Barilla SpA (A) Case Table of Contents Executive Summary 3 Issue Identification and Root Case Analysis 4 Alternatives and Options 7 Recommendations and Implementation 8 Monitor and Control
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Executive Summary: Barilla was the largest pasta manufacturer in the world‚ making 35% of all pasta sold in Italy and 22% of all pasta sold in Europe. In addition‚ Barilla held a 29% share of the Italian bakery-products market. Competing in a crowded field of over 2‚000 Italian pasta manufacturers and the Italian pasta market as a whole was relatively flat‚ growing less than 1% per year. Per capita pasta consumption in Italy averaged nearly 18 kilos per year and relatively consistent throughout
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the perspective of Barilla and an independent distributor. What kind of products might such a program is best suited for? The pasta supply chain suffered high inventory levels at each segment of the supply chain; stock-outs at the distributor’s level and the customer’s demand variability magnified the problem. Availability of demand information at store levels is hard to get. A JITD system utilizes a vendor-controlled inventory scheme to combat a distribution problem of Barilla SpA. It eliminates
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BARILLA SPA (A) BUSINESS CASE AS PRESENTED BY GIORGIO MAGGIALI TABLE OF CONTENTS Executive Summary P2 Issue Identification P3 Root Cause Analysis P4-6 Alternatives and Options P7-9 Recommendations P10-11 Implementation P12-13 Monitor and Control P14 Exhibit P15 Executive Summary Barilla SpA (A) continues to be a market leader in pasta production. We are currently experiencing a growing burden of demand fluctuations for our dry pasta products putting extreme demand
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Barilla –Supply Chain Inventory Management Barilla TABLE OF CONTENTS EXECUTIVE SUMMARY 3 ISSUES IDENTIFICATION 3 ENVIRONMENTAL AND ROOT CAUSE ANALYSIS 3 ALTERNATIVES AND/OR OPTIONS 3 RECOMMENDATION AND IMPLEMENTATION: 3-4 Executive Summary: In an attempt to control inventory swings‚ reduce costs‚ and improve sales we have introduced the JITD initiative. This initiative has been a failure
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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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Executive Summary Barilla SpA‚ an Italian pasta manufacturer‚ is experiencing amplified levels of inefficiencies and rising costs due to variability in demand from its distributors. In order to bring things back in order and to improve margins‚ Giorgio Magialli‚ the Director of Logistics at Barilla wants to implement a Just-In-Time Distribution (JITD) system that was proposed by his predecessor Brando Vitali. This system is entirely different from the existing setup and is being opposed by both
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Executive Summary Giorgio Maggiali is the director of Logistics for Barilla and was appointed to this position when his predecessor Brando Vitati was promoted. Vitati had proposed a Just in Time Delivery (JITD) model for Barilla. Vitati has commented on the “thinning margins” the industry was experiencing and the need to “take costs out of our distribution channel without compromising service”. He felt operations could be improved if Barilla was responsible for determining the quantities and delivery
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Barilla SpA Case Study Define the Problem: Describe the type of case and what problem(s) or issue(s) should be the focus for your analysis. Type: Supply Chain Problems/Issues: - Extreme demand fluctuations – week-to-week variation in distributors order pattern‚ strained Barilla’s manufacturing and logistics operations: high inventory‚ stock out‚ low fill rate to customers. - Pressures to manufacturing in terms of production lead-time and availability of the product - High inventory cost
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Case Presentation Barilla SpA Introduction Company & Industry background • World’s largest pasta producer in 1990 • Pasta Share - 35% in Italy and 22% in Europe Channels of Distribution • Products divided in 2 categories – “Fresh” and “Dry” • Fresh Products had 21 day Shelf Lives • Dry Products had Long ( 18 to 24 Months) or Medium(10 to 12 weeks) Shelf Lives • Retail Outlets – Small independent The Issue • During the late 1980s‚ Barilla suffered increasing operational inefficiencies and
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