In many organizations and financial institutions, we don't always have acsses to inputs and outputs to evaluate the decision-making units (DMUs), but rather only a ratio of inputs to outputs ( or reverse) might be available. In DEA, cost efficiency determines input standards based on input costs. In multi-stage network DEA processes, in addition to input standards, cost efficiency would determi...

In the context of scheduling, we study social cost efficiency for a cost-sharing problem in which the service provider’s cost is determined by the makespan of the served agents’ jobs. For identical machines, we give surprisingly simple cross-monotonic cost-sharing methods that achieve the essentially best efficiency Moulin mechanisms can guarantee. Still, our methods match the budget-balance of...

The current paper develops three different ways to measure the multi-period global cost efficiency for homogeneous networks of processes when the prices of exogenous inputs are known at all time periods. A multi-period network data envelopment analysis model is presented to measure the minimum cost of the network system based on the global production possibility set. We show that there is a rel...

the present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. the previous models of data envelopment analysis (dea) have been too general in their scope and focused on the input and the output within a black box system, therefore they have not been able to measure various phases simultaneously within a network system. by using these models...

Cost efficiency measures the cost of resource by output production. While conventional cost efficiency models set targets separately for each DMU, There are cases where the Central decision making is seeking the above targets, and at the same tries to obtain the target of Min cost efficiency for the total consumption. in this paper we consider that there is a centralized decision maker (DM). In...

The analysis of networks has become one of the paradigms of the science of complexity as well as a fascinating branch of research in applied mathematics, science and engineering: from the study of either biological networks to the Internet or the World Wide Web and other technological systems, as well as the study of social or economic relationships, to cite a sample, a detailed analysis of the...