DSS--Decision-making Supporting System for Medium and Senior Managing Staff in the Course of Freight Operation

DSS is a statistics collection and analysis system of freight operation designed for middle and senior managerial staff from airlines and airport stations. It features friend interface, easy operation and form and graphic analysis. Being able to show the micro statistic of concrete cargos as well as provide the users macro analysis of their overall freight business, the system can satisfy the requirements of staff at different administrative levels for analyzing freight data when they are making decisions for the business. It will fulfill the statistic analysis of the operational condition of freight from different points of view. Through multiplied analyzing and forecasting methods like time order analysis, contrasting analysis and trend forecast etc., DSS would execute the statistic analysis of the data of the enterprise and shoe the result directly to the managerial staff through forms and graphics so as to enable them grasp the freighting condition accurately and provide powerful support for the decision-making of their freight businesses.

• Product speciality

  The users of DSS are generally the middle or senior managers and researchers of the strategic development of the enterprises from the airfreight industry. With a powerful performance in statistic analysis, DSS can grant powerful support to the macro decision-making of the enterprise by analyzing the current and historical data of the enterprise from a macro point of view. With DSS, the governors of enterprises may not only have a clear and vivid knowledge of the current operating condition, the profit increasing point and the core competitiveness of the enterprises, but also find out the weakness and shortage of the enterprises so as to take necessary measures to improve the weakness and shortage. Users may choose different parameters or define the data range in the tree-structure menu for each statistical operation. You can also require the system to execute the smooth transfer from macro to micro statistic collection so as to obtain the analysis data and corresponding analysis graphs at different levels.

  DSS supports a large variety of analyzing methods like time order analysis, contrasting analysis and trend forecast etc. It can execute flexibly the statistical analysis of different periods like year, quarter, month, ten days, per day and any period the user has defined and can implement the analysis based on the statistics of various objects like production data, forwarder, old shipper, flight route, carrier and cargo structure etc. Adopting advanced graphic display techniques, DSS can show the user statistical analysis data in the pattern of statement or various graphs. It supports a large variety of graphic display formats like bar graph, pie chart, curve chart, distributing chart and dot-line chart etc. In addition, it can show the customer the statistical results in plane figure or three-dimensional diagram.

• Major Functions

  Boasting powerful statistical functions, DSS can execute various statistical analysis of the production and historical data of freight enterprises. Its functions include mainly the following: the analysis of freight production, freight forwarder, old shipper, model, freight market, cargo structure and transferred cargo and data input and output. Meanwhile, these functions fall into three types according to their levels and methods:

  1. Statistics based on object: analysis of freight production, freight forwarder and shipper etc.
  2. Statistics based on period: day, ten day, month, quarter and year etc.
  3. Statistical analysis based on analyzing method: time order and contrasting analysis etc.
  
  
  • Freight production analysis

    It includes production analysis by day and by month, contrasting analysis, time order analysis, carriage analysis of flight course, import and export analysis, flight contrast analysis and flight time order analysis etc.

  • Freight forwarder analysis

    It includes agent analysis by day and by month, contrasting analysis by month, time order analysis, flight route proxy analysis, cargo structure analysis, flight proxy analysis, contrasting analysis of carriers' shares and analysis of forwarder's carrier.

  • Old shipper analysis

    It includes old shipper analysis by day and by month, contrasting analysis by month, time order analysis, old shippers' flight course analysis and cargo structure analysis.

  • Model analysis

    It includes model analysis by day and by month and time order analysis of model.

  • Freight market analysis

    It includes cargo resource analysis by month, time order analysis, analysis of company's cargo invitation, analysis of the flow direction of cargo and time order analysis of the flow direction of cargo.

  • Cargo structure analysis

    It includes mainly flight course structure analysis by month and time order analysis.

  • Analysis of transferred cargo

    It includes mainly freight station analysis by day and by month, starting station analysis by day and by month and analysis of flight course transfer.

• Valuable Results Brought in by DSS
  1. Realize the development history and operating condition of the enterprise

     Through DSS's statistical analysis of production data, the user can know well the current condition of its business operation, find out its weakness in business through the contrast between current and historical data and take measures to get rid of the weakness and enhance its competitiveness in time. Meanwhile, the use may also find out its advantageous businesses and the development trend of the industry and promote them to raise the overall profit of the enterprise.

  2. Forecast the operational condition of the enterprise in the future

     Through the statistical analysis of the historical data and current data of an enterprise and the contrast between the two, DSS can find out the general business operating period of the enterprise and forecast the developing direction and volume of its future business according to the historical data. The enterprise hence may take well advantage of the business period of busy-season or off-season so as to take corresponding measures in advance against future business.

  3. Promote management and enhance core competitiveness

     With its data analysis and statistical graph service, DSS will enable the enterprise to grasp the core of its business, serve better the decision-making of the governor of the enterprise, indicate the strategic focus of its development and evaluate the value of its customers and their cargos and the relation between them. Therefore, it is helpful to the user to improve management, enhance core competitiveness and promote influence.