Barilla SpA - Case Study Table of Contents I. Executive summary II. Issue Identification III. Environmental and Root Case Analysis IV. Alternatives and Options V. Recommendations VI. Implementation VII. Monitor and Control/ Conclusion I. Executive Summary My decision for this case is to implement the Just-In-Time Distribution (JITD) system. Barilla SpA‚ an Italian pasta manufacturer‚ is experiencing amplified levels of inefficiencies and rising
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first and lower level tier suppliers to keep up to date with IT technology that is need by Ford to stay up to speed in managing their production operations as intended is a major bottleneck within the supply chain. The lack of proper IT technology could result in miscommunication and
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Barilla SpA (Written Case Report) By Imran Chaudhry Overview: Barilla SpA one of the world’s largest pasta producer has growing burden of demand fluctuations and venialities on its manufacturing and distribution system. Giorgio Maggiali as director of logistics trying to implement idea of JITD (Just-in Time Delivery) so that Barilla’s own logistics department could manage more effectively delivery quantities and meet end consumer’s needs and more evenly distribute the workload on its
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Management Barilla Spa (A) Case Study Table of Contents Executive Summary 3 Issues Identification 4 Environmental and Root Cause Analysis 4 Fluctuating Demand: 4 Resistance to Changes: 5 Alternative and/or Options 5 Alternative #1 – Continue to promote the Just-in-time Distribution (JITD) initiative 5 Alternative #2 – Eliminate product focus sales strategies 5 Recommendations and Implementation 6 Monitor and Control 6 Executive Summary Sales representatives at the Barilla SpA
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CASE STUDY BARILLA SpA (A) Report on Supply Chain Inventory Management TABLE OF CONTENTS Executive Summary 3 Issue Identification 4 Issue Identification & Root Cause Analysis 5 Alternatives and options 7 Recommendations 9 Implementation 10 Monitor And Control 11 EXECUTIVE SUMMARY Barilla SpA (Barilla)‚ is an Italian largest pasta manufacturer in the world manufacturer that
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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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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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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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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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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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