We consider the existing beer supply chain in Australia comprising:
- 3 beer stations which supply beef to the customers
- Customers located in the 100 largest cities of Australia
We will suppose that:
- The supply chain covers 10% of total demand of the cities
- Cost of transportation from suppliers to distribution centers is twice less than cost of transportation from distribution centers to customers
We do not deal with absolute value of the transportation cost, but the ratio of transportation cost applied to two echelons is important because it affects the optimal locations of the distribution centers.
Find the best places for 4 distribution centers in cities with minimum population of 15,000 people considering movement on roads as well as known locations of suppliers and customers.
The result of the experiment with the optimal DC locations considering all the defined restrictions is available in the New Site Locations.
The data on product flows, distance coverage by demand and demand coverage by distance is given in the corresponding tables:
- Product Flows - shows detailed statistics on the flows of the supply chain within the specified period:
- Flow – the amount of product
- Distance – the distance between the source and the destination of the product
- Flow Cost Estimation – the estimated cost of the product flow
- Distance Coverage by Demand - shows detailed statistics on the distance to cover to satisfy a certain percentage of the demand:
- Demand (%) – the fraction of demand satisfied
- Demand (kg) – the satisfied demand
- Distance to Site – the distance to cover to satisfy the corresponding amount of demand
- Demand Coverage by Distance (and total demand)- shows detailed statistics on the demand to satisfy within a certain distance per site created by the GFA experiment:
- Distance to Site – the covered distance
- Demand (%) – the fraction of demand satisfied within the corresponding covered distance
- Demand (kg) – the satisfied demand within the corresponding covered distance
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