UW-Whitewater Sustainability - University of Wisconsin ... slides.pdfSummary of Metrics Flow...

761-SUPPLY CHAIN SYSTEMS

Professor Sameer Prasad

Tanya Franklin

Sudiyanti Sudiyanti

Kraivit Tungsanga

Pavel Crha

Emmanuel Akili

Tanya Clausius

Gary Otte

UW-Whitewater Sustainability

PRESENTATION FORMAT:

1. Introduction

2. Sustainability Metrics

3. Materials Forecasting

4. Material Requirements Planning4. Material Requirements Planning

5. Network Mapping

6. Supplier Selection

7. Materials Disposition

8. Sustainability Costing

9. Conclusion

Introduction

Topics

Definitions

Comply with Climate

Commitment

Project Definition

Introduction

Commitment

UW-Whitewater as a Supply

Chain

Narrowing the Project

Scope

Definition

Introduction

What is Sustainability?

The ability to meet current needs without hindering the ability to meet the

needs of future generations in terms of economic, environmental and social

challenges. ISM

Why should UW-Whitewater change?

Definitions

Comply with Wisconsin Laws

WI Act 141 State Agency Renewable Energy Targets WI Act 141 State Agency Renewable Energy Targets

10% by 2008

20% by 2012

Executive Order 14S State Agency Energy Efficiency

10% by 2008

20% by 2010

LEED Silver for all new buildings

Climate Change Commitment - Preserving Resources, Preventing Waste

Introduction

American College and University Presidents Climate Commitment (ACUPCC)

Association for the Advancement of Sustainability in Higher Education (AASHE)

Clean Air Cool Planet Climate Action Toolkit (CACP)

United States Environmental Protection Agency (EPA) supports CACP along with other agencies and their carbon calculation tools.

How to Comply with Climate Commitment

CACP Campus Calculator outlines arenas UWW

needs to track in order to calculate its Carbon Campus Carbon Calculator Sample of an Input Sheet

Section. (CACP)needs to track in order to calculate its Carbon Footprint:

Energy Arena (Heat & Electric)Water Arena (Conserved Use & Storm Water

Mngt.)

Buildings & Grounds Arena(LEED Certification Innovation Designed)

Transportation Arena(Fleet, Commuters, Vendors)

Consumed Materials Arena (Purchase, Use, AndWaste Mngt.)

Section. (CACP)

Solid

Waste

Incinerated

Waste (not

used for

on-campus

power)

Landfilled Waste

Mass Burn

Refuse

Derived Fuel

(RDF)

No CH4 RecoveryCH4 Recovery and

Flaring

CH4 Recovery and

Electric Generation

Short Tons Short Tons Short Tons Short Tons Short Tons

Introduction

Consider UW-Whitewater as a Supply Chain System!

Managing the supply chain well with a broader perspective of the UWW campus as an

organization will facilitate the capture of metrics, identify inefficient areas to improve, and

implement successful initiatives.

A supply chain consists of all parties involved, directly or indirectly, in fulfilling a customer

request. The supply chain includes not only the manufacturer and suppliers, but also

UWW as a Supply Chain

request. The supply chain includes not only the manufacturer and suppliers, but also

transporters, warehouses, retailers, and even customers themselves. Within each

organization, the supply chain includes all functions involved in receiving and filling a

customer request. (Chopra & Meindl pg.3)

In other words: UWW must consider their total operations for sustainability: Suppliers,

Facilities, Staff, Transportation, Inventories, Distribution and Student Requirements.

Introduction

View UWW as a supply chain in basic terms.

(Expanded with Sustainability Metrics later in the presentation)

UWW as a Supply Chain

Inputs

Professors

Students

Facilities

Services

Materials

Process*

Teaching

Consume Energy & Materials

Outputs

High Quality Education

Sustainability Philosophy

UWW Competitive Strategy Shift to:

High Quality Education provided with a Sustainability Philosophy on a Net Zero (Carbon Neutral) Campus.Consider UWW as a consumer of products/services and a producer of professionals with an experience

within a low CO2 sustained environment.

* Apply principles of Sustainability & Social Responsibility, ERP (Enterprise Resource Planning), Supply

Chain Management, and Demand Forecasting Statistics.

Introduction

Narrowing the Project Scope

Waste &

Transportation/Fleet Arena

Waste & Materials Arena

Power/Energy Arena

Waste &

Materials

Focus

Water Use Arena

Building & Grounds Arena

* To be applicable to future use in other arenas, we will keep in

mind flexibility in our framework, models and tools used in the

Waste & Materials Arena.

Introduction

Study and Document the Flow of Materials on campus; Integrating the

Environmental Sustainability Metrics.

The project required research and application of concepts in:

Supply Chain Systems

Current Green Metrics and Trends,

Network Mapping,

Demand Forecasting,

Materials Requirements Planning (MRP),

Project Definition

Materials Requirements Planning (MRP),

Supplier Selection Model Development, and other

Materials Management with Site Maps.

The project goal is to better quantify sustainability measures in the materials

arena for UW-Whitewater in a way that can then be applied to the other arenas

that effect UW-Ws Total CO2 Footprint. Informed Strategic decisions can then

be made regarding Footprint minimization efforts in all arenas.


1. Introduction



4. Material Requirements Planning4. Material Requirements Planning

5. Network Mapping




9. Conclusion

Sustainability Metrics

Topics

Sustainability

Introduction & Definitions

CACP & ISM Metrics

Initiatives to Consider


Metrics Flow Summary

Supply Chain Decision-Making

Framework

SC Key Drivers and



Metrics are basically measures of performance used in the strategic decision making process.

Metrics information is collected, manipulated, and presented in a diverse number of ways according to an organizations industry-specific

needs.


needs.

Look at what the Campus Carbon Calculator (CACP) needs and what ISMs sustainability metrics and criteria suggest be tracked.


The arenas defined by CACPS

campus calculator to track and

calculate the UWW carbon

footprint are:

Energy Arena (Heat & Electric)

Water Arena (Conserved Use & Storm

Water Mngt.)

Buildings & Grounds Arena(LEED

CACP Clean Air Cool Planet & ISM Institute for Supply Management Metrics

Some Environment category metrics and decision criteria follow:

Disposal and waste management policies and practices

Water conservation and consumption

Green House Gas (GHG) footprint (Aggregate CO2 number)

Paper and paper product consumption

Packaging reduction initiatives

Energy consumption (power, gas, electric)

Buildings and construction (LEED Certification, Energy Star, etc.)

Transportation and logistics management including routes and

consolidation, fleet management Buildings & Grounds Arena(LEED

Certification Innovation Designed)

Transportation Arena(Fleet,

Commuters, Vendors)

Consumed Materials Arena (Purchase,

Use, And Waste Mngt.)(CACP)

consolidation, fleet management

Travel policies and statistics (miles driven, flown, etc.)

Education and communication initiatives

Some Sustainability category metrics and decision criteria follow:

Use sustainability criteria in procurement decisions

Processes in place to embed sustainability and social

responsibility into:

supplier qualification,

product design,

redesign, and

statements of work

Maintain appropriate records to feed into corporate sustainability

and social responsibility reporting (ISM)


Metrics Flow Summary

Suppliers of Product Purchases

Paper

Desks

Computers

Etc.

Campus Consumers

Staff

Students

Guests

Etc.

Waste Management

Reuse

Recycle (Direct & Indirect)

Refuse

Etc.

Summary of Metrics FlowUW-Whitewater Materials Supply Chain

New Metrics Captured and AppliedInputs Process Outputs

Suppliers of Product Purchases

New Metrics Captured

Campus Consumers

Demand/Waste? Forecasts Prepared

Suppliers Evaluated

Supplier and Delivery Networks Optimized

MRP-Material Resources Planned

Inventories Maintained

Waste Management

Actual Waste Materials Measured for reporting

Official Reporting of Footprint

Reduction Initiatives

UW-Whitewater Materials Sustainability Plan

Inputs

Product Invoice Data

Prior CO2 Footprint per Product if available

Supplier & Prod. Endorsement Level

Process

Track Distribution and Use of Product (INV/Rt.)

Additional Delivery Fuel (Gallons used)

Outputs

Track, Measure & Record : Recycled (Durable & Non) & Refuse Types

Totals and Ratios of Recycled & Refuse Waste (Tons Per Year) by Types


Supply Chain

Decision-Making

Framework.

(Chopra &

Supply Chain Decision-Making Framework

Competitive Strategy

Supply Chain Strategy

(Chopra &

Meindel) Supply Chain Structure - Method of weighing trade-offs between efficiency and responsiveness

Rationalize and Optimize Drivers via Metrics


Supply Chain Key Drivers and Sustainability Metrics

Drivers Cross- Functional Information metrics Sourcing metrics Pricing metrics

Drivers Push-Pull In-house or Outsource Pricing and Econ. of scale

Coordination and

Information Sharing

Supplier Selection Everyday low pricing vs. High-

Low pricing

Forecasting and Aggregate

Planning

Procurement Fixed price vs. Menu pricing

Enabling Tech. Capture Sstnablty. Metrics Sustainability.Financing

Metrics: Forecast horizon Metrics: Days payable outstanding Metrics: Profit Margin

Update frequency Avg. Purchase price Days sales outstanding

Forecast error Range of purchase price Incremental fixed cost

per order

Seasonal factors Avg. purchase quantity Incrmntl.var. cost per

unit

Variance from plan Fraction on-time

deliveries

Avg. sale price

Demand to order

variability Ratio

Supply Quality Avg. order size

Sstnablty. Web Page Supply Lead Time Range of sale price

Sstnablty. Std.Operating

Procedures

Product CO2 Periodic sales Range

Packaging,Procedures

Communicate Sstnablty.

Packaging,

Track Disposition Routes Carbon Offsets

Logistic Facilities metrics Inventory metrics Transportation metrics

Drivers Role Cycle (MRP) Inventory Design of Network (Materials)

Location Safety Inventory Choice of Mode

Capacity (Materials) Seasonal Inventory

Level of Product

Availability

Metrics: Capacity Metrics: Average Inventory Metrics: Avg. Cost In/Outbound

Utilization

Flow/Cycle times Products Length of time

in inventory

In/Outbound shipment

sizeVolume

Product variety Replenishment batch size Avg. cost per shpmnt.

In/ Outbound

Process/ Setup/ Idle Times Avg. Safety inventory Fraction transported by

mode

Service Level Seasonal inventory Track Additional

Transp.CO2 from PrchssWaste Management

Water Conservation Fill rate Conduct a Regular

Commuter SurveyLeed Buildings Products time out of

stock

Land Use Capture Other Faculty

Travel CO2 - Seminars,

etc.

Noise

Energy Conservation


After the CO2 footprint is calculated and reported, the following initiatives should

be considered as the sustainability next steps.

Identify sustainability values (SV) that are important to UWW and then

communicate those values to suppliers, employees, and students

Put SVs in the Supplier Selection Criteria and provide the means to evaluate

prior CO2 and other SVs of a product being purchased.

Record material disposal routes, especially for durables (reuse, recycle,

return, or refuse)

Initiatives to Consider

return, or refuse)

Capture additional transportation footprint for deliveries in gallons and types

of fuel used.

Identify and select carbon offset options

Document and publicize sustainability progress, goals, initiatives,

and procedures on an accessible web page.


1. Introduction



4. Material Requirements Planning 4. Material Requirements Planning

5. Network Mapping




9. Conclusion

Materials Resource Planning

Topics

Materials


Data Aggregation Level and

AssumptionsRecommendations

Materials Forecasting

Sampling and Data Collecting

Illustration of Questionnaire

Interview and Secondary Data

Bill of Material

Conclusions


Forecasting is the prediction of values of a variable based on known past valuesof that variable or other related variables, expert judgments, which in turn based on

historical data and experience (Makridakis et. Al, 1983)

SCM decisions are based on forecast. By forecasting their demand, it can help theUWW to predict: what, when, how much the demand for items needed and

prediction of the output.


The use of forecasting in this project is aimed to:1. Identify and predict the unit consumption (input) of UW-Whitewater

students and enrollments in order to estimate the carbon footprint.

2. Another purpose is to get better understanding of the usefulness of

forecasting methods in supply chain management and business knowledge.


Data aggregation level: semester basis.

5 categories population:1. Student:

a) Local student

b) Commuter student.

2. Faculty members.

3. Staffs.

Data Aggregation Level and Assumptions

3. Staffs.

4. Department employees.

5. Administrative Office.

Assumptions:1. We consider only products those are consumed in the campus.

2. Each individual has the same pattern of consumption within her/his

category.

3. 1 semester = 4 months or 4 x 4 weeks or 4 x 4 x 5 workdays.


Data collecting tools: Questionnaire Interview Secondary data (Department and Administrative Office)

Sample: 38 students (12 commuter and 26 local students) 3 staffs

Sampling and Data Collecting

3 staffs 3 faculty members


Illustration of Questionnaire

Items Unit Mon Tue Wed Thu Fri Sat SunTotal/We

ek

Transportation Mile 2 2 2 6

Paper Sheet 10 5 7 22

Magazine Each 1 1

Newspaper Each 1 1

Food Define 1 1 1 3

Drink Define 1 1 1 3

Commuter Students Consumption/Week

Paper 22 sheets/week X 4 weeks X 4 months = 352 sheets/semester

Foods 1 canned soup/week X 4 weeks X 4 months = 16 cans/semester

Foods 1 plastic bag of potato chips/week X 4 weeks X 4 months = 16 plastics bag/semester

Foods 1 ramen bag/week X 4 weeks X 4 months = 16 ramen bags/semester

Sample 30 Commuter Students

Paper Consumption Sheets/Semester

Student 1 352

Student 2 133

Student 3 256

Student 30 100

---------------------------------------------- +

Total 12,300 Average = 12,300 / 30 = 410 sheets/semester/student


Interview and Secondary Data

Interview Method

1. We can use the same questionnaire to have a list of questions regarding individual

consumption;

2. Use the same calculation method to obtain the total number of consumption/semester

Secondary Data

1. It is easier than the interview and questionnaire, as we have monthly data purchasing;

2. Therefore, we just need to multiply the data by 4 months to get semester-based data.2. Therefore, we just need to multiply the data by 4 months to get semester-based data.


Bill of Material

A, B, C are the input consumption

They can be, for example:

A = Paper

B = Ramen Bag

C = Can


This report deserves comments due to its limitations:

1. The numbers of respondents in our research should be greater than 30 respondents for each

category. However, the assumptions that we mentioned in the previous section are strong

enough to prop up our findings.

2. We also realize that the data collected are not properly consistent among the categories. For

instance, food consumptions data were not gathered from all categories of population.

3. The major difficulty we faced during data collecting was the inconsistency of respondents in

answering the questionnaires.

4. As the findings are done in Autumn semester, the pattern of consumption might be different

Conclusions

4. As the findings are done in Autumn semester, the pattern of consumption might be different

for other semester


Recommendations

1. Pilot project dg open-ended questions regarding what items are consumed in campus?

And in which building?

2. A more sophisticate and comprehensive research should be done afterward.

3. Larger number of respondents is recommended.

4. UWW MIS system by ID log in may help to track how many papers, foods, books

purchasing are used and consumed during one semester per student.

5. Encourage the consistency and comprehensive answers from respondents.


1. Introduction




5. Network Mapping




9. Conclusion


Topics

Material


Material Requirements

Planning

Assumptions

MRP Model

Conclusions


What is MRP?


Material Requirements Planning (MRP): Computer-based informationsystem that translates master schedule requirements for end items into

time-phased requirements for subassemblies, components, and raw

materials (Waldner and Jean-Baptiste, 1992).

MRP works backward from the due date using lead times and otherinformation to determine when and how much to order.

MRP begins with a schedule for finished goods that is converted into a MRP begins with a schedule for finished goods that is converted into aschedule of requirements for subassemblies, component parts and raw

materials needed to produce the finished items in the specified time

frame.

The main purpose of using MRP system is to see the big picture of whatkind of waste each student is producing and how much energy and CO2each student is producing in UWW.


Input & Model Assumptions

Input for the MRP:

1. Master Production Schedule (MPS)

2. Bill of Material (BOM)

3. Inventory Record File

The assumption for this model:

1. Every student has the same amount consumption

2. All the unit weight is by estimation2. All the unit weight is by estimation

3. All transportation is medium size car


MRP Model

To indentify the amount waste produce from the university we will use aspreadsheet to calculate. This spreadsheet contains data from bill of

material (BOM) forecast (38 observations) as a base amount. The

objective for this spreadsheet is to calculate the amount energy use and

CO2 produce from each student per semester.

There are several tabs in this spreadsheet which indicate the location,weight per unit, and Energy and carbon dioxide emission measurement for

each unit type as shown in figure 1.

Figure 1 Tab

each unit type as shown in figure 1.

First, we need to know the weight of each unit. In this model we base ourassumption on estimate as shown in figure 2 (in weight per unit tab).


MRP Model

Figure 2 Weight per Unit

Next, we go to the location we want to see (in this case is Carlson). In this

spreadsheet tab it can divide by its location, sources, amount of people. In figure 3

shows that the location is Carlson and the source is on-campus student with 3,000

students and in figure 4 shows that the source is faculty with 100 staff. After that

we can classified the bill of materials into product type, sub material type, and

items list.


MRP Model

Figure 3 Product type of On-campus Student

For Product type there are 3 main types which are Transportation (green frame infigure 3), Material (blue frame in figure 3), and Electricity (yellow frame in figure 4).

Figure 4 Product type of Faculty


MRP Model

Formula for Energy (MJ) per student

For Items (red frame in figure 5)

Energy = Amount x Weight per Unit x Energy Produce in each Unit

= (Unit/Semester) x (lb/Unit) x (MJ/lb)

= MJ/Semester

Next, the weight per unit data from figure 2 will show in column I as shown in

figure 5 and figure 6. The model will now calculate the energy by using this formula.

Figure 5 Energy use from On-campus StudentFigure 5 Energy use from On-campus Student


MRP Model

For Electricity (blue frame in figure 6)

Energy = Amount x Energy Produce in each Unit

= (Hour/Semester) x (MJ/Hour)

= MJ/Semester

Figure 6 Energy use from Faculty

In figure 6 Note that energy is not produce in transportation. Energy isproduce only when the item is disposal and when electronic is used.


MRP Model

Figure 7 Energy & CO2 Emission Measurement

The multipliers of energy and CO2 produce (figure 7) in each unit type are

calculated from LCA calculator (in energy & CO2 emission measurement tab).


MRP Model

Formula for CO2 Emission (lb) per student

For Items (orange frame in figure 8)

CO2 Emission = Amount x Weight per Unit x CO2 Produce in each Unit

= (Unit/Semester) x (lb/Unit) x (CO2/lb)

= CO2/Semester

For Transportation (green frame in figure 8)

CO2 Emission = Amount x CO2 Produce in each Unit

= (Mile/Semester) x (CO /Mile)

Next, the model will calculate the CO2 for transportation, items, and electricity by

using this formula.

2 2

= (Mile/Semester) x (CO2/Mile)

= CO2/Semester

Figure 8 CO2 Emission from On-campus Student


MRP Model

For Electricity (yellow frame in figure 9)

CO2 Emission = Amount x CO2 Produce in each Unit

= (Hour/Semester) x (CO2/Hour)

= CO2/Semester

Figure 9 CO2 Emission from Faculty

Finally we will get the total energy use and CO2 produce from each item per

student per semester. We can see which item produces most energy and CO2emission.


Conclusions

This model will benefit the university in term of showing all energy andCO2 produce by each student in Carlson, which this spreadsheet can be a

model for other facilities in the university to calculate the same output

(energy and CO2).

This model can also be used to track down some product that produce lotsof waste and try to change its supplier to have greener product to the

university.


1. Introduction




5. Network Mapping




9. Conclusion

Network Mapping

Topics

Green

Importance of Mapping

Mapping of UW- Green Mapping

Process of Green Mapping

Assumptions

Mapping of UW-Whitewater

Calculations

Spreadsheet

Map

Green Mapping

Importance of Mapping and Planning

Develop a master plan

Preserve green Preserve solar

Perform review of all expansion

plans

Basic Steps Toward Sustainability

Preserve green space

Minimize on campus driving

Maintaining indigenous

plant life

Preserve solar access

Green Mapping

Process of Green Mapping

CO2,CH4, N O

coal

electricity

gasolinepropane

natural gas

Various Sources Of Data

Emission Source Data Source

Coal Plant daily engineers log

Electricity Electric Invoices

Natural Gas Gas Invoices

Fuel Oil Plant daily engineers log

Paper Cubes Plant daily engineers log

Propane Utility Invoices

N2O

paper cubes

biodisel

diesel

Gasoline Fuel Throughput

Diesel Fuel Throughput

Air Travel Controllers Office

Vehicle Rental Controllers Office

Commuting Rideshare Program

Animal Husbandry Various Academic Departments

Green Mapping

o Average number of classes per student is 5

o Carlson Hall (students, faculty, staff) represents a behavior pattern for all other buildings

Commuters vs. Non-commuters

Consumption per student/faculty/staff/department/office per semester

Assumptions

Consumption per student/faculty/staff/department/office per semester

Ratio of student/faculty/staff/department/office per semester

Faculty/staff/department/office remains constant over the years

o Off campus classes & undetermined disregarded

Green Mapping

Process of Mapping University of Wisconsin - Whitewater

Calculations

o total number of classes and students 54,032

o total number of students in semester 10,852

o average number of classes/student 5

>> Spreadsheet data / Map


1. Introduction




5. Network Mapping




9. Conclusion

Supplier Selection

Topics

Supplier


Organizations Respond to

Trends

Supplier

Assumptions

Supplier Selection

Supplier Selection

Framework

UW-Whitewater

Selection Criteria

RMIT University -

Australia

Wal-Mart

Conclusions

Supplier Selection

Supplier selection is an objective

process of selecting key suppliers

based on a set of agreed criteria

useful in deciding the right

members in the supply chains:

Standardized selection criteria

or,


Trends in Business

Organizations

1. Changes in Environmental

requirements and public

pressure on organizations:or,

criteria arising from

organizations core processes

requirements

Green supplier selection criteria

result from specific organization

responses to existing trends in

environmental and business

management issues.

pressure on organizations:

2. Supply chains integration

Needs to reduce costs

and better serve

customersNOTE FROM THESE TRENDS:

The opportunity to exceed environmental

expectation of governments and

customers through supply chain

collaborations

Supplier Selection

Two major types:

Determine the extent to which the purchasing function can impact

Organizations Responses to the businesses and environmental trends:

Reactive approaches

Risk based approaches

End of pipe approaches

Resistant adaptation

Proactive/Innovative approaches

Innovative and specialized environmental

strategies

Integrate other members in the supply

chain

environmental management activities.

Materials used in product design

Product design processes

Supplier processes

Supplier evaluation and selection

Materials delivery

Determine the nature of supplier selection criteria Diffrent weight assigned depending on importance

Supplier Selection

A framework for incorporating environmental criteria into the supplier selection process. (P.K.

Humphreys, Y.K. Wong, F.T.S. Chan)

Supplier Selection

UW-Whitewater is a part of University of Wisconsin System and, as a State agency, is

subject to State Authority and regulations on purchasing e.g. 1989 Wisconsin Act 335.

Procurement is based on State wide contracts and policy

The Bureau of Procurement and state agencies will achieve the goals of recycling and

waste reduction procurement by :

Revising specifications,

Bidding effectively, and

Purchasing recycled products.

UW- Whitewater

Purchasing recycled products.

Specification requirements for products to be bought include:

Minimize solid waste in accordance with the state solid waste management

priorities,

Favor durable, multiple-use items over single-use disposable products.

Acknowledge ultimate disposal and recyclability of products.

Use life cycle costs

Environmental criteria for purchased papers :

The average post consumer /recycled content must be at least 40% of all

purchased paper and may need a mill certification.

This does not have to compromise with requirement for competitive

market, Reasonable Price, and adequacy of supply.

Supplier Selection

RMIT University - Australia

Purchasing score cards Observes the following properties for environmentally preferred copy

papers:

A high post-consumer waste content.

Is sourced from alternative fibers

such as hemp, Benaf and Bagasse.

Is sourced from plantations that have

been managed with consideration of been managed with consideration of

the principles of ecological

sustainability, i.e. without employing

the use of genetic engineering, native

bush clearance, herbicides, and with

water quality in mind.

Has not been chlorine bleached.

Use Green Purchasing Score card

To encourage self assessment of

green credentials of different

products.

Supplier Selection

Packaging Scorecard

Wal-Mart

The company established a goal to reduce packaging used by suppliers by 5% by 2013.

In an effort to achieve this target, WALMART has announced an innovative scorecard system for manufacturers to rank their current use of packaging.

Scores categories include: Greenhouse gas emissions produced per ton of packaging, Greenhouse gas emissions produced per ton of packaging,

Raw material use,

Packaging size,

Recycled content,

Material recovery value,

Renewable energy use,

Transportation impacts,

Innovation.

Plan was for Wal-Mart to make purchasing decisions based on the scorecard results starting from 2008.

Supplier Selection

Conclusions

It is not clear how UW- System assess compliance of suppliers to the states

environmental targets since delivery is done direct to users.

There is possibility for procurement authority to be decentralized:

State procurement Bureau

UW System

UW Whitewater

UWW- Departments/faculties using purchasing cards UWW- Departments/faculties using purchasing cards

UW-System/UW-Whitewater may cooperate with suppliers and establish

clear and objective environmental criteria involving both quantitative and

qualitative criteria.

UW System , UWW, and other universities under UW System need to

develop supplier selection tools.

Decision support system with focus on environment and recycling

Environmental Purchasing score cards

Supplier Selection

For the Qualitative environmental criteria to be useful for UW-Whitewater it is

assumed that, the university , either by itself or through UW-system is willing

and able to enter into long term relationships with key suppliers.

With assumption that the University is able and willing to centralize

purchasing and supplier selection decisions, The proactive responses to

environmental management issues is a useful and effective approach for UW-

Whitewater.

Assumptions

Whitewater.


1. Introduction




5. Network Mapping




9. Conclusion

Disposal Totals

Starting Data Items

Average Pounds of Refuse Per Building

Average Pounds of Recycling Per Building

Average Units of CO2 Per Item Recycled

Forecast Versus Actual Pounds of Recycling Forecast Versus Actual Pounds of Recycling

Total Waste Comparison

Total Waste Comparison (percents)

Suggestions for Improvement

Reverse Logistics

Composting Food Waste

Increase Number of Outdoor Recycling Cans

Disposal Totals

Given (from Johns Disposal Service):

Total Refuse (land fill) per quarter

Total Recycling per quarter

Itemized Total Recycling per quarter

Recycling Categories:

Paper

CardboardCardboard

Glass

#1 Plastic

#2 Plastic

Tin Cans

Aluminum Cans

Pick up days per building

Container Size per building in cubic yards

Disposal Totals

Building

Pounds of Refuse

Per Semester

General Services-Warehouse 1786

General Services 5358

Res Life Storage Shed 5358

Arey Hall 10717

Benson Hall 10717

Bigelow Hall 14289

Bookstore 5358

CA inside 3572

CA loading dock 2679

CA scene shop 1786

CA ceramics room 3572

Carlson 10717

Clem Hall 14289

Drumlin 10717

Drumlin 32150

Esker 42867

Fischer Hall 14289

Goodhue 5358

Pounds of Land Filled Refuse Per Building

(based on average pounds per building for first

two quarters of 2008):

Goodhue 5358

Grounds Crew 14289

Health Center 2679

Heating Plant 893

Heide Hall 7144

Hyer Hall 2679

Knilans Hall 14289

Lee Hall 28578

Library 8931

McCutchan Hall 2679

McGraw Computer Center 2679

Roseman Hall 16075

Tutt Hall 10717

University Center 16075

University Center 21433

Upham Hall 5358

Warhawk Stadium 2679

Wellers 14289

Wells East 53583

Wells West 75017

White Hall 10717

Williams Center 16075

Disposal Totals

Pounds of

Recycling

Per Building:

Building

Total Pounds of

Recycling Per

Semester

Pounds of

Paper Per

Semester

Pounds of

Card Board

Per Semester

Pounds of

Glass Per

Semester

Pounds of

Plastic Per

Semester

Pounds of

Aluminum Per

Semester

Pounds of Tin

Per Semester

General Services-

Warehouse 1130 655 192 136 79 45 23

General Services 2260 1311 384 271 158 90 45

Arey Hall 3390 1966 576 407 237 136 68

Benson Hall 6780 3933 1153 814 475 271 136

Bigelow Hall 6780 3933 1153 814 475 271 136

Bookstore 3390 1966 576 407 237 136 68

CA inside 3390 1966 576 407 237 136 68

CA loading dock 2260 1311 384 271 158 90 45

CA scene shop 2260 1311 384 271 158 90 45

CA ceramics room 4520 2622 768 542 316 181 90

Carlson 3390 1966 576 407 237 136 68

Clem Hall 6780 3933 1153 814 475 271 136

Esker 20341 11798 3458 2441 1424 814 407

Fischer Hall 5085 2949 864 610 356 203 102

Goodhue 3390 1966 576 407 237 136 68

Health Center 3390 1966 576 407 237 136 68

Heide Hall 3390 1966 576 407 237 136 68

Hyer Hall 3390 1966 576 407 237 136 68

Knilans Hall 5085 2949 864 610 356 203 102

Lee Hall 3390 1966 576 407 237 136 68

Library 4520 2622 768 542 316 181 90

McCutchan Hall 2260 1311 384 271 158 90 45

McGraw Computer

Center 3390 1966 576 407 237 136 68

Roseman Hall 6780 3933 1153 814 475 271 136

Tutt Hall 5085 2949 864 610 356 203 102

University Center 3390 1966 576 407 237 136 68


Upham Hall 4520 2622 768 542 316 181 90

Warhawk Stadium 1130 655 192 136 79 45 23

Wellers 6780 3933 1153 814 475 271 136

Wells East 6780 3933 1153 814 475 271 136

Wells West 10170 5899 1729 1220 712 407 203

White Hall 3390 1966 576 407 237 136 68

Williams Center 4520 2622 768 542 316 181 90

Disposal Totals

Units of CO2Per Item of

Recycling

Per Building:

Building

Total Units

of CO2 Paper CO2 Card Board CO2 Glass CO2 Plastic CO2 Aluminum CO2 Tin CO2General Services-Warehouse 6568 1268 54 4339 364 362 181

General Services 13136 2537 108 8679 728 723 362

Arey Hall 19704 3805 161 13018 1092 1085 542

Benson Hall 39407 7610 323 26036 2183 2170 1085

Bigelow Hall 39407 7610 323 26036 2183 2170 1085

Bookstore 19704 3805 161 13018 1092 1085 542

CA inside 19704 3805 161 13018 1092 1085 542

CA loading dock 13136 2537 108 8679 728 723 362

CA scene shop 13136 2537 108 8679 728 723 362

CA ceramics room 26271 5074 215 17358 1455 1446 723

Carlson 19704 3805 161 13018 1092 1085 542

Clem Hall 39407 7610 323 26036 2183 2170 1085

Esker 118221 22831 968 78109 6550 6509 3255

Fischer Hall 29555 5708 242 19527 1637 1627 814

Goodhue 19704 3805 161 13018 1092 1085 542Goodhue 19704 3805 161 13018 1092 1085 542

Health Center 19704 3805 161 13018 1092 1085 542

Heide Hall 19704 3805 161 13018 1092 1085 542

Hyer Hall 19704 3805 161 13018 1092 1085 542

Knilans Hall 29555 5708 242 19527 1637 1627 814

Lee Hall 19704 3805 161 13018 1092 1085 542

Library 26271 5074 215 17358 1455 1446 723

McCutchan Hall 13136 2537 108 8679 728 723 362

McGraw Computer Center 19704 3805 161 13018 1092 1085 542

Roseman Hall 39407 7610 323 26036 2183 2170 1085

Tutt Hall 29555 5708 242 19527 1637 1627 814



Upham Hall 26271 5074 215 17358 1455 1446 723

Warhawk Stadium 6568 1268 54 4339 364 362 181

Wellers 39407 7610 323 26036 2183 2170 1085

Wells East 39407 7610 323 26036 2183 2170 1085

Wells West 59111 11415 484 39054 3275 3255 1627

White Hall 19704 3805 161 13018 1092 1085 542

Williams Center 26271 5074 215 17358 1455 1446 723

Disposal Totals

Forecast Data:

Categories:

Paper

Paper White

Paper Colored

Newspaper/Magazine

Mailing Supplies

Paper Container

Book

Text Book

CardboardCardboard

Cardboard Box

Plastic

Plastic Bottle

Plastic Cups

Plastic Baggy

Bottle Water

Aluminum Cans

Disposal Totals

Forecast Data:

Not Included:

Glass

Tin Cans

In forecast but not in actual:

Cartridge

Toner

Soy InkSoy Ink

Disposal Totals

Pounds of Recycling

(forecast versus

actual):

Roseman

Student Athletic Complex

University Center

Upham

Wells

White

Williams Center

Pounds of Recycling Per Building Per Semester

0 10000 20000 30000 40000 50000 60000 70000 80000 90000

Anderson Library

Carlson

Center of the Arts

Health Center

Heide

Hyer

Mc Cutchan

Mc Graw

Actual

Forecast (no books)

Forecast

Disposal Totals

Pounds of waste by

disposal type:

Total Refuse:

Actual Waste Per Semester:

75713

266130

341843

Total Waste Per Semester

0 50000 100000 150000 200000 250000 300000 350000

Forecast Recycling:

Forecast Recycling (no books):

Actual Recycling (select buildings)

336883

208636

Pounds of Waste

Disposal Totals Forecast versus Actual

Forecast predicts

larger percentage of

total waste is

recycled:


Total Refuse:

23

77

Percentage of Total Waste Per Disposal Type

0 10 20 30 40 50 60 70 80 90 100

Forecast Recycling:

Forecast Recycling (no books):


99

61

23

Disposal Totals

Comparing Forecast to Actual Totals:

Data assumptions (rounding, weight, semester averages, etc.)

Forecast break down refuse or recycling?

Potential to increase recycling


Reverse LogisticsStart at the end of the supply chain and work forwards

Divert waste from landfill by:

Working with suppliers

- decrease packaging

-return items to supplier to be recycled

3rd party recycling collector (items that current recycling provider can not recycle)

-Toner and ink cartridges

Campus

Buildings

Students

Faculty

Staff

Solid Waste

Collection &

Recycling

Suppliers

Specialized

Collection


Composting Food Waste

No data available from Johns Disposal Service on amount of food waste collected

Average food waste accounts for 11% of municipal waste in state of Wisconsin

(WasteCap Wisconsin, 1997)

Potential to reduce residence hall refuse by starting a composting program:

Building

Pounds of Refuse Per

Semester

Potential Reduction With

CompostingBuilding Semester Composting

Arey Hall 10717 1179

Benson Hall 10717 1179

Bigelow Hall 14289 1572

Clem Hall 14289 1572

Drumlin 10717 1179

Drumlin 32150 3536

Esker 42867 4715

Fischer Hall 14289 1572

Knilans Hall 14289 1572

Lee Hall 28578 3144

Tutt Hall 10717 1179

Wellers 14289 1572

Suggestions For Improvement

More Outdoor Recycling Cans

Convenience is a factor in recycling heavier items (aluminum, plastic, glass) but

not lighter items (paper) (Ando and Gosselin, 2005)

Data from Johns Disposals Service supports this (58% of all recycling

is paper)

Could increase amount of recycled aluminum, plastic and glass by

making recycling between buildings more convenient

Placing recycling cans next to trash cans would achieve this

Currently a few outdoor recycling cans, but more are needed to improve the

system

Existing UW-

Whitewater

recycling bins are

in buildings (green)

and along

sidewalks (dark

green).

Existing trash cans

More Outdoor Recycling Cans

Suggestions For Improvement

Existing trash cans

are shown in light

green.

Parking Lots and

sidewalk corridors

(in red) would

benefit from more

recycling cans.


1. Introduction




5. Network Mapping




9. Conclusion

Sustainability Costing

Topics

Sustainability

-

Sustainability Costing Separate

Presentation--


1. Introduction




5. Network Mapping




9. Conclusion

Conclusion

Continuous Quality Improvement Approach (CQI) Incremental, never-ending cycle of service

design, delivery, evaluation, and redesign leads to long-term competitive strength.

Incremental reduction of UWW Carbon Footprint

ISMs Principles of Sustainability and Social Responsibility: Guide to Adoption and

Implementation (ISM)

State Selected Initiative

Wrap-up

State Selected Initiative

Build the business case

Plan, Implement, and Track Measures

Evaluate & Adjust

As the University of Wisconsin - Whitewater continues to build on the cornerstone of the

Climate Change Commitment, each new initiative implemented and maintained will prove to be

the building blocks of a sustainable future. The University will realize many continued benefits

as well as the local and global communities served by the schools graduates.

Go Green!Go Green!

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