The Decision Support Systems ( Dsss )

1371 Words Nov 20th, 2015 6 Pages
1) Forestry sector is one of the significant industries in Chile having consistent growth. There are multiple big forestry companies in Chile, owning large (in thousands of hectares of land) plantations. In 1988, all the companies joined an association called “Forestry Production Group (GPF)” coordinated by a non-profit organization called “Fundacion Chile” to help in the development of Chile. All the companies alongwith the help of University of Chile jointly developed various optimization decision systems to help the industry efficiently handle the consistent and large growth in the forestry sector and help the companies run their businesses more efficiently and profitably. (The systems developed are shared by all the forestry companies …show more content…
Thus the output of the model is the truck schedule, i.e. from which origins to schedule the trucks to the destination, satisfying the total demand at each destination.
The constraints include: the availability of trucks and cranes at the locations, types of trucks and cranes needed for specific products and origin-destinations, the time and cost involved with each type of truck and crane (time and money constraint), time of arrival of trucks at destinations, which decide the number of cranes needed for unloading, and, finally, labor and policy constraints (such as the maximum working hours per day/week).
b) OPTICORT: This system is used for short term planning for harvesting, i.e., which timber stands should be harvested to satisfy demand for the next period (typically three months).
The demand is for various types of logs (depending on the length and diameter required). The task of the planner is to select the timber stands to harvest so that depending on the height of the trees, the demand for various types of logs can be satisfied through minimum number of trees without wasting much timber for lower grade pulp.
The objective function is to maximize the profit (or, in other words, minimize the total harvesting and transportation cost).
The constraints include:
i) Total volume of timber available ii) Harvesting capacity constraint iii) Supply constraint, i.e., the availability of each type of timber
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