Question

1.) Name a specific company, or organization that you are interested in, and identify 3 specific strategies that they should consider to improve their operational performance. In your answer discuss the obstacles to their achieving these operational improvements, and what they should do to overcome these obstacles. (Note operational challenges – not sales and marketing) Not Apple, Walmart, or Cargill.

2.) What are the inputs and outputs of the Master scheduling process? Why is this process important? What are 3 obstacles to developing an accurate Master Schedule?

What is a strategy for overcoming each of these three obstacles? (3 x 1). How does an inaccurate master schedule potentially impact manufacturing cost?

3.) Table 9.3 on p. 143 of your textbook relates to the cost of quality. Name the 4, describe the 4 categories of quality and give an example of each of the four other than what is discussed in the textbook. Offer a strategy for how you would reduce the likelihood of internal and external failure.

4.) Identify 3 strategies for dealing with uneven demand. Then identify 3 strategies for successfully dealing with demand that increases suddenly and unexpectedly? (6 total strategies) How does responding to uneven demand relate to product quality?

Answer 1

1. Company - Mondelez International

Operational challenges -

Product Recall - to identify the root cause of product recall , track and trace the product in the value chain and hold it within few hours. To overcome this a global system is needed which can integrate system globally and resolve this issue.

Inventory Management - Inventory allocation management is required so as to reduce inventory cost and maximize sales

Demand Planning - capture and fulfil uneven demand

2. Part 1 Master Scheduling Process :

inputs - placed orders ,forecasted demand , current availability of stocks

output : Master production schedule - when and how much to produce

Part 2 : Challenges

a. Incuarate forecast

b.uneven demand  

c. Constrained Resources

3. Insufficient data