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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across the globe. While the immediate causes of WWII were manifold‚ they were deeply rooted in the aftermath of the Great War. Additionally‚ Japan’s calculated decision to force the United States into the conflict through the attack on Pearl Harbor further escalated the already brewing tensions. The war‚ its consequences‚ and the decisions made during this time had profound and lasting effects on both domestic and international affairs. Immediate and Underlying Causes of WWII‚ Relating to WWI The Treaty
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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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Family Nursing Diagnoses Marsha Ruckle Healthy Communities: Theory and Practice/405 November 19‚ 12 Helen Woolf Family Nursing Diagnoses Conducting a family assessment is a challenging and important step in the care of the client. It is essential to identify problems and situations inhibiting a family from practicing healthy behaviors and developing healthy habits
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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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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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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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What historical factors affect Ford’s ability to move to a built to order (BTO) model? Few of the historical factors affecting Ford’s ability to move to BTO are as follows: 1. Large number of suppliers: The fundamental issue for Ford is the management and control of their large database of their business partners‚ particularly suppliers and sub-suppliers. Unlike Dell‚ which has only about 50 suppliers‚ Ford has several thousand suppliers and operates in a more complex network of business
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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 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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