Market impact cost is the most significant portion of implicit transaction costs that can reduce the overall transaction cost, although it cannot be measured directly. In this paper, we employed the state-of-the-art nonparametric machine learning models: neural networks, Bayesian neural network, Gaussian process, and support vector regression, to predict market impact cost accurately and to pro...

this research aims to study the relationship between the components of quality costs and quality in company. the relationship between the components of quality costs and quality in company has been studied separately for materials, manpower, machinery, and whole of company. in this study, traditional method was used to collect quality costs and paf model was used to determine the components of ...

Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has been a point of attraction to both researchers and practitioners. Limitations of cell formation problem (CFP), as one o...

this study aimed at identifying components of the household health costs.this study was a qualitative research conducted in two main phases. the first phase consisted of interviews with sample households selected in eight provinces of iran. they were to identify components of the household health costs. in the second phase, components were determined as direct, indirect and intangible based on ...

This paper studies a hierarchical optimization problem of scheduling n jobs on serial-batching machine, in which two objective functions are maximum costs. By problem, we mean the optimizing secondary criterion under constraint that primary is optimized. A machine can handle up to b batch and start complete respectively at same time processing equal sum times batch. When new starts, constant se...

Nowadays, estimating the ampere consumption and achieve to the optimum condition from the perspective of energy consumption is one of the most important steps to reduce the production costs. In this research it is tried to develop an accurate model for estimating the ampere consumption by using the artificial neural networks (ANN).In the first step, experimental studies were carried out on 7 ca...

This paper deals with the single machine multi-product lot scheduling problem in which defective items are produced in any production run of each product. We have adopted the common cycle scheduling policy and assumed that the setup times for production of each product can be non-zero. Further, we have assumed that defective items will be reworked and the inspection costs during the normal prod...