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Case study - Petroleum Industry Distribution Optimization System


Bob Blightman - Cirrus

System Overview
The system was developed by Cirrus, building on its extensive experience of modeling all aspects of distribution within the food, pharmaceutical and retail sectors. The system is generally customized to meet each user's special requirements although there is a central optimization core around which each installation is based. Usually the customization process takes only a short time and the system can be installed within a 2-4 week period, including training and documentation. The system is now in use at some 25 user sites in the UK, the rest of Europe, Brazil, South Africa and India where it is regularly used to ensure the "optimum" supply chain strategy is being adopted. The objectives of the primary and secondary distribution optimization system are as follows:-

  • To identify the optimum (least cost) way of delivering forecast demand to retail and commercial sites
  • To calculate the optimum (least cost) way of delivering demand to the depots from the primary source through pipeline, sea, rail or road
  • To allocate delivery points to the least cost depot
  • To analyze effect of closing a depot
  • To analyze sensitivity of costs to marketing activity
  • To evaluate exchange agreements
  • To calculate number of vehicles and drivers required at a depot
  • To identify potential capacity constraints at depots
  • To calculate total cost of delivering product
  • To calculate the cost of a constraint

In calculating the "optimum" solution, the model takes into account capacity constraints at specific depots, product availability, vehicle bases and back hauling opportunities. Optimization is achieved through the use of Xpress-MP, seamlessly embedded within the total system. The model is able to deal with "step function" costs (e.g. as volumes increase, costs per litre may decrease), and 0/1 variables (e.g. should we close any depots?)

The model is driven by a number of sets of data that describe the location of customer sites, sources of supply, depots and relevant physical constraints. The main elements of input data are:

Product data

Sources of Supply data, including refineries, exchange agreements and purchases, reflecting capacities, cost relationships and the available linkages to the depots

  • Depot Data, reflecting capacities and cost relationships
  • Customer Data
  • Demand Data
  • Time and Distance Matrix, which can be generated through the use of other tools embedded within the system e.g. Mapinfo.

The latest version of the system includes an ability to model multi-drop operations. The system provides a wide range of results following the optimization process. These results are available as either numeric values or in the form of graphical reports. The system calculates the total cost of the solution and lists the depot that each customer has been allocated to.

The system makes use of a mapping module that displays a map of the relevant country and pinpoints the location of each depot and delivery point. The user can "click" onto any one of the points for information about the selected depot of delivery point.

The user can also select and zoom into specific areas of the country for a more detailed representation of an area. The delivery points are colour coded to indicate which depot they have been allocated to. The user can also select specific display criteria to highlight sites possessing particular criteria. For example it is possible to display all sites that cost more than a specified cost per litre to deliver, or show the most profitable sites. Other reports show how much volume has been passed through each depot shown as a % of capacity.

Alternatively, the system can provide output such that it can be imported into other GIS tools (e.g. MapInfo)

  • Other reports include:
  • Supply cost to each customer per litre
  • Delivery cost
  • Trip Distance and time by customer
  • Customers share of fixed costs
  • Customers total annual cost
  • Comparison with previous allocation
  • Total tonnage by depot by grade plotted against capacity
  • Total trips per week and vehicles required
  • Maximum distance traveled from depot
  • Number of drivers/vehicles required
  • Amount supplied by each source
  • The value of exchange agreements
  • Sensitivities on constraints

For more information, please contact Bob Blightman at bb@cirrusconsulting.com, telephone (+44) 1252 795610

 

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