Thursday, December 31, 2009

Rapid Planning, an addition to Value Chain Planning products suite

In May 2009, during Collaborate 2009 event Oracle provided a preview of it's new product "Rapid Planning" and they made a timely release of the product by announcing it's availability on 16th Nov 2009. Rapid planning will benefit customers with it's quicker, real-time, event driven planning and simulation abilities.

Extending the Information-Driven Value Chain
Leveraging its unique web services and open, standards-based architecture, Oracle Rapid Planning customers can enable reduced supply chain decision-making time with the following capabilities:
Fast, event-driven simultaneous material and capacity planning for rapid scenario analysis and real-time evaluation of supply chain events.
Fast sales and operations planning scenario simulation, integrated with Oracle’s Demantra.
Compatible and complementary capabilities to Oracle Advanced Supply Chain Planning.
Mass edit of supply chain data, enabling customers to conduct ad-hoc, rapid scenario modeling without the need to make changes to the ERP data or transactions.
Predictive and actionable insight via embedded analytics, a spreadsheet-style flexible user-interface, and embedded exceptions and scenario comparisons.
Comprehensive constraint modeling to mimic real-life planner decision making such as alternate bills of material, routings, sources and shipping methods, substitution and lead times.
Multi-enterprise visibility and planning, spanning internal facilities and contract manufacturers.
Multi-planner collaboration and simulation to help speed up the analysis and decision-making process.
Integration with ERP to help quickly translate decisions into actions and release planning recommendations directly to execution without latency.
For complete details about product read the complete release article on Oracle's site @ http://www.oracle.com/us/corporate/press/040402

Monday, October 26, 2009

Demantra 7.3 comes clean

Oracle's latest release 7.3 of Demantra Suite comes with an empty schema, unlike previous versions which had demo data. This surely would be a good news for those who have faced problems while cleaning up the demo data in older versions.


DB issue: Business modeler/Engine Admin cannt connect to database

Problem: When trying to open Demantra Business modeler on my local install, started getting error "ORA-01033 ORACLE initialization or shutdown in progress ". Also found that while connecting to Engine Administrator I started getting error "Cann't connect to database".

Analysis: Found that even while tnsping to database works, even SQLplus connection to database using Oralce SQLPLUS wouldn't work. It happens at times when the last DB shutdown didnt happen properly. Database needs to be re-started after shutting down explicitly by using SQL PLUS.

Solution:
Using command prompt,

Login as:
> sqlplus /nolog


Once logged in, use following commands:

SQL> connect / as sysdba
ConnectÚ.
SQL> shutdown abort
Instance ORACLE arrÛtÚe.
SQL> startup nomount
Instance ORACLE lancÚe.


While executing this, I got below error:
Database mounted.
ORA-00600: internal error code, arguments: [kcratr1_lastbwr], [], [], [], [],[], [], []

To further fix this issue, used following commands to re-start database:

SQL> startup mount
ORACLE instance started.

Total System Global Area 1073741824 bytes
Fixed Size 1264916 bytes
Variable Size 264241900 bytes
Database Buffers 801112064 bytes
Redo Buffers 7122944 bytes
Database mounted.
SQL> recover database
Media recovery complete.
SQL> alter database open;

Database altered.

Verify that you are able to login into Database and then into Demantra applications. All set and we are back to action.

Wednesday, September 30, 2009

Demand Management Process & Demantra’s Solution

Sensing Demand

Demand data should be collected from various possible sources and which can be treated as “BIBLE” for basing your forecast on. Not only actual sales data but other attributes of sales data like promotional causals, holidays, events etc. should be brought in, which justify the variations in demand data. E.g. Sales data collected from various Retailers’ store varies with days on which store is open, promotions which were launched at the store and competition activities near store’s location. So while predicting sales at these stores we should consider all these factors as well.

Demantra implementation offer real-time Demand sensing capabilities, collect demand data and information from various sources like sales orders, shipments, POS data, distribution center data, customer data and marketing data. Demand can be collected inside Demantra on daily or weekly basis as per the requirements.

Shaping Demand

There are items & locations for which sometime sales data is not available, in that case Demand Planners based on their instincts & experience should be able to enter or edit the sales history. Not only history of sales but forecast numbers generated by engine is likely to be edited to consider inputs which have not been captured by the Analytical Engine.


Oracle Demantra Demand Management provides user ability to define override series for each of collected series and also for forecast series. Demantra provides flexibility to create unlimited number of Causal Factors to capture the information which can describe the demand variance and events which occurred. Causal Factors are created and used to ensure that impacts of these factors are taken into consideration by Engine to generate the Forecast numbers.


Collaboration

For any organization the problem of keeping all the stakeholders who represent various verticals like Manufacturing, Marketing, Sales, Retailers, etc. is very common. Today most of the firms are into global markets and have operations and sales happening in various corners of world. Also to become a demand driven supply chain network, the need of having collaboration with all the demand nodes (e.g., customer’s stores) and supply nodes (e.g., raw material supplier’s factory) becomes vital for most of the industries.

The Demantra application provides an easy to use tool for collaborating with all the stake holders using a web based platform. Users can easily collaborate with their internal stakeholders & customers to better predict their forecast. Also all the stakeholders can be informed and kept in loop to reach to final Consensus Forecast number.


Alerts, Exceptions & Notifications

In most of industrial scenarios it becomes difficult to analyze and to figure out the issues like Demand plan crossing the budget limits, import data failures etc. Thus the automated notifications can assist the planners and managers to take up remedy actions. Alerts can be created within Demantra for notifying stakeholders and concerned group of users on Real-time basis. Automated workflows keep all the users notified and updated if there are any exceptions meeting defined conditions.

Saturday, September 5, 2009

Value Chain Planning R12.1.1

Oracle released following new set of advanced planning applications under "Value Chain Planning" category in R12.1.1 :

- Oracle Manufacturing Operations Center (MOC)
- Oracle Demand Signal Repository (DSR)
- Oracle Service Parts Planning (SPP)
- Oracle Advanced Planning Command Center (APCC)

Demantra has it's own set of role to play in above applications, where it is directly integrated with DSR, SPP and APCC. SPP has it's own inbuild Demantra engine for spare parts forecasting too, while APCC and DSR have an outbound integration from Demantra for forecast and other information.



Monday, August 31, 2009

Demantra 7.3 release - Features Part2 - NPI

7.3 simplifies New Product Introduction cycle, by providing following abilities on worksheet application itself:

- create new product based on existing product
- manage product launch and life cycle end
- cannibalization of existing product

Instead of using Demand Planner > Member/Chaining Management application which was quite complex for end users. This new functionality gives end users a simple and faster way of managing new products introduction.

This function has been provided as a level method on worksheet application. New level method "Create similar product" is context based and is called from existing SKU from which the history shall be copied over to NEW product. Filters of worksheet are used for managing combinations and target location members. The option of setting a launch date and cannibalization% is also provided.

Overall this functionality eases out end users life, who have been using sophisticated Demand planner>Member/chaining management till date.

Tuesday, August 18, 2009

Demantra 7.3 release - Features Part1


Demantra's much awaited 7.3 release happened as promised by Oracle in mid of august09. The current release has lot of new functionality changes and enhancements, from simple ones like UI changes to complex ones like CTO offering.

Complete list of documentation is available in Metalink Demantra document library.

Internationalization:
Open the CWB login screen and you would see the first change, which appears as "Language" button at bottom of logon screen.


This release has internationalized the product by supporting, 8 languages (Russian, Japanese, Canadian French, Korean, Spanish, Chinese and Portuguese), by making web based applications available in these languages for end users.

You need to pick the language at time of installation and only one language per install is supported.
Remember that, the language support is targeted for business users and not for implementers, so don't be surprised when you see your good old Business modeler menu options still showing up in English.

more on 7.3 release features will be posted soon.....




Saturday, July 11, 2009

The S&OP Sweet Spot on Manufacturing Executive

The S&OP Sweet Spot on Manufacturing Executive

Abstract: In order to respond quickly to rapidly changing markets, manufacturers are striving to find tools that help them easily link financial plans with operational plans.

During the holidays, cookies are in high demand. Elementary school students are selling baked goods as part of their school fundraisers, and supermarkets and restaurants are upping their orders.

That's a good thing for Otis Spunkmeyer, a San Leandro, CA-based cookie manufacturer that has seen its revenue nearly double over the past five years. But all of this holiday season activity puts pressure on the company to reconcile sales forecasts with inventory and production operations.

Until about a year ago, Otis Spunkmeyer was using Excel spreadsheets to summarize sales forecasts for the annual budgeting process. That approach limited the number of people who could access the information. In addition, it did not always accurately reflect what the sales force was seeing and could not tie financial forecasts with production. The company was often at risk of making too few or too many cookies.


Complete article ....................Posted using ShareThis

Waiting for Demantra 7.3 release......

Demantra 7.3 is being expected to be released in a month or two, and we are looking forward for some most sought after features availability in it. While previous few releases were mainly focused on integrating Demantra application with various Oracle products, this release is going to provide more features within Demantra product.

Few key features to look out for could be:
1. Support for CTO (Configure To Order) to derive dependent demand within Demantra. This feature existed in ODP and thus with this feature being available in Demantra, it would surely cut down a major missing functionality

2. Integration with Hyperion for importing Budget data into Demantra, which might come handy in S&OP process.

3. Support for Engine run on Linux will mean you no more need to have Demantra Engine on windows server, but still for Administrative tools like Business modeler etc, you would need windows box.

4. Improved NPI capabilities and worksheet performance

......am waiting to see how 7.3 release would impact product's demand in market.

Friday, June 12, 2009

S&OP Process - Post1 - New Product Planning process


Step1: New Product planning process

Planning process for new product launch forms the first step of the larger S&OP process. This sub process shall support forecasting demand for the new product being launched. Statistical Quantitative forecast most of the times is based on the fact that future demand will resemble the historical sales. For improved forecast accuracy, qualitative information shall be incorporated into quantitative forecast numbers and a combination of it shall be used as Baseline forecast.

But for a new product with no historical sales data present, one needs to look at their product list for items with similar attributes and characteristics. Once identified historical sales of these existing product shall be mapped as history of the new product. Later a quantitative forecast can be generated out for this new product.

Picture: Product Launch Flow ***

A new product launch can affect the sales of existing products under same product line. Say the recent launch of Apple's "3G S Iphone" will surely impact the sales of it's existing old 3G model. (Well in this particular example with Apple reducing the price of old 8 GB model by half might shadow down the effect to some extent). But usually in such cases old product faces lower demand with consumers trying to grab the latest model release. This effect of reduction in the sales volume, sales revenue, or market share of one product as a result of the introduction of a new product by the same produce, is referred as Cannibalization.

Another commonly seen effect is phase out of an existing product, which is getting replaced by a new one. Effect of this process should be incorporated into the baseline forecast calculation.

Setting up New Product Planning process in Demantra:

Oracle Demantra and it's integration with EBS provides the features required to build the new product planning process on it. Collect new product codes from EBS into Demantra by using NPI setup form on DM system administrator responsibility. Once the new product is visible in Demantra, use the Member Management feature under Demand planner application to create combinations where this new product shall be sold. zero history can also be created for this new product and selected location level member's combination. This will allow users to pull up these combinations into worksheet and manually enter or adjust the historical sales information. Next step in the process is to map the historical sales from existing combination to new combination, which can be achieved using Chaining Management feature. A Chain is created and executed to copy sales history from existing combinations into the new combination. Once done, the new product at selected locations will have historical sales data, which is utilized by the Analytical Engine for calculating future demand of this new product.

It can be ensured that new product's demand prediction follows the shape of previous product launches, using Shape modeling feature of Demantra. As many as 8 distinct shapes can be saved and used under this functionality.

...........................next step in S&OP process "Demand Planning/Review".............................................


Tuesday, June 9, 2009

How to extend Calendar to 2030 in Demantra

Problem: Demantra has calendar with dates only till 2010, as you could have possible seen in table INPUTS too. With 2009 going on, customers need the calendar to be extended way further in future.

Solution: Oracle has released a patch for this and is now available on Metalink for download.

Details: If your version of Demantra has INPUTS table extending only till 2010, then you need to refer to metalink note (551814.1). Based on which version of Demantra you are running, you can download specific patch to resolve your problem.

Remember that this patch would only populate standard columns and any custom columns representing your custom calendars will need manual intervention. You can populate your custom column upto 2030, once this patch extends the records to dates till 2030.

Metalink note: 551814.1
Demantra Versions applicable: 6.2.6, 7.0.2, 7.1.1, 7.2.0.X

Demantra 7.2.1 integration with Siebel 7.8

In response to a mail query:

"Newly released integration pack between Siebel 7.8 with Demantra 7.2.1 is now available for download from Oracle, after prior approval from Oracle Development team. Remember this integration package is still a controlled release targeted only for a specific customer segement.

NOTE: This release isnt a public one.

Metalink note id 470574.1, shall be referred for more details about this release and for patch name and numbers. "

Wednesday, June 3, 2009

Notes from Today's Webcast on "The Key to Optimizing Demantra Worksheet Performance"

Today's webcast was another session full of information on how to ensure that you are getting best performance from Demantra worksheets. Few key points to take away were:

1. At times JAVA is the culprit for a degraded performance of worksheets
2. End users machine specific setups can help improve performance as well
3. Database maintenance plays key role too
4. Application server settings based on number of concurrent users comes handy too.

The session covered various issues and resolutions for them, it was nicely presented by dividing in short term and long term solutions.

Short term solutions which were discussed in today's session focused on:
- Ensuring End user machines meet minimal system requirements
- Setting up the heap size (Xmx) to maximum possible
- Guidelines to end users for minimizing other applications run during Demantra usage
- Worksheets shall be reviewed and usage of filters is highly recommended
- Setting up params related to Application Server (like MaxUpdateThreads, etc.)
- Running Rebuild_Schema procs to ensure no chain rows exist
- Running Drop_temp to ensure temporary tables aren't eating up space

In long term strategy, few key suggestions were:
- Ensuring strong network connection for end users
- Providing separate tablespace for key tables and their indexes (e.g. sales_data, mdp_matrix etc.)

For complete session coverage and details of all the solutions, you can go to Oracle Community - Demantra Solutions. (or refer to metalink note 800030.1)

Wednesday, May 27, 2009

Upcoming Demantra Webcast from Oracle

Another solution advisory webcast will be happening on 3rd June 09, this webcast comes again from newly build Oracle Support Community for Demantra Solutions. The subject for this webcast is "Optimizing worksheet Performance", more details for the webcast can be found under metalink note with document ID 801835.1. 

"Upcoming Demantra Solutions Advisor Webcasts

Advisor Webcasts offer a convenient way for you to interact with professional, technical, and application experts regarding topics such as troubleshooting tips, best practices, new release information and more.

Webcast: The Key to Optimizing Demantra Worksheet Performance

Topics will include:
  • Java Plugin Settings
  • Creating Worksheets in the optimal manner
  • Backend Database Checks
  • Application Server Settings
  • Other options when your worksheet performance doesn't meet your needs

A short, live demonstration and question and answer period will be included. " 

You can register for this webcast from the link provided in the metalink note. (Id provided at the beginning of this post).

Friday, May 22, 2009

Forecasting Basics - revisited

Here is a good presentation on basics of Forecasting....

Thursday, May 14, 2009

Forecasting Basics: Qualitative Approach

Not always you as a Demand Planner have luxury of sitting on top of good amount of historical data for predicting demand of various products. For new products being introduced into the market and other scenarios when data available isn't sufficient, then one needs to utilize their judgement and intuition. This can be best addressed by using collective expert opinions in making forecasts and the process is called "Qualitative method" in forecasting. 

"Qualitative Techniques"Definition: "Estimating method that relies on expert human judgment combined with a rating scale, instead of on hard (measurable and verifiable) data."

Few known methods used are:
1. Expert Inputs
Sales, Marketing and Management folks bring expertise opinion towards making accurate forecast predictions. Even with quantitative forecast in place, Expert inputs can modify and adjust forecast numbers to improve it's accuracy. 

2. Delphi method
Experts anonymously answer a questionnaire, which is later revisited to review the responses. The process provides flexibility of revising their earlier answers based on the feed backs. This process leads to answers converging on every round and every time improving the accuracy. 

3. Analogy/Attribute/Assumption based Forecasting
Forecast based on analogy to similar products. 

4. Market Research
Creating forecast based on market &  sales analysis along with Consumer research on   products.

More reading material @
1. Forecasting Techniques, Part 2: Qualitative Methods
2. Measuring Forecast Accuracy : A Tutorial :  Qualitative Methods


Thursday, May 7, 2009

New Oracle Support Community for Demantra

Oracle Support team has provided another platform for collaborating with fellow consultants and experts on Demantra, at Oracle's new Community "Demantra Solutions". For all the metalink users, this community can come very handy to raise various issues faced for getting an answer from Oracle directly, or from community members. 

The community's documents scetion has Notes and Tips shared by experts on various Demantra issues and topics.  Another attractive feature of Demantra community is Webcasts done on regular basis on variety of topics. 


Access the metalink, and go to the "Community" tab follow the instructions and you would reach this portal.  

Wednesday, April 8, 2009

News: Supply Chain Fusion Implements Oracle Demantra's BAL Tool

PALO ALTO, Calif., Apr 06, 2009 (BUSINESS WIRE) -- Supply Chain Fusion, Inc, a leader in Demantra solutions, is one of the first companies to leverage Oracle's new Business Application Language (BAL) tool to automate an upgrade of Oracle's Demantra.

The new Business Application Language Utility in version 7.2.0.2 of Demantra is a metadata management tool which compares business models between versions originating from Demantra 7.1.1 or later. The tool highlights the differences and allows for user intervention while migrating business objects. The utility enables comparisons between standard Demantra releases and customer extensions, allowing for a merge of business best practices.

By leveraging Oracle's new BAL tool, Supply Chain Fusion is able to achieve a significant reduction in time and required resources in the upgrade process, translating to savings for their clients...........

For complete story read the article published @ http://www.cnbc.com/id/30078092


Monday, March 23, 2009

2009 Readers' Choice Survey: Trade Promotion Management

2009 Readers' Choice Survey: Trade Promotion Management
Alliston Ackerman, Kara Romanow and Alarice Padilla
It is generally estimated that the average consumer goods company spends 20 percent of revenue on trade promotions, yet many companies are still unsure of their effectiveness or value. In an April 2008 article, Lora Cecere, vice president, Consumer Products, AMR Research, reported that only 54 percent of trade promotions would be evaluated in 2008. "Why? There is usually a disincentive to report and, as a result, companies do not force discipline in the process," she stated.

Gartner's Research Vice President, Industry Advisory Services - Manufacturing, Dale Hagemeyer, adds that while the business case for deploying Trade Promotion Management (TPM) is strong, obstacles lie in defining new processes and change management. Findings from aCGT research report ("Trade Promotion Optimization") supported this opinion: 56 percent of those surveyed said that change management was the single largest hurdle to deploying a solution.


SMB Market: Oracle

"This [Oracle Demantra] gives us the beginning impetus to understand where our peaks and valleys are, where we can optimize promotions and where we can increase revenues. Several hundred people now have a single unified view into what trade promotions are doing, and this leads to better reporting, better visibility and better accountability overall."
-- Mitch Margolis, CIO, NBTY Inc

............................ .................. Read complete article @http://www.consumergoods.com/ME2/dirmod.asp?sid=234FFCB1E8DF4FACBAFF60DFFD8AD37C&nm=&type=MultiPublishing&mod=PublishingTitles&mid=A533BDC6582947448BBFA37BFF6394FF&tier=4&id=7D4119A515B943B5BE2CE28DBE8F2C2F

Thursday, February 26, 2009

Trade Promotions Management & Demantra's PTP module

Trade Promotions Planning & Management
Promotions and marketing ads have good impact on amount of sales happening at stores. Ads all around builds up the consumer’s buying intention towards things they want from things they need. Thus promotions heavily contribute towards an increase in sales and raising needs for stores supplies to be planned accurately and precisely. Also where about of carrying out promotions needs to be planned carefully to ensure that end consumer gets benefitted, as well as the retailer and manufacturer.
Manufactures use their marketing funds for promotions execution in collaboration with retailers. The process of planning a promotion, analyzing it’s profitability, reviewing effect on sales & spending, and settling down the promotional allowance with retailer is a complex process. Good amount of money and time is spend towards the whole process working on Legacy applications like Excel sheet. Industry experts have recognized that having a Trade Promotion management application in place can widely influence the business, by improving the profitability of promotions and synchronizing planned volume with operations.
Fig. 1.1 Example of typical promotions

Oracle Demantra PTP offering:
Oracle Demantra’s solution for Trade promotions management needs is offered in module:
- Demantra Predictive Trade Planning (PTP)
->Option: Trade Promotion Management Optimizer (TPMO)
->Option: Deduction Settlement Management (DSM) (not covered in this discussion) Trade Promotions management is carried out in top-down fashion on Financial budgeting part & bottom-top approach on promotions planning part. It involves various activities which are readily supported by Oracle Demantra’s PTP module.

What Demantra Offers specially to Promotions Planning arena:
- Manage all promotions, accounts, trade spending collaboratively
- Generate separate Incremental Forecast broken down to Lift, Cannibalization, and Pre/Post effects.
- Simulate & Optimize promotions in a sandbox environment
- Integrated with Seibel & JD Edwards application

Quotas & Fund Management:
Funds are allocated to promotions and are allocated downwards. Demantra gives you a standard set of promotion funds like, Brand Development fund, Market Development Fund and Slotting Funds. Senior management enters base rate, development rate and fixed rates for BDFs & MDFs, they also key in Quota details in the system.
Demantra provides seeded worksheet for Quotas & Fund Management, which involves providing entry sheets point for senior management and review sheets for sales reps. Sales reps can easily view funds available against their sales quota at detailed level of each brand and promotion group.

Volume Tracking:
Planned volume tracking can be done with ease, using Demantra worksheet with views to show base and incremental volume, historical shipments and current year plans. This empowers planners to monitor and track account volumes, which are finally communicated to Operations. Funds planning is an integral part of Volume tracking, as based on planned volume decisions are made on budgets and spending for allowances and deals.

Planning Promotions:
Newly created promotion has “Unplanned” status and has no impact on funds or forecast. Once this promotion’s status is changed to “Planned” for usage in forecasting, it impacts the system. Planned promotions cost is taken out from the available fund balance and Engine when run, generates baseline and lift for it. System also calculates measures like profit for manufacturer and retailers, fund balance etc. which are later used for Cost Benefit reviews.
After the review, you can approve the promotion and status changes to “Approved”. Next, once a firm agreement is reached between retailer and manufacturer, you change the status to “Committed”.
Committed promotions are recognized by a batch process and are reflected in projections.
After the execution of promotion and payment to retailer done, status is changed to “Paid” and later to “Closed.

Fig. 1.2 Promotion Life cycle: Status Changes

Promotion Planning Environment:
Promotion planning environment empowers you to analyze historical and new planned promotions. You can create new promotions, see their impact on sales, spending and profitability, while reviewing corresponding sales quota.
Demantra provides standard worksheets like “Planning Environment” & “Promotion Comparison”, which serves as the platform for various activities:
- Create new promotion
- Modify existing promotion
- Compare promotions
- Delete promotions
Activity browser in the worksheets gives you a visual of events calendar, showing events hierarchy and their planned execution period.

Promotion Optimization:
Planning environment worksheet offers optimization feature, using which you can optimize your planned promotions. You can select optimization rules from Maximizing Revenue, Maximizing Profit or Maximizing Units for getting an optimized promotion suggestion. After running optimization you can review the optimized promotions proposed in “Optimization Comparison” worksheet. Later, you can accept the optimization results, which will in turn copy the optimized promotion definition into the original promotion.
Next you change the promotion status to Planned, so that it can be used in your current plan.

Post Promotion Review:
Once the promotion is executed by the retailer and actual sales figure arrive, you can evaluate promotion’s effect. You can review the planned vs. actual for promotions using worksheet “Promotion Evaluation”. This worksheet has multiple views, Event Projection, Event Actuals, Projected sales vs. Actuals, Projected Profit vs. Actuals and Lift decomposition. Lift decomposition breaks down the Lift calculated by engine into promotional effects like cannibalization, pre and post effects.
This review helps you in evaluating the performance of the executed promotion and reveals true profitability of promotion.
Demantra also provides more detailed review worksheets for your past promotions, “Promotion Evaluation – Details” and “Scenario Evaluation”

Typical high level Promotion Flow in Demantra:
1. Load historical promotions
2. Run Engine in Promotion Effectiveness mode
3. Create new promotions in Demantra Promotion Planning environment
4. Run Simulation for newly created promotion
5. Analyze promotion details and it’s impact
6. Approve promotion


.............will be putting details of the promotions planning flow in upcoming blogs soon.

Sunday, February 8, 2009

Supply Demand Chain Exec: Article on Next-Generation Sales and Operations Planning



Next-Generation Sales and Operations Planning: Tracking the Evolution from Tactical to Strategic Operational Excellence

A look at how progressive companies are taking a strategic, best practices-based approach to S&OP to enhance operations with increased visibility, reduction of costs andNext-Generation Sales and Operations Planning: Tracking the Evolution from Tactical to Strategic Operational Excellence improved business performance.

By Fred Baumann

The concept of sales and operations planning (S&OP) has been around for decades, primarily as a collaborative supply chain planning process designed to drive more accurate demand forecasts and align that demand with production capabilities to ensure timely fulfillment of customer orders. Many manufacturers still adhere to that view. Today, however, as companies face increased global competition and supply chain challenges, along with rising transportation costs and volatile economic and market conditions, a transformation of S&OP is occurring. Many industry-leading manufacturers — as well as consumer goods distributors and their retail partners — have been working towards elevating their S&OP processes to an enterprise-wide global scale in order to enhance supply chain visibility, reduce costs and achieve more integrated business planning and management. As a result, businesses of all types and sizes are now discovering how this next generation of S&OP can actually become a mission-critical element of an integrated business management strategy.

.................... Read the complete article @ "http://www.sdcexec.com/web/online/Demand-Management-Trends/Next-Generation-Sales-and-Operations-Planning--Tracking-the-Evolution-from-Tactical-to-Strategic-Operational-Excellence/22$10881 "

IT SHOW CASE Article on Next Generation demand planning

Next generation demand planning


"A strategic approach to profitability explained by Infor's Andrew Kinder, director, product marketing SCM

Monday, 22 December 2008

A decade ago, thanks to the increase in computing power, companies began to improve the efficiency of their supply chain by identifying trends in data. The concept of Demand Planning and Forecasting enabled retailers, distributors, and manufacturers to accurately forecast the demand for a particular product during a given time period. Retailers could tell manufacturers (and often the other way around) who could then tell suppliers how much of a product was required to meet anticipated demand. This improved service levels, while reducing unused inventory and ensured stock was kept to a minimum.

This was fine ten years ago, when margins were healthier and the pressure of competition from half way around the globe was not as intense. Times have changed and competition is heating up.  Pricing pressures are now eroding margins and companies are looking for efficiencies throughout their organisations...................................................Read the complete article "http://www.itshowcase.co.uk/News/2008-12-22/Next-generation-demand-planning"

Perspectives on Managing through Difficult Times