Designing a Robust Model for Budgeting on the Basis of the Performance of the Research Groups in Research and Development (R&D) Centers (Case Study: the Defensive R&D Center)

Document Type : Original Article

Authors

1 Corresponding author: MA in industrial engineering, department of industrial engineering, Malek Ashtar University of Technology, Isfahan, Iran.

2 Asistant prtofessor, department of industrial engineering, faculty of industrial engineering, Malek Ashtar University of Technology, Isfahan, Iran.

Abstract

Budgets are approved for paving the way for new research projects in R&D centers. The basis for allocation of the budget needs to be analyzed regarding of organizations’ criteria. One of these criteria can be the performance of research groups and research centers in past projects. It is also necessary that those which fit well the goals and strategies of the organization projects be supported. In this paper, a robust mathematical model is presented on the basis of the Bertsimas and Sim method for the allocation of the budget to the research groups with higher priorities. The results of solving and simulation of the model indicate that along with the increase in uncertainty of model parameters such as estimated project costs, and increasing the level of protection, the degree of deviation from the ideal have been correctly measured. This is an indication of the capabilities of the designed model, and decision-makers can make use of it for better decisions by considering the level of risks and the degree of deviation from the ideal situation. For testing the validity of the model, the budget approved by a defensive research center was examined by it. The results certified the effectiveness of the model from the viewpoint of the managers of the research groups and the research center.

Keywords

References

Charnes and Cooper . (1963). Management models and industrial applications of linear programming . (No. 339.23 C4).
Chiou, C. W., Chen, C. C. and Chiou, S. C. (2009, September). A decision-making model of budget allocation for the restoration of traditional settlement buildings. In 2009 International Conference on Management and Service Science (pp. 1-4). IEEE.‏
Ghasemzadeh, F., Archer, N., and Iyogun, P. (1999). A zero-one model for project portfolio selection and scheduling. Journal of the operational Research Society, 50(7), 745-755.‏
Halim, B. A., Karim, H. A., Fahami, N. A., Mahad, N. F., Nordin, S. K. S. and Hassan, N. (2015). Bank financial statement management using a goal programming model. Procedia-social and behavioral sciences, 211, 498-504.‏
Heidenberger K and Stummer C . (1999). Research and development project selection and resource allocation—a review of quantitative modelling approaches. International Journal of Management Review, 1(2), 197-224
Jyothi, P., Vatsala, G. A. and Gupta, R. (2019). Goal Programming Model to Budgetary Allocation in Garbage Disposal Plant. In Logistics, Supply Chain and Financial Predictive Analytics (pp. 77-90). Springer, Singapore
Kwak, N. K., and Lee, C. (1998). A multicriteria decision-making approach to university resource allocations and information infrastructure planning. European Journal of Operational Research, 110(2), 234-242.‏
Lee, S. M., and Shim, J. P. (1984). Zero-base budgeting—Dealing with conflicting objectives. Long Range Planning, 17(5), 103-110.‏
Min, H. (1988). Three-phase hierarchical allocation of university resources via interactive fuzzy goal programming. Socio-Economic Planning Sciences, 22(5), 229-239.‏
Mohan, A.,and  Sasikumar, R. (2014). Developing of Decision Support System for Budget Allocation of an R&D Organization. International Journal of Research in Engineering and Technology, 3(15), 78-83.‏
Nasrabadi, M. M., Rasouli, E. S., and Sharifi, M. (2016). Robust Optimization for Performance-Based Budget Allocation at Payam Noor University. American Journal of Applied Mathematics, 4(6), 310-315.‏
Safari, S., Sardari, A. and Sabzian, H. (2012). Designing a Mathematical Model for Allocating Budget to University Research and Educational Goals: A Case Study in Shahed University.‏Safari, . Iranian Journal of Management Studies, 5(2), 88-113.
Wang, D. and  Xu, J. (2008, September). A fuzzy multi-objective decision making model of the advertising budgeting allocation and its application to an IT company. In 2008 4th IEEE International Conference on Management of Innovation and Technology (pp. 740-745). IEEE.‏
Budget and Finance Strategic Research
Volume 1, Issue 2 - Serial Number 2
Summer Quarterly
August 2020
Pages 87-107

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History

  • Receive Date: 15 March 2020
  • Revise Date: 08 May 2020
  • Accept Date: 11 May 2020

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