22-Mec-B4 Integrated Manufacturing Systems · December 2014
Question 5 of 7: Design of an Inventory Control System for a New Product
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. National Exams, December 2014 —
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 submit a clear statement of 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 inventory, break-even and quality material; Groover,
Automation, Production Systems, and Computer-Integrated Manufacturing
(Pearson) for process planning, CAPP, group technology and materials handling;
Montgomery, Introduction to Statistical Quality Control (Wiley) for the
Shewhart chart constants and the normal-tail arithmetic of Question 1;
Nahmias & Olsen, Production and Operations Analysis (Waveland) for
the production-lot inventory model of Question 5 and the forecasting
material of Question 7; Kalpakjian & Schmid, Manufacturing
Engineering and Technology (Pearson) for the machining and CAD 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; costs are read as Canadian dollars because the paper
does not say otherwise.
Question 5: Design of an Inventory Control System for a New Product (20 marks)
Given. A make-to-stock item replenished by internal
production, so stock builds up gradually rather than arriving all at once: Every one of the seven data
items (a) to (g) supplied by the question is used below.
Quantity
Symbol
Value
(a) Economic lot size
Q
1,000 units
(b) Production (supply) rate
p
50 units/day
(c) Usage (demand) rate
d
20 units/day
(d) Lead time from order to production start
L
10 ± 5 days
(e) Annual holding cost per unit
H
$5.00
(f) Production cost per unit
c
$15.00
(g) Working days per year
—
240
Find. A complete operating policy — annual demand, run
frequency and length, cycle length, maximum and average inventory, safety stock,
reorder point, the implied set-up cost, and the annual cost of the system —
sufficient for a stock clerk to run the item without further analysis.
Approach. Because supply and consumption overlap, the
governing model is the production-lot (economic production quantity) model
rather than the ordinary EOQ: build the inventory profile from the net
accumulation rate $p-d$, derive the timing and cost figures from it, then set the
reorder point from the demand during the maximum lead time.
Figure 5.1 — The saw-tooth inventory profile of the
proposed system, drawn over two 50-day cycles. Stock builds for 20 days at
30 units/day while the run is in progress, then falls for 30 days at
20 units/day. The purple markers show where the on-hand balance passes the
300-unit reorder point and the next order must be placed.
Establish annual demand and the run frequency. Usage is
uniform over the working year, so
$$D \;=\; d \times (\text{days/yr}) \;=\; 20 \times 240 \;=\; 4{,}800 \text{ units per year}$$
and with a lot size of 1,000 units the number of production runs is
$$m \;=\; \frac{D}{Q} \;=\; \frac{4{,}800}{1{,}000} \;=\; 4.8 \text{ runs per year}$$
— in practice five runs in some years and four in others, or a standing
schedule of one run every 50 working days.
Determine the length of a run and of a cycle. The lot takes
$$t_p \;=\; \frac{Q}{p} \;=\; \frac{1{,}000}{50} \;=\; 20 \text{ working days to produce}$$
and the lot lasts
$$t_c \;=\; \frac{Q}{d} \;=\; \frac{1{,}000}{20} \;=\; 50 \text{ working days}$$
so each cycle consists of 20 days of simultaneous production and consumption
followed by 30 days of consumption alone. Note $240/50 = 4.8$ cycles per year,
which agrees with the run frequency above.
Compute the maximum and average inventory. While the run is
under way stock accumulates at the net rate $p - d = 50 - 20 = 30$ units per
day, so the peak reached at the end of the run is
$$I_{\max} \;=\; (p-d)\,t_p \;=\; Q\left(1 - \frac{d}{p}\right) \;=\; 1{,}000\left(1 - \frac{20}{50}\right) \;=\; 600 \text{ units}$$
$$\boxed{I_{\max} = 600 \text{ units},\qquad \bar{I} = \tfrac{1}{2}I_{\max} = 300 \text{ units}}$$
The peak is only 600, not the full 1,000, because 400 units are consumed while
they are being made — the single most important difference between this
model and ordinary EOQ.
Cost the cycle stock. Carrying the average cycle inventory
for a year costs
$$C_{\text{hold}} \;=\; \bar{I}H \;=\; 300 \times 5.00 \;=\; \$1{,}500 \text{ per year}$$
Recover the set-up cost implied by the given lot size, and use it as
a consistency check. The question states the lot size is economic, which
means it satisfies the production-lot formula
$Q = \sqrt{2DS/[H(1-d/p)]}$. Inverting for the set-up cost $S$,
$$S \;=\; \frac{Q^{2}H\left(1-\dfrac{d}{p}\right)}{2D} \;=\; \frac{(1{,}000)^{2}(5.00)(0.60)}{2(4{,}800)} \;=\; \$312.50 \text{ per run}$$
Substituting $312.50 back into the formula reproduces
$Q = 1{,}000$ exactly, and the annual set-up cost
$mS = 4.8 \times 312.50$ comes to $1,500, which equals the annual holding cost — the
balance that always holds at an economic lot size. The data are therefore
internally consistent, and the shop now knows what a set-up must cost for the
1,000-unit lot to remain correct: if set-ups can be reduced below $312.50 the
lot size should be cut.
Set the safety stock and the reorder point. The lead time
from placing the order to the start of production is 10 days but may be as
long as 15. Demand over the expected lead time is
$$d L \;=\; 20 \times 10 \;=\; 200 \text{ units}$$
and the extra five days of possible delay must be covered by safety stock,
$$SS \;=\; d \,\Delta L \;=\; 20 \times 5 \;=\; 100 \text{ units}$$
so the order is released when the on-hand balance falls to
$$\boxed{ROP \;=\; d(L + \Delta L) \;=\; 20 \times 15 \;=\; 300 \text{ units}}$$
With the safety stock in place the profile oscillates between 100 and
$600 + 100 = 700$ units, and the balance passes the reorder point 20 days
after the end of each run.
Cost the safety stock and assemble the annual cost of the
system. The safety stock is held permanently, so it costs
$SS \times H = 100 \times 5.00$, that is $500 per year. The full annual cost is
then
$$TC \;=\; Dc \;+\; mS \;+\; \bar{I}H \;+\; SS\cdot H$$
$$TC \;=\; 72{,}000 \;+\; 1{,}500 \;+\; 1{,}500 \;+\; 500 \;=\; \$75{,}500 \text{ per year}$$
$$\boxed{TC = \$75{,}500/\text{yr}, \text{ of which } \$3{,}500 \text{ is inventory-related}}$$
Inventory management therefore controls under five per cent of the total cost of
the item, which is worth stating: the leverage in this product lies in the
$15 production cost, not in the stockroom.
State the operating policy in the form the stockroom will use.
The system is a continuous-review, fixed-order-quantity (Q, ROP) system:
review the balance after every issue; when the on-hand balance falls to 300
units, release a production order for 1,000 units; the run will start within
10 to 15 days and will take 20 working days to complete; the balance
will bottom out near 100 units and peak near 700. Supporting figures for the
stock record: 4.8 runs per year, one every 50 working days; peak inventory
investment $10,500 (700 units at $15); inventory turnover
$D/(\bar{I}+SS) = 4{,}800/400 = 12$ turns per year. Because the item is new,
the policy should be reviewed after two or three cycles against actual usage,
since the whole structure rests on the assumed 20 units/day.
Check: the ±5 days is read as a safety-stock requirement, and
no set-up cost was given. Two readings of the ±5 days are
defensible. Treating it as the worst-case delay, as above, gives a 100-unit
safety stock and a 300-unit reorder point, which is the conservative choice for a
new product with no demand history. Treating it instead as an interval of about
±2 standard deviations of a symmetric lead-time distribution gives
$\sigma_L \approx 2.5$ days, a safety stock of $z\,d\,\sigma_L = 1.645 \times 20
\times 2.5 = 82$ units at a 95 per cent service level, and a reorder point
of 282 units — a difference of well under one day's usage, so the
policy is insensitive to the choice. Separately, no set-up or ordering cost is
given, so the $312.50 above is derived from the statement that 1,000
units is the economic lot size rather than assumed; both statements are made
under Note 1 of the paper.