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ISSN 2587-814X (print),
ISSN 2587-8158 (online)

Russian version: ISSN 1998-0663 (print),
ISSN 2587-8166 (online)

Arkady Maron 1
  • 1 National Research University Higher School of Economics, 20 Myasnitskaya Str., Moscow, 101000, Russian Federation

Scenario approach to the research institute's staff allocation with attention to the risks

2013. No. 4(26). P. 58–61 [issue contents]

Arkadiy Maron – Associate Professor, Department of Business Analytics, Faculty of Business Informatics, National Research University Higher School of Economics.  
Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation.
E-mail: amaron@hse.ru

Currently, many leading industrial Research Institute’s (RI) are subsidiaries of the monopoly sector corporate entities, which are the main customers of their works. Their order will be called corporate order here. Any Corporate order must be performed. If, for this purpose a RI possesses workforce to perform the work under contracts with other customers, then, being a commercial structure, they are obliged to do so. This arises an issue is how to distribute the available workforce.

In a competitive market, regardless of whether the corporate order is approved or not, there is uncertainty about the amount of work that can be obtained from third-party customers. However, the process of drawing agreements with third-party customers should begin in advance. There can arise the following risks: too many agreements concluded leaves not enough resources for the Corporate order; on the other hand, few contracts concluded allows reserving the excess manpower to carry out the Corporate order. The first of these risks is critical and thusly should be avoided. Running the second risk would lead to the fact that a certain number of employees will not be drawn to the fulfillment of contracts, which will naturally reduce profits.

To solve this problem, we offer to apply a scenario approach. For each scenario, the task of distribution of workforce can be reduced to a linear programming task. After this, to achieve optimal allocation, we use optimization method based on Wald criterion. The payouts table will consist of the values of benefits derived by solving linear programming tasks corresponding to different scenarios.

The proposed approach allows solving the task of securing resources for corporate orders at a time when it has not yet been approved. This enables the RI management to carry out contractual business with commercial customers, without compromising the guaranteed execution of works commissioned by the principal founder.

Citation: (2013) Stsenarnyy podkhod k planirovaniyu raspredeleniya personala NII s uchetom riskov [Scenario approach to the research institute's staff allocation with attention to the risks] Biznes-informatika, 4(26), pp. 58-61 (in Russian)
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