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Library Engineering Library Engineering Students Solving Library Problems: Students Solving Library Problems: Space Optimization and Inventory Control Space Optimization and Inventory Control Students of Professors Mark Turnquist and Daniel Loucks working with Stacks Manager Catherine Vellake (above) have focused on solving practical library problems for Cornell’s Engineering Library in their recent class projects over Fall 1999, Fall 2000, and Spring 2002 in these two courses: CEE 593 (Engineering Management Methods I: Data, Information, and Modeling) CEE 594 (Engineering Management Methods II: Managing Uncertain Systems) These courses focus on modeling and managing systems using these tools: queuing quality control forecasting simulation resource allocation This exhibit highlights a few of the proposals recommended by the students in the class to address the problems described below. ACCEL R ead in g R oom C ircu lation D esk Space Optimization and Space Optimization and Forecasting Forecasting Space is a big issues for libraries. Even with the increase of digital collections, the print collection continues to grow. When the shelves are full, what do we do? Where should we allow the most growth room? Here are some suggestions: 1) 1) Move lower-use books to the Library Annex. Move lower-use books to the Library Annex. The Engineering Library has moved over 70,000 books to the Annex since 1997. A forklift operates there to ensure rapid 24-hour retrieval of any book or journal volume. Articles can be delivered electronically to the desktop. Books are arranged by size, not by call number, for space efficiency. 2) 2) Forecast popular and high-growth areas. Forecast popular and high-growth areas. Use a formula that gives usage points for each call number. Checked-out books are rated the highest, then browsed books, then shelves with the most books out of order. 3) Buffer Room 3) Buffer Room Move the most heavily-used books to Stack 1, which is on the first floor and convenient to all. This is similar to the bookstore model, which places the most popular titles on the most prominent location in the store. This also makes it easier and quicker for those shelving books. Stack 1 could potentially hold 14,940 books. However, this method would make it more difficult to find books overall since the entire stacks would not be in strict call number order. 4) 4) Carrel Clustering Carrel Clustering Carrels suffer from poor lighting, not enough space, and are inconvenient to find. By clustering them on Stack 1 or in the Basement (if we removed the microfiche), carrels could provide more space for laptops and small group study. Space Optimization and Forecasting Space Optimization and Forecasting This library grows by 675 linear feet of shelf space This library grows by 675 linear feet of shelf space each year each year Inventory Control Inventory Control Shelf reading to find missing books Shelf reading to find missing books Resource Location Resource Location Finding the best arrangement of books and journals Finding the best arrangement of books and journals to suit the to suit the needs of both public and staff needs of both public and staff Inventory Control – Finding Misshelved Inventory Control – Finding Misshelved Books Books Students shelf read (scan shelves for out-of-order books) to keep the books in correct call number order and to locate misshelved books. Using the traditional method, each book’s call number is compared to that of the books adjacent to it. Every book is checked, without regard to usage level. What’s the Shelf-Reading Problem? What’s the Shelf-Reading Problem? It’s tedious work and extremely time-consuming. There are too many shelves (over 7000)! Traditional Method of Shelf-Reading: Average time: 2.24 minutes per 3-foot shelf Average number of shelving errors found : 1.18 per shelf Time needed to shelfread library by this method : 274 hours (for 7,340 shelves) Our Goal: Design a procedure which finds 90% of displaced books in half the read time. What’s Project QuickRead? What’s Project QuickRead? • Project QuickRead was a joint effort between the Engineering Library staff and the students of CEE 593 in the Fall 2000 semester to design a method of library stacks maintenance which optimized available time and resources to find and correct the greatest number of shelving errors in the least amount of time. • As implemented, library student employees spend 15 minutes per shift checking 25 to 35 shelves of books for 8 weeks of each term. Once completed, 85% of the entire library has been checked. • QuickRead targets high-use call number ranges in the collection instead of trying to cover all 7,340 shelves. QD 139 .P6 .S34 1991 Students scan only the first half of the call number, instead of the entire 5 to 6 lines. This makes the process faster and less tedious. Tests show that Quickread find 83% of the shelving errors, and catches all misshelved books whose correct location is several aisles away – the most troublesome errors for patrons and staff. Resource Location – or Resource Location – or What’s the Best Way to What’s the Best Way to Arrange the Collection? Arrange the Collection? Stacks are in A-Z order (Library of Congress Classification System is used). To make the books and journals easier to find, breaks are made at the end of each floor in a “clean” spot, such as A-Q, not A-QA 76.6. However, this concentrates the most heavily used books in the basement and costs 217 shelves overall. Below is a diagram of what we have. Is this the best way? Com parison by S tack: T otalS helves and Used Shelves 498 1585 1057 4200 405 1284 858 3530 0 500 1000 1500 2000 2500 3000 3500 4000 4500 Stack 1 Stack 2 Stack 3 Basem ent Num berofShelves TotalShelves Shelves in Use Current available shelf space in our 4 shelving areas and the extent to which each is occupied. The level of use (checkouts plus browses) by shelving area in the Engineering Library. Q UICK READ RESULTS,2002 0 50 100 150 200 250 300 350 A --Q Q A --Q B Q C --Q D Q H --T TA 1 --TA 499 TA 500 --TC TD --TG TH --TJ TK TL --TN TP --V M C allN um berofQ uick R ead B lock D isplaced B ooks Found A dditional in Nov-02 M ar-02 Other suggestions: Other suggestions: Improve lighting, purchase color copiers, simplify laptop checkouts (and increase the number), include browsing trucks in the stacks to improve efficiency in reshelving. The Engineering Library has already implemented the following: • Installed browsing shelves throughout the stacks so books can be consulted easily, and left for reshelving by staff. • Increased the number of circulating laptops and simplified the loan process. • Created a pathway on the right (east) wall in Stacks 2 and 3 so it is easier to walk around the shelves as one C om parison: S ubjectA rea and D isplacem ents (M isshelved B ooks) 0 5 10 15 20 25 30 Electrical Engr (General) Theses Production of Electric Energy Electric Power Telecommunication Telecommunication Telecommunication Electronics Components, Control Systems Antennas, Semiconductors, Microwaves, Power Electronics Computer Engineering Nuclear Engineering SubjectArea ofEach 35-ShelfRead UnitofTK in Call Num berO rder Num berof DisplacedBooks Displacements March '02 Displacements May '02 Displacements July '02 Questions and comments are welcome to [email protected] Designed by Jill Powell and Catherine Vellake 0 200 400 600 Value in T housands C om parison by S tack: U sage and N um berof Volum es Usage, 2000 -- 2001 52.0 262.0 59.3 433.0 # Volumes Surveyed 16.3 35.2 29.0 98.0 Stack 1 Stack 2 Stack 3 Basement “Though QuickRead does not find every misshelved book, the real value of the method is its ability to cover far more shelves than conventional reading methods.” - Catherine Vellake, Stacks Supervisor The view from above: looking over the top of our basement shelving area which holds 57% of the collection.

Library Engineering Students Solving Library Problems: Space Optimization and Inventory Control Students of Professors Mark Turnquist and Daniel Loucks

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Page 1: Library Engineering Students Solving Library Problems: Space Optimization and Inventory Control Students of Professors Mark Turnquist and Daniel Loucks

Library EngineeringLibrary EngineeringStudents Solving Library Problems:Students Solving Library Problems:

Space Optimization and Inventory ControlSpace Optimization and Inventory Control

Students of Professors Mark Turnquist and Daniel Loucks working with Stacks Manager Catherine Vellake (above) have focused on solving practical library problems for Cornell’s Engineering Library in their recent class projects over Fall 1999, Fall 2000, and Spring 2002 in these two courses:

CEE 593 (Engineering Management Methods I: Data, Information, and Modeling)

CEE 594 (Engineering Management Methods II: Managing Uncertain Systems)

These courses focus on modeling and managing systems using these tools:

queuing quality control forecasting

simulation resource allocation

This exhibit highlights a few of the proposals recommended by the students in the class to address the problems described below.

ACCEL

R e a d in g R o o m

C ircu la tio n D esk

Space Optimization and Space Optimization and ForecastingForecastingSpace is a big issues for libraries. Even with the increase of digital collections, the print collection continues to grow. When the shelves are full, what do we do? Where should we allow the most growth room? Here are some suggestions:

1)1) Move lower-use books to the Library Annex.Move lower-use books to the Library Annex.

The Engineering Library has moved over 70,000 books to the Annex since 1997. A forklift operates there to ensure rapid 24-hour retrieval of any book or journal volume. Articles can be delivered electronically to the desktop. Books are arranged by size, not by call number, for space efficiency.

2)2) Forecast popular and high-growth areas.Forecast popular and high-growth areas.

Use a formula that gives usage points for each call number. Checked-out books are rated the highest, then browsed books, then shelves with the most books out of order.

3) Buffer Room3) Buffer Room

Move the most heavily-used books to Stack 1, which is on the first floor and convenient to all. This is similar to the bookstore model, which places the most popular titles on the most prominent location in the store. This also makes it easier and quicker for those shelving books. Stack 1 could potentially hold 14,940 books. However, this method would make it more difficult to find books overall since the entire stacks would not be in strict call number order.

4) 4) Carrel ClusteringCarrel Clustering

Carrels suffer from poor lighting, not enough space, and are inconvenient to find. By clustering them on Stack 1 or in the Basement (if we removed the microfiche), carrels could provide more space for laptops and small group study.

Space Optimization and ForecastingSpace Optimization and Forecasting

This library grows by 675 linear feet of shelf space each yearThis library grows by 675 linear feet of shelf space each year

Inventory ControlInventory Control

Shelf reading to find missing booksShelf reading to find missing books

Resource LocationResource Location

Finding the best arrangement of books and journals to suit the Finding the best arrangement of books and journals to suit the needs of both public and staffneeds of both public and staff

Inventory Control – Finding Misshelved Inventory Control – Finding Misshelved BooksBooksStudents shelf read (scan shelves for out-of-order books) to keep the books in correct call number order and to locate misshelved books. Using the traditional method, each book’s call number is compared to that of the books adjacent to it. Every book is checked, without regard to usage level.

What’s the Shelf-Reading Problem?What’s the Shelf-Reading Problem?It’s tedious work and extremely time-consuming. There are too many shelves (over 7000)! Traditional Method of Shelf-Reading:

Average time: 2.24 minutes per 3-foot shelf

Average number of shelving errors found: 1.18 per shelf

Time needed to shelfread library by this method: 274 hours (for 7,340 shelves)

Our Goal: Design a procedure which finds 90% of displaced books in half the

read time.

What’s Project QuickRead?What’s Project QuickRead?• Project QuickRead was a joint effort between the Engineering Library staff and the students of CEE 593 in the Fall 2000 semester to design a method of library stacks maintenance which optimized available time and resources to find and correct the greatest number of shelving errors in the least amount of time.

• As implemented, library student employees spend 15 minutes per shift checking 25 to 35 shelves of books for 8 weeks of each term. Once completed, 85% of the entire library has been checked.

• QuickRead targets high-use call number ranges in the collection instead of trying to cover all 7,340 shelves.

QD

139

.P6

.S34

1991

Students scan only the first half of the call number, instead of the entire 5 to 6 lines.This makes the process faster and less tedious.

Tests show that Quickread find 83% of the shelving errors, and catches all misshelved books whose correct location is several aisles away – the most troublesome errors for patrons and staff.

Resource Location – or Resource Location – or

What’s the Best Way to What’s the Best Way to Arrange the Collection?Arrange the Collection?

Stacks are in A-Z order (Library of Congress Classification System is used).

To make the books and journals easier to find, breaks are made at the end of each floor in a “clean” spot, such as A-Q, not A-QA 76.6.

However, this concentrates the most heavily used books in the basement and costs 217 shelves overall. Below is a diagram of what we have. Is this the best way?

Comparison by Stack: Total Shelves and Used Shelves

498

15851057

4200

405

1284858

3530

0500

100015002000

250030003500

40004500

Stack 1 Stack 2 Stack 3 Basement

Nu

mb

er

of

Sh

elv

es

Total Shelves

Shelves in Use

Current available shelf space in our 4 shelving areas and the extent to which each is occupied. The level of use (checkouts plus browses) by

shelving area in the Engineering Library.

QUICK READ RESULTS, 2002

050

100150200250300350

A -

- Q

QA

--

QB

QC

--

QD

QH

--

T

TA

1 --

TA

499

TA

500

-- T

C

TD

--

TG

TH

--

TJ

TK

TL

--

TN

TP

--

VM

Call Number of Quick Read Block

Dis

pla

ced

Bo

oks

Fo

un

d

Additional in Nov-02

Mar-02

Other suggestions:Other suggestions:

Improve lighting, purchase color copiers, simplify laptop checkouts (and increase the number), include browsing trucks in the stacks to improve efficiency in reshelving.

The Engineering Library has already implemented the following:

• Installed browsing shelves throughout the stacks so books can be consulted easily, and left for reshelving by staff.

• Increased the number of circulating laptops and simplified the loan process.

• Created a pathway on the right (east) wall in Stacks 2 and 3 so it is easier to walk around the shelves as one follows the call numbers, searching for a book. The problem remains on the Basement’s right side.

Comparison: Subject Area and Displacements (Misshelved Books)

0

5

10

15

20

25

30

Electri

cal En

gr(G

eneral) The

ses

Produc

tion of

Electri

c Ener

gy

Electri

c Pow

er

Teleco

mmuni

cation

Teleco

mmuni

cation

Teleco

mmuni

cation

Electro

nics

Comp

onents

,Co

ntrol S

ystem

s

Anten

nas,

Semic

onduct

ors,

Micro

wave

s,Po

wer E

lectron

ics

Comp

uter

Engin

eering

Nucle

arEn

gineer

ing

Subject Area of Each 35-Shelf Read Unit of TK in Call Number Order

Num

ber o

f Dis

plac

ed B

ooks

Displacements March '02

Displacements May '02

Displacements July '02

Comparison: Subject Area and Displacements (Misshelved Books)

0

5

10

15

20

25

30

Electri

cal En

gr(G

eneral) The

ses

Produc

tion of

Electri

c Ener

gy

Electri

c Pow

er

Teleco

mmuni

cation

Teleco

mmuni

cation

Teleco

mmuni

cation

Electro

nics

Comp

onents

,Co

ntrol S

ystem

s

Anten

nas,

Semic

onduct

ors,

Micro

wave

s,Po

wer E

lectron

ics

Comp

uter

Engin

eering

Nucle

arEn

gineer

ing

Subject Area of Each 35-Shelf Read Unit of TK in Call Number Order

Num

ber o

f Dis

plac

ed B

ooks

Displacements March '02

Displacements May '02

Displacements July '02

Questions and comments are welcome to [email protected]

Designed by Jill Powell and Catherine Vellake

0

200

400

600

Value in Thousands

Comparison by Stack: Usage and Number of Volumes

Usage, 2000 -- 2001 52.0 262.0 59.3 433.0

# Volumes Surveyed 16.3 35.2 29.0 98.0

Stack 1 Stack 2 Stack 3 Basement

“Though QuickRead does not find every misshelved book, the real value of the method is its ability to cover far more shelves than conventional reading methods.”

- Catherine Vellake, Stacks Supervisor

The view from above: looking over the top of our basement shelving area which holds 57% of the collection.