Wageningen MSc Management, Economics & Consumer Studies · Netherlands · Wageningen University & Research
Original practice questions written to the published syllabus · not past papersWageningen MSc Management, Economics & Consumer Studies is a postgraduate admission exam run by Wageningen University & Research, for candidates in Netherlands. Five specialisations; entry on a relevant BSc.
Source: wur.nl.
Checked against the exam body's published information. Formats and fees change; confirm the current edition there before you book.
Moving agricultural and food products efficiently from source to buyer: planning, procurement, inventory, transport, warehousing, cold chain and outsourced logistics.
Our 19 Wageningen MSc Management, Economics & Consumer Studies questions in this subject: 1 easy, 11 medium, 7 hard, across 11 units.
Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.
These 10 were written to Wageningen MSc Management, Economics & Consumer Studies and are not shown on any other exam's page.
An exporter delivers on time 95% of the time, complete 98%, undamaged 97% and with correct documents 99%, and these are independent. What is its perfect order rate?
A. about 89.4%
A perfect order needs all four conditions, so the rate is the product: 0.95 x 0.98 x 0.97 x 0.99 = 0.8940, about 89.4%. Averaging the components or taking the weakest one overstates performance.
Actual demand for four weeks was 100, 120, 90 and 110 units against forecasts of 110, 110, 100 and 100. What are the MAD and the bias (sum of errors)?
C. MAD 10, bias 0
Errors (actual - forecast) are -10, +10, -10, +10. MAD = mean of absolute errors = 40/4 = 10; bias = sum of signed errors = 0. The method is unbiased but not precise. Summing absolute errors as bias (40) or averaging signed errors as MAD (0) are the usual mix-ups. (MAPE here is about 9.6%.) MAD 2.5 divides the mean absolute error by 4 a second time.
Which method is the natural choice for a monthly milk-intake forecast with a clear upward trend and a strong flush-and-lean seasonal pattern?
A. Holt-Winters (trend- and seasonality-adjusted) exponential smoothing
Holt-Winters adds smoothed trend and seasonal factors. Moving averages and simple exponential smoothing lag a trend and ignore seasonality, and the naive forecast simply repeats last month.
A packhouse uses on average 500 crates a day (sd 80); supplier lead time averages 4 days with sd 1 day. The standard deviation of demand during lead time is about
C. 525 crates
sd(LTD) = sqrt(L x sd^2 + d^2 x sL^2) = sqrt(4 x 6400 + 250000 x 1) = sqrt(275600) = 525.0. Ignoring lead-time variation gives 160; adding standard deviations instead of variances gives 660. 500 keeps only the lead-time term (d × sL = 500 × 1).
Three markets lie at grid points (10, 20) taking 300 t, (40, 10) taking 100 t and (30, 50) taking 200 t. The centre-of-gravity location for a depot is about
D. (21.7, 28.3)
X = (10x300 + 40x100 + 30x200)/600 = 13,000/600 = 21.7; Y = (20x300 + 10x100 + 50x200)/600 = 17,000/600 = 28.3. The unweighted mean of the points is (26.7, 26.7), which ignores volumes. (80, 80) adds the coordinates without weighting or dividing.
In Chopra and Meindl's distribution designs, 'manufacturer storage with direct shipping' (drop-shipping) typically offers
A. low inventory via centralisation but high outbound transport and slow response
Centralised stock at the manufacturer pools inventory, but shipping small orders individually over long distances is costly and slow, and returns are harder. The distractors state the opposite of each trade-off.
In the Clarke-Wright savings method, the depot is 0. Distances: d(0,A) = 40 km, d(0,B) = 50 km, d(A,B) = 30 km. The saving from serving A and B on one route instead of two separate round trips is
C. 60 km
Saving s(A,B) = d(0,A) + d(0,B) - d(A,B) = 40 + 50 - 30 = 60 km. Two separate trips cost 2(40) + 2(50) = 180; one route 0-A-B-0 costs 40 + 30 + 50 = 120; 180 - 120 = 60. 90 km forgets to subtract d(A,B).
A dairy recalls one production day's yoghurt after a contamination alert. What most determines how much product must be withdrawn?
A. The granularity of lot coding and the records linking lots to customers
With small, well-recorded lots, only affected lots are traced forward and withdrawn; with coarse or missing records, the firm must pull far more. Fleet size, price and rotation rule do not define recall scope.
A common textbook rule is that, within normal handling temperatures, the respiration rate of fresh produce for each 10 degrees C rise roughly
D. doubles or triples (Q10 of about 2 to 3)
The temperature quotient Q10 for respiration is commonly about 2 to 3 in this range, which is why prompt cooling so strongly extends shelf life.
Compared with barcodes, RFID tags in fresh-food logistics
A. can be read without line of sight and many at once, but cost more
RFID allows bulk, non-line-of-sight reading and unique serials, but tags cost more than printed barcodes and radio signals are absorbed or reflected by water and metal, which matters for moist produce and cans.
This plan follows where our questions actually fall, so the time goes where the marks are likely to be. It is our reading of the syllabus, not the exam body's weighting.
Read the manual chapters for these first and do every worked question you can find on them.
Aim for one sitting per unit, then mixed questions across them.
Learn the definitions, classifications and standard numbers; these units are more often recalled than worked.
Come back to these after a first pass, untimed, and read every explanation, including for the options you rejected.
Do these early in revision so they are fast on the day.
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