this paper deals with the problem of optimizing two-stage structure decision making units (dmus) where the activity and the performance of two-stage dmu in one period effect on its efficiency in the next period. to evaluate such systems the effect of activities in one period on ones in the next term must be considered. to do so, we propose a dynamic dea approach to measure the performance of su...

The nature of input materials is changed as long as the product reaches the consumer in many types of manufacturing processes. In designing and improving multi-stage systems, the study of the steps separately may not lead to the greatest possible improvement in the whole system, therefore the study of inputs and outputs of each stage can be effective in improving the output quality characterist...

The purpose of this paper is to present the possibility of replacing physical unit cost in transportation or distribution problems by an aggregate coefficient, getting qualitative and subjective considerations involved. The model for constructing aggregate cost is a two stage multiple attribute decision-making problems. In the first stage supply points, demand points and routes of transportatio...

A stages of growth model is proposed consisting of four stages. The first stage is end user tools that are made available to knowledge workers, the second stage is information about who knows, the third stage is information from knowledge workers, and the final stage is information systems solving knowledge problems. This paper reports results from an empirical study of law firms in Australia.

Strategic decisions in a supply chain are the most important decisions for petroleum production systems. These decisions, due to high costs of transportation and storing, are costly and affected by the tactical and operational decisions in uncertain situations. In this article, we focus on designing a downstream segment for a supply chain of petroleum production systems. For this purpose, we wi...

In the conventional data envelopment analysis (DEA) internal sub-processes of the production units are ignored. The current paper develops a network-DEA super-efficiency model to compare the performance of efficient network systems. A new ranking method is developed by aggregating the computed super-efficiency scores with a J-divergence measure. The proposed approach is then applied to evaluate...

It is important to share demand information among the members in supply chains. In recent years, production and inventory systems with advance demand information (ADI) have been discussed, where advance demand information means the information of demand which the decision maker obtains before the corresponding actual demand arrives. Appropriate production and inventory control using demand info...

background: in process industries, production, storage, transportation, usage and disposal of chemicals are inherently dangerous and the risk of catastrophic accident occurrence is potentially high. to improve safety level in these industries, establishment of process safety management (psm) system is considered as the most effective measures. this study was conducted to determine the degree of...

Lyme disease is caused by the spirochete Borrelia burgdorferi. Depending on the stage of illness, infection may be limited to the skin or involve the cardiac, nervous and musculoskeletal systems. Herein, we report a case of Lyme disease in a 23-year-old woman from North of Iran (Mazandaran) in early-localized stage of erythema chronicum migrans. The diagnosis was confirmed by the presence of se...

In the current study we investigate the two-stage iterative method for solving linear systems. Our new results shows which splitting generates convergence fast in iterative methods. Finally, we solve the Poisson-Block tridiagonal matrix from Poisson's equation which arises in mechanical engineering and theoretical physics. Numerical computations are presented based on a particular linear system...