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                                                SAS® Service Parts Optimization
                                                Automate and optimize service parts management


                                                With aftermarket service and higher          The SAS solution is scalable to encom-
What does SAS® Service Parts                    margin sources of revenue becoming           pass hundreds of thousands – or even
Optimization do?                                crucial differentiators in the minds of      millions – of SKUs at every single loca-
SAS Service Parts Optimization enables          customers, organizations are look-           tion, so the solution can grow along with
companies to optimize their service parts       ing for ways to make their aftermarket       you to a large service network. Secure,
inventories over a multi-echelon service
                                                operations more effective and profitable     customizable, persona-based interfaces
network. By providing service organizations
the ability to forecast short-term, new-part    by reducing excess parts inventory,          provide information and capabilities to
and lifecycle parts demand, as well as          reducing stock-outs or by lowering           users based on their business roles. And
calculate optimized inventory and order         redistribution costs.                        flexible solution architecture enables
quantities for parts distribution systems,                                                   solution implementation in a phased,
the solution helps organizations maintain
                                                SAS® Service Parts Optimization helps        step-by-step manner.
adequate stock levels, maximize response
times and improve customer satisfaction.        organizations automate and optimize
                                                their service parts management by            With SAS Service Parts Optimization,
Why is SAS® Service Parts                       providing service groups the ability         you can:
Optimization important?                         to forecast short-term, new-part and         •	 Reduce	inventory	holding,	ordering	
SAS goes beyond the standard EOQ poli-          lifecycle parts demand, as well as              and backorder penalty costs.
cies to provide an accurate forecasting en-     calculate optimized inventory and order
vironment designed specifically for service                                                  •	 Calculate	optimal	inventory	replenish-
                                                quantities for parts distribution systems.
parts, combined with a true multi-echelon                                                       ment policies.
                                                SAS software’s accurate forecasting
inventory optimization capability for optimal
                                                helps to maintain adequate stock levels,     •	 Develop	better	replenishment	strate-
parts planning. While typical ERP systems
attempt to optimize sequentially – leading      maximize response times and improve             gies for fast-moving items.
to inflated demand forecasts and stock          customer satisfaction.                       •	 Use	dedicated	persona-based	inter-
overages – SAS enables true multi-echelon                                                       faces to support the daily activities
optimization by letting you optimize inven-
                                                SAS Service Parts Optimization is de-           of forecasters, inventory analysts
tory levels simultaneously for every SKU at
every location in your network.                 signed for complex global environments,         and buyer/planners to facilitate parts
                                                scales to large volumes of data, and            planning, inventory optimization and
For whom is SAS® Service Parts                  includes targeted interfaces and work-          replenishment.
Optimization designed?                          flows to support day-to-day activities       •	 Automatically	draw	in	data	to	conduct	
SAS Service Parts Optimization is designed      of forecasters, inventory analysts and          what-if analysis to easily perform
for senior managers responsible for improv-     buyer/planners for parts planning, inven-       MIRP	adjustments.	
ing aftermarket customer service while          tory optimization and replenishment.
maintaining or lowering parts inventory to                                                   •	 Base	your	service	parts	strategy	on	
increase profitability of aftermarket service                                                   information from all service systems
business. The workflow is designed to           SAS software’s data management al-
                                                                                                across the enterprise.
enable the forecasters and inventory            lows you to know how much and what
analysts to provide parts-demand plans,         kind of inventory is required at every       •	 Align	service	parts	strategies	by	
optimized inventory policies and orders         location, as well as all associated costs       sharing appropriate information with
suggestions to the parts buyer/planner.                                                         service professionals throughout the
                                                for every single part. With the SAS solu-
                                                tion’s unmatched forecasting accuracy,          organization.
                                                depth and breadth, organizations can
                                                take advantage of an infinite number         Key benefits
                                                of models from multiple model fami-          Reduced stock-outs and overages
                                                lies specific to service parts demand        •	 Forecast	short-term,	long-term	and	
                                                forecasting. The forecasting capabilities       end-of-cycle demand with confidence
                                                are accurate, frequent and automated,           using	the	SAS	Forecast	Server	mod-
                                                down to the SKU level.                          ule, providing flexibility and automa-
                                                                                                tion for accuracy.
•	 More	accurate	forecasts	drive	lower	              items, thus helping select the optimal   •	 Planners	can	customize	key	replen-
   safety stock levels which can be                  policy from a set of policies to main-      ishment policy drivers such as review
   tightened along with overall inventory            tain optimized stock levels, improve        period lengths, customer service
   – adding even more efficiencies to the            customer satisfaction, and reduce           measures, ordering rules and cost
   overall supply chain.                             ordering and inventory costs.               figures to streamline replenishment
                                                                                                 for specific items.
Lower parts inventory levels                      Timely, proactive planning                  •	 Scenario	modeling	capabilities	allow	
and inventory carrying costs                      with limited resources
                                                                                                 planners to compare planning sce-
•	 Calculate	optimal	inventory	levels	            •	 SAS	Service	Parts	Optimization	
                                                                                                 narios to pick the optimal policy from
   and replenishment policies based on               includes dedicated persona-based
                                                                                                 a number of options so that targeted
   user-specified constraints such as                interfaces and workflows to support
                                                                                                 customer service levels are met.
   required lead times, costs and target             day-to-day activities of forecast-
   service levels.                                   ing analysts, inventory analysts and     •	 The	solution	provides	planners	the	
                                                     buyer/planners, thus enabling them to       ability to visualize entire distribution
•	 Scenario	modeling	capability	allows	
                                                     do more in less time in a streamlined       networks so that they can review
   you to produce and compare alter-
                                                     manner.                                    and act upon multi-echelon inven-
   nate planning scenarios for multiple
                                                                                                tory	information,	making	adjustments	
                                                                                                proactively where required.

                                                                                              Base service parts strategy on enter-
                                                                                              prisewide service systems
                                                                                              •	 SAS	Service	Parts	Optimization	uti-
                                                                                                 lizes SAS software’s strength in data
                                                                                                 management to gather and con-
                                                                                                 solidate large volumes of data from
                                                                                                 every echelon of the service chain,
                                                                                                 regardless of format or location
                                                                                                 across the network.


                                                                                              Solution overview
                                                                                              Robust, effective data management
                                                                                              •	 Gather	and	consolidate	large	vol-
                                                                                                 umes of data from every echelon of
                                                                                                 the service chain, regardless of for-
Figure 1. Inventory Metrics: Details can be shown by graph.
                                                                                                 mat or location.
                                                                                              •	 Transform,	standardize	and	cleanse	
                                                                                                 the data (e.g., reconcile inconsistent
                                                                                                 naming conventions) to prepare it for
                                                                                                 accurate forecasting.
                                                                                              •	 Sharpen	the	inputs	that	affect	the	
                                                                                                 information	produced	by	the	ERP	
                                                                                                 system, thus improving the return on
                                                                                                 its investment.

                                                                                              Accurate forecasts at every level
                                                                                              •	 Automatically	generate	millions	of	
                                                                                                 statistically based, multilevel forecasts
                                                                                                 (top-down, bottom-up, middle-out) at
                                                                                                 frequent intervals.

Figure 2. What-If Scenario: Ad hoc analysis by facility with alerts.
•	 Produce	a	variety	of	demand	fore-
                                               Key Features
   casts, including: short-term (using
   historic data, event-based and failure-     Robust, effective data management
                                               •	 Aggregates	disparate	sources	of	service	parts	data,	while	overcoming	inconsistencies		
   based); long-term (using advanced
                                                  and	redundancy.
   data mining techniques); new or slow-
                                               •	 Transforms,	standardizes	and	cleanses	the	data	to	prepare	it	for	accurate	forecasting.	
   moving parts; end-of-life.
                                               •	 Pulls	data	from	ERP	and	legacy	systems	to	maximize	return	on	ERP	investments.
•	 Ensure	forecast	accuracy	with	auto-
                                               Accurate forecasts at every level
   mated diagnostics and best method
                                               •	 Automatically	generates	millions	of	statistically	based,	multilevel	forecasts	(top-down,		
   selection.                                     bottom-up,	middle-out)	at	frequent	intervals.	
•	 Support	novice	and	experienced	             •	 Produces	a	variety	of	demand	forecasts,	including:	short-term	(using	historic	data,		
   forecasters with interactive and auto-         event-based	and	failure-based);	long-term	(using	advanced	data	mining	techniques);		
   mated model building.                          new	or	slow-moving	parts;	and	end-of-life.	
                                               •	 Ensures	forecast	accuracy	with	automated	diagnostics	and	best	method	selection.	
•	 Build	an	infinite	number	of	models	
                                               •	 Provides	interactive	and	automated	model	building	to	support	novice	and	experienced		
   from multiple model families specific          forecasters.	
   to	service	and	adjust	model	param-          •	 Provides	numerous	models	from	multiple	model	families	that	are	specific	to	service		
   eters as needed.                               organizations	–	so	that	you	can	select	the	most	suitable	model.	
                                               •	 Permits	you	to	adjust	model	parameters.	
Multi-echelon inventory optimization
                                               Multi-echelon inventory optimization
•	 Calculate	optimal	inventory	levels	
                                               •	 Calculates	optimal	inventory	levels	and	policies	throughout	the	service	chain	based	on	
   and policies throughout the service            user-specified	constraints	(such	as	service	levels,	lead	times	and	costs)	by	product,	location,	
   chain based on user-specified con-             category,	SKU	and	more.	
   straints (e.g., service levels, lead        •	 Incorporates	all	variables	on	both	the	supply	side	(such	as	inventory	on	hand,	on	order,		
   times, costs) by product, location,            committed,	and	in	transit)	and	the	demand	side	(such	as	forecasts	and	sales	orders)	for		
   category, SKU, etc.                            the	entire	network,	as	well	as	every	single	location.	
                                               •	 Simultaneously	plans	the	best	inventory	allocation	for	every	location	within	your	network.	
•	 Take	into	account	all	variables	on	both	
   the supply side (inventory on hand,         Dedicated, persona-based interfaces and workflow
   on order, committed, in transit, etc.)      •	 Support	day-to-day	activities	of	forecasters,	inventory	analysts	and	buyer/planners	for	parts	
   and the demand side (forecasts, sales          planning,	inventory	optimization	and	replenishment.	
   orders) for the entire network, as well     •	 Get	customizable	views	with	a	forecaster	interface	to	enable	quick	analysis	of	outliers.		
   as every single location.                      Included	features	allow	for	part	chaining,	new	item	forecasting	and	last	buy	analysis.
                                               •	 Review,	analyze	and	act	upon	the	entire	multi-echelon	network	by	product	or	location	hierar-
•	 Account	for	parts	pooling,	transfers	          chies;	drill	down	to	lowest	part/location	pairing;	create	what-if	scenarios	for	identifying	supply	
   and reallocation for comprehensive             chain	opportunities	with	an	inventory	analyst	interface.	
   parts planning.                             •	 Optimize	replenishment	plans,	get	details	on	primary	and	secondary	sourcing	and	determine	
•	 Simultaneously	plan	the	best	inven-            impact	of	a	replenishment	plan	on	service	levels	and	costs	with	the	planner	interface.	Lock	and	
                                                  promote	optimized	plans.
   tory allocation for every location within
   your network.                               Information-sharing throughout the service chain
                                               •	 Incorporates	business	intelligence	capabilities	designed	specifically	for	the	service	chain,	
Dedicated, persona-based interfaces               including:	KPI	scorecards,	drillable	views,	snapshots	and	trends,	and	report	template	options	
and workflow                                      that	can	be	customized.	
•	 Support	day-to-day	activities	of	fore-      •	 Share	summary	and	detailed	reports	with	your	logistic	partners.	
   casters, inventory and buyer/planners       •	 Executive	dashboard	to	show	current	performance	at	various	levels	and	geographies.	
                                               •	 Monitor	demand	and	pipeline	variance	and	issue	detailed	alerts	to	report	outliers.	
   for parts planning, inventory optimiza-
   tion and replenishment with defined
   interfaces and workflow.

Information sharing throughout
the service chain
•	 Leverage	BI	platform	capabilities	
   designed specifically for the service
   chain, including KPI scorecards,
drillable views, snapshots and trends,                     •	 Microsoft	Windows	(on	Itanium):	                                            •	 Solaris	on	x64:	Version	10.
  and templated and customizable                                Windows	Server	2003.
                                                                                                                                            WebSphere Application Server
  reports.                                                   •	 Solaris	on	SPARC:	Version	9,	10.
                                                                                                                                            •	 AIX:	Version	5.3	and	6.1	on	POWER	
•	 Visualize	the	entire	distribution	net-                    •	 Solaris	on	x64:	Version	10.                                                    architectures.
   work for multi-echelon inventory sys-
                                                             •	 OpenVMS	for	HP	Integrity	Servers	                                           •	 Linux	for	x64	(EM64T/AMD64):	RHEL	
   tem information.
                                                                (Itanium):	8.3.                                                                4	and	5,	SuSE	SLES	9	and	10.
•	 Share	summary	and	detailed	reports	
                                                             •	 z/OS:	V1R7,	V1R8,	V1R9	and	higher.                                          •	 Microsoft	Windows	(x86-32):	
   on an as-needed basis with your
   logistic partners.                                        SAS Metadata Server, SAS OLAP Server                                              Windows	XP	Professional,	Windows	
                                                             and SAS Workspace Server components                                               Server	2003,	Windows	Vista*.
•	 View	current	performance	at	various	
   levels and geographies throughout                         All platforms listed under the SAS                                             •	 Microsoft	Windows	on	x64	(EM64T/
   the network with an executive dash-                       Service Parts Optimization server are                                             AMD64):	Windows	XP	Professional	
   board.                                                    supported except for:                                                             for	x64,	Windows	Vista*	for	x64,	
                                                                                                                                               Windows	Server	2003	for	x64.
•	 Monitor	demand	and	pipeline	vari-                         •	 OpenVMS	for	HP	Integrity	Servers	
                                                                (Itanium):	8.3.                                                             •	 Solaris	on	SPARC:	Version	9,	10.
   ance and receive alerts based on out-
   liers; drill down to detailed analysis.                                                                                                  •	 Solaris	on	x64:	Version	10.
                                                             Middle tier supported platforms
                                                                                                                                            •	 z/OS:	V1R7,	V1R8,	V1R9	and	higher.
                                                             WebLogic Server
SAS Service Parts Optimization
    ®
                                                                                                                                            Client tier supported platforms
                                                             •	 AIX:	Version	5.3	and	6.1	on	POWER	
Server tier supported platforms                                 architectures.                                                              •	 Windows	(x86-32):	Windows	XP	
                                                                                                                                               Professional,	Windows	Vista*.
SAS® Service Parts Optimization                              •	 HP-UX	Itanium:	HP-UX	11iv2	(11.23),	
server component:                                               11iv3	(11.31).                                                              •	 Supported	Web	browsers:	Internet	
                                                                                                                                               Explorer	6	on	Windows	XP	Pro;	
•	 AIX:	Version	5.3	and	6.1	on	POWER	                        •	 Microsoft	Windows	(x86-32):	
                                                                                                                                               Internet	Explorer	7	on	Windows	XP	
   architectures.                                               Windows	XP	Professional,	Windows	
                                                                                                                                               Pro	and	Windows	Vista*.
•	 HP-UX	PA-RISC:	HP-UX	11iv2	                                  Server	2003,	Windows	Vista*.
                                                                                                                                            *	 Firefox	2.0	on	Windows	XP	Pro,	
   (11.23),	11iv3	(11.31).                                   •	 Solaris	on	SPARC:	Version	9,	10.
                                                                                                                                               Windows	Vista*	and	Linux	x86	
•	 HP-UX	Itanium:	HP-UX	11iv2	(11.23),	                      •	 Solaris	on	x64:	Version	10.                                                    (SuSE	and	RHEL).
   11iv3	(11.31).
                                                             JBOSS
•	 Linux	for	x86	(x86-32):	RHEL	4	and	5,	                                                                                                   * NOTE: Windows Vista Editions that are
                                                             All	platforms	listed	for	WebLogic	Server	                                        supported include Enterprise, Business
   SuSE	SLES	9	and	10.
                                                             are supported plus:                                                              and Ultimate.
•	 Linux	for	x64	(EM64T/AMD64):	RHEL	
                                                             •	 AIX:	Version	5.3	and	6.1	on	POWER	
   4	and	5,	SuSE	SLES	9	and	10.
                                                                architectures.
•	 Microsoft	Windows	(x86-32):	
                                                             •	 Linux	for	x64	(EM64T/AMD64):	RHEL	
   Windows	XP	Professional,	Windows	
                                                                4	and	5,	SuSE	SLES	9	and	10.
   Server	2003,	Windows	Vista*.
                                                             •	 Microsoft	Windows	(x86-32):	
•	 Microsoft	Windows	on	x64	(EM64T/
                                                                Windows	XP	Professional,	Windows	
   AMD64):	Windows	XP	Professional	
                                                                Server	2003,	Windows	Vista*.
   for	x64,	Windows	Vista*	for	x64,	
   Windows	Server	2003	for	x64.                              •	 Solaris	on	SPARC:	Version	9,	10.




                         SAS Institute Inc. World Headquarters                                   +1 919 677 8000
                         To contact your local SAS office, please visit: www.sas.com/offices
                         SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA
                         and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies.
                         Copyright © 2009, SAS Institute Inc. All rights reserved. 104223_550284.1109

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Sas Service Parts Optimization

  • 1. FACT SHEET SAS® Service Parts Optimization Automate and optimize service parts management With aftermarket service and higher The SAS solution is scalable to encom- What does SAS® Service Parts margin sources of revenue becoming pass hundreds of thousands – or even Optimization do? crucial differentiators in the minds of millions – of SKUs at every single loca- SAS Service Parts Optimization enables customers, organizations are look- tion, so the solution can grow along with companies to optimize their service parts ing for ways to make their aftermarket you to a large service network. Secure, inventories over a multi-echelon service operations more effective and profitable customizable, persona-based interfaces network. By providing service organizations the ability to forecast short-term, new-part by reducing excess parts inventory, provide information and capabilities to and lifecycle parts demand, as well as reducing stock-outs or by lowering users based on their business roles. And calculate optimized inventory and order redistribution costs. flexible solution architecture enables quantities for parts distribution systems, solution implementation in a phased, the solution helps organizations maintain SAS® Service Parts Optimization helps step-by-step manner. adequate stock levels, maximize response times and improve customer satisfaction. organizations automate and optimize their service parts management by With SAS Service Parts Optimization, Why is SAS® Service Parts providing service groups the ability you can: Optimization important? to forecast short-term, new-part and • Reduce inventory holding, ordering SAS goes beyond the standard EOQ poli- lifecycle parts demand, as well as and backorder penalty costs. cies to provide an accurate forecasting en- calculate optimized inventory and order vironment designed specifically for service • Calculate optimal inventory replenish- quantities for parts distribution systems. parts, combined with a true multi-echelon ment policies. SAS software’s accurate forecasting inventory optimization capability for optimal helps to maintain adequate stock levels, • Develop better replenishment strate- parts planning. While typical ERP systems attempt to optimize sequentially – leading maximize response times and improve gies for fast-moving items. to inflated demand forecasts and stock customer satisfaction. • Use dedicated persona-based inter- overages – SAS enables true multi-echelon faces to support the daily activities optimization by letting you optimize inven- SAS Service Parts Optimization is de- of forecasters, inventory analysts tory levels simultaneously for every SKU at every location in your network. signed for complex global environments, and buyer/planners to facilitate parts scales to large volumes of data, and planning, inventory optimization and For whom is SAS® Service Parts includes targeted interfaces and work- replenishment. Optimization designed? flows to support day-to-day activities • Automatically draw in data to conduct SAS Service Parts Optimization is designed of forecasters, inventory analysts and what-if analysis to easily perform for senior managers responsible for improv- buyer/planners for parts planning, inven- MIRP adjustments. ing aftermarket customer service while tory optimization and replenishment. maintaining or lowering parts inventory to • Base your service parts strategy on increase profitability of aftermarket service information from all service systems business. The workflow is designed to SAS software’s data management al- across the enterprise. enable the forecasters and inventory lows you to know how much and what analysts to provide parts-demand plans, kind of inventory is required at every • Align service parts strategies by optimized inventory policies and orders location, as well as all associated costs sharing appropriate information with suggestions to the parts buyer/planner. service professionals throughout the for every single part. With the SAS solu- tion’s unmatched forecasting accuracy, organization. depth and breadth, organizations can take advantage of an infinite number Key benefits of models from multiple model fami- Reduced stock-outs and overages lies specific to service parts demand • Forecast short-term, long-term and forecasting. The forecasting capabilities end-of-cycle demand with confidence are accurate, frequent and automated, using the SAS Forecast Server mod- down to the SKU level. ule, providing flexibility and automa- tion for accuracy.
  • 2. • More accurate forecasts drive lower items, thus helping select the optimal • Planners can customize key replen- safety stock levels which can be policy from a set of policies to main- ishment policy drivers such as review tightened along with overall inventory tain optimized stock levels, improve period lengths, customer service – adding even more efficiencies to the customer satisfaction, and reduce measures, ordering rules and cost overall supply chain. ordering and inventory costs. figures to streamline replenishment for specific items. Lower parts inventory levels Timely, proactive planning • Scenario modeling capabilities allow and inventory carrying costs with limited resources planners to compare planning sce- • Calculate optimal inventory levels • SAS Service Parts Optimization narios to pick the optimal policy from and replenishment policies based on includes dedicated persona-based a number of options so that targeted user-specified constraints such as interfaces and workflows to support customer service levels are met. required lead times, costs and target day-to-day activities of forecast- service levels. ing analysts, inventory analysts and • The solution provides planners the buyer/planners, thus enabling them to ability to visualize entire distribution • Scenario modeling capability allows do more in less time in a streamlined networks so that they can review you to produce and compare alter- manner. and act upon multi-echelon inven- nate planning scenarios for multiple tory information, making adjustments proactively where required. Base service parts strategy on enter- prisewide service systems • SAS Service Parts Optimization uti- lizes SAS software’s strength in data management to gather and con- solidate large volumes of data from every echelon of the service chain, regardless of format or location across the network. Solution overview Robust, effective data management • Gather and consolidate large vol- umes of data from every echelon of the service chain, regardless of for- Figure 1. Inventory Metrics: Details can be shown by graph. mat or location. • Transform, standardize and cleanse the data (e.g., reconcile inconsistent naming conventions) to prepare it for accurate forecasting. • Sharpen the inputs that affect the information produced by the ERP system, thus improving the return on its investment. Accurate forecasts at every level • Automatically generate millions of statistically based, multilevel forecasts (top-down, bottom-up, middle-out) at frequent intervals. Figure 2. What-If Scenario: Ad hoc analysis by facility with alerts.
  • 3. • Produce a variety of demand fore- Key Features casts, including: short-term (using historic data, event-based and failure- Robust, effective data management • Aggregates disparate sources of service parts data, while overcoming inconsistencies based); long-term (using advanced and redundancy. data mining techniques); new or slow- • Transforms, standardizes and cleanses the data to prepare it for accurate forecasting. moving parts; end-of-life. • Pulls data from ERP and legacy systems to maximize return on ERP investments. • Ensure forecast accuracy with auto- Accurate forecasts at every level mated diagnostics and best method • Automatically generates millions of statistically based, multilevel forecasts (top-down, selection. bottom-up, middle-out) at frequent intervals. • Support novice and experienced • Produces a variety of demand forecasts, including: short-term (using historic data, forecasters with interactive and auto- event-based and failure-based); long-term (using advanced data mining techniques); mated model building. new or slow-moving parts; and end-of-life. • Ensures forecast accuracy with automated diagnostics and best method selection. • Build an infinite number of models • Provides interactive and automated model building to support novice and experienced from multiple model families specific forecasters. to service and adjust model param- • Provides numerous models from multiple model families that are specific to service eters as needed. organizations – so that you can select the most suitable model. • Permits you to adjust model parameters. Multi-echelon inventory optimization Multi-echelon inventory optimization • Calculate optimal inventory levels • Calculates optimal inventory levels and policies throughout the service chain based on and policies throughout the service user-specified constraints (such as service levels, lead times and costs) by product, location, chain based on user-specified con- category, SKU and more. straints (e.g., service levels, lead • Incorporates all variables on both the supply side (such as inventory on hand, on order, times, costs) by product, location, committed, and in transit) and the demand side (such as forecasts and sales orders) for category, SKU, etc. the entire network, as well as every single location. • Simultaneously plans the best inventory allocation for every location within your network. • Take into account all variables on both the supply side (inventory on hand, Dedicated, persona-based interfaces and workflow on order, committed, in transit, etc.) • Support day-to-day activities of forecasters, inventory analysts and buyer/planners for parts and the demand side (forecasts, sales planning, inventory optimization and replenishment. orders) for the entire network, as well • Get customizable views with a forecaster interface to enable quick analysis of outliers. as every single location. Included features allow for part chaining, new item forecasting and last buy analysis. • Review, analyze and act upon the entire multi-echelon network by product or location hierar- • Account for parts pooling, transfers chies; drill down to lowest part/location pairing; create what-if scenarios for identifying supply and reallocation for comprehensive chain opportunities with an inventory analyst interface. parts planning. • Optimize replenishment plans, get details on primary and secondary sourcing and determine • Simultaneously plan the best inven- impact of a replenishment plan on service levels and costs with the planner interface. Lock and promote optimized plans. tory allocation for every location within your network. Information-sharing throughout the service chain • Incorporates business intelligence capabilities designed specifically for the service chain, Dedicated, persona-based interfaces including: KPI scorecards, drillable views, snapshots and trends, and report template options and workflow that can be customized. • Support day-to-day activities of fore- • Share summary and detailed reports with your logistic partners. casters, inventory and buyer/planners • Executive dashboard to show current performance at various levels and geographies. • Monitor demand and pipeline variance and issue detailed alerts to report outliers. for parts planning, inventory optimiza- tion and replenishment with defined interfaces and workflow. Information sharing throughout the service chain • Leverage BI platform capabilities designed specifically for the service chain, including KPI scorecards,
  • 4. drillable views, snapshots and trends, • Microsoft Windows (on Itanium): • Solaris on x64: Version 10. and templated and customizable Windows Server 2003. WebSphere Application Server reports. • Solaris on SPARC: Version 9, 10. • AIX: Version 5.3 and 6.1 on POWER • Visualize the entire distribution net- • Solaris on x64: Version 10. architectures. work for multi-echelon inventory sys- • OpenVMS for HP Integrity Servers • Linux for x64 (EM64T/AMD64): RHEL tem information. (Itanium): 8.3. 4 and 5, SuSE SLES 9 and 10. • Share summary and detailed reports • z/OS: V1R7, V1R8, V1R9 and higher. • Microsoft Windows (x86-32): on an as-needed basis with your logistic partners. SAS Metadata Server, SAS OLAP Server Windows XP Professional, Windows and SAS Workspace Server components Server 2003, Windows Vista*. • View current performance at various levels and geographies throughout All platforms listed under the SAS • Microsoft Windows on x64 (EM64T/ the network with an executive dash- Service Parts Optimization server are AMD64): Windows XP Professional board. supported except for: for x64, Windows Vista* for x64, Windows Server 2003 for x64. • Monitor demand and pipeline vari- • OpenVMS for HP Integrity Servers (Itanium): 8.3. • Solaris on SPARC: Version 9, 10. ance and receive alerts based on out- liers; drill down to detailed analysis. • Solaris on x64: Version 10. Middle tier supported platforms • z/OS: V1R7, V1R8, V1R9 and higher. WebLogic Server SAS Service Parts Optimization ® Client tier supported platforms • AIX: Version 5.3 and 6.1 on POWER Server tier supported platforms architectures. • Windows (x86-32): Windows XP Professional, Windows Vista*. SAS® Service Parts Optimization • HP-UX Itanium: HP-UX 11iv2 (11.23), server component: 11iv3 (11.31). • Supported Web browsers: Internet Explorer 6 on Windows XP Pro; • AIX: Version 5.3 and 6.1 on POWER • Microsoft Windows (x86-32): Internet Explorer 7 on Windows XP architectures. Windows XP Professional, Windows Pro and Windows Vista*. • HP-UX PA-RISC: HP-UX 11iv2 Server 2003, Windows Vista*. * Firefox 2.0 on Windows XP Pro, (11.23), 11iv3 (11.31). • Solaris on SPARC: Version 9, 10. Windows Vista* and Linux x86 • HP-UX Itanium: HP-UX 11iv2 (11.23), • Solaris on x64: Version 10. (SuSE and RHEL). 11iv3 (11.31). JBOSS • Linux for x86 (x86-32): RHEL 4 and 5, * NOTE: Windows Vista Editions that are All platforms listed for WebLogic Server supported include Enterprise, Business SuSE SLES 9 and 10. are supported plus: and Ultimate. • Linux for x64 (EM64T/AMD64): RHEL • AIX: Version 5.3 and 6.1 on POWER 4 and 5, SuSE SLES 9 and 10. architectures. • Microsoft Windows (x86-32): • Linux for x64 (EM64T/AMD64): RHEL Windows XP Professional, Windows 4 and 5, SuSE SLES 9 and 10. Server 2003, Windows Vista*. • Microsoft Windows (x86-32): • Microsoft Windows on x64 (EM64T/ Windows XP Professional, Windows AMD64): Windows XP Professional Server 2003, Windows Vista*. for x64, Windows Vista* for x64, Windows Server 2003 for x64. • Solaris on SPARC: Version 9, 10. SAS Institute Inc. World Headquarters +1 919 677 8000 To contact your local SAS office, please visit: www.sas.com/offices SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2009, SAS Institute Inc. All rights reserved. 104223_550284.1109