Open Access
RAIRO-Oper. Res.
Volume 57, Number 3, May-June 2023
Page(s) 1539 - 1557
Published online 26 June 2023
  • A. Amirteimoori and M.M. Tabar, Resource allocation and target setting in data envelopment analysis. Expert Syst. App. 37 (2010) 3036–3039. [Google Scholar]
  • H.L. Ansoff, Corporate Strategy. McGraw-Hill, New York (1965). [Google Scholar]
  • L. Belfares, W. Klibi, N. Lo and A. Guitouni, Multi-objectives tabu search based algorithm for progressive resource allocation. Eur. J. Oper. Res. 177 (2007) 1779–1799. [CrossRef] [Google Scholar]
  • R. Bhamra, S. Dani and K. Burnard, Resilience: the concept, a literature review and future directions. Int. J. Prod. Res. 49 (2011) 5375–5393. [CrossRef] [Google Scholar]
  • M. Bruneau, S.E. Chang, R.T. Eguchi, G.C. Lee, T.D. O’Rourke, A.M. Reinhorn, M. Shinozuka, K. Tierney, W.A. Wallace and D. Von Winterfeldt, A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra 19 (2003) 733–752. [CrossRef] [Google Scholar]
  • A.D. Chandler, Strategy and Structure: Chapters in the History of American Enterprise. MIT Press, Boston (1962). [Google Scholar]
  • R. Faturechi, E. Levenberg and E. Miller-Hooks, Evaluating and optimizing resilience of airport pavement networks. Comput. Oper. Res. 43 (2014) 335–348. [CrossRef] [MathSciNet] [Google Scholar]
  • C.W. Hofer and D. Schendel, Strategy Formulation: Analytical Concepts. West Publishing Company, St. Paul (1986). [Google Scholar]
  • S. Hosseini, K. Barker and J.E. Ramirez-Marquez, A review of definitions and measures of system resilience. Reliab. Eng. Syst. Saf. 145 (2016) 47–61. [CrossRef] [Google Scholar]
  • S. Jain and K.K. Bharti, A combinatorial optimization model for post-disaster emergency resource allocation using meta-heuristics. Soft Comput. (2022) 1–17. DOI: 10.1007/s00500-022-07176-8. [Google Scholar]
  • N.R. Joglekar and D.N. Ford, Product development resource allocation with foresight. Eur. J. Oper. Res. 160 (2005) 72–87. [CrossRef] [Google Scholar]
  • S. Lozano, G. Villa and B. Adenso-Dıaz, Centralised target setting for regional recycling operations using DEA. Omega 32 (2004) 101–110. [Google Scholar]
  • R. Mokhtarian Daloie and B. Ostadi, Developing a discrete-event simulation model for improving the quality of services: a case study in urology unit at a kidney center. J. Eng. Qual. Manage. 9 (2019) 244–260. [Google Scholar]
  • M. Najarian and G.J. Lim, Optimizing infrastructure resilience under budgetary constraint. Reliab. Eng. Syst. Saf. 198 (2020) 106801. [CrossRef] [Google Scholar]
  • B. Ostadi, A. Ghorbani and R. Mokhtarian, Modelling the estimation of the optimum number of required equipment and manpower for operational processes under uncertainty conditions (case study: Textile industry). Adv. Ind. Eng. 53 (2019) 509–521. [Google Scholar]
  • B. Ostadi, R. Mokhtarian Daloie and M. Mahdi Sepehri, A developed method for handling uncertainty in activity-based costing for hospital services using fuzzy approach. J Hospital 17 (2019) 19–34. [Google Scholar]
  • B. Ostadi, E. Sadrabadi, H. Kashan and M. Sepehri, Presenting a model for the optimal allocation of human resources to operational processes using the Markowitz model: a case study in urology unit at a kidney center. J. Qual. Eng. Manage. 11 (2021) 77–87. [Google Scholar]
  • B. Ostadi, M. Mahdi Seifi and A. Husseinzadeh Kashan, A multi-objective model for resource allocation in disaster situations to enhance the organizational resilience and maximize the value of business continuity with considering events interactions. Proc. Inst. Mech. Eng. Part O: J. Risk Reliab. 235 (2021) 814–830. [Google Scholar]
  • M.A. Peteraf, Research complementarities: a resource-based view of the resource allocation process model (and vice versa), in From Resource Allocation to Strategy. Oxford University Press, Oxford (2005) 409–426. [Google Scholar]
  • H. Rezaei Soufi, S. Ali Torabi and N. Sahebjamnia, Developing a novel quantitative framework for business continuity planning. Int. J. Prod. Res. 57 (2019) 779–800. [CrossRef] [Google Scholar]
  • N. Sahebjamnia, S. Ali Torabi and S. Afshin Mansouri, Integrated business continuity and disaster recovery planning: towards organizational resilience. Eur. J. Oper. Res. 242 (2015) 261–273. [CrossRef] [Google Scholar]
  • N. Sahebjamnia, S. Ali Torabi and S. Afshin Mansouri, Building organizational resilience in the face of multiple disruptions. Int. J. Prod. Econ. 197 (2018) 63–83. [CrossRef] [Google Scholar]
  • M. Taleb-Berrouane and F. Faisal Khan, Dynamic resilience modelling of process systems. Chem. Eng. 77 (2019) 313–318. [Google Scholar]
  • S.A. Torabi, H. Rezaei Soufi and N. Sahebjamnia, A new framework for business impact analysis in business continuity management (with a case study). Saf. Sci. 68 (2014) 309–323. [CrossRef] [Google Scholar]
  • N. Withanachchi, Y. Uchida, S. Nanayakkara, D. Samaranayake and A. Okitsu, Resource allocation in public hospitals: is it effective? Health Policy 80 (2007) 308–313. [CrossRef] [Google Scholar]
  • X. Xu, J. Liu and J. Wang, AN–N optimization model for logistic resources allocation with multiple logistic tasks under demand uncertainty. Soft Comput. 22 (2018) 7073–7086. [CrossRef] [Google Scholar]
  • Z. Zeng and E. Zio, An integrated modeling framework for quantistative business continuity assessment. Process Saf. Environ. Prot. 106 (2017) 76–88. [CrossRef] [Google Scholar]
  • E. Zio, The future of risk assessment. Reliab. Eng. Syst. Saf. 177 (2018) 176–190. [CrossRef] [Google Scholar]

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