Barilla SpA Case Study Barilla SpA‚ the world’s biggest pasta manufacturer‚ has continuously experienced problems with increased costs and inefficiencies in their operation. The fluctuations in demand have caused Barilla SpA’s manufacturing costs‚ inventory costs‚ and distribution costs to go up. Issues that influenced the demand fluctuations are the discounts Barilla SpA offers on both price and transportation‚ the compensations for sales representatives that is based on the volume of goods they
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Management Barilla SpA‚ the multinational pasta maker‚ has a long-standing tradition – founded in 1877 by Pietro Barilla in Parma‚ Italy‚ it remains privately held by the fourth generation of Barilla family. The company’s portfolio includes Barilla‚ Mulino Bianco‚ Pavesi‚ Voiello‚ Alixir in Italy‚ as well as the Wasabröd (Sweden)‚ Misko (Greece)‚ Filiz (Turkey)‚ Yemina and Vesta (Mexico) trademarks abroad. The consolidated revenue of the Barilla Group – which includes Barilla and Lieken – increased
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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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[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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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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Distribution Centers (CDCs) and in its distributors’ distribution centers represent increasing financial burdens on both Barilla and its distribution partners. The tight heat and humidity specifications in the pasta dry process makes it difficult for Barilla to quickly respond to the huge fluctuation and uncertainty of demand form distributors. As a result‚ Barilla’s customer order fill rate is suffering and so does its manufacturing and distribution operation cost. Despite the excess stocks held
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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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state of Maharashtra. With a population of approximately seven million‚ the city has its fair share of problems associated with overpopulation; such as: pollution‚ traffic jams and shortage of real estate to name a few. If I were to change one thing about Pune‚ it would be the excess population of our city. Over the past decade‚ the population of Pune has nearly doubled. This rise in population has resulted in a dramatic increase in pollution. Almost every household in the city now owns a car. Without
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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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