Purpose: The aim of this study is to examine knowing the real role and impact of manufacturing flexibility on competitiveness through operations management practices, which is to determine the role and impact of manufacturing flexibility on competitiveness directly in the General Company for the Battery Industry. On the other hand, identifying the indirect role of flexible manufacturing systems in enhancing competitiveness. Theoretical framework: The main purpose of the theoretical framework is to identify all the dimensions and variables included in the current study, and thus form a deep scientific view of the study and its variables. Design/methodology/approach: field coexistence, personal interviews, and classification of data and information obtained in the questionnaire were adopted as the main tool used in the research and for a sample of 74 observations. Structural equations modelling was used to analyze the data using the programs (SPSS24, AMOS23). Findings: the research reached important results that represent The most prominent of these is the significant impact of manufacturing flexibility in enhancing the competitiveness of the battery manufacturing company, and this effect is reinforced by improving operations management practices by the company. Research, Practical & Social implications: The research was conducted in this company because it requires scientific research capable of solving many of its problems as a result of increased competition in the market, as well as the continuation of this company in production despite the cessation of many other companies as a result of. Value: It stems from a vital issue related to aimed at a better future in terms of Operations Management Practices, Flexibility of Manufacturing, Operations Management Practices, and Competitiveness, especially after the crisis that led to a significant decline in the level of performance of organizations.
Fluidization process is widely used by a great assortment of industries worldwide and represents a trillion dollar industry [6]. They are currently used in separation, classification, drying and mixing of particles, chemical reactions and regeneration processes; one of these processes is the mass transfer from an immersed surface to a gas fluidized bed
The aim of this study is to know the effect of using locally manufactured fishmeal and its nutritional value note that its manufactured from uneconomical local fish are not for human consumption. Cyprinus carpio fed with three different diets levels of locally manufactured fishmeal at a rate of 0.03 and 0.05 of the body weight. For control treatment (C1), the second treatment (C2) and the third treatment (C3). It was found that the C3 was superior to the first two parameters, control (C1) and (C2), in most of the studied standards with a high significance level (P≥0.05). The average final weight of the fish in the third parameter (C3) was 7.75g. The daily growth rate (DGR) of the th
This research deals with a part of our heritage and Arab culture, which is the poetry of contemporary Islamic poets, especially the poetry that was said in the mother in contemporary Islamic poetry, when extrapolating the offices of some contemporary Islamic poets found a clear presence of the mother, and during the search for the subject or its I found that the subject did not receive research and study, although the bureaus of contemporary Islamic poets included in it a huge amount of verses in which they stood at the mother Pharthua, and expressed their feelings and emotions towards them, and accordingly this research tagged (mother in contemporary Islamic poetry _ Dr Artistic models in models of contemporary Islamic poetry) to stand
... Show MoreThe δ-mixing ratios have been calculated for several γ-transitions in 90Mo using the 𝛔 𝐉 method. The results are compared with other references the agreement is found to be very good .this confirms the validity of the 𝛔 𝐉 method as a tool for analyzing the angular distribution of γ-ray. Key word: population parameter, γ-ray transition, 𝛔 𝐉 method, multiple mixing ratios.
The objective of this study was to develop neural network algorithm, (Multilayer Perceptron), based correlations for the prediction overall volumetric mass-transfer coefficient (kLa), in slurry bubble column for gas-liquid-solid systems. The Multilayer Perceptron is a novel technique based on the feature generation approach using back propagation neural network. Measurements of overall volumetric mass transfer coefficient were made with the air - Water, air - Glycerin and air - Alcohol systems as the liquid phase in bubble column of 0.15 m diameter. For operation with gas velocity in the range 0-20 cm/sec, the overall volumetric mass transfer coefficient was found to decrease w
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