Supply Chain Excellence [Electronic resources] : A Handbook for Dramatic Improvement Using the SCOR Model نسخه متنی

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Peter Bolstorff, Robert Rosenbaum

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Chapter 5). There are two main sources for the benchmark data. First, statistically significant supply chain data is available through the Supply-Chain Council's subscription contract with The Performance Measurement Group (PMG). Second, publicly acquired 10K financial data is available from sources like Marketguide, Hoovers, Forbes, and so on.


PMG data is used to fill in the customer-facing and supply chain-specific internal metrics, while the 10K data fills in the standard internal and shareholder metrics. In addition to those standard sources, the company may have internal sources of benchmark data that may be relevant.

The most important rule of thumb is to calculate the actual data in the same way the benchmarks are calculated. With that in mind, the first part of the day is a guided line-by-line tour of the PMG benchmark survey questions. (See pmgbenchmarking.com for a sample question.) Using SCOR metric definitions on the worksheets as the formula, the team develops the actual data query for each appropriate SCORcard metric, and then identifies the most appropriate individual on the design team to collect the actual data for a particular metric. The second part of the day focuses on planning the assembly of an industry comparison spreadsheet. This spreadsheet summarizes additional actual and benchmark data for the shareholder metrics of profitability, returns, and share performance at the enterprise level (Table 4-3). The first step in building the comparison is to search for the company name on hoovers.com. From the Search Results screen, click on Financials to access the company's quarterly financial income statement and balance sheet summaries. Under the Free section, choose Annual Financials. Now copy the appropriate shareholder data to the spreadsheet. To search other relevant companies, click on the highlight industry group at the top of the screen. Go through these steps for each publicly traded company to be included in the comparison. The industry comparison list should contain somewhere between fifteen and twenty-five companies and as many industries as necessary to compare relevant competition at the business group level. At Fowlers, the corporate controller, director of logistics, and director of customer service volunteered to collect the PMG data together because they had the easiest access to the financial and customer order information and had extended team resources who could help collect the data. The design team decided to aggregate the food and technology products data for a single submission to PMG. The corporate controller, vice president of sales and marketing in the food products group, and—in his capacity as vice president of operations for the technology products group—David Able took responsibility for assembling the industry comparison spreadsheet. Because the team knew that Fowlers' own data was listed in the "conglomerates industry" on hoovers.com, they requested that food and computer industries be added to the list for more specific comparisons to the operating groups. The director of applications planned to assign an extended team resource to help with actual data queries and collection.

Table 4-3: Sample industry comparison spreadsheet and raw data.





















































































Industry Comparison—Computer Network Industry—Hoovers.com


Revenue


SG&A


Cost of Goods


Cash-to-Cash Cycle Time


Inventory Days of Supply


Asset Turns


Gross Margin


Operating Income


Net Operating Income


Return on Assets


YOUR COMPANY—Q3


55.4


40%


60%


151


106


0.84


40%


0%


4%


-0.1%


YOUR COMPANY—2000


176.1


41%


47%


159


98


0.66


53%


12%


7%


7.8%


YOUR COMPANY—2001 Q3 YTD


126.3


49%


61%


205


137


0.64


39%


-11%


-4%


-5.1%


Network Appliance, Inc.


1006.0


29%


40%


58


20


1.58


60%


31%


7%


49.1%


Dassault Systemes S.A.


546.0


57%


14%


91


0


1.17


86%


28%


16%


33.0%


The Titan Corporation


1033.0


25%


73%


105


12


2.23


27%


1%


-2%


3.3%


RadiSys Corporation


340.7


24%


66%


130


87


1.30


34%


10%


10%


12.9%


Convergys Corporation


2320.6


30%


55%


35


0


5.91


45%


16%


9%


70.0%


3COM


2820.9


64%


81%


39


32


1.61


19%


-45%


-34%


-54.9%


Enterasys Networks, Inc.


1071.5


66%


52%


106


64


1.08


48%


-18%


-57%


-15.0%


Jack Henry and Associates


345.5


19%


56%


94


0


2.68


44%


25%


16%


49.8%


Novell, Inc.


1040.1


80%


32%


51


1


1.35


68%


-12%


-26%


-11.8%


Reynolds and Reynolds


1004.0


39%


44%


24


9


4.68


56%


17%


10%


60.0%


Cerner Corporation


404.5


71%


22%


149


9


1.87


78%


6%


26%


8.9%


The Black Box Corporation


827.0


26%


60%


79


38


4.13


40%


14%


8%


43.7%


Integraph Corporation


690.5


40%


63%


86


21


2.44


37%


-3%


1%


-6.3%


Entrada Networks, Inc.


25.7


66%


67%


130


98


1.56


33%


-33%


-82%


-38.6%


Inrange Technologies Corporation


233.6


35%


45%


197


102


1.03


55%


20%


6%


15.6%


Computer Networks Industry


100.0


35%


52%


58


20


1.23


48%


13%


2%


12.0%


Networking Solutions Q3


38.9


50%


47%


NA


NA


NA


53%


3%


NA


NA


Storage Solutions Q3


16.5


17%


91%


NA


NA


NA


9%


-8%


NA


NA


Industry Parity


618


40%


55%


99


27


1.57


45%


8%


6%


8%


Industry Advantage


970


33%


43%


69


13


2.90


57%


17%


11%


30%


Industry Superior—90th Percentile


1321


25%


30%


38


0


4.24


70%


25%


16%


52%











































































Source: 2000 Pragmatek Consulting Group, Ltd. Used with permission.





Raw Data (in millions)


Revenue $


SG&A $


Cost of Goods $


Inventory $


Receivable $


Total Assets $


Gross Margin $


Operating Income $


Net Operating Income $


YOUR COMPANY—Q3


55.4


22.3


33.3


38.6


45.5


262.3


22.1


-0.2


2.4


YOUR COMPANY—2000


176.1


72


83.2


22.4


43.6


268.6


92.9


20.9


12


YOUR COMPANY—2001 Q3 YTD


126.3


62.3


77.3


38.6


45.5


262.3


49


-13.3


-5


Network Appliance, Inc.


1006.0


292


402


22.5


187


636


604


312


75


Dassault Systems S.A.


546.0


313.5


78.3


0


181


467


467.7


154.2


90


The Titan Corporation


1033.0


260.7


757


25.4


347


463.3


276


15.3


-18.7


RadiSys Corporation


340.7


82.9


223.8


53.2


68.2


262.8


116.9


34


32.6


Convergys Corporation


2320.6


685.5


1268.7


0


413


523.1


1051.9


366.4


215.5


3COM


2820.9


1814.6


2287.3


200.1


286.8


2334.8


533.6


-1281


-965.4


Enterasys Networks, Inc.


1071.5


711.2


558.4


98.2


210.9


1322.2


513.1


-198.1


-606


Jack Henry and Associates


345.5


65.9


193.9


0


117.1


172.1


151.6


85.7


55.6


Novell, Inc.


1040.1


833


327.9


0.9


227


1027.4


712.2


-120.8


-272.9


Reynolds and Reynolds


1004.0


389.4


442.9


10.8


125


286.2


561.1


171.7


99.6


Cerner Corporation


404.5


288.8


90.1


2.2


188


288.5


314.4


25.6


105.3


The Black Box Corporation


827.0


216.2


493.9


51.1


160.9


267.3


333.1


116.9


64.2


Integraph Corporation


690.5


275.9


438.2


25.3


178.9


377.5


252.3


-23.6


10.1


Entrada Networks, Inc.


25.7


17


17.2


4.6


4.4


22


8.5


-8.5


-21.2


Inrange Technologies Corporation


233.6


81.5


105


29.3


80


301.1


128.6


47.1


14.3


Computer Networks Industry


100.0


35


52


2.8


18.8


108.7


48


13


2.4


Networking Solutions Q3


38.9


19.5


18.3


NA


NA


NA


20.6


1.1


NA


Storage Solutions Q3


16.5


2.8


15


NA


NA


NA


1.5


-1.3


NA



The key deliverables that the team set out to produce (which will be needed for review during Week Three) include: a completed PMG benchmark survey form, a completed industry comparison spreadsheet, and updated SCORcards with actual query results.

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