A Scenario-based Model for Resource Allocation with Price Information

• Autorzy: Ghiyasi Mojtaba , Dehnokhalaji Akram

Identyfikatory

DOI

10.2478/fcds-2021-0021

• Języki publikacji: EN

Abstrakty

EN

In this paper, we consider the problem of allocating resources among Decision Making Units (DMUs). Regarding the concept of overall (cost) efficiency, we consider three different scenarios and formulate three Resource Allocation (RA) models correspondingly. In the first scenario, we assume that overall efficiency of each unit remains unchanged. The second scenario is related to the case where none of overall efficiency scores is deteriorated. We improve the overall efficiencies by a pre-determined percentage in the last scenario. We formulate Linear Programming problems to allocate resources in all scenarios. All three scenarios are illustrated through numerical and empirical examples.

Słowa kluczowe

EN

data envelopment analysis; resource allocation; overall efficiency

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2021
• Tom: Vol. 46, No. 4
• Strony: 339--360
• Opis fizyczny: Bibliogr. 19 poz., tab.

Twórcy

autor

Ghiyasi Mojtaba

• Faculty of Industrial Engineering and Management Sciences, Shahrood University of Technology, Shahrood, Iran

autor

Dehnokhalaji Akram

• Operations and Information Management Department, Aston University, Birmingham, B4 7ET, UK

Bibliografia

• [1] Asmild, M., et al., Measuring overall efficiency and effectiveness using DEA. European Journal of Operational Research, 2007. 178(1): p. 305-321.
• [2] Athanassopoulos, A.D., Decision support for target-based resource allocation of public services in multiunit and multilevel systems. Management Science, 1998. 44(2): p. 173-187.
• [3] Athanassopoulos, A.D., Goal programming & data envelopment analysis (GoDEA) for target-based multi-level planning: allocating central grants to the Greek local authorities. European Journal of Operational Research, 1995. 87(3): p. 535-550.
• [4] Banker, R.D., Charnes A., Cooper W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 1984. 30(9): p. 1078-1092.
• [5] Charnes, A., Cooper W.W., Rhodes E., Measuring the efficiency of decision making units. European journal of operational research, 1978. 2(6): p. 429-444.
• [6] Chen, M., et al., Centralized resource allocation based on cross-evaluation considering organizational objective and individual preferences. OR Spectrum, 2020: p. 1-37.
• [7] Dehnokhalaji, A., Ghiyasi M., Korhonen P., Resource allocation based on cost efficiency. Journal of the Operational Research Society, 2017. 68(10): p. 1279-1289.
• [8] Ghiyasi, M., Emission utilization permission based on environmental efficiency analysis. Environmental Science Pollution Research, 2019. 26(21): p. 21295-21303.
• [9] Golany, B., Tamir E., Evaluating efficiency-effectiveness-equality trade-offs: a data envelopment analysis approach. Management Science, 1995. 41(7): p. 1172-1184.
• [10] Korhonen, P., Syrjänen M., Resource allocation based on efficiency analysis. Management Science, 2004. 50(8): p. 1134-1144.
• [11] Lozano, S., Villa G., Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis, 2004. 22(1-2): p. 143-161.
• [12] Lozano, S., Villa G., Brännlund R., Centralised reallocation of emission permits using DEA. European Journal of Operational Research, 2009. 193(3): p. 752-760.
• [13] Nasrabadi, N., et al., Resource allocation for performance improvement. Annals of Operations Research, 2012. 196(1): p. 459-468.
• [14] Sadeghi, J., Dehnokhalaji A., A comprehensive method for the centralized resource allocation in DEA. Computers Industrial Engineering, 2019. 127: p. 344-352.
• [15] Sadeghi, J., Ghiyasi M., Dehnokhalaji A., Resource allocation and target setting based on virtual profit improvement. Numerical Algebra, Control Optimization Letters, 2020. 10(2): p. 127.
• [16] Sueyoshi, T., Measuring technical, allocative and overall efficiencies using a DEA algorithm. Journal of the Operational Research Society, 1992. 43(2): p. 141-155.
• [17] Taherzadeh, H., Tohidi G., Hsiao B., Efficiency Evaluation in a Centralized System Based on Data Envelopment Analysis. Iranian Journal of Science Technology, Transactions A: Science, 2020. 44(4): p. 1075-1084.
• [18] White, S.W., Bordoloi S.K., A review of DEA–based resource and cost allocation models: implications for services. International Journal of Services Operations Management, 2015. 20(1): p. 86-101.
• [19] Xiaoya, L., Jinchuan C., A comprehensive DEA approach for the resource allocation problem based on scale economies classification. Journal of Systems Science Complexity, 2008. 21(4): p. 540-557.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).