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- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
- Description:
- The design of modern manufacturing systems is often discusses under the viewpoint of short term effectiveness and efficiency. The demands for the production system are often mono-casual and directly derived from the goals of the production, marketing, and material management. Due to the objective setting processes of those sectors the impact of the manufacturing system to the other members of the supply chain and the long term consequences for the own firm are rarely taken into consideration. To look at production systems from the point of a system viewer includes the necessity not only to take into account the direct effects of a decision like quality, costs, etc. Also the issues to and from other parts of the system like the members of the supply chain and the long term effects should be taken into the decision process. Therefore information about the connections and the effects of these parts of the system are required. The structure of the complexity of this system make it necessary to design a simulation model, Which can show the effects from the design of modern manufacturing systems to the firm and the supply chain. The presentation discusses the core structure and the basic results of a Vansim model, which is designed to inspect these aspects of modern manufacturing systems. After that a short view is taken on the possibilities and the limits of modelling production systems in System Dynamic generally and on the problems to design a simulation model that shows short term consequences as well as long term loop-back results.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
- Description:
- The main objective of this work is to use system dynamics to contrast two alternative visions of the organizational world. According to the first, mature organizations wield increasing power defense of their dominant positions. The implication of this view is that age and experience protect organizations from failure. According to second, old organizations became increasingly vulnerable to challenge by innovative newcomers. The implication of this view that with age and experience organizations become obsolete by progressively losing responsiveness and ability to take advantage of new market opportunities.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
- Description:
- A well-balanced and coherent energy strategy is to safeguard the conditions for economic development. Its importance has stresses the need for effectiveness and efficient energy management at a decentralized level. With the rapid economic development in the past decade, Zhejiang province as one of the economic hot spots in China, is facing the deterioration of energy shortage problem. Although energy supply capacity was increased several times, the trend is becoming more serious. This research focuses on the impact of energy supply and consumption pattern, and important factors that affect both patterns and the relationship between then and discussing the situation of energy shortage problems in the near future. System Dynamics is used to study the complex dynamic system. A system dynamic model was built to analyze the energy shortage problem and its effects in long run. The hypothesis applied dependents to the historical evidence and related knowledge. The model built is simplified with five main sectors: Industrial production sector, Energy demand sectors, Energy supply sector, Financial resource allocation sector, and Energy conservation sector, Some alternative policies are assessed through experiment with the model including finance, energy conservation, and production management policies, etc..
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 23d738ba88f8333bc39725f9cb5bd0b8, ca4810593b2703dcaa087957ab13af91, and 227da936724c4223c5a64764d3922694
- Description:
- The system dynamics community is interested in the ways in which modelling and simulation tools may be used to enhance learning about complex dynamic systems. We hope that this enhanced learning will result in more robust policy making, i.e., improved decision by the policy maker, and henceforth subsequent improvements in organisational performance (as measured by revenues, profit, market share, returns on sale, returns on capital invested, improved social welfare, and so on). There is general consensus within the SD community that the process of building and simulating formal models is a valuable team learning activity for participants involved in the model building activity (Morecroft and Sterman, 1994)
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 23d738ba88f8333bc39725f9cb5bd0b8, ca4810593b2703dcaa087957ab13af91, and 227da936724c4223c5a64764d3922694
- Description:
- Generic structures are central to the aspiration of our field. System dynamics has an explicit goal: to create integrative theories (= models) of different social systems which then make it possible both to understand specific situations and to produce generalisable insights (Forrester, 1961). To a large extent progress towards this goal has involved the use of generic structure causes some confusion because of the range of model types to which this term is applied. Recently this concept has been divided into three sub-definitions, a troika of interpretations 'generic interpretations' which aims to offer a sharper statement of style, purpose and application (Lane & Smart, 199). This work leads directly to the question of confidence. How can a group have confidence that a generic structure can be of use to them? How should researchers judge whether something qualifies as a generic structure? This paper attempts to advance debate on both of these questions. The aim is to explore the extent to which we can support our current confidence in generic structure and to indicate means of improving that confidence.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 23d738ba88f8333bc39725f9cb5bd0b8, ca4810593b2703dcaa087957ab13af91, and 227da936724c4223c5a64764d3922694
- Description:
- The Advanced Research Projects Agency has sponsored a partnership between the Los Alamos National Laboratory and the University of New Mexico to develop a dynamic systems model of a manufacturing process. The main goals are to design a computer model that can be used in graduate education of students in business and engineering and that can be also served as a analytical and planning tool for managers in the US manufacturing sector. A central feature is the use of interactive simulation, where key decision-makers each control dynamically linked sub-models. The promotes a better understanding of the human dimension of complex systems and allows exploration of both teaming and competitive scenarios. At the time of this writing, we are lessons, at the least from our perspective, about the utility and the proper sphere for system dynamics modeling.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 23d738ba88f8333bc39725f9cb5bd0b8, ca4810593b2703dcaa087957ab13af91, and 227da936724c4223c5a64764d3922694
- Description:
- Global climate change has become a major concern for international and national policymakers. Costa Rica has taken a leadership role by announcing an integrated national environmental strategy, including some management of its carbon emission and sequestration. The Costa Rica Carbon Management (CRCM) model is intended to assist national policymakers understand the long-term interactions between the economy, the population and natural processes influencing the country's net carbon balance. The model was originally developed as part of the Business Applications in System Dynamics course at the Sloan School of Management MIT. An expanded MIT modeling team with the support of the center for Sustainable Development of the Universidad de Costa Rica (CIEDES) and the Central American Climate Change Program, is now working to (1) enhance the feedback relationships within the land use and energy sectors and between the economy and the remaining sectors, (2) obtain better estimates of parameters in the model, and (3) develop more realistic policy scenarios.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
- Description:
- We present an architecture of a software-system for computer based experiments with neural networks. For generating the data we use models on the basis of the theory of Systems Dynamics. Practical experience was received in experience with different neural networks and various amounts of data from the well known fishing model. The results can be useful for the evaluation of neural networks.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
- Description:
- The shortening of product life cycle is one of the big problems to be solved in the 1990s. So a lot of energy is used to speed up the R&D-processes put more flexibility to the production line. Time is not the only key-variable of the R&D-process and the production, quality and individuality of the products are getting more and more important. These variables are not only significant for production and the R&D but also for decision making. The classical way to enhance the quality of decisions is the use of decision-support-systems (DSS), often based on artificial-intelligence (AI). Another tool to improve the effectiveness of decision making is management simulation. These tools are used to assist the decision maker with the goal of better results.
-
- Type:
- Document
- Date Created:
- 1996
- Collection:
- System Dynamic Society Records
- Collecting Area:
- University Archives
- Collection ID:
- ua435
- Parent Record(s):
- 227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
- Description:
- Information age comes with network: broadband networks of telecommunication and cable TV, networks of hardware and software, networks of electronic money services, networks of Internet web sites. Recently, some economists have developed a systematic approach to analyze the characteristics of networks. They introduced the concept of network externality and critical mass as building blocks for explaining the positive loop characteristics networks (Katz & Shapiro 1985: Economides 1955). However, their economic model is far from complete and dynamic. Paradoxically enough, the economic model of networks is based on the concept of equilibriums which oppress dynamic behavior of network evolution. In this paper, we developed a system dynamics model of networks focuses in the equilibrium state of networks, the SD model of networks focuses on the historical path towards the evolution of networks.