MyungKoo Park

Principal Consultante-SCM ConsultingOracle Korea

1. Why Forecast to Plan ?

2. What is Forecast to Plan ?

3. Value Proposition

4. Demo

Agenda - Forecast to Plan

MRPI MRP II APS APS II

Planning Evolution

1970’S1970’S 1980’s1980’s 1990’s1990’s 2000’s2000’s•자재소요계획 •무한계획•자재소요계획 •무한계획

•자재소요계획 •자원소요계획 •무한계획(Infinite)

•자재소요계획 •자원소요계획 •무한계획(Infinite)

•자재소요계획 •자원소요계획 •유한계획(Finite)•최적화계획•시뮬레이션

•총괄 최적화 계획 •Collaboration Planning•통합된 Planning and Execution•통합화된 성과 관리•신속한 ROI 성취

Manual Processes (Long Time)

Disagreement

No Collaboration

Evasion of Responsibility

Missed Promises

Planning now…

Paperprocessing

Legacysystems

MRP APS

Reduce Plan Cycle time

Intelligent

Collaboration

Constraint Based Planning

Optimization

Reduce Plan Cycle time

Intelligent

Collaboration

Constraint Based Planning

Optimization

Planning tomorrow…

1. Why Forecast to Plan ?

2. What is Forecast to Plan ?

3. Value Proposition

4. Demo

Agenda - Forecast to Plan

Advanced Supply Chain Planning Advanced Supply Chain Planning

• 통합생산계획 구현(Holistic Planning)

• 다양한 생산방식의 Planning기능 지원

• 통합된 성과관리(KPI)

• 향상된 시뮬레이션 기능

• 전사차원의 최적화계획

• 집중 또는 분산구조의 계획서버

• Internet기반의 Collaborative계획

• 통합생산계획 구현(Holistic Planning)

• 다양한 생산방식의 Planning기능 지원

• 통합된 성과관리(KPI)

• 향상된 시뮬레이션 기능

• 전사차원의 최적화계획

• 집중 또는 분산구조의 계획서버

• Internet기반의 Collaborative계획

Manufacturing SchedulingManufacturing Scheduling

• 단기 생산일정의 유한계획 및 일정조정

• 자재 및 자원을 고려한 스케쥴링

• 드래그 & 드롭 기능 가시적인 공정관리

• 단기 생산일정의 유한계획 및 일정조정

• 자재 및 자원을 고려한 스케쥴링

• 드래그 & 드롭 기능 가시적인 공정관리

Global OrderPromising

DemandPlanning

AdvancedSupply Chain

Planning

APSInternet-basedcollaboration

ManufacturingScheduling

Inventory OptimizationInventory Optimization

• 전략적 재고 투자에 대한 의사결정

• 재고 계획에 대한 최적의 해를 제시

• 통계적 최적화 기법

• 전략적 재고 투자에 대한 의사결정

• 재고 계획에 대한 최적의 해를 제시

• 통계적 최적화 기법

22

33Demand PlanningDemand Planning

• Internet기반구조

•다양한 Scenario 구현

•통계적 수요예측

•다차원분석 기능

•• InternetInternet기반구조기반구조

••다양한다양한 Scenario Scenario 구현구현

••통계적통계적 수요예측수요예측

••다차원분석다차원분석 기능기능

Global Order Promising Global Order Promising

• 다단계 공급망에 대한

가용성 check

• 정확한 ATP/CTP/CTD

수행

•• 다단계다단계 공급망에공급망에 대한대한

가용성가용성 check check

•• 정확한정확한 ATP/CTP/CTD ATP/CTP/CTD

수행수행

11

44

55

Key Components

Process Image

MarketingForecast

SalesForecast

Mfg.Forecast

ConsensusForecast

ConsensusForecast

ProcessAutomation

Portal

Customer ForecastCustomer Forecast

t = hours

Supplier CapacitySupplier Capacity

Tier 2

Single Plan

Portal

Tier 1

AccuratePromise Dates

CollaborativeForecasting

Faster Planning CyclesBetter Plans

SupplierVisibility

TimeTime

Pla

nn

ing

lev

elP

lan

nin

g l

evel

Minutes Hours/Days Weeks/Months Quarters Years

Supply Chain Intelligence

CollaborationProcureProcure

ManufactureManufacture

FulfillFulfill

ServiceService

DesignDesign

PlanPlanMarketMarket

SellSell

Finance AssetsFinance Assets

Projects HRProjects HR

Demand PlanningDemand Planning

Supply Chain and Manufacturing Planning

Supply Chain and Manufacturing Planning

Inventory OptimizationInventory Optimization

Order PromisingOrder Promising

Supply Chain Event Management

Supply Chain Event Management

ManufacturingScheduling

ManufacturingScheduling

Complete e-Business Solution

Proven Engine

ERPERPOrder Management

Inventory WIP Financial

MESMES

Global ATPGlobal ATPSCP PlanningSCP Planning Inventory OptimizeInventory OptimizeDemand PlanningDemand Planning

Solvers OLAP Oacle8i MBP GENEVA

Purchasing

SchedulingScheduling

ERPERP

Consensus Forecast

Portal

고객 수요예측

마케팅마케팅수요예측수요예측

영업영업수요예측수요예측

생산생산수요예측수요예측

합의된 통합수요예측

OLAP

35 45 55 65 75 85 90 95 97 99 100

서비스 수준

재고비용

재고투자비용 감소

With Oracle With Oracle

Without OracleWithout Oracle

서비스 수준의 향상

Inventory Optimization

One plan

SuppliersSuppliers

ConsumersConsumers

Virtual enterpriseVirtual enterprise

InternetInternet

Manufacturer 1Manufacturer 1

InternetInternet

LogisticsLogistics

Manufacturer 2Manufacturer 2

Holistic Planning

1 2 3 4 51 2 3 4 5

Pro

du

ction

Dem

and

Pro

du

ction

Dem

and

Dem

and

Pro

du

ction

Dem

and

Pro

du

ction

Machine constraintMachine constraint

Labor constraintLabor constraint

1 2 3 4 51 2 3 4 5

Pro

du

ction

Dem

and

Dem

and

Dem

and Dem

and

Pro

du

ction

1 2 3 4 5

Pro

du

ction

Dem

and

Dem

and

Dem

and

Pro

du

ction

Dem

and

Pro

du

ction

Constraint Based Planning & Optimize

Dem

and

Pro

du

ction

Dem

and

Dem

and

1 2 3 4 5

Pro

du

ction

Dem

and

Pro

du

ction

Dem

and

Dem

and

Pro

du

ction

Dem

and

Pro

du

ction

Dem

and

Pro

du

ction

Constraint Based PlanningConstraint Based Planning

Maximum Inventory-TurnsMaximum Inventory-Turns

Pro

du

ction

Pro

du

ction

Pro

du

ction

Pro

du

ction

Pro

du

ction

MPS/MRPMPS/MRP

Maximum On-Time DeliveryMaximum On-Time Delivery

Access from any place,anywhere, anytime

Global Cross Instance view– Scalable and reliable

– Database-centric architecture

– Multi-threaded

– 24x7 support

– No ATP data is lost

Promise orders more accurately !

Global Order Promising

Promise Orders Based On:– Material availability

– Manufacturing capacity

– Supplier capacity

– Transportation capacity

Manufacturing scheduling

Oracle Manufacturing Scheduling is an internet based shop floorscheduling solution.

You can manually control the rescheduling or let the system optimizethe schedule based on resource and component constraint.

Oracle Manufacturing Scheduling is an internet based shop floorscheduling solution.

You can manually control the rescheduling or let the system optimizethe schedule based on resource and component constraint.

Improve asset utilization– Schedule around your

constraints

– Sequence production

– Optimize setups

React to short term scheduledisruptions– Machine breakdowns

– Absenteeism

1. Why Forecast to Plan ?

2. What is Forecast to Plan ?

3. Value Proposition

4. Demo

Agenda - Forecast to Plan

Oracle APS enables your company to

Rapidly drive to accurate consensus forecastRapidly drive to accurate consensus forecast

Reduce inventory while increasing delivery performanceReduce inventory while increasing delivery performance

Reduce supply chain planning cycle timesReduce supply chain planning cycle times

Increase promise date accuracyIncrease promise date accuracy

Identify and resolve exceptions across all supply chain tiersIdentify and resolve exceptions across all supply chain tiers

Customers

High-Tech: Hitachi, Sony, Panasonic, Ciena, ACT

Semi-Conductor: Agere, Xilinx, Agilent, Sony-Semi

Automotive: Eaton, Lean Chain, Dana, American Axle

Telecom: BellSouth, Echostar, JDS Uniphase

Discrete Mfg: Alcoa, Hitachi, NCR, Pella, Haworth, Honeywell

A&D: GE AE, Boeing, AeroXchange, Embraer, Rafael

Consumer : Foster’s, Odwalla, Minute Maid, Groupo Bimbo

Process: Boral, Zamil Steel, MRF

Distribution: UPS, Expanets, FEMSA, AAM

more than 250 !

1. Why Forecast to Plan ?

2. What is Forecast to Plan ?

3. Value Proposition

4. Demo

Agenda - Forecast to Plan