Kenneth C. Laudon,Jane P. Laudon Management Information System 12th Edition pdf



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Kenneth C. Laudon ( PDFDrive ) (1)

decision-support systems (DSS)

support more non-routine

decision making. They focus on problems that are unique and rapidly chang-

ing, for which the procedure for arriving at a solution may not be fully prede-

fined in advance. They try to answer questions such as these: What would be

the impact on production schedules if we were to double sales in the month of

December? What would happen to our return on investment if a factory sched-

ule were delayed for six months?

Although DSS use internal information from TPS and MIS, they often bring

in information from external sources, such as current stock prices or product

prices of competitors. These systems use a variety of models to analyze the data

and are designed so that users can work with them directly.

An interesting, small, but powerful, DSS is the voyage-estimating system of a

subsidiary of a large American metals company that exists primarily to carry

bulk cargoes of coal, oil, ores, and finished products for its parent company.

The firm owns some vessels, charters others, and bids for shipping contracts in

the open market to carry general cargo. A voyage-estimating system calculates

financial and technical voyage details. Financial calculations include ship/time

costs (fuel, labor, capital), freight rates for various types of cargo, and port

expenses. Technical details include a myriad of factors, such as ship cargo

capacity, speed, port distances, fuel and water consumption, and loading pat-

terns (location of cargo for different ports).

FIGURE 2-4

SAMPLE MIS REPORT

This report, showing summarized annual sales data, was produced by the MIS in Figure 2-3.



Chapter 2

Global E-business and Collaboration

49

The system can answer questions such as the following: Given a customer



delivery schedule and an offered freight rate, which vessel should be assigned

at what rate to maximize profits? What is the optimal speed at which a particu-

lar vessel can maximize its profit and still meet its delivery schedule? What is

the optimal loading pattern for a ship bound for the U.S. West Coast from

Malaysia? Figure 2-5 illustrates the DSS built for this company. The system

operates on a desktop personal computer, providing a system of menus that

makes it easy for users to enter data or obtain information.

The voyage-estimating DSS we have just described draws heavily on models.

Other systems supporting non-routine decision making are more data-driven,

focusing instead on extracting useful information from large quantities of data.

For example, Intrawest—the largest ski operator in North America—collects and

stores large amounts of customer data from its Web site, call center, lodging

reservations, ski schools, and ski equipment rental stores. It uses special

software to analyze these data to determine the value, revenue potential, and

loyalty of each customer so managers can make better decisions on how to

target their marketing programs. The system segments customers into seven

categories based on needs, attitudes, and behaviors, ranging from “passionate

experts” to “value-minded family vacationers.” The company then e-mails video

clips that would appeal to each segment to encourage more visits to its resorts. 

All of the management systems we have just described are systems for busi-

ness intelligence. 


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