3. Basisfor decidingonstyle willbe Coefficientof VariationandnotStandardDeviation.
Ordersto be placed:
Style CoVar Average Forecast % to be ordered Order Quantity
Assault 0.13 2525 85% 2146
Seduced 0.14 4017 84% 3374
Entice 0.18 1358 80% 1086
Gail 0.19 1017 79% 803
Electra 0.19 2150 79% 1699
Daphne 0.29 2383 20% 240
Isis 0.31 1042 46% 240
Anita 0.32 3296 15% 240
Teri 0.35 1100 44% 240
Stephanie 0.47 1113 43% 240
Now,Total OrderQuantity=10,308 units
Explanation:
Obermeyermustorderthe maximumamountof those styleswiththe minimumvalue forCoVar.The
reasonisthat the variationof theirforecasteddemandislesserthanthe others.Now,the value for%to
be orderedhasbeenderivedas:
% to be ordered=(1-CoVar-0.02)*100%
0.02 in the above formulacorrespondsto2%.This 2% has beenkeptasa precautionagainstactual
demandfallingwaybelowthe forecasteddemand.
For Isisthissafetymarginhasbeenincreasedto5% as the CoVarfor Isisand otherbrandsisway beyond
the oneswiththe minimumCoVar(Styleswithfiguresfrom0.13 till 0.19). The figure forAnitahas been
derivedby adheringtothe minimumorderquantityperstyleof 240. The ideaisto delayorderingas
much as possible asthe March showinLas Vegas providedinformationwhichledtogreateraccuracyin
forecasting.Hence the Total Quantitybeingordered is10,308 units.
4. Answer 2:
As per the average forecast for each line a risk assessment was conducted for all lines In order to
determine what items should be produced. The Coefficient of Variation (COV) is determined in order to
analyse the risk associated with each product line. The key of the allocation is to make sure that the
production of first order is not wasted, i.e. do not produced too many units of unsalable styles in the
firstorder.
To determine the associated risk for each product line a benchmark of 0.2 COV was used and quantify
risk with the assumption that styles with a COV below 0.2 is considered a low risk item while any item
witha COV higherthan0.2 is consideredahighriskitem.
Basic criterionstoselectwhattoproduce inthe firstorderare:
Cheaperones(lesswaste)
Lessdemanduncertaintyones(lowerforecaststandarddeviation)
Highervolume ones(lesslikelytooverproduce)
If we assume that all women’s parkas are sold for the same price, we can define a risk factor as the
average demand minus first production divided by standard deviation. To determine how many of each
style to order in the first round, preference was given to the lower risk items. 80% of the lower risk
items should be ordered initially because itis more certain that the amounts forecasted will be accurate.
For items with a COV above 0.2 only 20% of the average forecast will be ordered so that Sport
Obermeyercanwaituntil afterthe Las Vegasshow toverifywith80% certaintythe successof eachstyle.
As the minimum production requirements for an order is only 600 units versus the 1,200 units required
in China, it is recommended that any high risk item be produced in Hong Kong because they are more
flexible, produce higher quality items. Also, with higher variability and higher risk it is safe to order from
locationswithlowminimumorderquantityrequirement.
To keep from overproducing, if an item requires less than 1,200 units due to production requirements,it
should be required that it be produced in Hong Kong. It must also be noted that the maximum
production for Sport Obermeyer is 20,000 units (on a 10% scale) and therefore this should be met but
not exceededwithinbothorderscombined.
5. Answer 3:
Style CoVar Average Forecast % to be ordered Order Quantity
Assault 0.13 2525 85% 2146
Seduced 0.14 4017 84% 3374
Entice 0.18 1358 80% 1086
Gail 0.19 1017 79% 803
Electra 0.19 2150 79% 1699
Daphne 0.29 2383 20% 480
Isis 0.31 1042 46% 480
Anita 0.32 3296 15% 480
Teri 0.35 1100 44% 480
Stephanie 0.47 1113 43% 480
Now,Total OrderQuantity=11,508 units
Explanation:
As explainedabove,the maximumordersize isdecidedonthe basisof the minimumvalue of CoVar.
Keepingthe logicconsistentwiththe one usedforHongKong,forthe low riskitems – Assault,Seduced,
Entice,Gail and Electra– the maximumpossible orderhasbeenplacedtakingintoaccountthe same
proportionforsafetystockas well.
For the highriskitems – Daphne,Isis,Anita,Teri,Stephanie –the orderquantityhasbeenkeptat the
minimumpossible amount.Also,the orderquantityforeachstyle safelycrossesthe figureof 240
(minimumquantitytobe orderedfor4 monthsproductioninHong Kong).Since the minimumorder
quantityisdouble thatof Hong Kong,the amountfor eachof these itemsbecomes480.
Whencomparedwiththe productioninHongKong,the difference isof 1200 units.Thisisprimarilydue
to the minimumorderquantity.ThiswouldaffectSport Obermeyerinanadverse waybecause these
highriskitemsare knownto have the most fluctuationsinthe demandandforecastcannotbe done
accuratelyforthem.Therefore orderinglargerquantitiesof these itemsismore riskyforSport
Obermeyer.
6. Answer 4:
Following are the operations changes recommended to Wally to improve performance.
Improve the demand forecasts made by buying committee. Should use a weighted
average method instead of just using a simple average.
Obtaining market feedback earlier than Las Vegas which can help converting some
Speculative production to Reactive production. For maximising the value of this
feedback Sport Obermeyer’s should include both small and large retailers & Urban and
Resort retailers
Predicting customer demand for individual styles and also if possible reducing number
of styles being handled.
Production system
Increasing quality of production in china
Reducing lead time of production specifically for preparation of raw materials.
Decreasing lead time for finished goods, which in turn will help to cater to existing
capacity
Company should emphasise more on dependability than on cost.
Choose raw material suppliers on the basis of ease of availability rather than cost factor
Process fast and efficiently orders through information sharing with suppliers
Building a local production unit for any last minute orders.
Supply chain
Increasing bargaining power with suppliers by ordering from big supplier who can
commit to be on time
Establish distribution centre in Seattle to reduce lead time and cost through inland
transportation from Seattle to Denver
Increasing service level requirements
Information Systems
Collect old data and analyse demand of show in Vegas and compare with actual
purchase
Using historical data to capture the market trend and market movement
7. Answer 5:
Comparisonof manufacturinginChinaVs.ManufacturinginHongKong
Hong Kong China
Cost of productionveryhigh Cheapertoproduce,extremelylow wage rates,
higherovertime hours,lowerlaborcostper
garmentof .78 US $ comparedto9.69 US $ in
Hong Kong
Smallervolumesrequired,600Units insame
style,More flexible
Larger volumesrequired,1200 Unitsin same style
Lessflexible
Staff ismore crosstrained,Fasterproduction Staff islesscross trained,Slowerproduction
Staff ismore efficient,10people ineach
parka line
Staff ismore inefficient,40people ineachparka
line,leadingtogreaterimbalance inthese lines
Each employee produces,twice asmuchas
Chinese workers
Qualityconcerns
Challenges
1. Wage rate
2. Work force
a. Low unemployment
b. Youngerworkersprefer
office jobs
Challenges
1. Workforce
a. Lessquality andcleanliness
conscious
b. Trainingrequirements
Smallerleadtimesforrawmaterial Higherleadtimesforraw material
Important Landmarks
US Market
Shipment Location
Suppliers
Production center
Distribution Center
8. Problemsof manufacturing inChina
Qualityandreliabilityof productsproducedinChina
Larger minimumorderandquotarestriction onproducts
Skill level of HongKongismuch betterthanChina
Raw materialsprocuredfromsuppliersfromdifferentcountriesincreasesleadtime
So the policyshouldbe toproduce inHong Kongin shortterm andtry to overcome limitationsof China
by makingbelowsequential improvementsandinlongtermproductionshouldbe done inChina.
1. Increase efficiencyof staff bytrainingthematHongKong andgivingthemcross trainings
2. Givingworkerscrossoperationroles,therebyreducingsize of parkaline andreducing
imbalance inthe lines
3. Qualitycanbe improvedbyimprovingthe process(KPI’s,eliminatingwaste fromsystem)
Short Term
Hong Kong
Overcome
limitations of
manufacturing in
China
Long Term
China