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    Inc. o In 1979 Grace sold the company back to the original owner (Pietro Barilla) - Barilla had a successful return - ANNUAL GROWTH RATE OVER 21% - In 1990 Barilla made up o 35% of pasta sold in Italy  32% Barilla brand  3% market share Voiello & Braibanti brand o 22% in Europe o Barilla held 29% share of Italian bakery-products market - In 1990 Barilla organized into 7 divisions o 3 pasta divisions  Barilla  Voiello  Braibanti o Bakery Products Division  Manufacturing medium

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    Barilla SpA (A) Case Study Analysis 2 Diagnose the underlying causes of the difficulties that the JITD program was created to solve. What are the benefits and drawback of this program? Brando Vitali‚ Barilla’s director of logistics‚ proposed the idea of Just-In-Time Distribution (JITD) in the 1980’s as an alternative to Barilla’s traditional practice of delivering products to their distributors (Hammond‚ 1). Instead of distributing Barilla’s products based on the orders the distributors

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    BARILLA CASE STUDY REPORT 1. Introduction Barilla was founded in 1875 in Parma‚ Italy by Pietro Barilla. It used to be a small store that sold pasta and bakery products. In the 1960s‚ it differentiates itself from competitors by producing high quality product with noticeable packaging and marketing campaign. In the 1970s‚ due to the big investment for pasta plant‚ Barilla was in huge debt and was sold to WR Grace (a multi national firm). Followed in 1979‚ the Barilla brother had enough money

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    EXECUTIVE SUMMARY Barilla SpA‚ world’s largest manufacturer of pasta based in Italy is experiencing extreme demand variability resulting to operational inefficiency and increased cost. To combat the key issues stated my decision is to implement the Just In Time Distribution (JITD). This new system‚ contrary to current system Barilla has will eliminate Bullwhip effect and stock outs by having centralized information‚ there will be data transparency between Barilla and distributors. Distributors will

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    The Bullwhip Effect and Barilla SpA The Bullwhip Effect is an observed phenomenon in forecast-driven distribution channels where there is variability up the supply chain. Some of its causes are: Dependent demand processing Forecast Errors Adjustment of inventory control parameters with each demand observation Lead Time Variability (forecast error during replenishment lead time) Lot-sizing/order synchronization Trade promotion and forward buying Anticipation of shortages One way

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    Barilla SpA * The spaghetti incident - Maastricht University School of Business and Economics International Executive Master of Finance and Control 20 April 2012 Course – Logistics Prof. Dr. Allard van Riel Pauline Henselmans Jetse van de Kamp Ze Zhu Thiago Barros de Oliveira Rene Lorrier Contents 1. Reasons for the increase in variability in demand in Barilla’s supply chain 3 1.1 Distributed inventories‚ local optimization 3 1.2 Lack of inventory information and

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    Supply Chain Management Assignment 3: Supply Chain Coordination Describe Barilla’s manufacturing and distribution operations. Manufacturing: Barilla has 25 plants‚ including large flour mills‚ pasta plants‚ and fresh bread‚ as well as plants producing specialty products. Raw materials‚ in the manufacturing process‚ were transformed to packaged pasta on fully-automated 120 meter long production lines. The plants were specialized by the type of pasta they would produce‚ with the primary distinction

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    What are the reasons for the increase in variability in Barilla’s supply chain? Barilla gave volume reductions for the merchants ordering capacity fully loaded quantities‚ in turn causing merchants to place more supply orders than necessary leaving their inventory levels high. This meant that the retailers did not have to order as often due to high inventory rates on hand. There is also a weekly change in customer demand for the pasta produce. The lack of information to customer demand data in

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    Case  Memo  –  Barilla  SpA   Student  #:  68979111     Giorgio  Maggiali‚  as  director  of  Logistics  for  Barilla  SpA‚  was  acutely  aware  of  the   growing  burden  that  demand  fluctuations  imposed  on  the  company’s  manufacturing   and  distribution  system.  In  order  to  address  this  issue‚  he  proposed  the  innovative   idea  of  Just-­‐in-­‐Time

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    Barilla spA case analysis Barilla SpA‚ an Italian pasta manufacturer‚ is experiencing amplified levels of inefficiencies and rising costs due to variability in demand from its distributors. The main problem addressed in this case is how to effectively implement JITD system suggested by Giorgio Magialli‚ the Director of Logistics by resolving the issue of gaining control over the fluctuating demand. Barilla has a very complex distribution network including independent third party distributors and

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