Using Theory of Constraints to Control Manufacturing Systems: A Conceptual Model

2013 ◽  
Vol 02 (03) ◽  
Author(s):  
Roberto Panizzolo Patrizia Garengo
2018 ◽  
Vol 7 (4.10) ◽  
pp. 118
Author(s):  
Balaji V ◽  
P. Venkumar ◽  
Sabitha MS

The very purpose of business is to devise profitability and enhance it in all possible avenues sustainable. In a manufacturing environment, thus, there had been a number of techniques and concepts adapted to improvise the effectiveness thereby profits continuously. Theory of Constraints (TOC) adopts a unique con-cept exploiting the constraint to deliver the customer needs. TOC is built on the premise that the weakest link determines the strength of the whole chain. With the advent of Industry 4.0, the manufacturing systems could be exploited to the next best level, leveraging the interaction of cyber physical systems and human beings over the internet. This paper deals with a novel idea of implementing TOC concept blended with Internet of Things (IoT), thereby, the speed of implementation could be augmented for early results. Evidently, the smartness of Things is    derived based on the possibility of informed and proactive decisions.  Hence all the productivity improvement techniques and concepts could be complemented with such concurrent information and analytics, thereby the learning and decisions are much smarter and proactive. A real time industrial environment has been chosen to experiment this approach and the results are furnished paving way for future research and improvisation globally on the industrial environment and on many other competing productivity concepts  


Author(s):  
MYRIAM NOUREDDINE

This paper deals with the generation of a conceptual model of the physical structure of any manufacturing system. The obtained conceptual model shows a clear and linear view of a given manufacturing system. A generic notation is used to guarantee the scalability and the portability of the model. This model maintains a high abstraction level without ambiguity and in a simple format. The generation of a conceptual model for a given manufacturing system is obtained through two steps. The first step describes both the physical structure and the logical structure of the manufacturing system. The second step gives the generation principle of the conceptual model. The approach is illustrated using an example.


Author(s):  
Hossein Akbaripour ◽  
Mahmoud Houshmand ◽  
Omid Fatahi Valilai

The cloud manufacturing (C-Manufacturing) paradigm, as an advanced form of networked manufacturing, has recently been proposed based on a combination of existing manufacturing systems and emerging technologies, such as cloud computing, virtual manufacturing, agile manufacturing, manufacturing grid, Internet-of-things (IOT), and service-oriented technologies. In this study, through investigating the main goals of C-Manufacturing and today's hypercompetitive global marketplace circumstances, a prospective conceptual model called cloud-based global supply chain (CBGSC) has been developed which can overcome or mitigate the issues and risks associated with supply chain processes on a global scale. CBGSC extends the conventional three-tier customer–manufacturer–supplier supply chain model into a new five-tier customer–cloud provider of manufacturing applications (CPMA)–manufacturer–cloud provider of supplying applications (CPSA)–supplier model, in which the CPMA and CPSA tiers act as intermediators in order to enhance the diversity and intensity of the markets and businesses of conventional supply chain parties while securing their own profits. On the other hand, CBGSC enriches the notion of C-Manufacturing by incorporating CPSAs to safeguard smooth and continuous supply of raw materials and goods to manufacturers (physical resource providers), thus prevailing the “share to gain” philosophy within the whole network. Also, aiming to facilitate practicalizing the CBGSC, we have proposed a multilayer architecture for the CBGSC with seven layers of user, interface, application, service, resource virtualization and service encapsulation, perception, and resource, which are blended together via four basic aspects of security, optimality, resilience, and information technology (IT) and information and communications technology (ICT) infrastructure.


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