Lean A.I as automation.
Anil Kumar Bheemaiah, A.B, Seattle WA 98125, USA.
[email protected], 8/23/2018 9.44 AM
Abstract
Lean A.I is a data mining algorithm that implements the Referendum Algorithms for polls and blog
data lakes, to implement the Lean process in an organization. This paper discusses the Referendum
Algorithms and its application to the automated implementation of Lean methodology.
Keywords: Lean Methodology, Lean in Agile, Lean Automation, Referendum Algorithm, Data Mining.
Introduction.
Lean Thinking.
(Contributors to Wikimedia projects 2005)
Lean thinking is a business methodology that
aims to provide a new way to think about
how to organize human activities to deliver
more benefits to society and value to
individuals while eliminating waste.
The aim of lean thinking is to create a lean
enterprise, one that sustains growth by
aligning customer satisfaction with employee
satisfaction, and that offers innovative
products or services profitably while
minimizing unnecessary over-costs to
customers, suppliers and the environment.
The basic insight of lean thinking is that if you
train every person to identify wasted time
and effort in their own job and to better work
together to improve processes by eliminating
such waste, the resulting enterprise will
deliver more value at less expense while
developing every employee's confidence,
competence and ability to work with others.
Lean thinking as such is a movement of
practitioners and writers who experiment
and learn in different industries and
conditions, to lean think any new activity.
Pull is the basic technique to "Lean" the
company and, by and large, without pull there
is no lean thinking.
Seeking perfection through
kaizen:(50MINUTES.COM 2015; Topolsky,
n.d., n.d., [b] 2017, [a] 2017; “Continuous
Improvement with Kaizen Teams” 2010;
Topolsky, n.d.; Hakutsuru and Ueda 2017;
Maurer 2012) The old time sensei used to
teach that the aim of lean thinking was not to
apply lean tools to every process, but to
develop the kaizen spirit in every employee.
The lean community is now a generation
strong and has many great examples to offer
to any lean learner, whether beginner or
experienced.
Lean thinking is thinking together and no
employee should be left alone with a problem.
On teaches lean thinking in highlighting the
immediate barriers to the lean goal of zero
defect at every step of the process at all time.
Standardized Work: Lean thinking is about
seeking the smoothest flow in anywork, in
order to see problems one by one and resolve
them one by one, thus improving both the
flow of work and the autonomy of the person.
Standardized work teaches lean thinking by
visualizing every obstacle to smooth work
each person encounters and highlighting
topics for kaizen.
Visualization teaches lean thinking by getting
people to work together on their own
problems and develop their responsibility to
reaching objectives without overburden.
There are two controversies surrounding the
word "Lean," one concerning the image of
lean with the general public and the other
within the lean movement itself.
Lean thinking very clearly states that it seeks
cost reductions - finding the policy origins of
unnecessary costs and eliminating at the
cause - and not costcutting - forcing people to
work within reduced budgets and degraded
conditions in order to achieve line by line cost
advantage.
A second ongoing controversy, within the
lean community itself, concerns how closely
lean thinkers should follow Toyota practices.
This debate is thus vital for the lean
movement as confronting Toyota practices,
such as they are here and there, to other
environments is the starting point of lean
thinking.
In this respect, "How much like Toyota
thinking should lean thinking be?" is a
question without an answer that merits
constant, case by case consideration.
Individual customers rather than market
segments: Without denying the need to think
in terms of segments, lean thinking is about
taking seriously every single customer
complaint and opinion of the product or
service, as a fact.
By contrast, lean thinking is taught to
managers so that they help their own direct
reports to think lean and reduce overburden,
unneeded variation and activity waste by
working more closely with their teams and
across functional boundaries.
Lean thinking at senior level creates leaner
enterprises because sales increase through
customer satisfaction with higher quality
products or services, because cash improve as
flexibility reduces the need for inventories or
backlogs, because costs reduce through
identifying costly policies that create waste at
value-adding level, and because capital
expenditure is less needed as people
themselves invent smarter, leaner processes
to flow work continuously at t akt time
without waste.
Lean and green.
(Contributors to Wikimedia projects 2005)
The import of lean thinking goes way beyond
improving business profitability.
In their seminal book Natural
Capitalism(Hawken 2013; Lovins and Hunter
Lovins, n.d.; Hunter Lovins, Lovins, and
Hawken 2007; Hawken et al. 1999), authors
Paul Hawken, Amory Lovins and L. Hunter
Lovins explicitly reference lean thinking as a
way to sustain growth without so much
collateral damage for the environment.
Lean thinking's approach to seek to eliminate
waste in the form of muri, mura and muda is a
proven practical way to attack complex
problems piece by piece through concrete
action.
Toyota industrial sites are well known for
their sustainability efforts and wellahead of
the "Zero landfill" goal - all waste recycled
within the site.
Practicing lean thinking offers a radically new
way to look at traditional goods and service
production to learn how to sustain the same
benefits at a much lower cost, financially and
environmentally.
he import of lean thinking goes way beyond
T
improving business profitability.
In their seminal book N
atural Capitalism,
authors Paul Hawken, Amory Lovins and L.
Hunter Lovins explicitly reference lean
thinking as a way to sustain growth without
so much collateral damage for the
environment.
Lean thinking's approach to seek to eliminate
waste in the form of m
uri, mura and m
uda is a
proven practical way to attack complex
problems piece by piece through concrete
action.
Toyota industrial sites are well known for
their sustainability efforts and wellahead of
the "Zero landfill" goal - all waste recycled
within the site.
Practicing lean thinking offers a radically new
way to look at traditional goods and service
production to learn how to sustain the same
benefits at a much lower cost, financially and
environmentally.
The Referendum Algorithm
The referendum algorithm is a basket of data
mining tools operating on a data lake of poll
data and blog data. These tools can consist of
both statistical and deterministic text mining
tools[2](“Website” n.d.). These form the basis
for a decision support system.
The philosophy is of the involvement of the
local community in decision making on
development in their neighbourhood, by the
collection of data of polls and blogs creating a
data lake to be mined for e-governance.
Considerable efficiency and simpler solutions
can be mined, which leads to better profits,
lean implementations and more sustainable
solutions.
Koteshwara et. al discuss a text mining DSS
for e-governance using clustering and
association mining algorithms from a data
lake[2].
Lean A.I
Lean A.I is the application of text mining and
artificial intelligence to automatic decision
making using a data lake of feedback from the
workforce on Muda, Muri and Mara. Value
addition, pull processes and just in time
concepts.
Various algorithms for text mining can be
applied analogous to the referendum data
mining system for the automation of decision
processes.
The application of the Lean process, as a
modification of the TPS to the administration
of a non profit organisation The Mother
Divine is discussed. So is the application to
Software Development Management and the
Agile SDLC.
Mura.
Mura is a Japanese word meaning
"Unevenness; irregularity; lack of uniformity;
nonuniformity; inequality", and is a key
concept in the Toyota Production System as
one of the three types of waste.
Mura, in terms of business/process
improvement, is avoided through
Just-In-Time systems which are based on
keeping little or no inventory.
These systems supply the production process
with the right part, at the righttime, In the
right amount, using first-in, first-out
component flow.
Just-In-Time systems create a "Pull system" in
which each sub-process withdraws its needs
from the preceding sub-processes, and
ultimately from an outside supplier.
This type of system is designed to maximize
productivity by minimizing storage overhead.
This is also the inspiration for the “Vahi Ka
Vahi” model of model of
ecommerce(Bheemaiah 2019 in publication).
TMbDSS is used for Change Management of
any part of the BPM KM.
A polling system is used for the change
authorization, using text extraction
techniques[] and the Occam’s Razor HDL to
mine the simplest solution.
Usually Natural Law solutions for
improvement of the BPM KM are given
preference over technological solutions.
Muri.
Muri (無理) is a Japanese word meaning
"unreasonableness; impossible; beyond one's
power; too difficult; by force; perforce;
forcibly; compulsorily; excessiveness;
immoderation",and is a key concept in the
Toyota Production System (TPS) as one of the
three types of waste (muda, mura, muri).
The same concept of Muri can be generalized
to the SDLC or the BPM KM, TMbDSS can be
used for the text extraction of feedback, in a
tree data structure, for the automated
analysis of Muri(McGovern 2018b; Lin and
Hunter 2015; Eswaramoorthi et al. 2010), the
propagation of this to BPM KM, can be
controlled through change management and a
poll, similar to the Mura
technology.(Harrington and James
Harrington 2017; “The Lean Six Sigma Guide
to Doing More with Less” 2012; Davis 2009;
Jackson and Woeste 2008; George and
Tamilio 2015)
Muda.
Muda is a Japanese word meaning "Futility;
uselessness; wastefulness", and is a key
concept in lean process thinking, like the
Toyota Production System as one of the three
types of deviation from optimal allocation of
resources.
One of the key steps in lean process and TPS
is to identify which activities addvalue and
which do not, then to progressively work to
improve or eliminate them.(McGovern 2018a;
Traeger 1994; “Lean Thinking, Muda, and the
Four Ls” 2010; Chahal and Fayza 2016)
The longer a product sits in one of these
states, the more it contributes to waste.
The smooth, continuous flow of work through
each process ensures excess amounts of
inventory are minimized.
In contrast to transportation, which refers to
damage and transaction costs associated with
moving the product, motion refers to the
damage and costs inflicted on what creates
the product.
Whenever the product is not in
transportation or being processed, it is
waiting.
Making more of a product than is required
results in several forms of waste, typically
caused by production in large batches.
Having to discard or rework a product due to
earlier defective work or components results
in additional cost and delays.
Henry Ford probably said it best when he
noted, "You can think you can achieve
something or you can think you can't and you
will be right. Shigeo Shingo divides process
related activity into Process and Operation.
He distinguishes"Process", the course of
material that is transformed into product,
from "Operation" which are the actions
performed on the material by workers and
machines.
The plan is therefore to build a fast, flexible
process where the immediate impact is to
reduce waste and therefore costs.
Similar TMbDSS with change management by
poll, can be used for waste reduction.
For the wastes in :
Transportation
“Every time a product is touched or moved
unnecessarily there is a risk that it could be
damaged, lost, delayed, etc. as well as being a
cost for no added value. Transportation does
not add value to the product, i.e. is not a
transformation for which the consumer is
willing to pay”.(Achahchah, n.d., 2018; Pries
and Quigley 2012; Myerson 2016; Vieira et al.
2012)
This is automated in BPM KM by optimization
of the operating system controlling the SDLC
processes in case of an SDLC implementation
or in case of an organization’s, BPM KM,
change management by polling with text
mining and operational optimization for DSS
is recommended.(T
he Promotion of BPM and
Lean in the Health Sector: Main Results 2018;
Kemsley 2015; Komus 2011; Wiesler 2018;
Höver and Mühlhäuser 2014; Anderson,
Boulanger, and Johnson 2008; Kale 2016;
Nanopoulos and Schmidt 2014)
Inventory[e dit]
Whether in the form of raw materials,
work-in-progress (WIP), or finished goods,
represents a capital outlay that cannot yet
produce an income. The longer a product sits
in one of these states, the more it contributes
to waste. The smooth, continuous flow of
work through each process ensures excess
amounts of inventory are minimized.
The operational optimization and
contributions to change management for
reduction of wastage by reducing inventory is
as previously described.
Motion[e dit]
In contrast to transportation, which refers to
damage and transaction costs associated with
moving the product, motion refers to the
damage and costs inflicted on what creates
the product. This can include w
ear and tear
for equipment, repetitive strain injuries for
workers, or unnecessary downtime.
This process involves the explicit feedback on
the transition from solutions with moving
parts, to static technology solutions with the
same TMbDSS solutions as discussed
previously. Downtime is also decreased by
the transition to static technologies
Risk management solutions to lower risk are
also managed similarly.
Waiting[edit]
Whenever the product is not in
transportation or being processed, it is
waiting (typically in a queue). In traditional
processes, a large part of an individual
product's life is spent waiting to be worked
on.
Similar to the processes previously described.
Over-production[e dit]
Making more of a product than is required
results in several forms of waste, typically
caused by production in large batches. The
customer's needs often change over the time
it takes to produce a larger batch.
Over-production has been described as the
worst kind of waste.[8]
This waste has been completely eliminated by on demand 3D printing.
Over-processing[edit]
Doing more to a product than is required by
the end-customer results in it taking longer
and costing more to produce. This also
includes using components that are more
precise, complex, expensive or higher quality
than absolutely required.[citation needed]
Also eliminated by 3D printing.
Defects[e dit]
Having to discard or rework a product due to
earlier defective work or components results
in additional cost and delays.
Improve SDLC efficiency, 3D printing process
and BPM KM by processes similar to
processes described previously.
Unused Resources.
Confusion[edit]
Main article: C
onfusion
General uncertainty about the right thing to
do, or absence of documented procedures and
operating statements.
TMbDSS to add(Holmemo, -Q. Holmemo, and
Ingvaldsen 2018)
Self-doubt[e dit]
Writer J im Womack described "thinking you
can't" as the worst form of waste, quoting
Henry Ford's aphorism:
Henry Ford probably said it best when he
noted, "You can think you can achieve
something or you can think you can't and
you will be right.[10]
Conclusion:
We have thus described data mining
algorithms with decision trees for data lake
mining and decision support in Lean A.I to
implement the Vahi Ka Vahi model, in future
work we explore other decision tree models
and extensions of data mining from text
centric mining to a plethora of code, legacy
code, ontologies, scientific paper,
mathematics and media.
References.
50MINUTES.COM. 2015. Improve Your
Business Through Kaizen: Boost Your
Results with Continuous Improvement.
50 Minutes.
Achahchah, Mohamed. 2018. Lean
Transportation Management: Using
Logistics as a Strategic Differentiator.
CRC Press.
———. n.d. “Lean Transportation
Management.” Lean Transportation
Management.
https://doi.org/10.4324/978042949010
1-4.
Anderson, Roger Neeson, Albert Boulanger,
and John A. Johnson. 2008.
Computer-Aided Lean Management for
the Energy Industry. PennWell Books.
Chahal, Hardeep, and N. A. Fayza. 2016. “An
Exploratory Study on Kaizen Muda and
Organisational Sustainability: Patients’
Perspective.” International Journal of
Lean Enterprise Research.
https://doi.org/10.1504/ijler.2016.0782
49.
“Continuous Improvement with Kaizen
Teams.” 2010. Lean for the Public Sector.
https://doi.org/10.1201/b10378-8.
Contributors to Wikimedia projects. 2005.
“Lean Thinking - Wikipedia.” Wikimedia
Foundation, Inc. June 15, 2005.
http://en.wikipedia.org/wiki/Lean_think
ing.
Davis, Jennifer. 2009. “Use of Lean Production
to Reduce Waste When Compounding
Sterile Pharmaceutical Products.”
Hospital Pharmacy.
https://doi.org/10.1310/hpj4411-974.
Eswaramoorthi, M., Mervyn John, C. Arjun
Rajagopal, P. S. S. Prasad, and P. V.
Mohanram. 2010. “Redesigning
Assembly Stations Using Ergonomic
Methods as a Lean Tool.” W
ork 35 (2):
231–40.
George, Michael L., and Mike Tamilio. 2015.
“Why Use Lean Six Sigma to Reduce
Cost?” The Lean Six Sigma Guide to Doing
More with Less.
https://doi.org/10.1002/978111920460
2.ch1.
Hakutsuru, Shuzo, and Kōhei Ueda. 2017.
“Kaizen That Saves Work and Energy.”
Kaizen Teian 2.
https://doi.org/10.1201/978020374973
9-17.
Harrington, H. James, and H. James
Harrington. 2017. “Lean TRIZ.”
https://doi.org/10.1201/978131511687
7.
Hawken, Paul. 2013. “Natural Capitalism.”
https://doi.org/10.4324/978131506575
5.
Hawken, Paul, Amory B. Lovins, Hunter
Lovins, and L. Hunter Lovins. 1999.
Natural Capitalism: Creating the Next
Industrial Revolution. Little Brown &
Company.
Holmemo, Marte D-Q, Marte D. -Q. Holmemo,
and Jonas A. Ingvaldsen. 2018. “Local
Adaption and Central Confusion:
Decentralized Strategies for Public
Service Lean Implementation.” P
ublic
Money & Management.
https://doi.org/10.1080/09540962.201
8.1389493.
Höver, Kai Michael, and Max Mühlhäuser.
2014. “S-BPM-Ont: An Ontology for
Describing and Interchanging S-BPM
Processes.” Lecture Notes in Business
Information Processing.
https://doi.org/10.1007/978-3-319-060
65-1_3.
Hunter Lovins, L., Amory Lovins, and Paul
Hawken. 2007. Natural Capitalism. Little,
Brown.
Jackson, Jennifer, and Lori A. Woeste. 2008.
“Using Lean Six Sigma to Reduce Patient
Wait Times.” Laboratory Medicine.
https://doi.org/10.1309/7uw17nmuet6
m4xfp.
Kale, Vivek. 2016. Enhancing Enterprise
Intelligence: Leveraging ERP, CRM, SCM,
PLM, BPM, and BI. CRC Press.
Kemsley, Sandy. 2015. “Emerging
Technologies in BPM.” M
anagement for
Professionals.
https://doi.org/10.1007/978-3-319-144
30-6_4.
Komus, Ayelt. 2011. “BPM Best Practice –
Erfolgsfaktoren Der
Prozessorientierung.” B
PM Best Practice.
https://doi.org/10.1007/978-3-642-167
25-6_1.
“Lean Thinking, Muda, and the Four Ls.” 2010.
Green Project Management.
https://doi.org/10.1201/ebk143983001
7-14.
Lin, Danny, and Jon Hunter. 2015. “Reduce
the Cost of Complexity.” The Lean Six
Sigma Guide to Doing More with Less.
https://doi.org/10.1002/978111920460
2.ch10.
Lovins, L. Hunter, and L. Hunter Lovins. n.d.
“Natural Capitalism: Path to
Sustainability?” T
he International
Handbook on Environmental Technology
Management.
https://doi.org/10.4337/978184720305
2.00014.
Maurer, Robert. 2012. The Spirit of Kaizen:
Creating Lasting Excellence One Small
Step at a Time: Creating Lasting
Excellence One Small Step at a Time
(EBOOK). McGraw Hill Professional.
McGovern, Kate. 2018a. “How to Get Away
with Muda.” A Public-Sector Journey to
Lean.
https://doi.org/10.4324/978135100824
2-5.
———. 2018b. “Paths through Muri.” A
Public-Sector Journey to Lean.
https://doi.org/10.4324/978135100824
2-10.
Myerson, Paul A. 2016. Lean and Technology:
Working Hand in Hand to Enable and
Energize Your Global Supply Chain. FT
Press.
Nanopoulos, Alexandros, and Werner
Schmidt. 2014. S -BPM ONE -- Scientific
Research: 6th International Conference,
S-BPM ONE 2014, Eichstätt, Germany,
April 22-23, 2014, Proceedings. Springer.
Pries, Kim H., and Jon M. Quigley. 2012.
Reducing Process Costs with Lean, Six
Sigma, and Value Engineering
Techniques. CRC Press.
“The Lean Six Sigma Guide to Doing More
with Less.” 2012.
https://doi.org/10.1002/978111920460
2.
The Promotion of BPM and Lean in the Health
Sector: Main Results. 2018.
Topolsky, Linda. 2017a. “Kaizen Means
Pursuing a Purpose.” Kaizen Teian 2.
https://doi.org/10.1201/978020374973
9-9.
———. 2017b. “Kaizen Requires
Resourcefulness.” Kaizen Teian 2.
https://doi.org/10.1201/978020374973
9-7.
———. n.d. “Basic Concepts of Kaizen.”
Kaizen Teian 2.
https://doi.org/10.1201/978020374973
9-1.
———. n.d. “Principles of Kaizen.” K
aizen
Teian 2.
https://doi.org/10.1201/978020374973
9-6.
———. n.d. “Providing Guidance for Kaizen
Teian Activities — Principles and Rules.”
Kaizen Teian 2.
https://doi.org/10.1201/978020374973
9-12.
Traeger, Dirk H. 1994. “Muda
(Verschwendung).” G
rundgedanken Der
Lean Production.
https://doi.org/10.1007/978-3-663-121
48-0_3.
Vieira, Leandro, Giles Balbinotti, Adriano
Varasquin, and Leila Gontijo. 2012.
“Ergonomics and Kaizen as Strategies for
Competitiveness: A Theoretical and
Practical in an Automotive Industry.”
Work 41 Suppl 1: 1756–62.
“Website.” n.d. Accessed August 8, 2019.
DECISION SUPPORT FOR
E-GOVERNANCE: A TEXT MINING
APPROACH G. Koteswara Rao1 and
Shubhamoy Dey,
https://pdfs.semanticscholar.org/d7fd/0
5902182106759df696dcc059e442f0292
6b.pdf.
Wiesler, Beatrix. 2018. “Merck: Agile BPM
Governance – BPM-Unterstützte
ERP-Rollouts.” Praxisbuch
Prozessmanagement.
https://doi.org/10.3139/978344645243
5.010.