This paper tries to develop a simulation model for managing the parking systems for the city of Kaohsiung . The system dynamics methodology is employed to formulate the model. The causal structure is compartmented into five sectors: (1) the urban activity/travel sector, (2) the modal split sector, (3) the parking sector, which comprises parking supply and parking demand subsystems for both curb and off-street parkings, (4) the traffic/parking interaction sector, and (5) the financial management sector, which attempts to develop causal links between the revenue sources and expenses of the parking system. The model provides the city administrators a policy lab for parking systems management.
This article describes a tool called KBSIM and its use in model preprocessing. KBSIM consists of a knowledge acquisition system and a systems knowledge modeler which translate the responses of human tutors into structural models and facts housed in a system knowledge base. KBSIM accesses and manipulates the knowledge base through an iterrogation engine to produce information on the structure and function of a described system. KBSIM's knowledge base is a hierarchical set of matrix mapped structural models of a system to an expert level of detail. The tool is useful in integrations and strategic management, technology selection and systems modeling and analysis.
Northwest will be a strategically key region for the economic: development of China in the early next century. The Macro-soeioeconomic Model-·SD for a northwestern province (abbreviated to MASEM-SD) has been built. The main purpose of the model is to research into the internal and external conditions and the proper policies which are necessary to realize the great goal in 2000 set by the People's Government of the province. The model further exhibits prospects for the province in the next century and put forth some potential problems that should be paid attention to.
This paper is based on the premise that there is a need to formalise the procedures used in system dynamics. outside the area of computer simulation analysis, to create a stepwise procedure for systemic analysis. This need arises within the subject when applications encroach on areas where quantification is difficult or unacceptable or when a full qualified analysis is not an economic proposition or limited by time factors. The paper suggests that qualitative system dynamics should be propogated through the medium of a general framework for system enquiry. The need for general systemic methodologies is examined and the major elements of system dynamics are used to formulate the basis of such a methodology. This formulation presents a means for qualitative problem analysis in terms of the organisational structure and process control structure of systems using generally proven results developed from quantitative system dynamics models.
The purpose of this paper is to describe a proposed framework for policy analysis and design in complex systems based on the transfer to such systems of control modules developed for simplier and more easily quantified systems. The framework is demonstrated by outlining the development of a dynamic allocation algorithm within a system dynamics model of an engineering system and describing its application in a much larger scale amanagement system. A generalised form of the algorithm is presented based on this experience which serves to highlight its isomorphic qualities. It is suggested that this framework provides an integrated approach to structural policy analysis in complex systems which can also be used to generate significant insights and perspectives into both the physical and control structure systems.
The control policies of a dynamic system are manifest in the rates of change of state variables or levels. Irregular variation in a control will introduce random delay of the flow into the related level. Of particular interest are exogenous rapid disturbances to the rate constants of feedback loops. These disturbances lead to small random delays which build up as the system develops in time. A statistical description of this process can be obtained for a simple feedback loop as a function of the spectrum of the time series of exogenous disturbances. An understanding of this behaviour is useful for modelling stochastic systems.
System Dynamics modeling is used as an instructional aid for the teaching of production and inventory management techniques. The roles of Material Requirements Planning (MRP) and just-in-time (JIT) systems in production and inventory management are presented and discussed. By modeling these manufacturing systems, the student can acquire an appreciation of the dynamic relationships between the elements of each system. Some elements of the Dynamo models of these systems are presented. The future opportunities and research needs are discussed.
This paper tries first to put some key factors together in an integrated system (The System Dynamics· Socio-Economic Model of China), and then reveals the dynamics of stimulations and obstructions. The stimulation results of the model show that the stimulation function of different factor changes with time, and at different times, different stimuli will be the leading factors. Overpopulation, shortage in energy supply, transportation backlog, and severe pollution are all serious problems troubling China currently and in the future. The paper also studies some possible ways to remove those barriers.
In this article, we analyze the tendency of technological development and the possibility to catch up with the advanced level in China. The technology progress has been playing an important part in the future, in turn, the economic growth has significant influence on technology level. According to the policy test results, we give the proposal and get the conclusions about developing technology in China.
The purpose of this paper is to identify the main important variables and quantities which interact with the accumulation and accumulation rate, and then to analyze the intrinsic relations among them which are important in accumulation rate decisionmaking. Especially we concentrate on the relations among the accumulation rate and energy, total consumption and effectiveness of accumulation.