Question: CASE STUDY ( SHOW ALL STEPS IN EXCEL?FORMULAS ALSO PLS ) CASE STUDY Managing a Merger at Lightning Networks After receiving regulatory approval from the

CASE STUDY(SHOW ALL STEPS IN EXCEL?FORMULAS ALSO PLS) CASE STUDY
Managing a Merger at Lightning Networks
After receiving regulatory approval from the European Union, Lightning Networks, a major
wireless carrier, and SatTV, the largest satellite TV provider in Europe, completed their 50
billion euro merger in 2016. After initial skepticism when the deal was first announced,
analysts had warmed to the idea of synergies in the merger. Lightning expected to benefit
from the large customer base of SatTV and the company announced that it expected
significant annual cost savings within three years of the merger. Simone Durand, senior VP
of supply chain at Lightning, was charged with identifying some cost reduction
opportunities. She decided to focus her initial attention on the distribution networks the two
companies used to fulfill demand for installation and repair products. The merger offered an
opportunity to combine the two distribution networks.
The Current Distribution Network
Any new installation or repair by Lightning or SatTV required a set of products for the
technician to complete the job. Rather than carrying these products with technicians, both
companies had decided to centralize product inventories in a few locations. Annual product
demand for the two companies across six regions in Europe was as shown in Table 5-16.
Lightning had served its product needs from three warehouses located in Madrid, Spain;
Rotterdam, Netherlands; and Krakow, Poland. SatTV had served its product needs from
three warehouses located in Toulouse, France; Munich, Germany; and Budapest, Hungary.
Each facility was specialized to handle either wireless or satellite products because of the
historical focus of the company it belonged to. The specialization, capacity, and annual fixed
cost for each facility were as shown in Table 5-17. The capacity of each warehouse is given
in terms of how much annual demand it can handle. From Table 5-17, observe that the
Madrid warehouse can serve demand of up to 370,000 units. The variable cost of shipping
one unit (either wireless or satellite) from each warehouse location to each market is shown
in Table 5-18.
The Network Options
Simone had a short term and a long term decision to make. In the short term, she had to
decide whether to make all the warehouses flexible or not. Making all warehouses flexible
required an investment equivalent to an additional annual cost of 200,000 euro. Flexible
warehouses, however, could be used to serve demand for both wireless and satellite
products.
In the longer term, Simone had to decide whether to restructure the distribution network.
She could choose to close some warehouses, leave others open as they were, or double the
capacity of some warehouses. Doubling the capacity of a warehouse would increase its
annual fixed cost by 80 percent. Thus, if the capacity of the Madrid warehouse was doubled,
its annual fixed cost would be 1,080,000 euro.
Closing a warehouse would also incur some cost, thus reducing the annual fixed cost that
could be saved. Simones team estimated that closing a warehouse would save 80 percent
of the annual fixed cost. Thus, closing the Madrid warehouse would still result in an annual
cost of 120,000 euro because only 80 percent of the fixed cost is saved.
Study Questions
1. What is the annual cost if Lightning uses the current network (with warehouses
specialized as in Table 5-17) optimally to meet European demand?
2. Should Simone make all warehouses flexible given the additional cost of 200,000
euro per year?
3. What supply chain network configuration do you recommend for the long term if
demand is as in Table 5-16? Should any warehouses be closed? Should any
warehouses see their capacity doubled?
4. What supply chain network configuration do you recommend for the long term if the
Northeast and Southeast demand is expected to increase by 30 percent while all
other demands remain as in Table 5-16? Should any warehouses be closed? Should
any warehouses see their capacity doubled?
 CASE STUDY(SHOW ALL STEPS IN EXCEL?FORMULAS ALSO PLS) CASE STUDY Managing

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