BMO3410 - Assessment 1QA
.docx
keyboard_arrow_up
School
Victoria University *
*We aren’t endorsed by this school
Course
3410
Subject
Industrial Engineering
Date
Dec 6, 2023
Type
docx
Pages
2
Uploaded by DukeSardineMaster321
BMO3410: Supply Chain Analytic
Assessment 1: Practical ERP-based Demand management module Details
Question 1
: What is Proportional factor? What is the sum total of the proportional
factors? Consider a product family having four products, what will be the proportional
factor (in percentage) given equal weights to each product?
The proportional factor is the percentage of the total demand that is attributable to a particular
product. The sum total of the proportional factors is 100%.
If a product family having four products, the proportional
factor (in percentage) given equal weights to each product would be 25%, and the total demand
for the product family would be 100%
Question 2
: What is seasonal trend model? How does it differ from Seasonal models and
trend models? Explore other models in the forecast execution section.
Seasonal trend model is a time series forecasting technique that aims to decompose a time
series data into its underlying components: trend, seasonality, and residual (random variation or
noise). This decomposition allows for a better understanding of the underlying patterns and
fluctuations within the data, which can then be used to make more accurate forecasts.
On the other hand, trend models represents the long-term movement or direction in the data. It
captures the overall upward or downward movement in the series over an extended period of
time.
Hence, seasonal models only captures the repeating, periodic patterns in the data that occur at
fixed intervals, often corresponding to specific seasons, months, weeks, or days. Seasonality can
be thought of as the regular fluctuations in the data that repeat over time.
Other models in forecast execution section: Residual - The residual component represents the
random noise or variability that cannot be explained by the trend and seasonality. It includes any
irregularities or unexpected fluctuations in the data that are not accounted for by the model.
Question 3
: Explain how ERP systems can help you understand your companies
forecasting.
ERP systems play an important role in improving the company’s efficiency by automating and provide a
systematic approach to create a forecast from historical data. Hence, it can help my company to make
better decisions by providing insights into its e-commerce business. For example, the company can use
its ERP systems to track sales trends, identify customer segments, and optimize its marketing campaigns,
reduce errors in which would result in customer satisfactions.
Question 4
: What did you learn about the nature and outcomes of different forecasting
techniques from the exercise?
The choice of forecasting technique depends on many factors, but one key difference between
established and new products or services is that established products or services have historical
sales data that can be used to predict future demand. New products or services often lack this
data, making market research techniques more important.
I also learned that the suitability of each method is contingent on a number of criteria, including
the facts that are at hand, the kind of product or service being offered, and the objectives of the
company.
One of the most important distinctions between well-established and newly introduced goods or
services is that the former have historical sales data that can be used to predict the latter's
future demand. Considering that new goods or services sometimes lack this data, market
research approaches have become more vital.
Question 5
: How did this experience help upskill yourself in terms of understanding the
capabilities on an ERP system?
As I interact with the ERP system and work through its capabilities, I have encounter challenges and
roadblocks. This enhanced my problem-solving skills as I’ve found creative ways to overcome obstacles.
ERP system also cultivated my attention to detail and data accuracy since accuracy is crucial when
working with an ERP system, as incorrect entries can have significant consequences. ERPs typically
integrate various departments and functions within an organization. Learning its capabilities has helped
me a broader understanding of how different parts of a business work together.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help