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The Most Productive Scale Compared to Demand Fulfillment (Case Study: Insurance Companies) | ||
| Journal of New Researches in Mathematics | ||
| مقاله 3، دوره 4، شماره 16، اردیبهشت 2019، صفحه 25-36 اصل مقاله (343.19 K) | ||
| نوع مقاله: research paper | ||
| نویسندگان | ||
M. Ahadzadeh namin  1؛ E. Khamseh2
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| 1Department of Mathematics, Shahr-e-Qods Branch, Islamic Azad University,Tehran, Iran. | ||
| 2Department of Mathematics, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| Economics depends on the economic scale of planning. Economists study the characteristics of the production function, while community operating management focuses on demand realization, so that loss of sales or inventory prevents cost reductions and maximizes profits. However, companies with a lack of capacity need to achieve economies of scale and demand to realize them simultaneously, especially when corporate demand is fluctuating. But always the customer's demand is not equal to output, the demand level may be less than the maximum output level of the highest productivity scale (MPSS), between the highest output level of the MPSS and the maximum output level, or greater than the maximum output level. In this paper, we intend to find the highest level of productivity in relation to the demand for active insurance companies in 1396 in all three scenarios. In fact, we will examine the applicability of Lee's (2016) paper in insurance companies in Iran. | ||
| کلیدواژهها | ||
| Data envelopment analysis(DEA)؛ Most Productive Scale Size(MPSS)؛ Demand؛ Multi Objective Decision Analysis(MODA) | ||
| مراجع | ||
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[1]Abel, A. B., &Eberly, J. C. (1996).Optimal investment with costly reversibility.Review of Economic Studies, 63, 581–593.
[2] Banker, R. D. (1984) Estimating most productive scale size using data envelopment analysis. European Journal of Operational Research, 17(1), 35–44. [3]Banker, R. D., Cooper, W. W., Seiford, L. M., Thrall, R. M., & Zhu, J. (2004).Returns to scale in different DEA models. European Journal of Operational Research, 154, 345–362.
[4] Chambers, R. G., Chung, Y., &Färe, R. (1996). Benefit and distance functions. Journal of Economic Theory, 70 (2), 407–419.
[5]Coelli, T. J., PrasadaRao, D. S., O’Donnell, C. J., &Battese, G. E. (2005).An Introduction to Efficiency and Productivity Analysis. 2nd ed., New York: Springer.
[6] Fukuyama, H. (2003). Scale characterizations in a DEA directional technology distance function framework. European Journal of Operational Research, 144 (1), 108–127.
[7] Khodabakhshi, M. (2009). Estimating most productive scale size with stochastic data in data envelopment analysis. Economic Modelling, 26 (5), 968–973.
[8] Lee, C.-Y., & Johnson, A. L. (2013).Operational Efficiency.Edited in: Badiru, A. B.,
[9]Handbook of Industrial and Systems Engineering, 2nd edition, 17–44, CRC Press. [10]Lee, C-Y.(2016). Most Productive Scale Size versus Demand FulÞllment: A Solution to the Capacity Dilemma , European Journal of Operational Research ,Vol. 248, No. 3, pp. 954-962.
[11]Zhu, J. (2000). Setting scale efficient targets in DEA via returns to scale estimation method. Journal of the Operational Research Society, 51, 376–378.
[12]Nahmias, S.( 2009). Production and Operations Analysis.6th edition, McGraw-Hill/Irwin. | ||
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