Author Question: Define and discuss Collaborative Planning, Forecasting, and Replenishment (CPFR) and its impact on ... (Read 53 times)

Caiter2013

  • Hero Member
  • *****
  • Posts: 607
Define and discuss Collaborative Planning, Forecasting, and Replenishment (CPFR) and its impact on supply chain management.

Question 2

A(n) ____ network is a form of artificial intelligence in which a computer is programmed to mimic the way that people process information.
 a. cognitive
  b. neural
  c. schematic
  d. intelligent



Fayaz00962

  • Sr. Member
  • ****
  • Posts: 330
Answer to Question 1

One of the most recent initiatives aimed at achieving true supply chain integration is collaborative planning, forecasting, and replenishment (CPFR). CPFR has become recognized as a breakthrough business model for planning, forecasting, and replenishment. Using this approach, retailers, distributors, and manufacturers can utilize available Internet-based technologies to collaborate on operational planning through execution. Transportation providers have now been included with the concept of collaborative transportation management (CTM). Simply put, CPFR allows trading partners to agree to a single forecast for an item where each partner translates this forecast into a single execution plan. This replaces the traditional method of forecasting where each trading partner developed its own forecast for an item and each forecast was different for each partner.

CPFR is a sequence of several business processes that include the consumer, retailer, and manufacturer. The four major processes are (1) strategy and planning, (2) demand and supply management, (3) execution, and (4) analysis. Two aspects of this model are important to note. First, it includes the cooperation and exchange of data among business partners. Second, it is a continuous, closed-loop process that uses feedback (analysis) as input for strategy and planning.

CPFR emphasizes a sharing of consumer purchasing data (or point-of-sale data) as well as forecasts at retail among and between trading partners for the purpose of helping to manage supply chain activities. From these data, the manufacturer analyzes its ability to meet the forecasted demand. If it cannot meet the demand, a collaborative effort is undertaken between the retailer and manufacturer to arrive at a mutually agreed-upon forecast from which execution plans are developed. The strength of CPFR is that it provides a single forecast from which trading partners can develop manufacturing strategies, replenishment strategies, and merchandising strategies.

The CPFR process begins with the sharing of marketing plans between trading partners. Once an agreement is reached on the timing and planned sales of specific products, and a commitment is made to follow that plan closely, the plan is then used to create a forecast, by stock-keeping unit (SKU), by week, and by quantity.

Answer to Question 2

B



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

There used to be a metric calendar, as well as metric clocks. The metric calendar, or "French Republican Calendar" divided the year into 12 months, but each month was divided into three 10-day weeks. Each day had 10 decimal hours. Each hour had 100 decimal minutes. Due to lack of popularity, the metric clocks and calendars were ended in 1795, three years after they had been first marketed.

Did you know?

Oxytocin is recommended only for pregnancies that have a medical reason for inducing labor (such as eclampsia) and is not recommended for elective procedures or for making the birthing process more convenient.

Did you know?

This year, an estimated 1.4 million Americans will have a new or recurrent heart attack.

Did you know?

Multiple sclerosis is a condition wherein the body's nervous system is weakened by an autoimmune reaction that attacks the myelin sheaths of neurons.

Did you know?

Eat fiber! A diet high in fiber can help lower cholesterol levels by as much as 10%.

For a complete list of videos, visit our video library