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Barilla Case Study

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1. Reasons for variability are as follows: i. ii. iii. iv. Forecasting of the demand due to the non-usage of forecasting techniques for demand. Batch ordering due to transportation volume discounts and irregular demands Average lead time lead to variability and decreased service levels Fluctuation of the price: volume discount with different discount rates causes variations in demand including the incentives provided for sales representative on achieving the sales goal. v. vi. Shortage of order quantity range and large number of stock keeping units Non provision of quality information and data at each level of supply chain in the process, therefore the bullwhip effect is noticed ad there is unnecessary inventory for distributors and retailers.

2. The firm can cope with increase in variability by: i. Supervision of order lead and information time which involves utilizing better production, planning, scheduling and transportation methods (using cross-docking and in the other hand exchanging information in the supply chain for instance using electronic data exchange). ii. Concentration on constant low competitive price or everyday low pricing (EDLP) strategies for reaching stable demand. iii. Counting on actual customer demand data and information thereafter, implementing the Just In Time Distribution (JITD) program. In addition with considering the Min and Max order quantity, variation in demand will decrease in whole supply chain. iv. Barilla can contemplate on execution of Vendor Management Inventory (VMI) by grand distributors or organized distributors which have considerable effect on performance level of supply chain.

v.

Reduction of SKU numbers and implementing new incentive policy and encouraging DOs and GDs adopting better forecasting method.

3.

Impact of transferring demand information across the supply chain are: i. Reduced variation in demand

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