logisitik

Switch to desktop Register Login


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

When it comes to best practice in operations management, few would dispute the value and credibility of sales and operations planning (S&OP).

The problem, however, is that while many believe they understand S&OP, they don’t always realise its full potential because they fail to grasp the true fundamentals of the process. That isn’t necessarily their fault; to some extent, S&OP has lost its way in recent years. Changes in the economy and the dynamics of the manufacturing supply chain, plus the actions and attitudes of manufacturers to those changes, have all had their part to play. And it is also true to say that some S&OP practitioners themselves, have contributed to the devaluation of S&OP as a management process.

Published in Best Practices
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 Forecasting Management
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 Forecasting Management
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 Forecasting Management
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 Forecasting Management
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 Forecasting Management
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 Forecasting Management

© 2009-2012 Logisitik - All Rights Reserved

Top Desktop version