A supply chain is composed of a complex sequence of processing stages, ranging from raw materials supplies, parts manufacturing, components and end-products assembling, to the delivery of end products. In the context of supply chain management, supplier selection decision is considered one of the key issues faced by operations and purchasing managers to remain competitive. Therefore, requiremen...

Quality function deployment (QFD) is a customer-driven approach for processing new product developments in order to maximize customer satisfaction. Each engineering design characteristic is maximized for product performance according to the level of customer satisfaction. To cope with the vague nature of product development processes, fuzzy approaches are used to represent the importance scores...

Development environments to DSS are evolving to open and distribute architectures. The main features of these new architectures are: Data Base Query Tools in clients, fast developments and better graphics interfaces. DSS developers need a set of functionalities as multidimensional data view, variable capacity DW, set of complex criteria in order to filter the required information access, quick ...

On line quality evaluation is an important domain particularly in the complex processes where the characteristic of the product quality is difficult to measure directly. Evaluation based modelling techniques can be considered as an alternative to solve such complex problem. We consider in this work a contribution for product quality evaluation in hot rolling using fuzzy models. Residual changes...

Quality Function Deployment (QFD) is a popular planning method often used to transform customer demands/requirements into the technical characteristics of a new or improved product or service. In order to better capture (and represent) the multifarious relationships between customer requirements and technical characteristics, and the relative weights among customer requirements, in this study a...

Development of sustainable manufacturing system is a key research area to realise the Sustainable Development Goal of any country. In this research work we have developed a model for development of a sustainable manufacturing process using fuzzy-AHP. The fuzzy-AHP technique is used to determine the effect of various factors affecting the sustainability of a product. The study shows that, adopti...

The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parameterization methods in harmony to deal with uncertainty. The decomposition of fuzzy soft sets is of great importance in both theory and practical applications with regard to decision making under uncertainty. This study aims to explore decomposition of fuzzy soft sets with finite value space...

The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parametrization methods in harmony to deal with uncertainty. The decomposition of fuzzy soft sets is of great importance in both theory and practical applications with regard to decision making under uncertainty. This study aims to explore decomposition of fuzzy soft sets with finite value spaces...

the classical control charts by using precise and specified data divide the production process into two groups: in-control or out of control, while the fuzzy sets with the definition continuous and cohesive membership functions and also using ambiguous and vague fuzzy numbers (triangular and trapezoid), it introduces different levels of decisions for the decision makers. in this paper, using th...

Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the ...