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SUPPLY CHAIN
MANAGEMENT AT WORLD
CO. LTD
Submitted by: Group 9
Santosh Mishra – PGP10228
Shweta Kumari- PGP10232
Srishti Singh- PGP10236
Tanay Loya- PGP10240
Chirag Anil Ved- PGP102441
WORLD CO. LTD.
World Co., Ltd., is a
leading Japanese
fashion apparel
company established in
1959
Number of Brands sold-
40
No of Shops – 7000
-Maintains separate groups for
each of the brand
-Operate individually
The information system about sales
and inventory is continuously
updated with a day’s time lag
Product
variety kept in
the store are
limited to 1-2
to showcase as
unique product
Japanese
women
required less
size variety
than US
2
SPARCS
Super Production Apparel Retail
Customer
Satisfaction
SPARCS was introduced in
1992 by Terai
In 1997 Terai became the
president of the company
and transferred the SPARCS
system to all other SPA’s of
World
SPARCS became
basis for
managing supply
chain of all SPA
products at
World
3
DEMAND FORECASTING
Demand
forecasting
PDCA
Accuracy check
Determination
of error and its
cause
Incorporate
learning in
future forecast
Demand
forecasting
Initial
Forecasting
Updating
Initial Forecast 4
AGGREGATE DEMAND FORECASTING
Based on two sets of
calculations
Distribution side
Derived from MMS
(Market Management
System)
-Historical sales data,
growth rate
-seasonality
-changes in micro-
economic conditions –
existing stores
Foot traffic, target
customer, competitive
brands in location – new
store
Category side
Chain wise forecast for
particular product
category on chain wide
sales plan and product
features
Chain wide sales plan –
historical data, market
trend and advertising
expenses
5
SALES-STOCK-ORDER
6
OBERMEYER METHOD
Deriving SKU-Level Forecasts
Number of SKUs = 400
As per ABCD rule that Top 10% of SKU represent 40% of sales
Demand Forecast for an “A” SKU =
(220000 *40%)/10%*400 = 2200 UNITS/CHAIN/PERIOD/A-
SKU
7
HIGH ACCURACY DATA AND RIGHT LEVEL
OF AGGREGATION
Lean Management focuses on collecting and using only required data
Continuous work of Planning teams will focus on obtaining the right level of accuracy for the purpose
Focus the right level of Aggregation
World recorded data on
store/SKU(item/size/color
by store) level
Inventory and material
movement was captured
by the system
Data was available with
a lag of one day and was
easily downloadable
Close to 100% data
accuracy during regular
selling days, but accuracy
was compromised twice a
year during the annual
sales
Gross data error- 20
pieces per 2000 pieces
per store (1%)
8
ROLES AND RESPONSIBILITIES FOR
EXECUTION OF PROCESSES
• Versatile workers on the production
line with ability to perform
• Small batch sizes in company to
perform different operations
• Workers were compensated well for
versatility and overtime
World
co. ltd
case:
9
BOTTOM UP FEEDBACK LOOP AND SHORT
INTERVAL CONTROLS
This helps improve accuracy of the plan.
Demand characteristics including actual demand, change in consumer buying behaviour
and external market factors need to be constantly fed as inputs to the Planning process.
If the plan cannot be adhered to by the shop floor or is not used, the Planning team needs
to understand why and correct the Planning process appropriately
10
ACCURATE RESPONSE
Accurate response
at World was
captured in three
steps
Materials
Preparation
First Order
Quantity
Replenishment
Quantity
11
VISUAL MANAGEMENT FOR REVIEW AND
REPORTING
Lean advocates that the
presentation of data and
information at review
meetings and for reporting
purposes be done visually at
the meeting venue for better
impact and faster decision
making
In World Co. Ltd. Case:
Employees used
spreadsheets to
make graphs and
represent
information
More advanced
software could be
used to gain
better insights
12
Thank you
13

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Group9 supply chain management at world watch co

  • 1. SUPPLY CHAIN MANAGEMENT AT WORLD CO. LTD Submitted by: Group 9 Santosh Mishra – PGP10228 Shweta Kumari- PGP10232 Srishti Singh- PGP10236 Tanay Loya- PGP10240 Chirag Anil Ved- PGP102441
  • 2. WORLD CO. LTD. World Co., Ltd., is a leading Japanese fashion apparel company established in 1959 Number of Brands sold- 40 No of Shops – 7000 -Maintains separate groups for each of the brand -Operate individually The information system about sales and inventory is continuously updated with a day’s time lag Product variety kept in the store are limited to 1-2 to showcase as unique product Japanese women required less size variety than US 2
  • 3. SPARCS Super Production Apparel Retail Customer Satisfaction SPARCS was introduced in 1992 by Terai In 1997 Terai became the president of the company and transferred the SPARCS system to all other SPA’s of World SPARCS became basis for managing supply chain of all SPA products at World 3
  • 4. DEMAND FORECASTING Demand forecasting PDCA Accuracy check Determination of error and its cause Incorporate learning in future forecast Demand forecasting Initial Forecasting Updating Initial Forecast 4
  • 5. AGGREGATE DEMAND FORECASTING Based on two sets of calculations Distribution side Derived from MMS (Market Management System) -Historical sales data, growth rate -seasonality -changes in micro- economic conditions – existing stores Foot traffic, target customer, competitive brands in location – new store Category side Chain wise forecast for particular product category on chain wide sales plan and product features Chain wide sales plan – historical data, market trend and advertising expenses 5
  • 7. OBERMEYER METHOD Deriving SKU-Level Forecasts Number of SKUs = 400 As per ABCD rule that Top 10% of SKU represent 40% of sales Demand Forecast for an “A” SKU = (220000 *40%)/10%*400 = 2200 UNITS/CHAIN/PERIOD/A- SKU 7
  • 8. HIGH ACCURACY DATA AND RIGHT LEVEL OF AGGREGATION Lean Management focuses on collecting and using only required data Continuous work of Planning teams will focus on obtaining the right level of accuracy for the purpose Focus the right level of Aggregation World recorded data on store/SKU(item/size/color by store) level Inventory and material movement was captured by the system Data was available with a lag of one day and was easily downloadable Close to 100% data accuracy during regular selling days, but accuracy was compromised twice a year during the annual sales Gross data error- 20 pieces per 2000 pieces per store (1%) 8
  • 9. ROLES AND RESPONSIBILITIES FOR EXECUTION OF PROCESSES • Versatile workers on the production line with ability to perform • Small batch sizes in company to perform different operations • Workers were compensated well for versatility and overtime World co. ltd case: 9
  • 10. BOTTOM UP FEEDBACK LOOP AND SHORT INTERVAL CONTROLS This helps improve accuracy of the plan. Demand characteristics including actual demand, change in consumer buying behaviour and external market factors need to be constantly fed as inputs to the Planning process. If the plan cannot be adhered to by the shop floor or is not used, the Planning team needs to understand why and correct the Planning process appropriately 10
  • 11. ACCURATE RESPONSE Accurate response at World was captured in three steps Materials Preparation First Order Quantity Replenishment Quantity 11
  • 12. VISUAL MANAGEMENT FOR REVIEW AND REPORTING Lean advocates that the presentation of data and information at review meetings and for reporting purposes be done visually at the meeting venue for better impact and faster decision making In World Co. Ltd. Case: Employees used spreadsheets to make graphs and represent information More advanced software could be used to gain better insights 12