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Factory (object-oriented programming)

About: Factory (object-oriented programming) is a research topic. Over the lifetime, 9222 publications have been published within this topic receiving 96747 citations. The topic is also known as: Factory design pattern.


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Book
10 Oct 2016
TL;DR: In this paper, it is argued that the suggested courses of action are inappropriate, in that they lead to results which are not necessarily, or even usually, desirable, and therefore, it is recommended to exclude the factory from residential districts (and presumably from other areas in which the emission of smoke would have harmful effects on others).
Abstract: This paper is concerned with those actions of business firms which have harmful effects on others. The standard example is that of a factory the smoke from which has harmful effects on those occupying neighbouring properties. The economic analysis of such a situation has usually proceeded in terms of a divergence between the private and social product of the factory, in which economists have largely followed the treatment of Pigou in The Economics of Welfare. The conclusions to which this kind of analysis seems to have led most economists is that it would be desirable to make the owner of the factory liable for the damage caused to those injured by the smoke, or alternatively, to place a tax on the factory owner varying with the amount of smoke produced and equivalent in money terms to the damage it would cause, or finally, to exclude the factory from residential districts (and presumably from other areas in which the emission of smoke would have harmful effects on others). It is my contention that the suggested courses of action are inappropriate, in that they lead to results which are not necessarily, or even usually, desirable.

11,448 citations

Book
01 Aug 1995
TL;DR: In this article, the authors present a Pull Planning Framework for push and pull production systems and a Pull Scheduling Framework for aggregate and workforce planning in a shop floor control environment, as well as the human element in operations management.
Abstract: PART I THE LESSONS OF HISTORY1. Manufacturing in America 2. Inventory Control: From EOQ to RDP 3. The MRP Crusade4. The JIT Revolution5. What Went WrongPART II FACTORY PHYSICS6. A Science of Manufacturing7. Basic Factory Dynamics8. Variability Basics9. The Corrupting Influence of Variability10. Push and Pull Production Systems 11. The Human Element in Operations Management 12. Total Quality Manufacturing PART III PRINCIPLES IN PRACTICE13. A Pull Planning Framework 14. Shop Floor Control15. Production Scheduling 16. Aggregate and Workforce Planning 17. Supply Chain Management 18. Capacity Management 19. Synthesis-Pulling It All Together References Index

1,297 citations

Journal ArticleDOI
TL;DR: A smart factory framework that incorporates industrial network, cloud, and supervisory control terminals with smart shop-floor objects such as machines, conveyers, and products is presented and an intelligent negotiation mechanism for agents to cooperate with each other is proposed.
Abstract: The proliferation of cyber-physical systems introduces the fourth stage of industrialization, commonly known as Industry 4.0. The vertical integration of various components inside a factory to implement a flexible and reconfigurable manufacturing system, i.e., smart factory, is one of the key features of Industry 4.0. In this paper, we present a smart factory framework that incorporates industrial network, cloud, and supervisory control terminals with smart shop-floor objects such as machines, conveyers, and products. Then, we provide a classification of the smart objects into various types of agents and define a coordinator in the cloud. The autonomous decision and distributed cooperation between agents lead to high flexibility. Moreover, this kind of self-organized system leverages the feedback and coordination by the central coordinator in order to achieve high efficiency. Thus, the smart factory is characterized by a self-organized multi-agent system assisted with big data based feedback and coordination. Based on this model, we propose an intelligent negotiation mechanism for agents to cooperate with each other. Furthermore, the study illustrates that complementary strategies can be designed to prevent deadlocks by improving the agents' decision making and the coordinator's behavior. The simulation results assess the effectiveness of the proposed negotiation mechanism and deadlock prevention strategies.

1,074 citations

Journal Article

1,026 citations

01 Jan 1998
TL;DR: In this article, it is argued that the suggested courses of action are inappropriate, in that they lead to results which are not necessarily, or even usually, desirable, and therefore, it is recommended to exclude the factory from residential districts (and presumably from other areas in which the emission of smoke would have harmful effects on others).
Abstract: This paper is concerned with those actions of business firms which have harmful effects on others. The standard example is that of a factory the smoke from which has harmful effects on those occupying neighbouring properties. The economic analysis of such a situation has usually proceeded in terms of a divergence between the private and social product of the factory, in which economists have largely followed the treatment of Pigou in The Economics of Welfare. The conclusions to which this kind of analysis seems to have led most economists is that it would be desirable to make the owner of the factory liable for the damage caused to those injured by the smoke, or alternatively, to place a tax on the factory owner varying with the amount of smoke produced and equivalent in money terms to the damage it would cause, or finally, to exclude the factory from residential districts (and presumably from other areas in which the emission of smoke would have harmful effects on others). It is my contention that the suggested courses of action are inappropriate, in that they lead to results which are not necessarily, or even usually, desirable.

1,001 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023906
20221,959
2021325
2020532
2019609
2018556