Selection of Primary Production Processes

2003 ◽  
pp. 87-104
Author(s):  
Gideon Halevi
Author(s):  
Conrad M. Banas

The fundamentals of laser beam interactions with materials are discussed briefly and unique laser processing capabilities are noted. Introduction of this processing capability to manufacturing is reviewed. Typical high volume production application requirements are identified and representative performance and production experience are described. Specific multikilowatt laser welding, piercing and hardfacing applications in aerospace production are described. Evolution of production processes is discussed against the background of required processing capability. Also discussed are the unique laser processing capabilities which resulted in selection of the laser for production. Production experience is reviewed and cost saving factors are noted.


2012 ◽  
Author(s):  
Ahmed Mahmoud Shehata ◽  
Ahmed Hamdi El-banbi ◽  
Mohamed H.M. Sayyouh

Author(s):  
Pietro Spataro ◽  
Neil W. Mulligan ◽  
Clelia Rossi-Arnaud

The distinction between identification and production priming assumes that tasks based on production processes involve two distinct stages: the activation of multiple solutions and the following selection of a final response. Previous research demonstrated that divided attention reduced production but not identification priming. However, an unresolved issue concerns whether the activation of candidate solutions is sufficient to account for the enhanced request of attentional resources, independently from the contribution of selection processes. The present paper investigated this question by using a version of the lexical decision task (LDT) in which the target words had either many or few orthographic neighbors. Two experiments showed that the effects of divided and selective attention were equivalent in both conditions, suggesting that the inclusion of a process of generation of multiple solutions in the LDT is not sufficient to increase the amount of cognitive resources needed to achieve full priming to the levels of production tasks.


Author(s):  
Nivetha Martin ◽  
◽  
Florentin Smarandache ◽  
Said Broumi ◽  
◽  
...  

The production sectors are optimizing its profit with the employment of smart materials at recent times and one of the challenges faced is the selection of smart materials. This article proposes a new decision-making method based on the approach of PROMTHEE plithogenic Pythagorean hypergraph. The efficiency of the proposed method is determined in the selection of smart materials that are significantly utilized in the production processes by the production sectors. In this research work, the decision-making on smart material selection environment is characterized by four major influencing factors such as production processes, operational necessities, fiscal constraints and external effects with eighteen sub-factors. The main objective of this research work is to determine the core sub-factors persuading the selection of smart materials based on the five-point scale of expert’s opinion represented as a Pythagorean neutrosophic number. Out of eighteen sub-factors, four significant factors belonging to each of the major factors were identified by this method. The plithogenic hypergraphs with Pythagorean representation are the extension of plithogenic hypergraphs and the novel decision - making method with the integration of PROMTHEE developed in this article will certainly benefit the decision-makers on smart material selection. Comparative analysis on the criteria is also made based on Pythagorean neutrosophic sets & neutrosophic sets.


Sign in / Sign up

Export Citation Format

Share Document