in this paper, the study deals with the lead time and setup reduction problem in the vendor-purchaser integrated inventory model. the cost of capital (i.e., opportunity cost) is one of the key factors in making the inventory and investment decisions. lead time is an important element in any inventory system. the proposed model is presents an integrated inventory model with controllable lead tim...

todays, improving the competitiveness of companies and rapidly responding to diverse customers’ demands requires efficient management of the supply chain. integration is one of the effective indices in a supply chain, and vendor managed inventory (vmi) is one of the innovative approaches in this field. in this paper, an integrated model based on a vmi system for deteriorating and ameliorating i...

Abstract This paper proposes an approach to find an optimum structure for educational levels of human forces. To this end, a Linear Programming (LP) Model integrated with a Social Accounting Matrix (SAM) was employed. The integrated model was employed using the SAM of Golestan Province of Iran. It was demonstrated that when unemployment is the result of inconsistency between supply and demand...

abstractaccidents and natural disasters and crises coming out of them indicate the importance of an integrated planning to reduce their effected. therefore, disaster relief logistics is one of the main activities in disaster management. in this paper, we study the response phase of the disaster management cycle and a bi-objective model has been developed for relief chain logistic in uncertainty...

Condition monitoring is the foundation of a condition based maintenance (CBM). To relate the information obtained from the condition monitoring to the actual state of the system, it is usually required a stochastic model. On the other hand, considering the interactions and similarities that exist between CBM and statistical process control (SPC), the integrated models for CBM and SPC have been ...

Forecasting models have wide applications in decision making. In the real world, rapid changes normally take place in different areas, specifically in financial markets. Collecting the required data is a main problem for forecasters in such unstable environments. Forecasting methods such as Auto Regressive Integrated Moving Average (ARIMA) models and also Artificial Neural Networks (ANNs) need ...

Forecasting models have wide applications in decision making. In the real world, rapid changes normally take place in different areas, specifically in financial markets. Collecting the required data is a main problem for forecasters in such unstable environments. Forecasting methods such as Auto Regressive Integrated Moving Average (ARIMA) models and also Artificial Neural Networks (ANNs) need ...

finding a representative fluid in a hydrocarbon reservoir is crucial for integrated reservoir management. in this study, a systematic approach for screening and selecting consistent fluid samples in a reservoir was developed. the model integrated quality control (qc) of well conditioning before sampling, qc of pvt data, thermodynamic modeling and compositional gradient within a reservoir. well ...

In some long term studies, a series of dependent and possibly truncated lifetime data may be observed. Suppose that the lifetimes have a common continuous distribution function F. A popular stochastic measure of the distance between the density function f of the lifetimes and its kernel estimate fn is the integrated square error (ISE). In this paper, we derive a central limit theorem for t...