Barilla SpA (A) Case Analysis Teona Omiadze‚ Nino Tskhvariashvili‚ Mari Zaridze School of Economics‚ Business and Administration of the University of Georgia Instructor: Natia Zedgenidze Tbilisi 2011 Table of Contents Executive Summary……………………………………………………………….3 Introduction………………………………………………………………………..4 Problem Description……………………………………………………………….5 External and Internal Resistances to JITD program……………………………….9 Solution…………………………………………………………………………....11 Recommendations to the
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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 (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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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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[Type the company name] | Barilla Sp(A) Case Study | | | | | Barilla JITD Case Study Just in time distribution (JITD) was designed to address the fluctuating demand of products that created additional costs in production‚ scheduling‚ and transportation. Barilla was to blame for several of these underlying problems. For example‚ Barilla offered transportation discounts‚ volume discounts‚ 10-12 promotions throughout the year‚ as well as no maximum or minimum constraints on orders
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Barilla’s pasta supply chain suffers from classic bullwhip-effect problems: High inventory levels maintained at each level of the supply chain; frequent stockouts at the distribution level; demand variability exaggeration up the chain‚ and aggravated by constant sales promotions‚ Full Truck Load(FTL) and other volume incentives; and a lack of information on which to forecast demand. In addition‚ the increasing variability of Barilla’s dry pasta product (about 800 SKUs) intensifies all the problems
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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 Barilla SpA‚ an Italian pasta manufacturer‚ is experiencing greater levels of inefficiencies and rising costs due to variability in demand from its distributors. In order to restore things to 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 completely different from the existing setup and is being opposed by both the
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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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Harvard Business School 9-694-046 Rev.JuneU‚ 1994 Barilla SpA (A) Giorgio Maggiali was becoming increasingly frustrated. As director of Logistics for the world’s largest pasta producer‚ Barilla SpA1‚ he was acutely aware of the growing burden that demand fluctuations imposed on the cornpany’s manufacturing and distribution system. Since his appointment in 1988 as Director of Logistics‚ he had been trying to make headway on an innovative idea proposed by Brando Vitali‚ who had served as Barilla’s
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