16 - ryoma shiratsuchi & keita asaine_23 tocpa_us_21-22 march 2016

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  • 8/18/2019 16 - Ryoma Shiratsuchi & Keita Asaine_23 TOCPA_US_21-22 March 2016

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    23rd International Conference of the

    TOC Practitioners Alliance - TOCPA

    www.tocpractice.com 21-22 March, 201, Tennessee, !"A

    If CCPM is a solution, then

    what is the problem?

    Ryoma Shiratsuchi & Keita Asaine, Juntos Consulting,Japan

    March, 2016

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    Ryoma Shiratsuchi

    Ryoma Shiratsuchi  is the Co-President of Juntos Consulting Inc.,

    and has over 10 years of TOC experience as practitioner, trainer 

    and consultant.Since 2007, he has been working with >15 companies for 

    implementing TOC logistical solutions – MTO, MTA and CCPM.

    In 2008-2011, he was a faculty member of Goldratt Schools, and 

    participated in writing Goldratt Schools book – “TOC for Production 

    Management (2010)” 

    He taught Operations Management and Project Management as a 

    lecturer at Education & Research Center of Manufacturing, Kyushu 

    University.

    He is also one of the Founding members of TOCPA – TOC 

    Practitioners Alliance.

    [email protected]

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    Dr. Keita Asaine

    Dr. Keita Asaine  is the Co-President of Juntos Consulting Inc., and a CEO of Juntos Co. Ltd. He has over 10 years of TOC experience as practitioner, trainer and consultant.

    Keita started his career at Juntos working in the Bridge Design Department, and gradually engaged in Sales, too.

    His engagement with TOC started in 2004 as an internal consultant. Since 2007, he has been working with many companies for implementing TOC logistical solutions – MTO, MTA and CCPM.

    In 2008-2011, he was a faculty member of Goldratt Schools.He has a Ph.D. in Engineering from Kyushu Institute of Technology (KIT) in Japan. He teaches TOC Thinking Processes, Production management and Project management for Masters program at KIT.

    He is also one of the Founding members of TOCPA – TOC Practitioners Alliance. [email protected]

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    Aen!a

    Insights into Multitasking

    Case #1 – Big Single IT Project

    Case #2 – Mold Manufacturing

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    "ac#roun!

    • There are some discussions regarding the boundaries of CCPM.

    • Some practitioners raised issues about applying CCPM into

    Requirement Definition phase in IT projects.

    • Recently, we can see more studies for integrating CCPM andother methods such as KANBAN.

    •   “What is CCPM?”

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    "ac# to the "asics$

    “If Injection is a solution thenwhat is the problem?”

    Different types of the problem requiredifferent applications of the solution…

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    Deman! (ariability

    • High WIP makes people multitasking.

    • High WIP happens when bigger work load (demand) is imposed

    on available capacity.

    • Demand has variability. It causes load fluctuation even if the load

    was leveled in planning.

    • It is important to reduce demand variability as much as possible.However, we can not eliminate but have to absorb and manage it.

    Load (Demand) 

    Capacity 

    Time

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    • Project/Feeding Buffers absorb variability INSIDE the project.

    • However, the reality shows that there are more situationssuffering from variability caused by factors OUTSIDE the project.

    • Inserting Project/Feeding Buffers is NOT enough to immunize

    against such disruptions.

    • It is important to know the source of variability. For that, we haveto understand how multitasking occurs in the environment.

    )he Role of Pro%ect*+ee!in "uffers

    Pro#ect $%ffer

    &eedin'

    $%ffer

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    +our )ypes of Multitas#in

    (1) Conflictin' wor*s within same phase

    Shortwork

    1

    (3) Conflictin' wor*s in different phases (+) Pro#ect wor* s. Concept wor*

    PROJECT

    Shortwork

    2

    (2) Pro#ect wor* s. "hort wor*s

    PO/CTO"T/AM 1

    PO/CTO"T/AM 2

    PO/CTO"T/AM 1

    PO/CTO"T/AM 2

    PROJECT 1

    Concept work PROJECT 2

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    Manain (ariability

    • We can see multitasking as a resulting compromised actioncaused by variability.

    • Flow is characterized by demand and supply. Both of them havevariability. Managing flow requires managing variability.

    • Variability can be buffered by:

    ▪Time

    ▪ Stock

    ▪ Capacity

    • Capacity Buffer is established by limiting WIP (reduce & control).

    ▪ Note: Capacity Buffer is a real protective capacity. The term usedhere is different from the use of the term in multi-project CCPM.

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    Aen!a

    Insights into Multitasking

    Case #1 – Big Single IT Project

    Case #2 – Mold Manufacturing

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    "i Sinle I) Pro%ect

    Project Overview

    • Project Scope: Re-building IT project for Production area

    • Combination with Package and Scratch Development

    • Development team structure:

    ▪ External venders for Package Development

    ▪ Internal resources for Scratch Development

    • Area of implementing CCPM:

    From Detail Design (DD) to Integration Test (IT)▪ Planned project duration was 6 months

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    riinal Pro%ect Plan

    Task1 Task2 Task3Resource X

    Resource Y

    Resource Z

    Detail Design

    DD!

    Co"ing

    Co"ing!

    #nit Test

    #T!

    $ntegration Test

    $T!

    Phase

    &eat%re

    DD: WS-A Coding: WS-A UT: WS-A%orkstrea& '

    DD: WS-B Coding: WS-B UT: WS-B%orkstrea& (

    DD: WS-C Coding: WS-C UT: WS-C%orkstrea& C

    DD: WS-D Coding: WS-D UT: WS-D%orkstrea& D

    IntegrationTest(IT)

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    -ow Multitas#in ccurs?

    Pro'lesissues occur duringe&ecution of tasks

    (Specification adjustent) Supporting resources*

    Pro'lesissues occur ore and ore

    Task Managers ha+ean, issues at the

    sae tie(((($igh "IP on TMs))))

    Task Managersiediatel, tr, to

    resol+e issues whenha+ing pro'les

    Multitasking of Task Managers

    -ela,ed issueresolution

    Tasks started too earl,

    ('efore issues are resol+ed*and progressed with

    holding pro'les

    !eed to show progressStanding idle is B.-

    %i&ed Schedule

    Specificationadjustent occurs

    suddenl,

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    Solution for Problem

    • WIP limits (Workstream level & Task level) based oncapacity of Task Managers

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    or#stream /e'el IP Re!uction

    Plannin0 Re!uce )as# Mr1s IP

    %$P Task!

    on Task )anager

    %$P %orkstrea&!

    on Task )anager

    Original

    (*ig+ %$P Plan)1, Tasks - T) 1.2 %/ - T)

    0ow %$P Plan Tasks - T) 1 %/ - T)

    Original Plan Resource ConcentrationResource Concentration

    %orkstrea& '

    %orkstrea& (

    P+ase

    DD

    Co"ing

    Test

    DD

    Co"ing

    Test

    eature

    Duration Peo4le Duration Peo4le

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    or#stream /e'el IP Re!uction

    Plannin0 Con'ert to /ow IP Plan

    DD: WS-A Coding: WS-A UT: WS-A%orkstrea& '

    DD: WS-B Coding: WS-B UT: WS-B%orkstrea& (

    DD: WS-C Coding: WS-C UT: WS-C%orkstrea& C

    DD: WS-D Coding: WS-D UT: WS-D%orkstrea& D

    Time

    DD:WS-A

    Coding:WS-A

    UT:WS-A

    %orkstrea& '

    DD:WS-B

    Coding:WS-B

    UT:WS-B

    %orkstrea& (

    DD:WS-C

    Coding:WS-C

    UT:WS-C

    %orkstrea& C

    DD:

    WS-D

    Coding:

    WS-D

    UT:

    WS-D%orkstrea& D

    Time

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    Results

    • Original planned project duration: 6 months

    • Actual project duration: 5 months(Project cycle time reduced by 17%)

    Comments from PMO:• All Task Managers were able to allocate resources based on priority.• Problems/issues were resolved quickly by the managers.• In consequence, waiting time was reduced.

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    Aen!a

    Insights into Multitasking

    Case #1 – Big Single IT Project

    Case #2 – Mold Manufacturing

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    Mol! Manufacturin

    Fixed side

    Moveable side

    PartsProcessing

    Assembly

    ClosedOpen

     Moldeditem

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    Solution for Problem

    • WIP limits (Workstream level & Project level) withdedicated capacity for short works

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    3 mechanisms for maintaining Low WIP to avoid multitasking:

    • Organization Level – Divide resources to Project pipeline and Short work pipeline

    • Project Level – Limit WIP by phase, and release projects by one-out & one-in

    •Workstream Level – Reduce workstream WIP in project planning

    Project Pipeline

     Short Work PipelineProject

    ShortWork

    One-out

    One-in

    Parts ProcessingPhase

     Assembly Phase

    Fixed side

    Moveable side

    Slide etc.

    Workstream 1

    Workstream 2

    Workstream 3

    Fixed sideMoveable

    side

    Slide etc.

    Re!uce an! Control IP

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    Original schedule(Date-driven)

    Resolved resource

    contention(but delayed)

    Low WIP & resourceconcentrated schedule

    or#stream /e'el IP Re!uction

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    WIQ1

    FK1

    FK2

    WIQ2

    Project

    CustomerAssessment

    Project completed

    OK

    Adjustment

    NG

    Value

    To Short work team

    WIQ3

    Shortwork

    Short work completed

    WIP – Work in ProcessWIQ – Work in Queue

    One-out

    One-inOne-outOne-in

    One-out

    One-in

    WIP = 5FK

    Parts ProcessingPhase

     Short work 

     Assembly Phase

    Pro%ect /e'el IP Re!uction

    Phase3base! Release Control

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    Manain Short or#s

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    Results

    Before Target After(2015/7-12)

    % Var.

    Overall Cycle Time 60d 45d 50d 17%↓

    Production Cycle Time 22d 11d 14d 36%↓

    Throughput 4/month 5.3/month 5.3/month 33%↑

    36%reduced

    Days

    Production Cycle Time

    22d 14

    d

    17%reduced

    Days

    Overall Cycle Time

    60d

    50d

    33%increased

    # of projects completed per month

    Throughput

    45.3

    *The above was achieved although average project size was 26% bigger than baseline.

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    Summary

    • Solution is for solving the problem. Different types of the problemrequire different applications of the solution.

    • CCPM is the solution that addresses the multitasking problem.There are four types of multitasking that determine the way ofapplying CCPM into the environment.

    • Demand variability causes High WIP situation and makes people

    multitasking.

    • Project/Feeding Buffers are not for absorbing the variabilityoutside the project. If the organization suffers from it, anotherbuffer is required.

    • Capacity Buffer can be established by limiting WIP. It protects theproject performance from the demand variability.