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22-Mec-B4 Integrated Manufacturing Systems · May 2015

Question 1 of 7: Lot Sizing Against a Requirements Schedule

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

Notes on this paper

Paper format. National Exams, May 2015 — 07-Mec-B4 Integrated Manufacturing Systems. Three hours, open book, any non-communicating calculator permitted. Seven questions are printed; any five constitute a complete paper and only the first five appearing in the answer book are marked, each of equal value (20 marks). All seven are solved here, because the complete set is the study resource. Questions 5, 6 and 7 are explicitly essay questions, in which the examiners award marks for clarity and organisation as well as content.

Reference texts. E. S. Buffa and R. K. Sarin, Modern Production / Operations Management, 8th ed. (requirements schedules, economic lot size, economic order interval, part-period balancing, production planning); R. B. Chase and F. R. Jacobs, Operations and Supply Chain Management, 16th ed. (demand components, adaptive forecasting, aggregate planning, statistical quality control); B. W. Niebel and A. Freivalds, Methods, Standards, and Work Design, 13th ed. (time study, performance rating, allowances, wage incentive plans); D. C. Montgomery, Introduction to Statistical Quality Control, 8th ed. (Shewhart charts, process capability); M. P. Groover, Automation, Production Systems, and Computer-Integrated Manufacturing, 5th ed. (process planning, CAPP, machinability data systems, maintenance); S. Nahmias and T. L. Olsen, Production and Operations Analysis, 7th ed. (forecasting, aggregate planning).

Question 1: Lot Sizing Against a Requirements Schedule (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. A twelve-week requirements schedule for one purchased motor drive unit, together with the average weekly requirement used by the square-root formulas, the cost of preparing a lot and the cost of carrying one unit for one week.

Given data — Table 1 requirements schedule and cost parameters
Week123456789101112
Requirement (units)25307512520032540010001000100

Average requirement as printed on the paper, $\bar{R}=116.7$ units per week; lot preparation cost $c_{p}=$ $400 per lot; carrying cost $c_{h}=$ $4 per unit per week; planning horizon twelve weeks.

Find. The complete inventory record — order releases and week-ending balances — and the total incremental cost (lot preparation plus carrying) for each of the three lot-sizing policies, and hence the policy that should be adopted.

Requirements schedule and part-period balancing record0100200300400123456789101112Week numberUnitsrequirementon hand at week endorder released
Figure 1.1 — the twelve-week requirements schedule (bars) with the week-ending balance produced by part-period balancing (line) and the weeks in which that policy releases an order (triangles). The schedule is strongly front-loading through week 7 and then collapses, which is why a single fixed lot size fits it badly.

Approach. Establish the two square-root parameters from the average requirement, then simulate each policy week by week against the tabulated discrete requirements — a lot-size rule is only meaningful once it has been run through the actual schedule — and cost each record as (number of lots)×$c_{p}$ plus $c_{h}$ times the sum of the week-ending balances.

  1. Reconcile the three statements of total demand before computing anything. The tabulated weekly requirements sum to $\sum R_{t}=1{,}480$ units, the summary line beneath Table 1 states 1,390 units, and the printed average implies $12\bar{R}=12(116.7)=1{,}400.4$ units. The three cannot all be right. Only the tabulated row can drive an inventory record, so the record is built from it; $\bar{R}$ is used exactly as the paper directs, inside the two square-root formulas.
  2. (a) Economic lot size. With a preparation charge per lot and a linear carrying charge, the classical lot size balances the two:$$Q^{*}=\sqrt{\frac{2\bar{R}\,c_{p}}{c_{h}}}=\sqrt{\frac{2(116.7)(400)}{4}}=\sqrt{23{,}340}=152.8\ \text{units}$$so the policy orders in fixed lots of $\boxed{Q^{*}=153\ \text{units}}$, releasing as many whole lots as are needed to cover each week.

Running that fixed lot against the schedule gives the record below. Weeks 6 and 7 each need more than one lot, which is the first symptom of a policy that ignores the timing of demand.

Inventory record (a) — fixed economic lot size Q = 153 units
WeekRequirement (units)Receipt (units)On hand at week end (units)Carrying charge ($)
125153128512
230—98392
375—2392
412515351204
5200153416
6325459138552
740030644176
810015397388
90—97388
10100153150600
110—150600
12100—50200
Total1480153010304120

Ten lots are released and the week-ending balances total 1,030 unit-weeks, so the two cost elements and their sum are$$TC_{a}=mc_{p}+c_{h}\sum_{t}I_{t}=10(\$400)+4(1{,}030)=\$4{,}000+\$4{,}120=\boxed{\$8{,}120}$$This is the dearest of the three policies, and the record shows why: the fixed lot is far too large for the opening weeks and far too small for weeks 6 and 7, so it carries stock at both ends of the horizon.

  1. (b) Economic periodic reorder model. The same balance expressed as a time between orders rather than a quantity gives the economic order interval$$T^{*}=\sqrt{\frac{2c_{p}}{c_{h}\bar{R}}}=\sqrt{\frac{2(400)}{4(116.7)}}=\sqrt{1.7138}=1.31\ \text{weeks}$$identical information to $Q^{*}$, since $T^{*}=Q^{*}/\bar{R}$. Because orders can only be placed on week boundaries, $\boxed{T^{*}=1.31\ \text{wk}\rightarrow T=1\ \text{week}}$, and both roundings must be costed before that is accepted.

At $T=1$ the policy is lot-for-lot: each week's requirement is ordered in that week, nothing is ever carried into the following week, and the two zero-requirement weeks generate no order at all.

Inventory record (b) — economic periodic reorder, T = 1 week
WeekRequirement (units)Receipt (units)On hand at week end (units)Carrying charge ($)
1252500
2303000
3757500
412512500
520020000
632532500
740040000
810010000
90—00
1010010000
110—00
1210010000
Total1480148000

Ten orders are placed — weeks 9 and 11 need none — and carrying cost is zero:$$TC_{b}=10(\$400)+4(0)=\boxed{\$4{,}000}$$Costing the other rounding confirms the choice: at $T=2$ the twelve weeks are covered by six orders ($2,400) but 780 unit-weeks are carried ($3,120) for a total of $5,520, which is $1,520 dearer. The total-cost curve is flat near its minimum, so the rounding genuinely has to be evaluated rather than assumed.

  1. (c) Part-period total cost balancing. The economic part period is the number of unit-weeks of stock whose carrying charge equals one lot preparation:$$EPP=\frac{c_{p}}{c_{h}}=\frac{400}{4}=\boxed{100\ \text{unit-weeks}}$$Starting in the first week with a live requirement, successive weeks are added to the lot while the accumulated part periods $\sum R_{t}(t-t_{0})$ stay nearest to 100; the lot is closed at whichever cover period leaves the accumulation closest to $EPP$.
  2. Accumulate the part periods, lot by lot. Lot 1 opens in week 1: adding week 2 accrues $30(1)=30$ part periods, adding week 3 would accrue a further $75(2)=150$ for 180, and $|100-30|=70$ beats $|100-180|=80$, so the lot closes at week 2 with 55 units. Lot 2 opens in week 3: adding week 4 accrues $125(1)=125$, and $|100-125|=25$ beats $|100-0|=100$, so the lot covers weeks 3–4, 200 units. Lots 3 and 4 are single-week lots, because the next week's requirement alone (325 and 400 units) blows straight past 100 part periods. Lot 5 opens in week 7 and picks up weeks 8 and 9 — $100(1)+0(2)=100$ part periods exactly — for 500 units.
  3. Settle the week-10 tie by cost, not by the inequality. Covering weeks 10–12 from one order accrues $100(2)=200$ part periods, and $|100-200|$ equals $|100-0|$. The tie is broken by costing both branches: one order saves a preparation ($400) but carries 100 units through weeks 10 and 11 ($800), a net loss of $400. Two orders it is.
Inventory record (c) — part-period total cost balancing, EPP = 100 unit-weeks
WeekRequirement (units)Receipt (units)On hand at week end (units)Carrying charge ($)
1255530120
230—00
375200125500
4125—00
520020000
632532500
7400500100400
8100—00
90—00
1010010000
110—00
1210010000
Total148014802551020

Seven lots are prepared and only 255 unit-weeks are carried, so$$TC_{c}=7(\$400)+4(255)=\$2{,}800+\$1{,}020=\boxed{\$3{,}820}$$Part-period balancing wins because it is the only one of the three rules that looks at when demand occurs: it consolidates the two small early weeks and the flat tail, and refuses to consolidate the week-6 and week-7 peaks, which are exactly the decisions the other two rules get wrong.

Final results — Question 1
PolicyParameterLots preparedPreparation costUnit-weeks carriedCarrying costTotal incremental cost
(a) Economic lot sizeQ = 153 units10$4,0001,030$4,120$8,120
(b) Economic periodic reorderT* = 1.31 wk → T = 1 wk10$4,0000$0$4,000
   (b) alternative roundingT = 2 wk6$2,400780$3,120$5,520
(c) Part-period balancingEPP = 100 unit-weeks7$2,800255$1,020$3,820 (best)

Check: the source states its total demand three different ways. The tabulated requirements sum to 1,480 units, the summary line says 1,390 units, and $\bar{R}=116.7$ implies 1,400. The inventory records above are built from the tabulated row, which is the only figure that can drive a week-by-week record, and $\bar{R}$ is used as printed inside the two square-root formulas, as the question directs. Substituting the tabulated average of 123.3 units/week instead gives $Q^{*}=157$ units and $T^{*}=1.27$ weeks — the same rounded order interval and the same ranking of the three policies, so the discrepancy changes no conclusion.

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