Methods to Office Eliminates Waste - VRDS - PowerPoint PPT Presentation

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Methods to Office Eliminates Waste - VRDS

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Virtually all waste is work, but the opposite is certainly not true. Just because we classify an activity as something that the customer is unwilling to pay for doesn’t mean that it isn’t work. visit here:- – PowerPoint PPT presentation

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Title: Methods to Office Eliminates Waste - VRDS


1
Office Waste 101
Darian Rashid Managing Director, VRDS Inc. (732)
219-7001 darian.rashid_at_vrds.com http//www.vrds.c
om/ _at_VRDSinc
2
Office Waste 101 Topics
  • Value
  • Waste
  • Waste in the Office
  • Data and Information Waste
  • Workflow Waste
  • Employee Waste
  • Resource Waste
  • Methods to Eliminate Waste
  • Questions

3
Value
  • 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

4
Waste
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
5
Types of Office Waste in the Office
  • Data and information waste
  • Workflow waste
  • Employee waste
  • Resource waste
  • WARNING Only waste IF it doesnt add value

6
Data 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.
7
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

8
Redundant 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

9
Manual 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

10
Missing 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

11
Unavailable 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

12
Incorrect 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

13
Incompatible 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

14
Data 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

15
Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
16
Workflow Waste
  • Hand-offs
  • Batches, stacks and queues
  • Micromanagement and approvals
  • Branching
  • Extra or over processing

17
Hand-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

18
Batches, 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

19
Micromanagement 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

20
Branching
  • Deviating from the standard workflow
  • Employee inconsistency (nonstandardized work)
  • Unbalanced work (bottlenecks)
  • Customer demand or order fluctuations
  • Supply chain variation
  • Audits/checks
  • Approvals

21
Extra 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

22
Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
23
Employee Waste
  • Busy work
  • Motion
  • Ignoring ergonomics
  • Underutilization of talent

24
Busy-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

25
Motion
  • 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.

26
Motion
27
Ignoring 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,

28
Underutilization 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

29
Data and Information WasteWorkflow
WasteEmployee Waste Resource Waste
30
Resource Waste
  • Hoarding and Stockpiling

31
Hoarding 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

32
How 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

33
Methods 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

34
Methods 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.
35
Summary
  • 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

36
Questions?
Eliminate the Res
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