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(1)

BUSINESS ARCHITECTURE (BA)

BA redesign

Deliverable structure

Illustration of key sections

(2)

Structure of the KPI assignment

for the case “A day in Radiology”

The blocks represent the sections of the deliverable

(3)

2. CSF : description template

CSF

Metri

c

Comments

Location

Distance from customer plants

(KM)

It influences both service

level and cost to customers

Total cost to

customer

Service price + accessory costs +

time spent by the customer to use

and manage the service

Cost is key in commodity

service business

Timeliness

Errors / total deliveries (errors =

late deliveries + lost cars)

Potential base for a SLA

(Service Level Agreement)

Flexibility

Accepted change requests / total

change requests

Potential base for a SLA

(Service Level Agreement)

Efficiency

Unit costs per transported car

It defines the sustainability of

TRASPO business

A CSF template should be described for each operator i.e. Region, General

Practitioner, Lab

(4)

3. Stakeholder description

Stakeholder

Overall profile of the stakeholder

Critical Performances

Patient

General

Practitioner

Lab

Local Government

Describe the key performances that are expected by each stakeholder and a general

profile of each stakeholder

Stakeholders in the case study include : General Practitioner , Local Government ,

Patient, Lab (Specialists and Call center are skipped for the sake of simplicity)

(5)

4. KPI elicitation and description

• Select 10 performance

indicators (KPIs) from the

standard grid

• Selected KPIs should cover

all stakeholders

• Fill the metadata card for

each selected KPI

• 2-4 pages of comments are

welcome

(6)

4. Assess robustness

6

Please assess robustness of selected KPIs through the 5-score method (see above)

A page of comment is welcome

(7)

5. Interpretation

Process

summary

Manager

Summary

Customer

Summary

Worker

Summary

• Interpretation is made bottom

up in two steps:

– Stakeholder summary: it

summarizes cost, quality,

service performances for each

stakeholder class

– Process summary: it

summarizes the overall

assessment of performances of

each stakeholder class

(8)

5. Benchmarking

• The performances s of Healthcare system should be compared with

similar systems

• This research should be made by analyzing

– Websites

– White paper

– Journals and research paper

• The assignment report should state

– The sample of the research (ie. Italy vs China or Lombardy vs France)

– The method for selecting sources

– KPI Benchmark analysis of selected KPI (no more than 10 not less than 5) :

value in the case, values in the reference sample, gap, comments

– List of sources

(9)

Regione Lombardia website on Healthcare

http://www.trendedati.re

gione.lombardia.it/area-

sociale/dati/sistema-

sanitario-regionale-

salute-pubblica/risultato-

esercizio-bilancio-

sanitario-2011-prima-delle-coperture.html

(10)

An excerpt of Lombardia website

(11)

Overall information on Italy’s healthcare

performances www.ISTAT.it

(12)

Data on Italy’s healthcare performances

http://www.salute.gov.it

/

Tavola 3.7 ‐ Distribuzione delle dimissioni per regione, regime di ricovero e tipo di ricovero ‐ Attività per Acuti ‐ Anno 2010

numero % numero % numero % numero % numero % numero % numero % numero % numero % numero % numero % Pi emonte       56.351    11,3     156.363    31,5     253.728    51,0        694      0,1       29.932      6,0        ‐       ‐     497.068 100,0      192.867 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Va l l e d'Aos ta        ‐       ‐         4.535    31,4         9.878    68,4        35      0,2        3      0,0        ‐       ‐       14.451 100,0          5.747 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Lomba rdi a       16.461      1,3     485.446    39,0     594.129    47,7         1.202      0,1     148.025    11,9        ‐       ‐ 1.245.263  100,0      339.470 100,0         ‐       ‐        ‐       ‐        ‐       ‐ P.A. Bol za no        605      0,9       22.979    32,8       45.300    64,7        37      0,1        229      0,3        815      1,2       69.965 100,0        12.310    46,8       13.149    49,9        ‐       ‐        1      0,0 P.A. Trento        ‐       ‐       18.321    34,3       34.678    64,9        40      0,1        430      0,8        1      0,0       53.470 100,0        29.057 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Veneto         8.779      1,7     186.269    35,4     309.615    58,8        569      0,1       21.571      4,1        ‐       ‐     526.803 100,0      196.290 100,0         1      0,0        ‐       ‐        ‐       ‐ Fri ul i  V.G.        ‐       ‐       50.966    35,0       80.250    55,1        65      0,0       14.301      9,8        ‐       ‐     145.582 100,0        51.556 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Li guri a         2.649      1,4       58.643    30,4     126.718    65,6        291      0,2         4.737      2,5        ‐       ‐     193.038 100,0      140.418    99,8        215      0,2        ‐       ‐        ‐       ‐ Emi l i a  Roma gna       11.762      2,0     222.747    37,5     313.879    52,8         1.158      0,2       44.672      7,5        ‐       ‐     594.218 100,0      199.244 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Tos ca na         8.901      1,9     181.599    39,3     222.841    48,2        282      0,1       48.548    10,5        1      0,0     462.172 100,0      156.551 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Umbri a         2.309      1,9       37.090    30,3       74.684    61,0        185      0,2         8.097      6,6        ‐       ‐     122.365 100,0        37.175 100,0         7      0,0        ‐       ‐        ‐       ‐ Ma rche         2.342      1,2       84.598    43,5     102.347    52,7        340      0,2         4.344      2,2        390      0,2     194.361 100,0        61.330 100,0         ‐       ‐        ‐       ‐        ‐       ‐ La zi o       15.323      2,1     300.029    41,5     359.850    49,7         1.126      0,2       47.384      6,5        ‐       ‐     723.712 100,0         ‐       ‐     352.315    97,9        ‐       ‐        85      0,0 Abruzzo        613      0,4       69.355    43,8       86.398    54,6        213      0,1         1.665      1,1        ‐       ‐     158.244 100,0        42.169    64,6       22.734    34,8        154      0,2        3      0,0 Mol i s e        ‐       ‐       25.852    51,9       22.169    44,5        58      0,1         1.753      3,5        ‐       ‐       49.832 100,0        21.416 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Ca mpa ni a       12.329      1,8     251.530    36,8     395.354    57,8         1.066      0,2       23.810      3,5        ‐       ‐     684.089 100,0      372.381 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Pugl i a       12.878      2,2     218.941    37,7     319.265    54,9        809      0,1       29.246      5,0        ‐       ‐     581.139 100,0      232.132 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Ba s i l i ca ta        ‐       ‐       23.553    38,6       34.081    55,8        48      0,1         3.379      5,5        ‐       ‐       61.061 100,0        37.157 100,0         ‐       ‐        ‐       ‐        ‐       ‐ Ca l a bri a         3.555      1,7       81.089    37,9     123.397    57,7        333      0,2         5.070      2,4        476      0,2     213.920 100,0        51.385    58,5       20.308    23,1        69      0,1        5      0,0 Si ci l i a         2.964      0,5     228.773    39,4     330.379    57,0         1.700      0,3       15.624      2,7        479      0,1     579.919 100,0      326.331    99,7         1.052      0,3        3      0,0        ‐       ‐ Sa rdegna        267      0,1       47.574    23,3     136.993    67,1        424      0,2       18.835      9,2        ‐       ‐     204.093 100,0        11.458    13,9       53.730    65,3         8.368    10,2        7      0,0 ITALIA     158.088      2,1 2.756.252     37,4  3.975.933    53,9       10.675      0,1     471.655      6,4         2.162      0,0 7.374.765  100,0  2.516.444     83,3     463.511    15,3         8.594      0,3        101      0,0 REGIONE ACUTI IN REGIME ORDINARIO ACUTI IN DAY HOSPITA Ti po ri covero non  compi l a to Ri coveri  

progra mma ti Ri coveri  urgenti Ri coveri  TSO

Ri coveri   progra mma ti  con 

pre‐os p.

Ti po ri covero  erra to

Tota l e ri coveri  i n  Regi me ordi na ri o

Ti po ri covero non  compi l a to

Ri coveri  

(13)

Appendix: Stakeholder oriented analysis of KPIs for

the Apulia Mills case study (Casillo)

On the left a CSF analysis made by different student teams

On the right an HIGO analysis of the main stakeholders: Customer (= e.g. Barilla) Worker (= mill

foreman) and management (= Vice President Operations) with a different analysis of each student team

References

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