This paper introduces the industrial transformation model applied to the carmaker industry. We analyze the interaction between supply and demand as well as policy regulations supporting the diffusion of advanced vehicle technologies. It allows to assess prospectively threats and opportunities of induced technology changes for industries. The simulation exercise provides evidence that smart governance approaches involving concerted entrepreneurial and political decision making can avert severe industrial crisis of adjustment during phases of socio-technical transitions. The overall cycle pattern seems to play out over a time period of 50 years. It is strongly influenced by the climate policy regime and the innovation investment behavior of firms. It results in a sectoral boom phase once the transition towards near zero emission vehicles has been mastered. The policy induced technology change pattern is comparable to the long wave theory in terms of its duration and the argument, that deep structural causes are innovation processes in whole technological systems. Moreover, we have identified the drivers of single short term cash cycles. Differences between cash inflow and outflow over time that are triggered by strategy and policy changes explain short term fluctuations.
Over the past few decades, many studies of corruption have been carried out. These studies have mainly focussed on specific characteristics such as: economic issues, legal issues, social propositions, impact on national development, and in relation to economic policy. The rationale of this research is to build initial system dynamics models of corruption, so that these models can extend our understanding of corruption and act as an input to future policy making on corruption. System dynamics modelling allows researchers to discover hidden dynamics. Moreover, system dynamics enables the analyst an increased level of flexibility, as system dynamics modelling uses both theoretical understanding, as well as empirical data collection. Indeed, as a result of this study, we can offer an explanation that uncovers the underlying factors that address the dynamics of corruption, social, economic, political, judicial and cultural factors in case of any developing country, which can be applied with some modifications for developed world. In this we try to determine problem of corruption in societies by incorporating very complex and different social, cultural and even religious aspects that were mostly untouched in system dynamics studies in past. Systems dynamics model of corruption developed in this study would be of use to policy makers and non-governmental organisations in understanding the complex nature of corruption.
Accounting Dynamics (AD) is a methodology of accounting as social science. We studied Accounting Dynamics from 1982 to 1994. We first proposed the concept of Accounting Dynamics on International System Dynamics Conference in 1987 . We interrupted the study for a long time, because there were some difficulties to develop the real Accounting Dynamics models. The concept is still reasonable and so attractive that we have reviewed Accounting Dynamics again. This is first step to restart the project and show you Accounting Dynamics in order to organize the SIG. This paper shows what is "Accounting Dynamics" clearly.
There are many studies exploring the reasons behind failures in solving generic system dynamics (SD) problems such as stock- flow (SF) failure. Although they reach some limited associations, they do not find any significant cognition related factor explaining the variation in failures except the positive impact of visual saliency of the problem displays. In present study we put forward the question Does cognitive problem solving capability improve progressively? So, we prepare a performance sheet including two parts. First part consists of simpler SF problems and second part contains more complex ones. Then we ask these questions to motivated undergraduate industrial engineering students. Sample of participants consists of two groups. First group is SD educated and second group is not SD educated. We see that while some individuals are performing well in solving more complex SD problems, others are performing well in simpler ones, and ability to solve more complex problems is not dependent on performance in solving simpler ones. But we find associations between capabilities of solving two different more complex SF problems each other. We also see that SD education increases the capability of solving more complex SF problems but does not affect the capability of solving simpler SF problems.
Inter-firm trust is an essential element in supplier relationship that shapes the collaboration and coordination between suppliers and buyers. In this paper, we use system dynamics as an approach and perspective to analyze the evolutionary process of supply chain collaboration. Use a valve manufacturing firm as an illustrative case, this paper illustrates how a buyer firm in a networked supply chain unexpectedly harmed the inter-firm trust between the buyer and its suppliers that further resulted in the collapse of the relationships among them. Based on the quantitative system dynamics model developed, this paper argues and shows that supply chain relationships may be more complex than the consideration of transaction costs. Path dependency of the make or buy decision may exist and drive a supply chain to evolve over time. Buyers and suppliers rational decisions to reduce their own risks and to optimize efficiency may not only interfere with the benefits of the other side but also entrap a long existed supply chain to collapse. From the economic perspective, how to balance the time required for capacity expansion and the time for suppliers to develop new customers is of the essence in such a vulnerable supply chain setting.
Presented here are strategic planning tools used at a State University, College of Business. Four distinct tools are presented: The Strategic Initiative Scoring Model, which communicates how the college strategic planning execution projects fit the strategic priorities of the Universitys mission statement & strategic plan; the college Strategic Risk Planning Matrix, which describes both risk assessments and risk management plans; the college Strategic Planning (SD) Model, which is used by administrators to assess impacts from proposed or mandated changes in budgets, admissions, Student-Faculty Ratio targets, and faculty hiring/attrition; and the Strategic Performance Indicator matrix, used to monitor performance and drive the creation of new projects to be assessed in the Strategic Initiative Scoring Model.
Human resource requirements planning for nursing capacity has traditionally focused on expected utilization or demand and largely ignored the complex workplace policies. The approach taken in this research emphasizes the interaction of policies affecting compensation, work intensity, task satisfaction and career progression on hiring and retention the flows that determine the stock of nurses. Based on research conducted with Singapore Ministry of Health, we describe how policy changes influence employment levels at care venues over a strategic time horizon. To answer three research questions posed by experienced planners and managers, we employ a System Dynamics model to test and explain the implications of alternative policy choices.
A water cycle analysis System Dynamics model for designing an optimal reclaimed water production scheduling is proposed. A water cycle has various types of water flow and storage, so System Dynamics is suitable for modeling and simulating it. In addition, by using System Dynamics modeling software, various types of models for water cycle analysis can be modeled comparatively easily and used to design an optimal scheduling. The model must be able to analyze water quality and energies for water distribution and treatment as well as water flow and storage in order to schedule optimal production. It therefore consists of three components: water flow, water quality, and energy models. We constructed a water flow model that can handle various types of water flow. The Energy model computes the energy consumption of the pumps and blowers used in water distribution and water treatment systems, and the water quality model computes the water quality of treated wastewater and reclaimed water. Our constructed model was used to schedule water reclamation production to reduce the energy consumed during the water reclamation process and to ensure high quality of the reclaimed water. Simulation results showed that the proposed model is effective for designing an optimal scheduling.
Methods of systems analysis were applied to the illness multiple sclerosis (MS). By mapping causality among the many causes affecting multiple sclerosis, we have been able to show that it is a systemic illness, with multiple interacting causes and mechanisms. By using causal-loop diagrams we synthesized a systemic picture of MS in which the role of allergies, pathogens, molecular mimicry, venous vascular dynamics, membrane stability, immune system, and oxidants-antioxidant dynamics were integrated. There are important components that make up MS:
The TETRA-model has been built to predict the modern occurrence of ancient Athenian tetradrachm silver coins in quantitative terms, based on their original minting volumes an antiquity and the processes of their loss and destruction, as well as the process of finding them in modern times. The conceptual model was developed as causal loop diagrams and flow charts, based on Athenian siver mining dynamics, the minting process, the circulation in trade and finance in ancient Athens, rates of wear and loss of coinage, corrosion of coins in the buried state, modern retrieval rates and dynamic turnover in the numismatic market, as well as deposits into collections and museums. A systems dynamics model was programmed in the STELLA modeling environment and implemented for 500 years of Athenian coin production (526 BC to 42 AD) and preservation and retrieval until the present (526 BC to 2010 AD). The TETRA model was tested against independent estimates of past and present coin volumes, treasure finds, museum stocks. The model seems to work well in tests against independent estimates. The approximate number of coins surviving until today for the different types such as archaic owls, classical owls, transitional owls, heterogeneous owls and new style owls were predicted well within the estimates derived through other means and museum inventories (r2=0.82).
By using an integrated dynamic model we are able to reconstruct the supply and gold price of the past (1920-2010) and this is used to predict the future supply of gold to the market and to make a forecast of the gold price 2010-2100. The model was validated against field data for the period 1920-2010 and it performs well. The simulation results show that the market is fundamentally driven by supply and demand, but that derivates trade and speculations have affected the market significantly to create large short term variations in price. In the long term, the model predicts a shift from high-grade ores to low-grade deposits as the main supply source in the next 50 years, but that recycling will become the most important source of gold to the market. The authors predict a significant tightening of the gold market, with rising prices and a decreased derivates trade as compared to trade in the physical commodity. The model shows clearly that foreward and derivates trade create less stability and increase price fluctuations, but that they cannot prevent the long term trend from basic fundamental factors to set the long term levels.
Adaptation of SD mainly focuses on management and environment aspects, and successes to get enormous reputations from results. However, adaptation of SD is not limited on these areas, but disseminating to psychology and military science recently. Author believes such adaptation should be wider to other fields too. Continuous of such adaptation, this paper tries to build SD model for study literature with quantitative explanation and understanding. William Shakespeares Tragedy of Romeo and Juliet is one of best works in his early age. Similar story also looked in other literatures in other countries including works of Chikamatsu Monzaemon in Japan and opera Tristan and Isère. Added more, Romeo and Juliet was adapted to other forms of arts and literatures including Broadway musical West Side Story.