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Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494

Warning: Creating default object from empty value in /home4/cpc38/public_html/components/com_k2/models/item.php on line 494
Wednesday, 10 October 2012 13:27

Linear Model Forecasting Software

The time series model forecasting software predicts the future demand in the coming months.

Published in
Tuesday, 11 September 2012 13:39

Demand Chain Optimization

Managing the demand chain, from manufacturers through wholesalers, distributors and retailers and onto consumers, is a daunting task.

The numbers of Stock Keeping Units, outlets, supply sources, seasons and product characteristics are huge, and the degree of complexity in the supply chain is challenging. Creating efficiency in the demand chain requires a combination of art and science.

We need sound, scientifically-based replenishment methodologies, which incorporate statistical and operations research techniques, to analyze the richness of contemporary databases and to deduce patterns, trends, variabilities and the dynamics of customer demands. Such scientific techniques enable us to balance the various costs—inventory, transportation, handling, warehousing and other direct and indirect labor—while simultaneously providing optimal services for customers.

Published in
Wednesday, 21 October 2009 13:46

How to size a safety stock

A safety stock is used to prevent any stockout due to a variable demand and/or a variable delivery leadtime.

Published in
Monday, 02 November 2009 15:12

Forecasting with the time series model

Although this model looks slightly complicated, it can be easily modeled into Excel so you’ll find spreadsheets all ready for your own use in the template area.
The time series model relies on historical data and its principle is to plot the demand data on a graph over time that why it is called time series.

Published in
Friday, 23 October 2009 09:55

Forecast time horizons

Here the objective is to establish the demand forecast for a company. But there are different time horizons or levels of forecasting:

Published in
Monday, 02 November 2009 21:51

Understand the average forecasting models

The averaging models for a time series assume with some exceptions that there is no seasonal or trend effects.
These models only focus on the random variations, where models smoothed past data to predict the next period, and not more.

Published in
Tuesday, 03 November 2009 19:34

Exponential smoothing

Let’s now dig into the most popular forecasting methods: the simple exponential smoothing model to forecast the next period for a time series without trend, and the double exponential smoothing model taking into account a trend effect.

Published in
Wednesday, 04 November 2009 18:57

Double exponential smoothing

The simple exponential forecasting methods like the weighting moving average methods smoothes out data and there is a lag in the forecast relative to the actual data.
If there is a trend in the data, the forecast will be additionally inexact, that’s why the linear trend needs to be integrated in the exponential smoothing model.

Published in
Thursday, 05 November 2009 14:58

Tracking the forecasting performance

A  Forecast is by nature uncertain, so it is required to compare it to the actual sales in order to estimate its error or its forecasting performance.

There are 4 main indicators to assess the forecast accuracy:

Published in
Sunday, 27 November 2011 15:52

Efficient Demand Planning

The main goal of demand planning is to answer the following question:

"What the customer is expected to buy?"

It is critical to establish in the S&OP (Sales & Operations Planning) horizon - 18 months - what would be the company income in Unit and in Value ($) in order to plan accordingly the Supply plan.

Published in
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