Low Signal Detection

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Low Signal Detec/on © North Delta College 2015 Mathema’cs applied to Business Theory 1 2 CASE STUDIES ON LOGISTICS AND ITS BOTTLENECKS

Transcript of Low Signal Detection

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Low  Signal  Detec/on        

©  North  Delta  College  2015    

Mathema'cs  applied  to  Business  Theory   1  

2   CASE   STUDIES   ON   LOGISTICS   AND   ITS  BOTTLENECKS  

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INTRODUCTION  

Low  Signal  Detec/on  is  concerned  about  describing  key  crisis  situa/ons  occurring  in  the  art  of  the  Logis/cian.  Logis/cs  generally  deals  with  the  moving  of  the  physical  goods  necessary  to  fulfil  an  organisa/on’s  needs.  As  such  it  has  one  of  the  oldest  

corpus  of  techniques  in  any  branch  of  business  management.      

We  will  present  2  case  studies  showing  a  breakdown  origina/ng  in  a  poor  or  incomplete  logis/cs  set  up  and  demonstrate  how  to  solve  them.  

   The  reader  will  get  the  tools  to  re-­‐ques/on  his  own  logis/cs  needs.  

   So,  Welcome,  Ladies  and  Gentlemen  to  Low  Signal  Detec/on,  where  your  Logis/cs  

and  Supply-­‐Chain  Understanding  will  be  taken  to  new  dimensions  and  your  business  imagina/on  into  a  mind-­‐blowing  journey.    

.      Mathema'cs  applied  to  Business  Theory   2  

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SUMMARY  

Mathema'cs  applied  to  Business  Theory   3  

Part  1:  What  is  Logis/cs  all  about?  A)  Defini/on  of  Logis/cs  B)  Logis/cs  in  Businesses  C)  Logis/cs  MoYos    Part  2:  Case  Study  1:  Processes  BoYlenecks  A)  The  Situa/on  B)  An  Adventure  C)  The  Crisis  D)  Consequences  E)  How  this  could  have  been  solved    Part  3:  Case  Study  2:  Safety  Stock  A)  The  Situa/on  B)  Normal  Daily  Rou/ne  C)  The  Crisis  D)  Consequences  E)  How  this  could  have  been  solved    Final  Statement  

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PART  1:  WHAT  IS  LOGISTICS  ALL  ABOUT?      

Logis/cs   is   the   art   of   displacing   products,   people   or   equipment   to   fulfil   an  organisa/on’s  needs,  whether  it  is  weapons  for  an  army,  or  taking  businesses’  products   from   factory   to   customers,   or   organising   holidays   for   a   group   of   10  people…      Logis/cs   exists   since   at   least   An/quity   and   started   probably  with  Warfare   to  support  supply  of  arms  to  the  fighters  on  the  baYleground.        Among   others,   Logis/cs   concerns   itself   with   transporta/on,   storage   in  Warehouses,   sourcing   supplies,   Time  management….   It   is   about  making   sure  your   organisa/on’s   physical   movement   of   goods   follows   the   organisa/on’s  needs  and  objec/ves.  

Mathema'cs  applied  to  Business  Theory   4  

Defini/on  of  Logis/cs  

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Logis/cs  in  Businesses    

Most   of   businesses   selling   physical   goods   have   a   Logis/cs   department.   This  department  is  generally  concerned  about  transpor/ng  supplies  from  suppliers  to  the  business’   factories   and   warehouses,   managing   stocks   in   Warehouses   and   then  transpor/ng  finished  goods  to  customers.            In  modern  days,   Logis/cs   is  part  of  a  more  general   framework  called  Supply-­‐Chain  Management  concerned  with   the   full   chain  of  product  flow  from  original   suppliers  un/l  delivery  to  customer.  We  will  plunge  into  this  fascina/ng  subject  in  subsequent  presenta/ons.              

Mathema'cs  applied  to  Business  Theory   5  

PART  1:  WHAT  IS  LOGISTICS  ALL  ABOUT?      

Picture  1:  Logis/cs  in  Businesses  

Picture  2:  Logis/cs  &  Supply  Chain   Factory  in  

Birmingham  Warehouse  in  London  Area  

Warehouse  in  Dubai  

Customer  in  Ras-­‐Al-­‐Khaimah  

Interna/onal  Transporta/on:  Ship  Truck   Truck  

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Logis/cs  MoYos  

The  most  famous  moYo  in  Logis/cs  is  the  well  known:  “The  right  Product  at  the  right  /me  in  the  right  place”              In   the   following   2   case   studies   we   will   show   how   this   principle   gets   challenged   in   real  business  situa/ons  where:      In   case   study   1,   profitability   takes   over   true   logis/cs   needs   by   pueng   speed   as   the  ul/mate  principle  of  a  logis/cian  In  case  study  2,  a  small  business  where  the  principles  of  Lean  Inventory  have  not  yet  been  implemented   and   the   CEO   and   his   organisa/on   are   overtaken   by   a   sudden   surge   in  demand.        

PART  1:  WHAT  IS  LOGISTICS  ALL  ABOUT?      

Picture  3:  Logis/cs  MoYo   11:50 AM SHELF  A,  

RACK  18  B  

Case  Study   Objec/ves  

Logis/cs  BoYlenecks   Show  an  erroneous  Logis/cs  Principle  

Safety  Stock   Why  Lean  Inventory  makes  sense  

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Dutch   explora/on   missions   were   the   first   to   colonise   Mars   in   November   2118  prior   even   to   the  Americans.   2   scien/fic   teams   landed   on   the   Red   planet   at   11  days   interval,   with   liYle   inter-­‐connec/on   except   a   small   communica/on   device  nick-­‐named  Denise  Soren  Layatollah.              Team   A   took   its   headquarters   in   the   Mar/n   Valley   and   very   quickly   built   a  temporary  air  base   in  order  first   to  occupy  properly   the  given  environment  and  then  start  developing  their  project-­‐mission:  “Earthifying  Mars.”      Team  B  arrived   few   thousand  miles  North  and   launched   their  own  out  of   space  Robinsonade   through   more   complex   socio-­‐biological   experimenta/ons,   in  par/cular  ques/oning  the   long  Term  survival  of  both  missions  on  such  a  remote  loca/on    

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The  Landscape    

PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Picture  4:  Mars    

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Logis/cs  appears    

In   order   to   communicate   properly,   Team   A   had   set   up   Denise   Soren   Layatollah   or   (DSL).   The  objec/ves  were  two-­‐folds:  First,  remain  in  contact  with  Team  B  Second,  support  scien/fic  needs  for  both  Teams.      The  set  up  of  DSL  was  as  follows:      2  small  probes  were  sent  every  day  from  Team  A  near  the  Southern  pole  along  2  geodesic  paths.  The  first  path  linked  back  to  Junc/on  Point  “Ether”  near  Team  B  close  to  the  Equator.  The  second  path  followed  diverse  experiments  i/neraries  on  the  Red  planet.            Team  B  had  on  the  other  hand  the  responsibility  to  provide  Fresh  Food  for  both  missions  in  the  long  term.   In   this   regard,   another   probe   was   sent   at   Junc/on   Point   “Ether”   in   order   to   drop   food,  material  and  other  equipment.  One  of   the  probes   from  Team  A  had  to  collect   them  at   this   same  Junc/on  point.    

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PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Picture  5:  Junc/on  Point  Ether  

Team  B  Territory   Team  A  Research  zone  Junc/on  Point  Ether  

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2  Logis/cs  Processes    

We  have  therefore  2  different  Logis/cs  processes  mee/ng  at  a  junc/on  point:  Process  A  star/ng  with  Team  A  and  Process  B  star/ng  with  Team  B.  

         

     

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PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Process   A   is   a   pick   process   with   a   2   hours   logis/cs   cycle,  which   means   the   pick   has   to   happen   within   2   hours   of  reaching   the   Junc/on  Point,   if  not   the  process  owner  has   to  move  the  probe  to  another  loca/on.      Process   B   is   a   drop   process,  which   is   /med,  meaning   items  have  to  be  dropped  as  fast  as  possible.      Obviously   for   the  whole   opera/on   to  work   properly,   at   the  junc/on  point,   process  B  has   to  occur  before  process  A.   i.e.  the  item  has  to  be  dropped  at  junc/on  point  before  it  can  be  picked.    

Picture  6:  The  2  Logis/cs  Processes  

Process  A   Process  B  

Ether  

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On  a  normal  day    

In  normal  /mes,  no  problem  occurs.  Furthermore,  both  processes  can  be  done   fast  because   they  have  been  engineered  so.      Over/me,   both  Dutch  missions   are   gaining   confidence   as   everything   seems   streamlined,   and   the  DSL  concept  of  exchange  appears  as  the  perfect  solu/on  to  the  Mars  colonisa/on  riddle.      Very  cleverly,  the  colons  have  kept  monetary  transac/ons  alive  and  the  whole  ecosystem  follows  a  free  liberal  economy.  Everything  has  to  be  paid  for,  even  the  transac/ons  on  the  DSL.                The  managers  for  both  processes  A  and  B  quickly  realise  that  in  order  to  make  more  profit  on  the  DSL  speed  is  of  the  essence.  The  faster  the  clerks  do  their  job,  the  faster  the  probes  move,  the  more  money  the  managers  make.  Thus  both  Teams  have  a  Logis/cs  MoYo:  “Speed  is  King”.         Mathema'cs  applied  to  Business  Theory   10  

PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Picture  7:  Free  Liberal  Economy  

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A  mission  cri/cal  day    

11  April  2119  is  a  crucial  day  for  both  teams.  A  fundamental  piece  of  equipment  is  going  to  be  exchanged  through  the  DSL.      However  this  is  precisely  the  day  when  the  crisis  happens.  For  some  reasons,  the  probe  of  process  A  is  one  hour  ahead  of  /me  and  the  probe  of  process  B  is  one  hour  late.  Because  A  is  /med  differently  and  has  a  window  of  only  2  hours  to  do  its  job,  it  leaves  the  junc/on  point  without  picking  the  item  causing  the  item  to  be  labelled  as  missing.        

 

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PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Picture  8:  Missing  the  /me  slot  

Time  

Process  A  

Process  B  

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Consequences    

Both  teams  think  the  equipment  has  been  lost  on  the  surface  of  Mars.  Both  Manager  A  and  Manager  B  are  unable  to  find  the  equipment  and  thoroughly  blame  the  other  person  as  responsible  of  the  mishandling.      A  major   crisis   hits   the   opera/ons   of   the   expedi/on   jeopardising   almost   its  survival  on  the  alien  planet.      It   takes   months   to   the   colons   to   overcome   what   at   the   origin   was   only   a  small  mistake.        

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CEO  

PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

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Causes  of  the  crisis    

Let  us  now  ask  ourselves  what  are   the  causes  of   the  crisis.   It   is   indeed   linked  with  /me  management.            The   fact   that  probe  B  was  1  hour   late   is   certainly   a  managerial   error  but   looking  at   the  deep  root  causes  of  it,  one  sees  there  were  plenty  of  jus/fiable  reasons  why  it  happened.  New   environment,   uncertain   clima/c   condi/ons,   unknown   unknowns   etc…   Something  which  can  happen  to  any  business  on  Earth  too  during  major  external  changes.      More   serious,   is   the   Logis/cs   logic   of   team  A…  which   ar/ficially   increased   the   speed   of  probe  A   to  answer  profitability  needs.  They  were   in  known  business   territory  and  could  have  avoided  the  whole  blunder.      They  would  never  have  imagined  that  in  business  one  can  be  too  much  in  advance…      

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PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Process   Real  cause  of  Time  Mismanagement  

A   Wrong  Logis/cs  Logic  

B   Unknown  Unknowns  

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Solu/on  to  Case  study  1    

     

Mathema'cs  applied  to  Business  Theory   14  

We  see  therefore  that  in  the  Logis/cs  realm,  speed  is  not  necessarily  an  indicator  of  efficiency.      Timeliness  seems  more  appropriate.  There  is  a  reason  why  the  brain  behind  a  business  process  has  precisely  given  that  window  of  /me  to  the  process  and  no  other.              Therefore  speed  is  not  the  answer  to  Logis/cs.      Right  /me,  right  place,  right  product.      What  happened  with  /me  (/me  mismatch)  here  in  this  case  study  happens  very  oqen  with  products  with  real  businesses  on  planet  Earth  precisely  because  speed  is  wrongly  considered  as  the  essence  of  Logis/cs  (or  Opera/ons  Management  in  more  general):  i.e.  The  customer  receives  the  wrong  product.          

PART  2:  CASE  STUDY  1:  Processes  BoYlenecks        

Picture  9:  Timeliness  vs.  Speed   Timeliness   Speed  

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A  rum  factory  in  Jamaica  

We  are  in  a  small  entrepreneurial  rum  factory  on  the  Jamaican  coast  run  as  a  one-­‐man-­‐show  by  Dr  Grunrelt  with   limited   resources   but   huge   turnover.   The   company   sells   a  niche   product   to   very   faithful   clients   all   over   the   West   Indies   up   to   the   Bermuda  Triangle.              Though   the   customer   base   is   strong,   the   organisa/on   is   very   open   &   dynamic,  expanding  to  new  markets.  Moreover,  its  business  systems  are  very  simple  in  order  to  remain   flexible   and   respond   to   the   very   compe//ve   and   changing   business  environment.      Dr   Grunrelt   is   proud   of   his   achievements   but   some/mes   wonder   how   long   he   can  sustain  it.      

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PART  3:  CASE  STUDY  2:  Safety  Stock  

Picture  10:  Caribbean  

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Normal  Daily  Rou/ne  

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The  Business  processes   are   in   fact   very  basic   in   the   factory.  BoYles   come   in  every  morning.   4  raw,  purchased  ingredients  are  used  to  elaborate  the  final  product  and  are  mixed  first  and  then  filled  in  the  boYles,  which  are  aqerwards  sealed  and  sold  as  it  is.            Among   the   4   raw   ingredients,   there   is   one   key   element,  which   gives   the   “kick”   to   the  whole  product  and  is  called  the  “elixir”  by  the  workers.  It  is  the  Safety  Stock  of  the  Elixir,  which  is  our  main  centre  of  aYen/on  in  this  case  study.            What   is   Safety   Stock?   It   is   the   minimal   stock   one   keeps   in   the   factory   even   if   the   rest   gets  depleted.   It   should  be   large   enough   to   sustain   sudden   surges   of   demand  as  well   as   not   over-­‐cau/ous  as  storage  costs  money.      Dr  Grunrelt  uses  a  complex  algorithm  to  calculate  it  based  on  es/mated  demand.    

PART  3:  CASE  STUDY  2:  Safety  Stock  

Picture  11:  BoYles  

Picture  12:  Safety  Stock   Safety  Stock  

Stock  

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The  Crisis  

One  summer  day,  during  a  peak  demand  period,  the  factory  suddenly  runs  out  of  Elixir  and  no  more  boYles  can  be  produced.  Everything  has  to  stop.                  Dr   Grunrelt   is   furious.   He   can   see   right   now   the   impact   this   is   going   to   have   on   his   small  business:   Unsa/sfied   customers,   Loss   of   market   share,   boos/ng   compe/tors   and   more  seriously  reputa/on  damage.      He  decides  to  inves/gate  what  has  happened  in  order  to  answer  why  it  has  happened.  

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PART  3:  CASE  STUDY  2:  Safety  Stock  

Picture  13:  Stock  =  0  

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Mathema'cs  applied  to  Business  Theory   18  

Root  cause  analysis  

How   come   despite   the   Safety   Stock,   the   stock   of   Elixir   has   fully   vanished?   He   knows  excessive  demand  is  not  an  excuse  as  his  Safety  stock  is  based  on  forecasted  demand.      He   summons   the  Logis/cs  manager   to  give   some  explana/on  on  his   stock  management.  The  truth  suddenly  comes  out.      The  Stock  of  Elixir  is  in  normal  /me  far  too  high  as  it  far  exceeds  demand.  The  warehouse  manager   cannot  keep   control  of   it   and  many  employees  knowing   it   serve   themselves   in  the   stock   for   their   own   personal   use.   Therefore   although   high,   the   real   stock   is   s/ll  significantly   lower  than  the  one   indicated   in  the  Excel  sheets  and  explains  why  the  crisis  happened   in   the   first   place.   Furthermore,   due   to   excessive   stocks   in   regular   days,   the  warehouse  manager  is  at  pain  at  monitoring  who  does  what  on  the  shop  floor  and  if  the  stock  in  hand  matches  with  the  one  on  the  IT  system.        What  is  the  solu/on  to  this  new  riddle?    

PART  3:  CASE  STUDY  2:  Safety  Stock  

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How  this  could  have  been  solved  

One  good  solu/on  here  would  be  to  switch  to  Lean  Inventory  and  the  Japanese  Kanban  method.  2  Principles  to  respect  here:      Keep  Safety  Stocks  to  their  lowest  levels  in  order  to  monitor  physically  (even  visually)  the  Stock  of  Elixir  Replenish  stocks  each  /me  there  is  a  customer  order  and  only  in  that  case.      Although   this   is   not   the   ul/mate   answer   to   the   crisis,   Lean   Inventory   and   Kanban   are   proven  methods.  Furthermore  it  will  avoid  the  problem  of  having  too  huge  inventory  to  be  monitored  by  a  small  organisa/on  and  employee  chea/ng.              Because  stocks  follow  demand  to  the  leYer  with  minimal  depth,  the  warehouse  manager  should  be  able  to  control  them  far  beYer  as  their  size  will  never  go  off  the  roof.         Mathema'cs  applied  to  Business  Theory   19  

PART  3:  CASE  STUDY  2:  Safety  Stock  

Picture  14:  Lean  Inventory   Ship  

Water  =  Stock  

Rocks  =  Demand  

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Final  Statement    

We  have  therefore  seen  Logis/cs  in  prac/cal  situa/ons.      

How  at  the  end,  the  whole  problem  of  Logis/cs  is  concerned  about  detec/ng  the  opera/onal  obstacles  linked  with  transpor/ng  goods,  storage  or  just  physical  movement  with  a  monetary  

purpose.              

The  2  case  studies  demonstrated  2  situa/ons  where  boYlenecks  or  crisis  situa/ons  appear,  one  due  to  excess  profit  op/misa/on,  the  second  to  a  lack  of  Lean  Management.  

   Logis/cs  requires  therefore  common  sense  and  some  basic  prac/cal  guidelines  …  too  oqen  

forgoYen  by  many  real-­‐life  businesses.  These  2  case  studies  were  presented  to  show  case  how  and  why  simple  principles  can  be  totally  missed.  

.       Mathema'cs  applied  to  Business  Theory   20  

FINAL  STATEMENT  

Process  apparently  fully  designed  and  streamlined  

Looking  closely:  Small  perturba/ons  which  can  clog  up  the  whole  system  

Picture  15:  Low  Signal  Detec/on