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SCM software in semiconductor
• Supply Chain Management
• Supply Chain Management Software
• Supply Chain Management Software in semiconductor
• Example of Supply Chain Planning
• A few trends for Supply Chain Planning
Supply chain management
• Logistics (comes from the late 19th century)
• Supply chain management (1982, Keith Oliver)
• In the mid-1990s until late 1990s, SCM is practiced in management
• Supply chain management 2.0 (SCM 2.0)
Bullwhip effect
Beer games: business simulation game to understand the distribution side dynamics of a multi-echelon supply chain
Bullwhip effect is a distribution channel phenomenon in which forecasts yield supply chain inefficiencies.
Supply Chain Management-Award Best Production Industry Supply Chain
• 2009 Henkel Laundry & Home Care • 2010 BMW Motorrad • 2011 BASF • 2012 Infineon Technologies • 2013 ADVA Optical Networking • 2014 GF Piping Systems • 2015 Nokia Networks • 2016 Peri • 2017 Gries Deco Company (DEPOT)
Reinhard Ploss, Kurt Gruber and Hans Ehm receiving the award.
Supply Chain Management Software classification
SCM software can be divided into two types › Supply Chain Planning (SCP) applications
– Planning applications have an effective solution to determine the best way to fill an order
– APS (Advanced Planning and Scheduling)
› Supply Chain Execution (SCE) applications – Execution applications involve tracking of the physical status of goods, the
management of materials, and financial information involving all parties – Include Warehouse Management Systems (WMS) and Transportation
Management Systems (TMS)
• SCP is the most important sub-sector of SCM software (33% of market share) $3 bn
• Sourcing and Procurement $2.8 bn
Structure of the software modules covering the SCP-Matrix (Meyr 2002)
Pla
nn
ing
ho
riz
on
Supply chain process
supply planning
Red marked Planning Modules are most used in companies
Magic Quadrant for Supply Chain Planning System of Record (SOR)
SAP APO › Performance improvement and better
analytics through the use of Hana › SAP APO maintenance until 2025 › SAP IBP is used as supplement
JDA › Strong vision for how to take SCP solutions
forward to meet the functional needs of end users
› Lower rated in the area of the operations criterion
Source: Gartner 2015
Top 10 SCM Software Vendors and Market Forecast 2015-2020
Source: Appsruntheworld, 2016
$1.4 billion
APS in Semiconductor Industry
• Three major players in the semiconductor industry are: SAP, JDA and Oracle
• Semiconductor supply chain is characterized by long cycle time, steep ramps and short product life cycles
Big4 APS vendors for Semiconductor Industry › IBM › JDA › Oracle › SAP
Source: Stadtler et al., 2014
Influence factors for supply chain planners in decision making
SCP
Outputs
Stock status Production target Demand ATP (for customer order)
Tools
Inputs
static Master data (CT, yield, CPW, lot/package size, Capa, …) Bottleneck dynamic Order/Forecast/Stock Inventory/WIP Delivery Planning rules Priority Parameter
KPI Delivery performance Factory utilizations Demand lateness Inventory coverage
Decision making
Tools requirement • UI friendly • Recommended solutions • Routine tasks automation • Function for exception handling
Supply chain planner • Experience • Knowledge • Characteristics (risk
averse)
Input • Data quality • Data consistency • Data availability • Data format
How many can be produced? How many demand is requested?
Master Planning algorithms Demand Priorities Impact
Lowest
Priority
Highest
Priority
1. Orders
2. Forecasts
3. Stocks
Demand are netted based on these priorities
Order confirmations are based on first come first serve basis
Netting by Netting-Rules
W9 W10 Orders from SAP
W9 W10 FC from SPL-UI
Nett
ed
Nett
ed
Nett
ed
Nett
ed
W9 W10
W9 W10 Stocks from SPL-UI
W9 W10 W11 W12
New order in W11 will replace the FC
Further order in W11 will replace FC and stock targets
Capa
Master Planning reports
Overview on demand lateness
Providing inventory coverage and development on all stocking points
Detailed load information on all capacity constraints
Overview on factory utilizations or loading of world wide technologies.
For fast reaction on changes in demand or supply, daily actualized data are available.
A few trends for Supply chain planning
Supply Chain Planning
Planning is moving to the Cloud
Marriage of Planning and Analytics