Background
Boral Quarries SA has a portfolio of 7 quarries in the metropolitan area. Para Hills,
Salisbury, Kapunda in the north, Linwood, in the south and Stonyfell, Lobethal and Murray
Bridge in the east. The combined metropolitan quarries sell in excess of 2 million tones
per annum to the Greater Adelaide market. The quarries provide a total of 160 products
broadly grouped into 4 types - Aggregates, Roadbase materials, Fill materials and Sands.
The performance criteria for each product type varies from quarry to quarry falling into 2
main rock types, dolomite and quartzite.
Quarry production is basically divided into a number of elements; drill and blast - to
provide fragmented rock for crushing; load and haul - to move the rock from the quarry to
the crushing plant; crush and screen - to process the rock to the required product size
and specification product dumping - to move the rock from the plant to the final product
stockpiles; and finally load and dispatch - to move the final product from the stockpiles
to the customer via the weighbridge.
Historically the quarries were run as stand alone entities in terms of personnel, fixed
plant and mobile plant. This meant that the smaller quarries were resourced with small
workforces and small fixed and mobile plant to achieve the capacity required for the
annual sales targets. Operating 7 quarries in this fashion required large expenditure in
repairs and maintenance as well as capital replacement. Site fixed costs were high and
flexibility during market downturns was restricted.
Boral Quarries SA have recently restructured the organisation, processes and systems
under the '721' Strategy to further enhance the company's lowest cost producer status.
Under the strategy the 7 metropolitan quarries are resourced in terms of personnel and
mobile equipment as if the quarries were one large quarry. Teams of personnel and mobile
equipment are moved from quarry to quarry producing product as required at each site.
Requirements for equipment as well as personnel numbers has been significantly reduced,
greatly reducing the fixed costs in the operation. The work flows within the quarries have
been split into discrete elements allowing individual elements or combinations of elements
to be run at any site at any time. The use of intermediate stockpiles within the system
where appropriate has aided this split into discrete elements.
Boral Transport provides the majority of the delivery capability through its fleet of
50 trucks, made up predominantly of tandem truck and 3 axle trailer, semi trailer and
tandem truck and 4 axle trailer configurations.
The quarries themselves have evolved over many years and feature individual fixed plant
and mobile plant configurations. These individual plant combinations, rock types and rock
characteristics provides a varied range of production costs for each quarry and product.
This is further compounded by delivery variables and price variation due to market forces
that make the optimisation of product profitability a complex question.
Operationally this optimisation is performed by producing nearly all the products at
all the quarries, simplifying the problem so that the closest quarry to the customer will
deliver the product. This will obviously lead to many cases of total delivered cost being
sub optimal in terms of product profitability when the problem is assessed on a total
portfolio basis.
The Problem
The task that the work group will be addressing will be to provide an interactive model
that can be used operationally to assist in optimising the product production to delivery
system in order to maximise the margin available from the product sale. It is envisaged
that the model be available for use by both the production personnel as well as the sales
force to assist in the effective management of pricing and margin control. In the future
it would become a strategic planning tool for use by management in the development of
strategic plans and budgets, however it is vital that the system be developed and proven
operationally in the first instance.
The Variables
The complexity of the problem will be found in the significant number of variables that
impact on the solution. These variables would include but not be restricted to:
- Product specification (160)
- Product source (7)
- Production rate (40 - 500 tonnes / hour)
- Product cost ($3.80 - $6.20 / tonne)
- Delivery mechanism
- Delivery distance
- Delivery cost
- Asset value / depreciation cost ($22 M / $200 000 per year)
- Selling price ($6.50 - $21.50 / tonne)
- Personnel (68 total)
- Equipment
The Solution
The complex nature of the problem may make it necessary to develop a pilot model based
on a smaller, more discrete sub group of the quarry portfolio. A natural group made up of
Para Hills, Salisbury and Kapunda may provide this smaller group for pilot model
development and testing. The pilot model could then be extended to include the complete
portfolio.
The team would have a significant amount of flexibility in its scope of work and
methodology of approach under the guidance of Boral Quarries SA operational and technical
staff.
Boral Quarries SA are extremely committed to developing a solution to this problem and
resources will be available or supplied as required under the direction of the Boral/MISG
team.
References
Epstein, R., Morales, R., Seron, J. & Weintraub, A. 1999, `Use of OR Systems in the
Chilean Forest Industries', Interfaces vol. 29, no. 1, pp. 7-29.
Martin, C., Dent, D. & Eckhart, J. 1993, `Integrated Production, Distribution, and
Inventory Planning at Libbey-Owens_Ford', Interfaces vol. 23, no. 3, pp. 68-78. |