Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-04T20:21:13.987Z Has data issue: false hasContentIssue false

Production planning in data envelopment analysis withoutexplicit inputs

Published online by Cambridge University Press:  26 August 2013

Alireza Amirteimoori
Affiliation:
Department of Applied Mathematics, Islamic Azad University, Rasht-Iran.. [email protected]
Behrooz Daneshian
Affiliation:
Department of Applied Mathematics, Islamic Azad University, Rasht-Iran.. [email protected]
Sohrab Kordrostami
Affiliation:
Department of Applied Mathematics, Islamic Azad University, Lahidjan-Iran
Kambiz Shahroodi
Affiliation:
Department of Industrial management, Islamic Azad University, Rasht-Iran
Get access

Abstract

In the performance measurement using tools such as data envelopment analysis (DEA), datawithout explicit inputs has attracted considerable attention among researchers. In suchstudies the problem of production planning in the next production season is an importantand interesting subject. Because of the uncertain nature of the future, decision makersneed to provide robust procedures in order to examine alternative courses of action andtheir implications. The purpose of this paper is to develop an approach to productionplanning problem in production processes without explicit inputs that typically appears incentralized decision making environment. Application of the proposed approach isillustrated empirically using a real case.

Type
Research Article
Copyright
© EDP Sciences, ROADEF, SMAI, 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amirteimoori, A. and Emrouznejad, A., Flexible measures in production process: A DEA-based approach. RAIRO-Oper. Res. 45 (2011) 6374. Google Scholar
Amirteimoori, A. and Kordrostami, S., Production planning: a DEA-based approach. Int. J. Adv. Manuf. Techn. 56 (2011) 369376. Google Scholar
Athanassopoulos, A.D., Lambroukos, N. and Seiford, L.M., Data envelopment analysis for setting targets to electricity generating plants. Eur. J. Oper. Res. 115 (1999) 413428. Google Scholar
Banker, R.D., Charens, A. and Cooper, W.W., Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis. Manag. Sci. 30 (1984) 10781092. Google Scholar
Beasely, J.E., Allocating fixed costs and resources via DEA. Eur. J. Oper. Res. 147 (2003) 198216. Google Scholar
Charnes, A., Cooper, W.W. and Rhodes, E., Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429444. Google Scholar
Du, J., Liang, L., Chen, Y. and Bi, G., DEA-based production planning. OMEGA 38 (2010) 105112. Google Scholar
W.W. Cooper, L.M. Seiford and K. Tone, Introduction to data envelopment analysis and its uses. Springer Publisher (2006).
Emrouznejad, A., Tavares, G. and Parker, B., Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio Econ. Plan. Sci. 42 (2008) 151157. Google Scholar
Feng, L., A generalized DEA model for centralized resource allocation. Eur. J. Oper. Res. 228 (2013) 405412. Google Scholar
Golany, B., An interactive MOLP procedure for the extension of DEA to effectiveness analysis. J. Oper. Res. Soc. 39 (1988) 725734. Google Scholar
Kim, B. and Kim, S., Extended model for a hybrid production planning approach. Int. J. Prod. Econ. 73 (2001) 165173. Google Scholar
Korhonen, P. and Syrjanen, M., Resource allocation based on efficiency analysis. Management Sci. 50 (2004) 11341144. Google Scholar
Liu, W.B., Zhang, D.Q., Meng, W., Li, X.X. and Xu, F., A study of DEA models without explicit inputs. OMEGA 39 (2011) 472480. Google Scholar
Lovell, K.A. and Pastor, J., Radial DEA models without inputs or outputs. Eur. J. Oper. Res. 118 (1999) 4551. Google Scholar
Lozano, S. and Villa, G., Centralized Resource Allocation Using Data Envelopment Analysis. J. Prod. Anal. 22 (2004) 143161. Google Scholar
Varmaz, A., Varwig, A. and Podig, T., Centralized resource planning and Yardstick competition. Omega 41 (2013) 112118. Google Scholar