designing collection experiences: objectives

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Workshop presented November 12, 2013 in Waterloo, Iowa. Setting objectives for collection age, size, and annual additions. How these factors are related, so that changing any one of them changes both the others.

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Designing Collection Experiences:6. Objectives

Roy Kenagyrjkenagy@netins.net

www.whatwouldranganathando.orgNovember 12, 2013

Waterloo Public Library

All you need to know about setting collection objectives

π‘¨π’ˆπ’†=π‘Ίπ’Šπ’›π’†π‘¨π’…π’…π’”

π‘¨π’ˆπ’†=π‘Ίπ’Šπ’›π’†π‘¨π’…π’…π’”

π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’π·π‘–π‘ π‘π‘Žπ‘Ÿπ‘‘ 𝐴𝑔𝑒=π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘‘π‘’π‘šπ‘ π‘–π‘›π‘Žπ‘π‘œπ‘™π‘™π‘’π‘π‘‘π‘–π‘œπ‘›

π΄π‘›π‘›π‘’π‘Žπ‘™ π‘–π‘‘π‘’π‘šπ‘ π‘Žπ‘‘π‘‘π‘’π‘‘

In a stable collection, which means:π΄π‘›π‘›π‘’π‘Žπ‘™ π‘–π‘‘π‘’π‘šπ‘ π‘Žπ‘‘π‘‘π‘’π‘‘=π΄π‘›π‘›π‘’π‘Žπ‘™ π‘–π‘‘π‘’π‘šπ‘ π‘‘π‘’π‘™π‘’π‘‘π‘’π‘‘

Policy Assumptions

Fun with actuarial science

UnitTimeper Entrants

Size Population Expectancy Life Average

Expectation of Lifefor a stable population

UnitTimeper Entrants Expectancy Life Average Size Population

Expectancy Life Average

Size Population Unit Timeper Entrants

UnitTimeper Entrants

Size Population Expectancy Life Average

7001070 UnitTimeper Entrants Expectancy Life Average Size Population

1070

700

Expectancy Life Average

Size Population Unit Timeper Entrants

7010

700

UnitTimeper Entrants

Size Population Expectancy Life Average

Weeding Age, Collection Size, and Items Added

Added Items Annual Age WeedingAverage Size Collection

Age WeedingAverage

Size Collection Added Items Annual

Added Items Annual

Size Collection Age WeedingAverage

π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’π‘Šπ‘’π‘’π‘‘π‘–π‘›π‘” 𝐴𝑔𝑒=π‘€π‘’π‘‘π‘–π‘Žπ‘› 𝐴𝑔𝑒×2

7007010Added Items Annual Age WeedingAverage Size Collection

7010

700

Age WeedingAverage

Size Collection Added Items Annual

1070

700

Added Items Annual

Size Collection Age WeedingAverage

Other Expectation of Life Applications

Dayper Loans Average

FileRequest in Items Average Time TurnaroundLoan ry Interlibra Average

nCirculatioDaily Average

Shelved Be To Items Average Time Turnaround Shelving Average

nCirculatioDaily Average

Out Items Average PeriodLoan in Days Average

Policy Assumptions for Rhizome Objectives

β€’ Median ageβ€’ Collection sizeβ€’ Steady-state snapshotsβ€’ Annual iterationsβ€’ Supply-Demand Equality

Multiple Objectives – Exercise (1)

Multiple Objectives – Exercise (2)

Multiple Objectives (1) - Answers

Multiple Objectives (2) – Answers

Fine-tuning Mjobjectives Mj

Smoothing the Mjdistribution Mj

Removing inactive Mjitems Mj

Linear programming Mj

Benchmarking Mjoutput limits Mj

Removing Mjinactive Mjitems Mj

Determine exact Mjweeding cutoff dates Mj

Calculate the active/ Mjinactive collections for Mj

each rhizome Mj

Use active collection size Mjin calculating objectives Mj

β€œUnto every one that hath shall be given, and he shall have abundance; but from him that hath not shall be taken away even that which he hath.”

β€” Matthew 25:29

Smoothing Mjthe Mj

distribution Mj

Adjust the relative distribution of Mjcirculation by using the square root Mjof each rhizome's circulation rather Mj

than the exact totals Mj

Benchmarking Mjoutput limits Mj

Establish upper and Mjlower limits for changes Mj

in each rhizome Mj

Volume of annual Mjpublication Mj

Annual additions by Mjbenchmark libraries Mj

Annual volume of Mjreviewed titles Mj

Linear Mjprogramming Mj

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