A study of an enlarged JIT and its impact on JIT implementation and performance of the production system

1990 ◽  
Vol 9 (3) ◽  
pp. 438-439 ◽  
Author(s):  
JunHo Paek
2007 ◽  
Vol 40 (6) ◽  
pp. 395-402 ◽  
Author(s):  
A. Kumaresan ◽  
K. M. Bujarbaruah ◽  
K. A. Pathak ◽  
Bijoy Chhetri ◽  
S. K. Ahmed ◽  
...  

1998 ◽  
Vol 22 ◽  
pp. 81-84 ◽  
Author(s):  
N. S. Jessop ◽  
M. Herrero

In order to understand and ultimately predict the voluntary intake and performance of ruminants, it is necessary to know the nutritional value of foods. Most recent systems for predicting nutrient supply are dynamic in nature and characterize foods in terms of the quantities of available nutrients and their potential rates of supply. The in vitro gas production system has been used to characterize the carbohydrate fraction of foods in this manner. For the technique to be able to do this, two assumptions must be satisfied. First, that the rate of fermentation is limited by characteristics of the food and secondly that the pattern of gas production correlates closely with the pattern of food fermentation.Low microbial activity within the system could invalidate both assumptions since it could (i) limit the rate of food fermentation, thus not allowing the potential rate determined by the physical and chemical nature of the food to be measured and (ii) result in partition of food carbohydrate into new microbial matter, thus reducing the amount of volatile fatty acids and hence gas produced per unit of food fermented.The aims of this study were mathematically to simulate food fermentation within an in vitro system and to use this representation to investigate the potential effects of variation in microbial activity on the characterization of foods.


2009 ◽  
Vol 62-64 ◽  
pp. 293-302 ◽  
Author(s):  
J.O. Ajaefobi ◽  
R.H. Weston

To cope with high levels of complexity, competition and change requirements, manufacturing enterprises (MEs) need to continuously improve their process and resource system performances. Enterprise Modelling (EM) is considered a prerequisite for enterprise integration and performance improvement because it can be used to capture relatively enduring knowledge about any specific business environment in which production systems will be deployed. With this prerequisite in mind, EM principles were deployed to capture and develop ‘static’ models of an SME. This provided detailed descriptions of enterprise production operations and their precedence relationships. A discrete event simulation tool was then used to develop time dependent ‘dynamic’ models of selected process segments of the specific case Enterprise Model. This allowed the computer execution of alternative production system designs to be assessed under SME specific changing scenarios and enabled suggestions for potential improvements to be made.


Author(s):  
Galina Eduardovna Ganina

Recently there has appeared an apparent trend of increasing diversity of products, as well as a simultaneous increase in the frequency of their turnover. However, modern production lacks dynamics in its development, which is associated with the low change of resources during the transition to new products. To describe the production system there has been proposed a productional approach. The traditional factors of efficiency of production systems are reviewed and systematized: factors of organizational structure, technology and available resources. The process of the production transformation based on the mechanism of routine and creative transformation of work activities identifies new factors of efficiency of a production system: the effectiveness of creative activity, efficiency of scientific activity and performance of automation. The mutual influence of traditional and new factors of efficiency of a production system has been considered. The effectiveness of creative activities improves the efficiency of a production system through the factors of technology, resources and quality of the project of output product. The effectiveness of scientific activity affects the factors of technology and creates conditions for further automation of production. The automation efficiency increases the efficiency of the production system through the factors of technology and resources, freeing up people for deployment within a production system. New ideas of production systems analysis allowed to hypothesize the existence of a new factor of increasing the efficiency of production systems - accumulating the creative potential by freeing up personnel in the course of automation production. When the creative methods get activated, working routine transforms into creative state. Creative activity is the main driving force of scientific and technical progress; it creates conditions for the dynamic development of industrial enterprise.


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