.... Findings As policies and management approaches for branches with less uncertainty in efficiency are different from branches with more uncertainty, considering the uncertainty of efficiency values of branches may be helpful for the policy-making of managers. The grey efficiency of branches of one bank...

...Aditya Thangjam; Sanjita Jaipuria; Pradeep Kumar Dadabada Purpose The purpose of this study is to propose a systematic model selection procedure for long-term load forecasting (LTLF) for ex-ante and ex-post cases considering uncertainty in exogenous predictors. Design/methodology/approach...

... to assess and prioritize initiatives for supply chain sustainability in terms of continuing business operations. The structural model provides a systemic view of SCV and helps reduce vulnerability. Supply chain Vulnerability Uncertainty ISM model In the past decade, supply chain vulnerability...

...Rokhsaneh Yousef Zehi; Noor Saifurina Nana Khurizan Purpose Uncertainty in data, whether in real-valued or integer-valued data, may result in infeasible optimal solutions or unreliable efficiency scores and ranking of decision-making units. To handle the uncertainty in integer-valued factors...

... designed a drug supply chain network with uncertainty-related corruption. The optimal number and location of potential facilities, the optimal allocation of flow between facilities, the optimal routing of vehicles and the optimal amount of inventory in production and distribution center warehouses were...

... additional value by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes. Waste management, like another urbane programming, can be accompanied by uncertainty...

... of orders to each supplier. Findings The proposed methodology has been successfully implemented in the case of an Iranian food company in its bottled water factory. Results demonstrate our model is capable of practically handling the uncertainty in DMs’ preference that leads to effective and efficient...

...Rita Shakouri; Maziar Salahi; Sohrab Kordrostami Purpose The purpose of this paper is to present a stochastic p-robust data envelopment analysis (DEA) model for decision-making units (DMUs) efficiency estimation under uncertainty. The main contribution of this paper consists of the development...

... of the resource usage variation between successive time periods. Applying uncertainty theory, the parameters related to outlays and net cash flows of existing and new projects are considered as random variables, and the problem is optimized under the budget constraint and profit risk controls. An augmented...