ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

Capsim Simulation: Realignment of Segment Products

Updated on March 27, 2013

After four rounds of play in the Capsim Simulation at Georgian Court University, Lakewood, NJ Summer Session 2012 the companies are positioned as follows.
On page 1 of the Capstone Courier at the end of Round 4 December 31, 2016, Cumulative Profit Statistics display:

Andrews $68,049,528;
Ferris $51,103,697; (Ferris is the computer generated company)
Erie $44,291,294;
Baldwin $31,770,063;
Digby $27,542,751;
Chester $24,176,648;

All companies are profitable, but a recession occurs in Round 5, therefore each team must be careful with segment unit sales forecasts. Overall Andrews is more profitable than Ferris the computer simulation company.

Andrews’ product Able dominates the Traditional segment with 35% profit share. Andrews’ product Acre leads in the Low End segment with 27% market share. Ferris has cornered the High End market with two products, Fist 31% market share and Fox 21% market share. Thus Ferris has 52% of the High End market with Andrews in third position with 18% market share. For the Performance segment Ferris product Foam has 33% market share. And finally in the Size segment Ferris product Fume has 37% market share.

In the second round, Ferris invented a new product Fox for the High End segment. To save expenses, Ferris never upgraded its Traditional product Fast. Fast’s Performance remained at 5.5 and Size at 14.5, throughout the simulation. Thus the product Fast has been realigned from the Traditional Segment to the Low End segment. Ferris has two products in the Low End segment Fast and Feat.

Team Chester is not competitive in the Traditional segment. Its Traditional product Cake has only 4% sales. The customer buying criteria, Ideal Position, in the Low End segment is 16%. Chester’s strategy for Round 5 and Round 6 is not to spend money for Research and Development to improve Cake’s Performance or Size. By not improving R&D, Cake will age and approach the ideal position of 7.0 years over the next two rounds. Age is 24% in importance for Low End customer buying criteria.

For Round 5 there is a negative 7.4% growth rate in the Low End segment. Industry sales demand for Low End sensors is the highest for all segments. The most important customer buying criteria in the Low End segment is Price at 53%. Thus Chester will lower the price of Cake to be competitive in the Low End market. If Chester prices Cake properly they will increase their market share in the Low End segment with two products Cedar and Cake.

At the end of Round 4, Chester is not competitive in the High End market with its product Cid. Cid has only 2% sales. In the High End segment the most important customer buying criteria is Ideal Positioning at 43%. Cid’s Performance coordinate is 8.5 and Size coordinate is 11.2. These coordinates are far below the fourth round’s High End, ideal position of Performance 12.5 and Size 7.5.

Since Ferris has realigned Fast from the Traditional segment to the Low End segment and Chester has removed Cake from the Traditional segment to the Low End segment there are only four products in the Traditional Segment. These products are: Andrews-Able, Baldwin-Baker, Digby-Daze and Erie-Eat. The Traditional Segment has large unit sales even in a recession.

Chester moves High End product Cid into the Traditional Segment by not making any R&D improvements. Ideal Positioning is 21% in importance. Cid will have the best Performance and Size in the Traditional segment in Round 5 and Round 6. The Ideal Age of 2.0 years is the most important criteria at 43% in the Traditional segment. Cid’s age will increase and be greater than the 2.0 years position. However, Chester will lower Cid’s Price to be competitive. Price is 23% in importance in the Traditional segment.

Andrews, Baldwin, Digby and Erie are competitive in all segments.
In Conclusion the Realigned Products to begin Round 5 are:
Ferris realigns Traditional product Fast to Low End.
Ferris invents product Fox for High End.
Chester realigns Traditional product Cake to Low End.
Chester realigns High End product Cid to Traditional.


    0 of 8192 characters used
    Post Comment

    No comments yet.


    This website uses cookies

    As a user in the EEA, your approval is needed on a few things. To provide a better website experience, uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

    For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at:

    Show Details
    HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
    LoginThis is necessary to sign in to the HubPages Service.
    Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
    AkismetThis is used to detect comment spam. (Privacy Policy)
    HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
    HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
    Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
    CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
    Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the or domains, for performance and efficiency reasons. (Privacy Policy)
    Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
    Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
    Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
    Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
    Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
    VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
    PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
    Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
    MavenThis supports the Maven widget and search functionality. (Privacy Policy)
    Google AdSenseThis is an ad network. (Privacy Policy)
    Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
    Index ExchangeThis is an ad network. (Privacy Policy)
    SovrnThis is an ad network. (Privacy Policy)
    Facebook AdsThis is an ad network. (Privacy Policy)
    Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
    AppNexusThis is an ad network. (Privacy Policy)
    OpenxThis is an ad network. (Privacy Policy)
    Rubicon ProjectThis is an ad network. (Privacy Policy)
    TripleLiftThis is an ad network. (Privacy Policy)
    Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
    Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
    Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
    Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
    ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
    Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)
    ClickscoThis is a data management platform studying reader behavior (Privacy Policy)