Title: Methods to Office Eliminates Waste - VRDS
1Office Waste 101
Darian Rashid Managing Director, VRDS Inc. (732)
219-7001 darian.rashid_at_vrds.com http//www.vrds.c
om/ _at_VRDSinc
2Office Waste 101 Topics
- Value
- Waste
- Waste in the Office
- Data and Information Waste
- Workflow Waste
- Employee Waste
- Resource Waste
- Methods to Eliminate Waste
- Questions
3Value
- Main Entry value
- Pronunciation \val-(,)yü\
- Function noun
- a Something that adds form, feature or function
- b Something that a customer is willing to pay
for
4Waste
CVA
Any task, function, item, etc. that does not add
value to the customers or shareholders
BVA
NVA
NVA
CVA
CVA
BVA
BVA
ransportation
T I M W O O D
nventory
BVA
otion
NVA
aiting
verproduction
verprocessing
efects
5Types of Office Waste in the Office
- Data and information waste
- Workflow waste
- Employee waste
- Resource waste
- WARNING Only waste IF it doesnt add value
6Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
To counter cronyism, Max Weber (1864-1920)
created the "rational-legal system" form of
organization - its structure and processes
designed to achieve certain goals. The
bureaucracy is designed for optimum functional
performance and unity of purpose, and authority
is exercised by rule and procedural systems.
7Data and Information Waste
- Redundant input and output of data
- Manual checking of electronic data
- Missing data
- Unavailable data
- Incorrect data
- Incompatible information systems
- Data dead ends
8Redundant Input and Output of Data
- Identical data inputs or outputs occur more than
once without adding any extra (customer) value - Filling out multiple forms that have the same
fields of information - New patient forms / new school year forms
- Automated call asking you to enter information
and then having call rep ask for same information - Receiving multiple reports or emails that have
essentially the same information forwarding of
emails - Distribution lists that included unnecessary
recipients - Generating the same report in different formats
for different internal customers
9Manual Checking of Electronic Data
- Electronic or electronically generated
information is manually checked for accuracy,
completeness, and so on - Manual checking of data that has been entered
electronically - Manual checking of results that have been
computed electronically - Manually remove incomplete entries
- Removing bogus entries i.e., stores that ask your
phone number - Printing electronic media to check or file
- Software development and validation rules
- No idea that validation rules are required
- No access to developers of the software to write
in validation rules - Legacy systems that cannot be tampered with, even
if development resources are available
10Missing Data
- Required fields are missing which invalidates the
entire record - Results in incomplete data sets which are
analyzed leading to invalid or suspect decisions - Data collection methods are suspect or biased
- Analysis performed with an insufficiently small
sample size
11Unavailable Data
- Data that is needed but not logistically possible
to collect - Data that is available but cannot be obtained for
political reasons e.g. IT doesnt have time to
run the query for me so I have to wait
12Incorrect Data
- Wrong, biased, unreproducable, unrepeatable,
unstable, or inaccurate data - Unsure about data source
- Unknown sampling plans
- No traceability
- Multiple manual entries and hand-offs
- Complicated, redundant, and lengthy input, forms,
and screens - Verbally transmitted data
13Incompatible Information Systems
- Systems that are used in the same process but
require human intervention to share data - Manual transference from one system to another
- Literally transferring the same data from one
screen to another - Manual translation of outputs from one system
into another - Reformatting the output into the new input
- 123456789 ? 123-45-6789
- 2345678901 ? (234) 567-8901
- Delimiting in Excel
- Performing calculations on the output into the
new input - Pivot tables and summary data for the second
system - Transposing columns to rows
- Paralysis cant transfer or translate
14Data Dead Ends
- Occurs when data flows through a system and then
stops, not serving any purpose - Metrics that are collected but never looked at
- Reports that are run but never looked at
- Write-only data
- Downstream process no longer needs data but is
still collected upstream - Call center systems that track every aspect of
call but data is never used for process
improvement. i.e., timestamps for individual
segments of a call - Airline asking for passport information for
domestic flights
15Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
16Workflow Waste
- Hand-offs
- Batches, stacks and queues
- Micromanagement and approvals
- Branching
- Extra or over processing
17Hand-Offs
- Turning over information, data, tasks, etc. to a
colleague, group, department, etc. - Both horizontal (functional) and vertical
(hierarchy) - Swim-lane map is the best way to see this
interfaces - Dragging bags from check-in over to security
check - Restaurant different person taking order,
delivering drinks, and delivering food - Hospital emergency room
- Bank manager approval
- Call center transfers
- Help desk
18Batches, Stacks and Queues
- Sets of information, requests, people, materials,
etc. that are stalled and building up mid-process - Data waiting to be processed or refreshed
- Projects, portfolios, or files in queue
- Data and reports waiting to be batched
- Unread emails
19Micromanagement and Approvals
- Supervision, monitoring, checking, auditing, and
inspecting - Supervision and management interactions with
employees - Controls and redundancy
- Approvals for expenditures over budget
- Required waste
- Regulatory and legal
- Business value add
20Branching
- Deviating from the standard workflow
- Employee inconsistency (nonstandardized work)
- Unbalanced work (bottlenecks)
- Customer demand or order fluctuations
- Supply chain variation
- Audits/checks
- Approvals
21Extra Or Over-Processing
- Doing more than is required by the customer
- Multiple reports formats, all with the same
information - Creating reports and charts for decision making
- Supplemental manual entry of data
- Use of different software in different
departments - Paperwork and duplicate forms
- Bad design
- Overlapping system capabilities
22Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
23Employee Waste
- Busy work
- Motion
- Ignoring ergonomics
- Underutilization of talent
24Busy-work
- Assignments and tasks that are time-consuming but
not useful - Multitasking
- Task interruptions
- Issue resolution
- Firefighting and problem solving
- Outside interruptions (visitors, phone, email,
etc.) - Training
- Low or no investment in training
- Training materials and trainer unavailable
- Wall to wall meetings
- Meetings to eliminate meetings
25Motion
- Human movement
- Reaching, lifting, pushing, pulling,
- Manually searching and gathering data and files
- Extra clicks, key strokes, and code
- Travelling to other buildings
- Travelling to other sites across town, the state,
the country, etc.
26Motion
27Ignoring Ergonomics
- Waste from the interaction of humans with
objects, tasks, jobs, products, systems, and the
environment that lowers performance, increases
errors, and decreases user satisfaction through
discomfort and poor aesthetics - Bad design of tasks and work areas
- Operator fatigue and discomfort
- Also called biotechnology, human engineering, and
human factors engineering - Safety, time and motion, workplace design
- Keyboards, mice, pads, chairs, handles, displays,
28Underutilization of Talent
- Not using peoples creative and analytical
skills to their potential - Low or no investment in training or cross
training - Unclear qualifications, roles, or
responsibilities - Old guard thinking, politics, the business
culture - Not providing opportunity for growth
- Start using software without prior training
- Poor hiring practices
- Low pay, high turn over strategy
- Politics and corporate culture
- Cronyism
29Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
30Resource Waste
31Hoarding and Stockpiling
- Holding on to more material, information or
resources than what is needed - Just in-case
- Supply closets, cabinets, and drawers
- Sales literature and materials
- Unused databases, data, and software
- Raw materials
32How Many Do You have?
- Data and Information Waste
- Redundant input and output of data
- Manual checking of electronic data
- Missing data
- Unavailable data
- Incorrect data
- Incompatible information systems
- Data dead ends
- Resource Waste
- Hoarding and stockpiling
- Workflow Waste
- Hand-offs
- Batches, stacks and queues
- Micromanagement and approvals
- Branching
- Extra or over processing
- Employee Waste
- Busy work
- Motion
- Ignoring ergonomics
- Underutilization of talent
33Methods to Expose Waste
- Process mapping
- Spaghetti diagrams
- Value add analysis
- Eliminating non-value add
- Eliminating or reducing business value add
- Reducing value add time
- Value stream mapping
- 5S initiatives
- Resource leveling
34Methods to Eliminate Waste
- Flow control systems
- Work-in-process (WIP) caps
- Visual management / information radiators
- Cellular groups
- Push vs. Pull systems
- More advanced methods appropriate on some
occasions - Kanban and supermarkets
- Time trap analysis (bottlenecks)
- Order entry levels, safety stock, service levels,
demand intervals
Beaver Dam
Copyright 2007 VR Data Systems, Inc. All
rights reserved.
Copyright 2007 VR Data Systems, Inc. All
rights reserved.
35Summary
- Value Something a customer is willing to pay
for - Waste Any action, task, function, etc. that
doesnt add value to the customer or the
shareholder - There are different types of waste in the office
- Data and information waste
- Workflow waste
- Employee waste
- Resource waste
- Process mapping and Value-Add analyses are
powerful ways to expose these wastes
36Questions?
Eliminate the Res
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