage allocation dynamic program: stage $k$ = region $k$, state = staff remaining to allocate, decision = staff assigned to that region; build up cumulative-best tables $f_1,f_2,f_3$ stage by stage.
| $n$ | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|
| $f_2(n)$ | 56 | 77 | 91 | 105 | 118 | 130 |
| best $(n_1,n_2)$ | (1,1) | (1,2) | (1,3) | (1,4) | (2,4) | (3,4) |
| Item | Value |
|---|---|
| Region 1 staff | 1 (sales $35,000) |
| Region 2 staff | 4 (sales $70,000) |
| Region 3 staff | 1 (sales $28,000) |
| Maximum total sales | $133,000 |