Barilla Case. To make Barilla, the number one manufacturer of pasta Barilla employs massive state of the art factories that can not only produce mass quantities, but produce the variety of pasta to satisfy the world.

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Barilla Case Write-Up                                                                        

Barilla and JITD

In 1990 Barilla is the largest pasta manufacturer in the world.   It manufactures 35% of all pasta sold in Italy, and 22% of all pasta sold in Europe.  Barilla markets extensively through advertising and trade promotions for all of its divisions: pasta, bakery, fresh bread, catering, and international.  In it’s product categories, Barilla has fresh and dry products.  The dry products (dry pasta, dried toast, cookies etc.) are offered in about 800 different SKU’s.   Pasta alone is made in 200 different shapes and sizes and is sold via 470 different SKU’s.  Barilla caters to it’s consumers of pasta with three different pasta divisions (Barilla, Voiello, and Braibanti), each at a different price point.  To make Barilla, the number one manufacturer of pasta Barilla employs massive state of the art factories that can not only produce mass quantities, but produce the variety of pasta to satisfy the world.  In fact, just one of its factories, the Pedrignano plant, is capable of producing 900,000 kilos of pasta a day.  

The competitive dimensions important for the logistics flow of an item like pasta are flexibility and delivery.  The metrics to focus on include order size (Q) and re-order (R) quantity across various supply chain entities (retailers, DOs, CDCs).  The efficiencies of information flow among various entities, as well as the response rate, queue size and lead time at various points in the distribution channels are also important.  For Barilla factories, the setup costs and batch sizes to produce it’s various products along with the ease of changing among various batch loads also needs to be measured.   These metrics, when combined, can improve flexibility and delivery requirements among the various pasta product lines to the end consumer.

The major factors (enemies of flow) that contribute to inefficiencies in supply chain are variability of demand in orders from the DO’s and the batching issues at Barilla.  Each DO is different in size, and each DO has a different sales volume each week as the demand for Barilla dry products varies from week to week.  Most DO’s are doing simple periodic-review inventory systems, and ordering each week.  There is no sophisticated method of tracking or forecasting ordering quantities.  The end result is that demand variability from DO’s to Barilla puts a severe strain on Barilla’s manufacturing and logistics flow lines.  Furthermore, even though Barilla produces a variety of pasta styles, it takes a long time to switch over from a batch of one pasta type to another.  “For example, the specific sequence of pasta production necessitated by the tight heat and humidity specifications in the tunnel kiln made it difficult to quickly produce a particular pasta that had been sold out due to unexpectedly high demand.” (Barilla Case, Page 7)

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To take a look at the logistics situation at Barilla, we will look at both the quantitative and qualitative aspects of the situation.  Following is the quantitative analysis of implementing a Just In Time Distribution (JITD) system through a cross-docking process at the CDC level (please see the accompanying spreadsheet for detailed metrics):

  1. Pre-JITD: The cycle stock is 200 units and the safety stock is 218 units at the DO.  The pipeline stock that DO owns between CDC and DO is 280 units.
  2. Pre-JITD: A different Q and R value that delivers a lower cost policy than ...

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