ṫ㎎㫛 Partner
2008. 10. 31SCM ㏒☎㟯
㏒☎㟯
㏒☎㟯
㏒☎㟯
(ⳮⱺ▚⪯▖ᴪṦ
ⳮⱺ▚⪯▖ᴪṦ
ⳮⱺ▚⪯▖ᴪṦ
ⳮⱺ▚⪯▖ᴪṦ ⷻ⟖Ⱖᵆ
ⷻ⟖Ⱖᵆ
ⷻ⟖Ⱖᵆ
ⷻ⟖Ⱖᵆ)
SCM
㦮
㦮 㩫㦮
㦮
㦮
㩫㦮
㩫㦮
㩫㦮
Issues &
䟊ἆ
䟊ἆ
䟊ἆ
䟊ἆ 㞞
㞞
㞞
㞞
SCM Solution Overview
ᾓㄒ
ᾓㄒ
ᾓㄒ
ᾓㄒ
A.T. Kearney 48/00000/Production 3 KTA-0331/ 2008-10-22 /YC SCM ⱂ ⳿ⱂ
㨂䢲㣿
㨂䢲㣿
㨂䢲㣿
㨂䢲㣿 & 䛞
䛞
䛞
䛞
㩫⽊ / Ἒ䣣 / 䢲☯ 䐋䞿
㩫⽊
㩫⽊
㩫⽊
㩫⽊ / Ἒ䣣
Ἒ䣣
Ἒ䣣
Ἒ䣣 / 䢲☯
䢲☯
䢲☯ 䐋䞿
䢲☯
䐋䞿
䐋䞿
䐋䞿
Ὃ 㧦
Ὃ 㧦
Ὃ 㧦
Ὃ 㧦
㩲㫆
㩲㫆
㩲㫆
㩲㫆
ⶒ⮮
ⶒ⮮
ⶒ⮮
ⶒ⮮
㥶䐋
㥶䐋
㥶䐋
㥶䐋
㏢゚㧦
㏢゚㧦
㏢゚㧦
㏢゚㧦
㩲䛞
㩲䛞
㩲䛞
㩲䛞 / ㍲゚㓺
㍲゚㓺
㍲゚㓺
㍲゚㓺
SCMⰪ
Ⱚ
Ⱚ
Ⱚ ᇟዳⱺ⪺☆
ᇟዳⱺ⪺☆
ᇟዳⱺ⪺☆
ᇟዳⱺ⪺☆ ♶⌮ⱺጶ⺪
♶⌮ⱺጶ⺪
♶⌮ⱺጶ⺪
♶⌮ⱺጶ⺪ Ⲗ㬾ⱂ
Ⲗ㬾ⱂ 㰺Ṯᇦ
Ⲗ㬾ⱂ
Ⲗ㬾ⱂ
㰺Ṯᇦ
㰺Ṯᇦ
㰺Ṯᇦ ᇪᴒᤆ
ᇪᴒᤆ
ᇪᴒᤆ
ᇪᴒᤆ ⳿⇞ⱂ
⳿⇞ⱂ
⳿⇞ⱂ
⳿⇞ⱂ
ᣃጚ㬾ᤆ
ᣃጚ㬾ᤆ
ᣃጚ㬾ᤆ
ᣃጚ㬾ᤆ(Synchronized) ᇪẖṦ
ᇪẖṦ
ᇪẖṦ
ᇪẖṦ 㚟㩞
㚟㩞
㚟㩞 㪏▫ᤆ
㚟㩞
㪏▫ᤆ ც㍂
㪏▫ᤆ
㪏▫ᤆ
ც㍂
ც㍂
ც㍂(Value)Ṧ
Ṧ
Ṧ
Ṧ ⴆᇟ㩂
ⴆᇟ㩂
ⴆᇟ㩂
ⴆᇟ㩂
ᅭ
ᅭ
ᅭ
ᅭ.
The Institute for Supply Management
“㾲㫛㏢゚㧦㦮 ┞㯞⯒ 㿿㫇㔲䋺₆ 㥚䞮㡂 㫆㰗㦮 ἓἚ⯒ 㽞㤪䞮㡂
Seamless䞮Ợ ṖṖ䂮 䝚⪲㎎㓺⯒ ㍺Ἒ䞮ἶ ὖⰂ䞮⓪ ộ. Ὃ ㌂㔂㦚
㎇Ὃ㩗㦒⪲ 䐋䞿䞮⩺Ⳋ 㧎㩗/₆㑶㩗 㧦㤦㦮 Ṳὒ 䐋䞿㧊 䞚㣪䞮┺.”
The Supply-Chain Council
“㑮㣪㢖 Ὃ 㦮 ὖⰂ, 㤦㧦㨂㢖 䛞㦮 㫆╂, 㩲㫆㢖 㫆Ⱃ, 㩲䛞 ⽊ὖὒ 㨂ἶ
㿪㩗, 㑮㭒 㭒ⶎὖⰂ, Ὃ ㌂㔂 ἓ⪲ Ṛ㦮 ⺆㏷, ⁎Ⰲἶ ἶṳ㠦Ợ㦮 ⺆╂
❇㦚 Ⱖ䞲┺.”
The Council of Logistics Management
“Ṳ⼚ ₆㠛ὒ Ὃ ㌂㔂 㩚㼊㦮 ㎇ὒ⯒ 㩲ἶ䞶 ⳿㩗㦒⪲ Ṳ⼚ ₆㠛 ⌊㦮 ⳾✶
ἓ㡗 ₆⓻ὒ Ὃ ㌂㔂 ⌊㦮 ⳾✶ 㠛㼊㠦 Ỏ㼦㍲ 㩚䐋㩗㧎 ἓ㡗 ₆⓻ὒ 㩚㑶㦚
㼊Ἒ㩗㧊ἶ 㩚⨋㩗㦒⪲ 㫆㩫䞮⓪ ộ.”
SCM (Supply Chain Management)⪺
⪺
⪺
⪺ 㩆
㩆
㩆 ⫖᳖
㩆
⫖᳖
⫖᳖
⫖᳖ ც⺪
ც⺪
ც⺪
ც⺪ ⳿ⱂ
⳿ⱂ
⳿ⱂ
⳿ⱂ
A.T. Kearney 48/00000/Production 5 KTA-0331/ 2008-10-22 /YC
SCM as Core Competency
“
SCM
is the core competency of
any manufacturer, as it defines
cost, quality
and delivery capability of a
company”
“
Speed of SCM
is
even more critical,
as price erosion gets faster
and product lifecycle gets
shorter”
SCM ⱂ ⳿ⱂ
According to Jong-Yong Yun, CEO, Samsung Electronics …
㧦⬢: ET News (2007.05.03)
0 d
+7 d
+21 d
+28 d
Inventories
Temporary
demand
drop
Demand/supply
propagation delay
Lack of visibility
across tiers
Cycles of excess
inventory & shortages
+
=
7 days 14 days 7 daysRetailer
Enterprise
Tier 1
Supplier
Tier 2
Supplier
Lack of Coordination leads to inefficiencies
Issues & 㩞ᆚ ℓ⨲
Higher COGS and Lower Profit Margins for all players in the supply
chain
A.T. Kearney 48/00000/Production 7 KTA-0331/ 2008-10-22 /YC
12-15 % advantage on
Inventory costs
-12 -10 -8 -6 -4 -2 0 Weeks before customer delivery Relative component cost 105 110 115 100 95 10 weeks of inventory, traditional model manufacturer
buys material this point
Few days of inventory, direct model manufacturer buys material at this point
15 % savings
Inventory cost advantage
Material procurement cost advantage
Low inventory model results in 20-30 % cost
25 50 0 Manufacturer & Channel Direct Manufacturer Days of
inventory 10 weeks of inventory
5-14 days of inventory
1
•
90 % of product cost is material cost
•
15 % annual depreciation in material cost
•
3-4 % in material costs overall as material is
brought about 8 weeks later
2
Issues & 㩞ᆚ ℓ⨲
Market Driven Change
Product
Process
Personnel
Simple & Speed
•
Transform individual processes into customer/market-driven
•
Enhance customer and supplier collaboration
•
Optimize and upgrade 4 Mega Processes
•
Improve value creation with enhanced marketing/sale/development
R&D
Mgmt
Demand
Mgmt
Supply
Mgmt
R&D Proc. Mfg. Lgts. Mktg. Sales Svc.
Market Driven Process
Im p ro ve su p p lie r ca p a ci ty to su p p o rt m a rke t n e e d s
6 Sigma / IT infrastructure
Im p ro ve C u st o m e r S a tisf a ct io nBusiness Management
Delivering market needs Securing inter/intra company connectivity Active Collaboration Sharing product/logistics information Maintain market competitiveness to support customer needs Sensing market informationStrategy
Key
Actions
SCM Vision & Roadmap
Process Innovation Vision
Digital
ȿ
ȿ
ȿ
ȿ
-Company
A.T. Kearney 48/00000/Production 9 KTA-0331/ 2008-10-22 /YC
As-Was
Bi-Weekly / Monthly Cycle
Sales Manager Sales Subsidiary Sales & Marketing Global Support Purchasing Production Management
Weekly Global Planning Cycle
Key innovation areas enabled by SCM
• Real-time global information sharing (market and supply chain planning information)
• Generation of a single plan with simultaneous consideration of global constraints
• Reduction in global planning cycle time: by-weekly/monthly cycle ˧ daily/weekly cycle
Forecast /Order PSI Sales Plan Allocation Plan Production Plan Purchasing Plan
As-Is
Daily / Weekly Cycle
Sales Manager Sales Subsidiary Sales & Marketing Global Support Purchasing Production Management Forecast /Order PSI Sales Plan Allocation Plan Production Plan Purchasing Plan Con-current Planning on a Single Planning Table within a day Issues & 㩞ᆚ ℓ⨲ : S▖
As-Was
As-Is
Έͥ͑͢ͺ΄͵͑΅ΠΥΒΝ͑͵ΖΞΒΟΕ͑ͷΠΣΖΔΒΤΥ͙͑ΒΝΝ͑΄ͼΆΤ͚ 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 W14 W15 W16 W17 W18 W19 W20 W21 W22 W23 W24 W25 W26 W27 W28 W29 Έͥ͑͢ͺ΄͵͑΅ΠΥΒΝ͑͵ΖΞΒΟΕ͑ͷΠΣΖΔΒΤΥ͙͑ΒΝΝ͑΄ͼΆΤ͚ 0 2000 4000 6000 8000 10000 12000 W14 W15 W16 W17 W18 W19 W20 W21 W22 W23 W24 W25 W26 W27 W28 W29Customer Salesman MarketingLocal
HQ Marketing Global
Support
Traditional PSI method
amplifying bull whip effect
Every individual’s sales plan/ forecast Kept In “one real-time view” Checked against actual
Global Demand Mgmt and Consensus Based Forecasting
Key Innovation Areas Enabled by SCM
• Sequential to concurrent & consensus-based forecasting process on a single table
• MBO based on forecasting/inventory personalization (by sales subsidiary & salesman)
• No Forecast, No Allocation (NFNA)
• Sales plan based on consensus result of RTF (Return to Forecast) from GOC
Έͥ͑͢ͺ΄͵͑΅ΠΥΒΝ͑͵ΖΞΒΟΕ͑ͷΠΣΖΔΒΤΥ͙͑ΒΝΝ͑΄ͼΆΤ͚ 0 1000 2000 3000 4000 5000 6000 7000 W14 W15 W16 W17 W18 W19 W20 W21 W22 W23 W24 W25 W26 W27 W28 W29 HQ Marketing Global Support
Customer Salesman MarketingLocal Issues & 㩞ᆚ ℓ⨲ : S▖
A.T. Kearney 48/00000/Production 11 KTA-0331/ 2008-10-22 /YC
Global Command Center
As-Was
As-Is
Suppliers Plants Sales Subs
•Global Allocation by Global Command Center
•Concurrent Optimized Plan & Synchronization of Supply-Demand
•Allocation by each plant
•Supply plan and Distribution plan by local plants
Global Optimization by Concurrent Planning
Key Innovation Areas Enabled by SCM
• Global production/distribution planning with consideration of all sales and manufacturing subsidiaries
• Strategy driven planning for global resource optimization & profit optimization
• Global visibility of all global operations (APS UI, no order visibility)
Korea PlantChina Plant
Europe Plant
N.America Plant
Suppliers Plants Sales Subs Issues & 㩞ᆚ ℓ⨲ : S▖
As-Was
As-Is
ATP based on local inventory Inv. Shortage“If you don’t have products in your warehouse and you can’t supply them, I will buy them from another vendor.”
On-Hand
AATP based on supplying plan
Allocation
Global Real-Time Order Promising (AATP)
Key Innovation Areas Enabled by SCM
• Pre-allocation down to salesman level based on forecast and production constraints
• AATP based on global inventory & production plan
• AATP policy based on customer priority and business policies
SalesmanATP?
Customer On-Hand In-Transit In Prod. Prod plan Mat. Plan Customer Salesman Manager HQ Issues & 㩞ᆚ ℓ⨲ : S▖A.T. Kearney 48/00000/Production 13 KTA-0331/ 2008-10-22 /YC
Benefits
I S PLarge inventory
level caused by
out of sync
between S and P
P
S
I
Case: Visual Display Division
Before SCM
After SCM
(1998)
(2002)
P S I P S I Issues & 㩞ᆚ ℓ⨲ : S▖SCM Architecture
Demand Planning
Demand Fulfillment
Supply Chain Planning
Factory Planning
䐋䞿
䐋䞿
䐋䞿
䐋䞿 DB 㤊㡗
㤊㡗
㤊㡗
㤊㡗
Symphony UI
1 2 3 4 5 6DeP
㭒┾㥚
㭒┾㥚
㭒┾㥚
㭒┾㥚 Sales Forecast
䐋䞿
䐋䞿
䐋䞿
䐋䞿 DB
㩲㫆
㩲㫆
㩲㫆
㩲㫆/䕦ⰺ
䕦ⰺ
䕦ⰺ
䕦ⰺ 㔺䟟㩫⽊
㔺䟟㩫⽊
㔺䟟㩫⽊
㔺䟟㩫⽊
㩲㫆⻫㧎
㩲㫆⻫㧎
㩲㫆⻫㧎
㩲㫆⻫㧎
FP
Suppliers
㭒㣪㧦㨂
㭒㣪㧦㨂
㭒㣪㧦㨂
㭒㣪㧦㨂
SCP
MP Allocation
DF
Real Time ⋿₆㟓㏣
⋿₆㟓㏣
⋿₆㟓㏣
⋿₆㟓㏣
GC/AP2/AP1 Forecasting Actual Order - ⋿₆㟓㏣⋿₆㟓㏣⋿₆㟓㏣⋿₆㟓㏣ ㌳㌆Ἒ䣣 ㌳㌆Ἒ䣣 ㌳㌆Ἒ䣣 ㌳㌆Ἒ䣣 / 㔺㩗㔺㩗㔺㩗㔺㩗 - ㍶㩗㔺㩗㍶㩗㔺㩗㍶㩗㔺㩗㍶㩗㔺㩗 -㭒㣪㧦㨂㭒㣪㧦㨂㭒㣪㧦㨂㭒㣪㧦㨂 Ṗ㣿⨟Ṗ㣿⨟Ṗ㣿⨟Ṗ㣿⨟Sales / On-Hand / In-Transit RTF - P/O 㩲㞞㩲㞞㩲㞞㩲㞞 SOP 㧦㨂㏢㣪Ἒ䣣 㧦㨂㏢㣪Ἒ䣣 㧦㨂㏢㣪Ἒ䣣 㧦㨂㏢㣪Ἒ䣣 Availability Allocation Demand Forecast Dynamic Data (ⶒ☯ⶒ☯ⶒ☯ⶒ☯) Static Data (SC)
䕦ⰺ
䕦ⰺ
䕦ⰺ
䕦ⰺ Ệ⧮㍶
Ệ⧮㍶
Ệ⧮㍶
Ệ⧮㍶
(DeP/DF)
Symphony UI
6 1 2 3 4 5Supply Chain
Master Data
Constraints
Mfg/Mat/Mold
Issues & 㩞ᆚ ℓ⨲ : S▖A.T. Kearney 48/00000/Production 15 KTA-0331/ 2008-10-22 /YC
S&OP Process : Process Flows around SOP
Issues & 㩞ᆚ ℓ⨲ : S▖
Case Story will be here
Speed based operation strategy is required
Issues & 㩞ᆚ ℓ⨲ : ⱦ⇢ S▖
A.T. Kearney 48/00000/Production 17 KTA-0331/ 2008-10-22 /YC
Accurate availability information / delivery to improve customer
satisfaction and reduce inventory
Issues & 㩞ᆚ ℓ⨲ : ⱦ⇢ S▖
Case Story will be here
Customer Collaboration Case (Panasonic vs. Best Buy)
΄ͺ 0 2000 4000 6000 8000 10000 12000 W14 W16 W18 W20 W22 W24 W26 W28
VMI PSI
POSFactory Operations
Category Management
Demand lift #2 DDC level planning and replenishment – regional promotions play #4 Factory receives visibility to VMI demand for prioritization #3 Tighter integration of marketing and SCM fordemand shaping and ‘sell to the plan’
achievement #1 Weekly PSI driven by end consumer demand – pull based planning & fulfillment
(No Lock)
Design a VMI process that positions PCEC to compete effectively against
emerging competition from the Direct Model as well as change the game on
current competition
0 100 200 300 400 500 1 2 3 4 5 6 78 9 10 11 12 Issues & 㩞ᆚ ℓ⨲ : ⱦ⇢ P▖A.T. Kearney 48/00000/Production 19 KTA-0331/ 2008-10-22 /YC
2005 POS 2005 WOS
Panasonic Financial Benefits by SCM Innovation
Elevated to Tier 1 for Plasma – ‘Go To’ Brand
Tier 3 Supplier Retailer Relationship
Right Inventory at Right Place
Peak season, WOS shrank to only two weeks, with no out of stocks
Misaligned with Channel Inventory Support for Promotions
Improved by 75% 28+ days
Order to Delivery Cycle Time
> 93% ~70-80% Forecast Accuracy 70+% 40-50% Forecast Accuracy Avg. 4 weeks Avg. > 17 weeks
Weeks of Supply in Channel
Profitable Net Loss Operating Profits > 5X Fair Unit Sales After
Before
Metric
Ϭ ϭϬ ϮϬ ϯϬ ϰϬ ϱϬ ϲϬ ϳϬ ϴϬ ϵϬ Ϭ ϱϬϬ ϭϬϬϬ ϭϱϬϬ ϮϬϬϬ ϮϱϬϬ ϯϬϬϬ Ϭ ϰ ͬϬ ϯ Ϭ ϰ ͬϭ ϳ Ϭ ϱ ͬϬ ϭ Ϭ ϱ ͬϭ ϱ Ϭ ϱ ͬϮ ϵ Ϭ ϲ ͬϭ Ϯ Ϭ ϲ ͬϮ ϲ Ϭ ϳ ͬϭ Ϭ Ϭ ϳ ͬϮ ϰ Ϭ ϴ ͬϬ ϳ Ϭ ϴ ͬϮ ϭ Ϭ ϭϬ ϮϬ ϯϬ ϰϬ ϱϬ ϲϬ ϳϬ ϴϬ ϵϬ Ϭ ϱϬϬ ϭϬϬϬ ϭϱϬϬ ϮϬϬϬ ϮϱϬϬ ϯϬϬϬ Ϭ ϰ ͬϬ ϯ Ϭ ϰ ͬϭ ϳ Ϭ ϱ ͬϬ ϭ Ϭ ϱ ͬϭ ϱ Ϭ ϱ ͬϮ ϵ Ϭ ϲ ͬϭ Ϯ Ϭ ϲ ͬϮ ϲ Ϭ ϳ ͬϭ Ϭ Ϭ ϳ ͬϮ ϰ Ϭ ϴ ͬϬ ϳ Ϭ ϴ ͬϮ ϭPOS Sales
Weekly PSI
2004 POS 2004 WOS 2006 POS 2006 WOS
Issues & 㩞ᆚ ℓ⨲ : ⱦ⇢ P▖
SCMⱂ
ⱂ
ⱂ
ⱂ ⷦ⭾
ⷦ⭾
ⷦ⭾
ⷦ⭾ ⪯„
⪯„
⪯„ ⫫⫗
⪯„
⫫⫗
⫫⫗
⫫⫗ ↮ᵆ
↮ᵆ 㩞៣
↮ᵆ
↮ᵆ
㩞៣
㩞៣
㩞៣ ⪯„Ṧ
⪯„Ṧ
⪯„Ṧ
⪯„Ṧ ⺪⮺㩂
⺪⮺㩂
⺪⮺㩂
⺪⮺㩂 SCM Solutionⱞ
ⱞ
ⱞ
ⱞ
ⵞⲖ㩂
ⵞⲖ㩂
ⵞⲖ㩂
ⵞⲖ㩂, ⱞⱂ
ⱞⱂ
ⱞⱂ ≪≮Ⱚ
ⱞⱂ
≪≮Ⱚ
≪≮Ⱚ
≪≮Ⱚ ⺫
⺫
⺫
⺫, ხ⳻ⳫⰦᵆ
ხ⳻ⳫⰦᵆ ☆ᵆ
ხ⳻ⳫⰦᵆ
ხ⳻ⳫⰦᵆ
☆ᵆ
☆ᵆ
☆ᵆ ⫚ᆮᤂ⪞
⫚ᆮᤂ⪞
⫚ᆮᤂ⪞
⫚ᆮᤂ⪞ Ⱳⰶ
Ⱳⰶ
Ⱳⰶ
Ⱳⰶ
SCM 㭒㣪
㭒㣪
㭒㣪
㭒㣪 㠛ⶊ
㠛ⶊ
㠛ⶊ
㠛ⶊ
SCM 㭒㣪
㭒㣪
㭒㣪
㭒㣪 Solution
1)Strategic
Tactical
Operative
Demand Planning Supply Network Planning Customer Service & OrderManagement Transfers & Warehousing External & Internal Supply Supply Chain Strategy
Supply Chain Performance Management
Procurement Planning Production Scheduling Demand Planning Supply Network Planning Customer Service & Order
Management Material Management Transfers & Purchasing Warehousing & Delivery External & inter Supply Supply Chain Strategy
Supply Chain Performance Management
Procurement Planning
Quota Management & Availability Check
Production & Packaging
Supply Chain Monitoring & Service Provider Management 1 2 4 3 5 6 5 7 8 10 5 9 9 6 Demand Fulfillment Demand Planning & Forecasting Sales & Operations Planning
Supply Chain Network Design
Supply Chain Event Management Supply Chain Performance Management
1 2 4 3 9-1 8 Procure Management 6 Production Planning 7-1 5 Production Scheduling & Dispatching 7-2 Manufacturin g Execution 10 Ware-house Manag ement 9-2 Transportation Management SCM Solutions
A.T. Kearney 48/00000/Production 21 KTA-0331/ 2008-10-22 /YC
Supply Chain Network Design
⳿㩗
⳿㩗
⳿㩗
⳿㩗
₆⓻
₆⓻
₆⓻
₆⓻
䔏㎇
䔏㎇
䔏㎇
䔏㎇
Solution
䢲㣿
䢲㣿
䢲㣿
䢲㣿
㌂⪖
㌂⪖
㌂⪖
㌂⪖
Ὃ ⰳ 㩚㼊 㡗㡃(㤦㨂⬢ ῂⰺ㠦㍲ 㢚㩲䛞 ἶṳ ⺆㏷)㦚 ╖㌗㦒⪲ ṗ Ệ㩦✺㦮 㥚䂮, Ệ㩦✺㦮 㡃䞶, 㩲䛞 Mix, 㑮⺆㏷ 㩚⨋, 㨂ἶ 㤊㡗㩚⨋ 㩲㫆 㤊㡗㠦 ὖ䞲 ṗ㫛 ╖㞞Ṛ㦮 Trande-Off ㍳㦚 䐋䟊 㾲㩗㦮 Ὃ ⰳ ⍺䔎㤢䋂 㩚⨋㦚 㑮Ⱃ䞶 㑮 㧞☚⪳ 㰖㤦䞾 •⳾◎Ⱇ ╖㌗ –Ệ㩦 –㩲䛞 –䝚⪲㎎㓺 –㤊㏷⳾✲ –㤊㏷䋂₆ –㍲゚㓺 㑮㭖 –ἶṳ 㑮㣪 •⳾◎Ⱇ㦮 㣿㧊㎇ 㥶㡆㍶ •╖㞞 ⼚ 㔲⸂⩞㧊㎮(What-If Analysis) •㾲㩗䢪 㠪㰚(Mixed-Integer Optimization) ㌂㣿 •㩫⨟㩗(Ὃ ⰳ 㤊㡗㦚 㥚䞲 䟃⳿⼚ ㌗㎎ ゚㣿)㍳ Ṗ⓻ •UI 㰖㤦㦚 䐋䞲 ㌂㣿㧦 䘎㦮㎇ 㩲Ὃ •㣎 ṳ㼊(㠧㎖, 㠧㎎㓺)㢖㦮 㡆☯ Ṗ⓻ •┺㹾㤦 ㍳㦚 㥚䞲 ⁎⧮䝚, 㰖☚,㣪㟓 ❇㦮 Report 㩲Ὃ •㌂⪖ : ⁖⪲⻢ 㦮⬢₆₆ 㠛㼊 A㌂•䢲㣿 Solution : i2㌂ ‘Supply Chain Strategist’
•䢲㣿 Activity : Supply Chain㦚 䐋䞿 㾲㩗䢪 䞿Ⰲ䢪
•䢲㣿 䣾ὒ : 㽳 $12.5(⺇Ⱒ)㦮 Supply Chain 㤊㡗゚㣿 㩞Ṧ
Supply Chain Network Design
Supply Chain Performance Management
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Supply Chain ㌗㦮 ṗ㫛 ㎇ὒ㰖䚲㠦 ╖䞲 Visibility⯒ 䢫⽊, 㧊⯒ ⳾┞䎆Ⱇ 䞮ἶ, ⶎ㩲 ㌳ 㔲 㧊⯒ ㌂㩚㠦 㡞䁷䟊 ╖㦧䞶 㑮 㧞☚⪳ 䟊 㭒㠊 㾲㽞 ⳿䚲⪲ 䞲 Supply Chain㦮 㤊㡗 ㎇ὒ⯒ ╂㎇䞶 㑮 㧞☚⪳ 㰖㤦䞾
•Dashboard 㩲Ὃ – ὖⰂ㧦 ὖ㩦㦮 View
•Scorecard 㩲Ὃ – 㔺ⶊ㧦 ὖ㩦㦮 View⪲㍲ KPI ㌗㎎ Drill-Down Ṗ⓻
•Business Event Management – ⶎ㩲⯒ ㌳㔲䌂 㡂㰖Ṗ 㧞⓪ 㧊䔎, Trend⯒ 㧦☯ Alert
•Reporting and Analysis – KPI ㎇ὒ㠦 ╖䞲 㩫⨟㩗 ㍳ Data 㩲Ὃ ⽊ἶ㍲ 㧧㎇㦮 㣿㧊㎇
•Data Integration – Portal Extranet㦚 䐋䟊 ṗ㫛 ⽊ἶ㍲, ㍳㍲, ₆䌖 㩫⽊✺㦚 㩲Ὃ䞾
•㥏₆㦮 㔲㓺䎲㦒⪲ ㌂㣿㧦 㩧⁒㎇ 䢫⽊
•㌂⪖ : ⹎ 㩫 ₆ὖ
•䢲㣿 Solution : Cognos㌂㦮 Aviation Logistics Management Information System
•䢲㣿 Activity : ṗ㫛 㤊㡗 ◆㧊䎆(゚䟟 㓺䅖㭚, ゚䟟₆ ㌗䌲, 㥶㰖/⽊㑮 䡚䢿, ⶒ⮮ 㩫⽊)⯒ 䐋䞿 ὖⰂ Supply Chain㌗㦮 㤊㡗 ㎇ὒ 㩫⽊㦮 Ṗ㔲㎇㦚 䢫⽊
•䢲㣿 Benefit : Supply Chain㦮 䐋㩲⩻㦚 ⏨㡂 ⎚ $7⺇Ⱒ ╂⩂㦮 㤊㡗゚㣿 㩞Ṧ䞾
A.T. Kearney 48/00000/Production 23 KTA-0331/ 2008-10-22 /YC
Sales & Operations Planning
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Solution
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ἶṳ 㣪ῂ㠦 ╖㦧䞮Ⳋ㍲☚ 㧦㨂, Tool ⶒ⮮/㌳㌆ Capa ❇㦮 䡚㔺㩗㧎 㩲㟓 㣪㏢⯒ 㿿䧞 ἶ⩺䞮⓪ 㾲㩗䢪♲ 䐋䞿 㧦㤦㤊㡗Ἒ䣣 㑮Ⱃ㦚 㰖㤦䞾•Constraints ⯒ ἶ⩺䞲 Feasible Planning (㧦㨂Ὃ /Tool Capa/ 㩲㫆 Capa)
–⳾◎ ⼚ Lot Sizing㦚 ἶ⩺䞲 Round Up
–EOL1)㦚 ἶ⩺䞲 㨂ἶ㏢㰚 ㌳㌆Ἒ䣣 䐋㩲 –㩲㫆 Capacity 㫇 㔲, 䔏㩫 ῂṚ ㍶䟟㌳㌆ 㰚䟟 –㧦㨂 㫇 㔲, ╖㼊 㧦㨂 ㏢㰚 –㡃⌊㌳㌆ Capacity 㫇 㔲, ╖㼊 ㌳㌆㰖 ㍶䌳 –⳾◎, DC ⼚ Safety Stock 㩗㣿 •⁖⪲⻢ 㧦㤦㤊㡗 㾲㩗䢪 •Ệ⧮㍶ ⋿₆㠦 ╖䞲 JIT Planning (㩲㫆/⺆㏷) •Customer Service 䟻㌗㦚 㥚䞲 㩲㫆 ⺆㏷㦮 㤆㍶㑲㥚 㩗㣿
–Demand Priority, Fair Share 㩗㣿
•What-if Analysis
•㌂⪖ : ⁖⪲⻢ 㩚㧦㠛㼊 B㌂
•䢲㣿 Solution : i2㌂ Master Planner
•䢲㣿 Activity : ⁖⪲⻢ ㌳㌆Ệ㩦✺㦚 ╖㌗㦒⪲ 䐋䞿 Ὃ ⰳ Ἒ䣣㦚 㑮Ⱃ 㾲㩗㦮 ⁖⪲⻢ 㧦㤦 䞶╏
㭒 1) EOL : End-Of-Life , ┾㫛
Sales & Operations Planning
Procure Management
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Solution
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ERP㢖 㣎 Ὃ 㠛㼊, ὖἚ₆ὖ ❇ Ệ⧮ 䕢䔎⍞ Ṛ㠦 㥏 ₆㦮 㩚㧦 㫆╂㦚 ῂ䡚䞮㡂 ㌗䢎 Win-Win ὖἚ⯒ 䡫㎇䞮ἶ, 㔶㏣䞲 㫆╂㦚 㰖㤦䞮Ⳇ, ⁖⪲⻢ 㫆╂ 㼊㩲㦮 ₆㦚 ῂ㿫䞾 •e-Sourcing㦚 䐋䞲 ⁖⪲⻢/㡺䝞 ㏢㕇 㼊㩲 ῂ䡚 –ῂⰺ ⶒ䛞 㩫⽊⯒ ㌗㔲 㧎䎆⎍㠦 Ợ㔲 –㩚㎎Ἒ⯒ ╖㌗㦒⪲ 㧶㨂 Ὃ ㌂ Search ❇⪳ –㔶㼃㌂✺㦚 㕂㌂, 䘟Ṗ䞮㡂, Ὃ ㌂⪲ ㍶㩫, ❇⪳ –❇⪳♲ Ὃ ㌂㠦 ╖䞲 Ὃ ㌂ 䃊䌞⪲⁎ ὖⰂ •e-Bidding/㡃ἓⰺ⯒ 䐋䞲 䒂ⳛ䞮ἶ Ὃ㩫䞲 ῂⰺ –㧎䎆⎍㦚 䐋䟊 㧛㺆Ὃἶ ₆⓻ –Ὃ ㌂ RFQ ′ỿ㍲ ㏷ ₆⓻ –㩲㞞㍲ ἂ㩗㍲⯒ 㑮㔶䞮㡂 䘟Ṗ䞮ἶ, 㧛㺆㦚 㑮䟟䞮㡂 Ὃ ㌂⯒ ㍶㩫䞮⓪ ὒ㩫 㰖㤦 –ῂⰺ ⶒ䛞㦮 䔏㎇, 㔲㧻 ἓ㨗䢮ἓ ❇㠦 ➆⧒ e-Bidding, 㡃ἓⰺ ❇ 㧛㺆⻫ ㍶䌳 ₆⓻ •Ὃ 㠛㼊㢖㦮 䡧㠛(Collaboration)₆⓻ –Ὃ 㠛㼊 䡧⩻㌂㢖 㧎䎆⎍㦚 䐋䟊 Ὃ Ἒ䣣, ῂⰺἚ䣣, 㨂ἶ㩫⽊, ㍺Ἒ㩫⽊ ❇㦚 Ὃ㥶 –㩲䛞㦮 ㍺Ἒ ┾Ἒ䎆 䞚㣪䞲 Ὃ ㌂ 㺎㡂 㰖㤦 ₆⓻ •㧎䎆⎍㦚 䐋䞲 㩚㧦 㩫⽊ ᾦ䢮 •㌂⪖ : ῃ⌊ 㻶ṫ㠛㼊 C㌂ •䢲㣿 Solution : i2 SRM Solution•䢲㣿 Activity : 㤦㧦㨂㢖 MRO ⯒ 䙂䞾䞲 ⳾✶ 㧦㨂⯒ ╖㌗㦒⪲ e-procurement ῂ䡚
•䢲㣿 Benefit : Global Sourcing, ἓ㨗ṫ䢪⯒ 䐋䞲 ῂⰺ㤦Ṗ Ṧ㿫 㧎⩻ / ㍲⮮ ゚㣿 Ṧ㿫㦚 䐋䞲 㽳ῂⰺ ゚㣿 㩞Ṧ
A.T. Kearney 48/00000/Production 25 KTA-0331/ 2008-10-22 /YC
Production Planning
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Solution
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㌳㌆ 㩲㟓 㫆Ị(㧦㨂, Tool/㌳㌆ Capa ❇)㦚 Ṧ㞞䞲 Ὃ㧻 ┾㥚㦮 ㌗㎎ 㧒㩫 Ἒ䣣 㑮Ⱃ㦚 㰖㤦䞮㡂 ☯₆䢪♲ ⶒ⮮㦮 䦦⯚ὒ Constraint 㣪㏢㦮 㰧㭧 ὖⰂṖ Ṗ⓻䞮☚⪳ 䞾•㧦㨂 Capacity㦮 㩲㟓㦚 ἶ⩺䞲 Feasible Plan 㑮Ⱃ
–㌳㌆ 㔺㩗㠦 ➆⯎ Ἒ䣣 㫆㩫 –㑮㭒 ⋿₆ 㤆㍶ ㌳㌆ –Setup Time㦚 㡗䞲 Ἒ䣣 –╖㼊 Line 䞶╏ –㩲㟓㦚 ἶ⩺䞲 Ἒ䣣 㑮Ⱃ –䟃㹾 㤊㏷ 㔲Ṛ ἶ⩺ –╖㼊 㧦㨂 䞶╏ •What-If 㔲⸂⩞㧊㎮ Ṗ⓻ •Early Warning - 㧦㨂 ㌳㌆⓻⩻㦮 ⶎ㩲⯒ ⹎Ⰲ 㡞䁷 •㑮㭒⼖☯ Line Trouble㠦 ╖䞲 㥶㡆䞲 ╖㦧 •㌂⪖ : ⁖⪲⻢ 㩚㧦㠛㼊 B㌂
•䢲㣿 Solution : i2㌂㦮 Factory Planner
•䢲㣿 Activity : 䐋䞿 Ὃ ⰳ Ἒ䣣㦚 Ⱒ㫇㔲䋺Ⳋ㍲, Ὃ㧻㦮 㧦㤦 㩲㟓ὒ Capa 㩲㟓㦚 㡗䞮㡂 Ὃ㧻┾㥚㦮 㾲㩗 㧒⼚ ㌳㌆Ἒ䣣㦚 㑮Ⱃ䞾
Production Planning
Production Scheduling & Dispatching
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Solution
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㩲䛞 Out ₆㭖㦮 㧒⼚ ㌳㌆Ἒ䣣㦚 㿿㫇㔲䋺₆ 㥚䞲, ㍺゚ Lot ₆㭖㦮 Shift⼚(䞚㣪 㔲, 㔲Ṛ⼚) ㌗㎎ ㌳㌆ 㓺䅖㭚㦚 㑮Ⱃ䞮⓪ ộ㦚 㰖㤦䞾
•㍺゚ ID ₆㦮 ┾₆ Scheduling
(㔲Ṛ╖ ⼚, ㍺゚ ID ⼚ ㌳㌆ 㓺䅖㭚 㑮Ⱃ)
–㓺䅖㭚Ⱇ ἆὒ ⁎⧮䞓㦒⪲ 㩲Ὃ
•What-If 㔲⸂⩞㧊㎮
–Product-Mix㦮 ⼖ἓ㧊 Cycle Time㠦 ⹎䂮⓪ 㡗䟻
–Ramp-Up & Down㧊 ㍺゚ Load㠦 ⹎䂮⓪ 㡗䟻
–㡞㌗ Capa Utilization, ㌳㌆⨟, Cycle Time
–㍺゚ 㿪Ṗ 䘦㐚 㔲, ㌳㌆㧊 ⓪ 㡗䟻
•Dispatching
(Lot⼚ ㍺゚ ID⼚ Matching)
–Dispatching Rule ㍺㩫 Ṗ⓻
–Hot Lot 㰖㩫 Ṗ⓻
•㌂⪖ : ⁖⪲⻢ 㩚㧦㠛㼊 B㌂
•䢲㣿 Solution : Thira
•䢲㣿 Activity : 㔲Ṛ ┾㥚 Line 䒂㧛 Schedule㦚 Lot ┾㥚⪲ 㰖㩫
A.T. Kearney 48/00000/Production 27 KTA-0331/ 2008-10-22 /YC
Manufacturing Execution
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Solution
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㌳㌆ 䡚㧻㠦㍲ ㌳㌆ Lot✺ὒ ὖ⩾䞮㡂 ㌳䞮⓪ ṗ㫛 ㌳㌆ 䢲☯✺㦚 䣾ὒ㩗㦒⪲ 䐋㩲䞮ἶ ὖⰂ䞶 㑮 㧞☚⪳ 㰖㤦䞾 •㔺㔲Ṛ ㌳㌆ 㰚䟟 ὖⰂ 䐋㩲 •㌳㌆䡚㧻㠦㍲ ㌳䞮⓪ Data⯒ 䚲㭖䢪, 㼊Ἒ㩗㦒⪲ ὖⰂ •䣾㥾㩗㧎 㨂Ὃ 䕢㞛 㿪㩗 ὖⰂ •ERP, 㧦☯䢪 㔲㓺䎲 ❇ 䌖 㔲㓺䎲Ṛ 㡆☯㦚 䐋䞲 㩫⽊ Ὃ㥶 •GUI, Web, XML ❇㦮 ㌂㣿㧦 䘎㦮 䢮ἓ 㩲Ὃ ㌳㌆ 䡚㧻 ⌊ ⶎ㍲㦮 㾲㏢䢪 –㧧㠛㧦㣿 OI UI 㩲Ὃ •㌂⪖ : ⁖⪲⻢ 㩚㧦㠛㼊 B㌂•䢲㣿 Solution : Brooks㌂㦮 SiMAX
•䢲㣿 Activity : 㩚㼊 ☚㼊 Ὃ㩫 㡗㡃(FAB, EDS, ASSY, TEST) 㦮 Shop Floor Level㠦㍲ Lot ┾㥚⪲ ㌳䞮⓪ Ὃ㩫 Event✺㦚 䐋㩲 ὖⰂ •䢲㣿 Benefit : 㧧㠛 䣾㥾 䣾ὒ⯒ 㯳╖ Manufacturing Execution
Transportation Management
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Solution
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⺆㏷㭒ⶎ㦮 㰖Ⰲ㩗 䙂, Ṗ㣿䞲 ☚⪲ 㹾⨟ 㩫⽊⯒ 㧊㣿䞮㡂 㾲㩗 Fleet ′⳾ ⺆㏷ ἓ⪲⯒ ㌆㿲䞮ἶ, ☚㌗ 㧊☯ 㔲Ṛ/ỆⰂ ₆㦮 ㎎㧒㩫㦚 Ἒ㌆䞾㦒⪲㖾 ṗ 㹾⨟ ┾㥚㦮 ㌗㎎ ⺆㏷ ⬾䔎 㧧㠛㰖㔲 㩫⽊⯒ ㌳㎇䞾 •⺆㏷ 㧒㔲 㟓㏣(ATD) •㹾⨟ ⺆㹾 –ṗ 䣢㌂⼚ ⺆㹾 ⭆㠦 ⁒Ệ䞲 ┾㑲 ⶒ⨟ 䞶╏ ₆⓻ : 㭒⪲ ╊╏ ῂ㡃⼚⪲ ┾㑲 ⺆㩫 ⪲㰗 ῂ䡚 •Route 㾲㩗䢪 –ṗṗ㦮 㹾⨟ ⼚⪲ 㾲㩗㦮 㤊㏷ Route ㌳㎇ : 㩚㧦 㰖☚㢖 㡆Ἒ –㔺㩲 ☚⪲ 㩫⽊(ỆⰂ, 㓺䞒✲, 䣢㩚 䟻 ❇) ₆㦮 ἓ⪲ 㾲㩗䢪 㞢ἶⰂ㯮 㩗㣿 –㩫䢫䞲 㤊㏷ ỆⰂ/゚㣿 ㌆㩫 •㓺䅖㭚Ⱇ –ṗṗ㦮 㹾⨟ ⼚ ㌗㎎ 㧧㠛 㓺䅖㭚 㩲㔲 : 㔲Ṛ 㣪㏢ 㡗(㢫⽋ 㔲Ṛ, 㧊☯ 㔲Ṛ, ㍲゚㓺㔲Ṛ, 䦊㔳 㔲Ṛ ❇)–㡞㩫 ☚㹿 㔲Ṛ(Estimated Time of Arrival, ETA) 㩫⽊ 㩲Ὃ
•㔺㔲Ṛ ⳾┞䎆Ⱇ 㨂Ἒ䣣
•㌂⪖ : ⁖⪲⻢ 㦢⬢㠛㼊 D㌂
•䢲㣿 Solution : Descartes㌂㦮 Roadshow
•䢲㣿 Benefit : 䔎⩃㩗㨂 䣾㥾 10% 䟻㌗, 䔎⩃ 㭒䟟ỆⰂ 30% Ṧ㏢, 㤊䟟 䔎⩃ 11% Ṧ㿫
A.T. Kearney 48/00000/Production 29 KTA-0331/ 2008-10-22 /YC
Warehouse Management
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Solution
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ⶒ⮮㎒䎆㦮 䣾㥾㩗㧎 㤊㡗 㧧㠛㦮 䘎Ⰲ㎇ὒ ㌳㌆㎇ 䟻㌗㦚 㥚䟊, 㧛ἶ, 㩗䂮, ⽊ὖ, 㿲ἶ ❇㦮 ⶒ⮮䢲☯✺㦚 㰖㤦䞾 •㔺㔲Ṛ ⳾┞䎆Ⱇ ⶒ⮮㎒䎆㦮 ⳾✶ 㧧㠛ἆὒ(㧛ἶ/㿲ἶ 㔺㩗, 㨂ἶ 䡚䢿, 㧧㠛 㔺㩗 ❇) Ṗ 㔺㔲Ṛ㦒⪲ 㔲㓺䎲㠦 㡗 •㧧㠛㧦 ☯㍶ ὖⰂ •䞿Ⰲ㩗㧎 ⪲㰗㠦 㦮䞲 㧧㠛㰖㔲 㧦☯ ㌳㎇ 㧧㠛㧦 ☯㍶ ὖⰂ •㧧㠛/㧧㠛㧦 Transaction ὖⰂ ṗ㫛 ◆㧊䎆 ㍳㦚 㥚䞲 ⪲⁎ 䕢㧒㦚 ⽊ὖ䞮㡂 䞚㣪 㔲, 㧧㠛 ㌳㌆㎇ ㍳ •㧛,㿲ἶὖⰂ 䆪✲ Scanning㦚 䐋䞲 㧛ἶ㻮Ⰲ ἶṳ 㭒ⶎ㠦 ➆⯎ 㧦☯ 㧧㠛 㰖㔲 㿲䞮 㔺㩗 ὖ •㩗䂮ὖⰂ 㾲㩗㦮 㩗䂮㥚䂮 㧦☯㌳㎇ •㨂ἶὖⰂ 㨂ἶ 㩫⽊ ὖⰂ •㌂⪖ : ῃ⌊ ⶒ⮮㩚ⶎ㠛㼊 E㌂•䢲㣿 Solution : EXE㌂㦮 EXceed
•䢲㣿 䣾ὒ : ㌂ⶊ㰗㤦㦮 㠛ⶊ 60% 㩲Ệ, 㨂ἶ 㩫䢫☚ 䟻㌗(99.8%), 㠛ⶊ 䣾㥾 30% 䟻㌗, DC ὋṚ䢲㣿☚ 30% 䟻㌗, 㩲䛞 㥚䂮䕢㞛 㔲Ṛ 40% ┾㿫
Warehouse Management
Demand Planning & Forecasting
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㔲㧻 䔎⩢✲ 䝚⪲⳾㎮ Ἒ䣣, 㩲䛞 㑮ⳛ㭒₆ ❇ ṗ㫛 㣪㏢✺㦚 ἶ⩺䞮㡂 Ṗ㧻 㩗䞿䞲 㑮㣪㡞䁷 ⳾◎㦚 ₆㦒⪲ 㩗㭧㥾㧊 ⏨☚⪳ 㑮㣪⯒ 㡞䁷䞮ἶ, 㧊⯒ ὖ⩾ 㧎⩻✺ὒ 䄺ⷺ┞䅖㧊㎮ Ṗ⓻䞮☚⪳ 㰖㤦䞾 •Multi Level㠦㍲㦮 㑮㣪㡞䁷 Ṗ⓻(㰖㡃, 㩲䛞, 㔲Ṛ ❇) •⁎⧮䞓 ㍳ Ṗ⓻ (MS Excelὒ 㡆☯) •㩲䛞 㑮ⳛ㭒₆(Product-life-cycle) 㡗 •䝚⪲⳾㎮ Ἒ䣣 㡗 •OLAP ₆⓻ 㩲Ὃ㦒⪲ ┺㟧䞲 ὖ㩦㠦㍲ ㍳ Ṗ⓻ •┺㟧䞲 䐋Ἒ䞯㩗 㑮㣪㡞䁷 ₆⻫ 㩲Ὃ 㩗㩫 ⳾◎ 㧦☯ ㍶䌳 •㑮㣪㡞䁷 㩫䢫☚⯒ 㰖㏣㩗㦒⪲ ὖⰂ •㰖㏣㩗㦒⪲ 㡞㣎 ㌗䢿㠦 ╖䞲 Alert 㩲Ὃ•Aggregation & Disaggregation
•What-If 㔲⋮Ⰲ㡺 Planning
•㌂⪖ : ⁖⪲⻢ 㩚㧦㠛㼊 B㌂
•䢲㣿 Solution : i2㌂㦮 Demand Planner
•䢲㣿 Activity : ῃ⌊ 䟊㣎 䕦ⰺ⻫㧎㦚 ╖㌗㦒⪲ 䞲 Forecasting 㔺ⳛ㩲 Consensus Forecasting (‘No Forecast No Allocation’)
A.T. Kearney 48/00000/Production 31 KTA-0331/ 2008-10-22 /YC
Demand Fulfillment
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Planned Inventory (On-Hand, In-Transit, Production, Production Plan)㠦 㦮䞲 ╖ ἶṳ ⋿₆㟓㏣㦚 㩲㔲 䞾㦒⪲㖾, ㌂㩚 ⋿₆㩲㔲, Early Warning, 䕦ⰺ 㫆㰗Ṛ 䣾ὒ㩗㧎 ⶒ⨟ ⺆㧊 Ṗ⓻䞮☚⪳ 㰖㤦䞾
•Netting(㑲㑮 Forecast㢖 Order㦮 Ⰲ⯒ 䐋䞮㡂, 㔺㩲 㡺▪㠦 ╖䞲 Ὃ 㹾㰞 㾲㏢䢪)
–㑮㣪㡞䁷 Ṩ㠦 ╖䞲 Demand 㹾Ṧ
–Demand 㤆㍶ 㑲㥚 㰖㩫
•Allocation(㑮㣪㡞䁷 㧛⩻ 㭒㼊 ⼚ ⶒ⨟ 䞶╏)
–Allocation Policy㠦 ➆⧒ S&OP ἆὒ⯒ ἶṳ ⼚⪲ Allocation 䧮 (What-If Simulation Ṗ⓻)
•Promising(㔺㩲 Customer Order㠦 ╖䞲 ⋿₆㟓㏣)
–Ἒ䣣㨂ἶ(On-Hand, In-Transit, Production, Production Plan)⯒ ₆㭖㦒⪲ ἶṳ㠦Ợ ⋿₆ 㟓㏣㦚 䞾
–䞶╏⨟㠦 ⁒Ệ䞲 㔺㔲Ṛ ⋿₆ 㟓㏣
•㌂⪖ : ⁖⪲⻢ 㩚㧦㠛㼊 B㌂
•䢲㣿 Solution : i2㌂ Demand Fulfillment
•䢲㣿 Activity : 㑮㣪㡞䁷 Ṩ㠦 ╖䞲 Netting Allocation, ⁖⪲⻢ ἶṳ 㭒ⶎ㠦 ╖䞲 ⋿₆㟓㏣
Order Promising
Supply Chain Event Management
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Solution
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Ὃ ⰳ 㤊㡗㡃⨟㠦 㡗䟻㦚 ⹎䂮⓪ Ὃ ⰳ ㌗㠦㍲ ㌳ Ṗ⓻䞲 ṗ㫛 㧊䔎✺㦚 㔺㔲Ṛ㦒⪲ 㧎㰖䞮ἶ 㧊㠦 ╖䞲 㾲㩗㦮 ╖㦧㺛㦚 㑮Ⱃ䞶 㑮 㧞☚⪳ 㰖㤦䞾•Monitor/Real Time Overview (Visibility)
㔲㧻 㑮㣪, ἶṳ㭒ⶎ, ㌳㌆, 㨂ἶ, 㑮/⺆㏷ 䡚䢿 ❇ὒ 㧊㠦 㡗䟻㦚 ⹎䂮⓪ ṗ㫛 㧊䔎 㩫⽊⯒ 㔺㔲Ṛ㦒⪲ 㩲Ὃ䞾 (㡞; ἶṳ㑮㣪 ⼖䢪, ἶṳ㭒ⶎ ⼖ἓ, ㌳㌆⨟ ㌳, 㹾⨟⺆㏷ 㰖㡆 ❇)
•Notify/Alerting
㦮㌂ἆ㩫㧊 䞚㣪䞲 㧊䔎 ㌳ 㔲, 㦮㌂ἆ㩫ῢ㧦㠦Ợ 㔺㔲Ṛ㦒⪲ Alert Messaging (Mobile, E-Mail ❇)㦚 ⦚㠊 㭒㠊 Exception ὖⰂṖ ♮☚⪳ 䞾
•Simulation/Optimization
䟊╏ 㧊䔎 㻮Ⰲ⯒ 㥚䞲 Action㦮 㔲⸂⩞㧊㎮ 㾲㩗䢪⯒ 䐋䟊 ⁎ ἆὒ⯒ ㌂㩚㠦 䘟Ṗ䞶 㑮 㧞☚⪳ 䟊 㭒㠊 㦮㌂ἆ㩫ῢ㧦㦮 㦮㌂ἆ㩫㦚 㰖㤦䞾
•Control/Automated Event Management
㧊䔎㠦 ╖㦧䞮₆ 㥚䟊 㔲⸂⩞㧊㎮ 䟊 ⽎ ἆὒ㠦 ➆⧒ ₆㫊㠦 ⌊Ⰶ 㦮㌂ἆ㩫㦚 ⼖ἓ䞮☚⪳ 䟊 㭢(㡞; ⺆㏷ἓ⪲ ⼖ἓ, 㨂ἶ 㨂䞶╏) •Measure/Performance Measurement 䡚㨂/ὒỆ Supply Chain㦮 㤊㡗䡚䢿㦚 㦮㌂ἆ㩫㧦✺㧊 䘟Ṗ䞶 㑮 㧞☚⪳ ὖ⩾ ㎇ὒ㰖䚲⯒ 㩲Ὃ䞾 •㌂⪖ : ⁖⪲⻢ ⶒ⮮㩚ⶎ㠛㼊 F㌂
•䢲㣿 Solution : G-Log㌂(䡚㨂⓪ Oracle㠦 䞿⼧♾)㦮 Global Command & Control Center(GC3)
•䢲㣿 Benefit : 㡆 $80(Ⱒ)㦮 㤊㡗゚㣿 㩞Ṧ, Order Cycle Time 60% ┾㿫
Copyright ཱྀ 2008 by A.T. Kearney Korea LLC
This report is solely for the use of client personnel. No part of it may be circulated, quoted, or reproduced for distribution outside the client organization without prior written approval from A.T. Kearney Korea LLC. This document provides an outline of a presentation and is incomplete without the accompanying oral commentary and discussion. A.T. Kearney Korea LLC is an associated firm, operating independently under the A.T. Kearney name.
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