The screw nut (Fasteners) is known as the ¡§Rice of Industry¡¨. It is mainly applied on durable products such as automobile, electric apparatus, machinery, construction and building. Most of the durable products belong to the global products except the construction and building, which belong to regional. Due to the global competition, the competitions among the systems and supply chains have been formed. The improvement of the individual enterprise is not able to rely on the resource and ability of that organization only. It should operate across the border of the enterprises, and operate cooperatively with the downstream clients of the supply chains and the upstream manufacturers in order to improve the global competitiveness of the supply chain and seek for further development. Nowadays, the Vendor Managed Inventory (VMI) is the core of the trend of supply chain management (SCM) of global Fasteners industry. Taiwan is known as the empire of screw nut and it is not possible to neglect the operation trend of the global Fasteners market. This study attempts utilizing the characteristics of the System Dynamics, for which it is excellent on studying dynamic complicated system, to analyze the operation mechanism and structure of the Fasteners supply chain under VMI mode and applying synchronized mode. The individual dynamic model will be established to simulate the overall operation of the supply chain and compare the advantages and disadvantages of the two models. In addition, according to the major operation conditions and the demanding types, the model established by this study is utilized to develop the decision-making support tool for implementation of VMI mode of Fasteners industry. The conclusion of this study include (1) adding the synchronized model to Fasteners supply chain VMI mode can improve the operation performance of the enterprise, (2) to establish the design principle and steps of adding the design of synchronization to VMI mode. There are two contributions in this study: (1) the collocation of adding synchronization to the VMI mode model has proved that the combination with the synchronization mode can improve the performance of VMI mode. (2) The design principle and steps of adding the design of synchronization to VMI mode can be the reference for design steps of adding synchronization mode to the industry that implements VMI operation mode.

The franchising business in Taiwan has become a war zone during past few years. Many international brands invaded this market with great capital, know-now, training and strong management. These competitions had brought a heavy challenge to the existing franchising business in Taiwan. Many of the original franchising business believe by expanding their location rapidly, it will help them maintain their profit and market share, even keep these competitions at bay. However, many of these franchising are lack of proper evaluation system to help them analysis expanding strategy, instead only relaying on the leader instinct and rough figures from past to make these decisions. Little did these business understand rapid expanding bring series of dynamic disadvantages which will only slowly merge in the future and can not be foreseen by traditional strategy thinking. Therefore this study focus on the dynamic approach to franchising business, using Balanced Scorecard and Strategy Map to over view the goals of the business, extend them into Key Performance Index as feasible goals. Finally defined their boundaries and using System Dynamics approach to create a model, construct the casual relation between different elements, using simulation on scenarios to test these models, hoping to find the critical elements which will be key success to franchising business. This study has the following conclusions: All business starts with a goal, but these goals are hard to define, using a series of Balanced Scorecard and Strategy Map will help business create much feasible targets.Using system dynamics model business will be able to look for anti intuition result which usually interference with best decision making.Using system dynamics model to simulate the scenarios will help business to find their leading index element in the business.Using system dynamics model to simulate the scenarios will help business to find the causal relationship between the key elements.

The development of steel industry makes progress simultaneously with economy and society of a country. The steel industry is an important industry for each country. From 2001, there was an insufficient supply gap of steel due to strong demand of China, which pushes main integrated steel works to increase their capacities. However, the mitigation pressure of the emission of Green House Gas make a limitations for capacity expansion. The objective of this study is to make appropriate policies for integrated steel works to cope with new operation environment. From the analysis of steel industry, this study discovers the features and the related operation issues of global steel industry. The relationship between production and CO2 emission was investigated, and the casual loop among the production, revenue, and CO2 emission was analyzed. A dynamic model was developed by system dynamics approach and related tools to simulate the dynamic relationship between the revenue and CO2 emission of steel work. After thorough tests of reliability, model behavior, and policy implications, this model was used to investigate the influence of main operational and environmental parameters on the revenue of steel work. The appropriate production policies for steel works was also proposed. Simulation results showed that, there was no universal production policy without the economic penalty for CO2 emission, but keeping the production under regulation limit was the most suitable strategy after the implementation of economic penalty. Increasing energy utilization efficiency, the ration of R&D budget in annual profit, and lowering the growth rate of production would facilitate the revenue increase of steel work. The simultaneous adjustment of these parameters could downgrade the negative effect of economic penalty. The main strategy to cope with the pressure of the CO2 mitigation is to reduce the unit cost of mitigation. Four approaches can be adopted by the steel work to tackle the CO2 mitigation. They are (1) carefully scheduling the capacity expansion of steel work, (2) actively deriving the legislation of economic penalty for CO2 emission, (3) reducing the unit cost for CO2 mitigation, (4) enhancing the power of R&D activities.

This study focus on the card slave problem, using Professor J.W.Forrest ¡¥s System Dynamic model to simulate the relationship between Card Holder and Banks, hoping to find a solution to help the slave problem. This study has the following conclusions. 1. Most Card Slave are made of their own consumption behavior, but this is only half the reason whey they ended up in debts. During the Credit Card promotion war, banks failed their responsibility and provided these card holder enough limit and not enough credit checks, which is another half reason why the problem occurred. 2. In general, Bank wants to maximum their profit by leaving their customers to pay as much revolving interest , for as long as possible. However, they failed to realize that as the time and debt goes by, card holder starts to lose their repaying ability, and this seriously effects the banks revenues when one day they just cant afford to pay anymore, the repaying ability is never consider in the banks credit limit policy, but it is in fact the most significant fact of them all. 3. Therefore it is best for Bank to use System dynamic method to monitor the repaying ability and dynamically adjust the credit limit and other factors to control the customers¡¦ wiliness to use their card.

The overuse of the coastal resources and overdevelopment on coastal areas led to the result of serious destruction of nature landscape and coastal resources due to the abundance of coastal resources. To avoid the improper development on the coastal areas, it is necessary to have an integrated consideration over the engineering, ecosystem, economics, environmental protection and sustainable development based on the character of coastal land. Therefore, the main conception of this study is to apply the concept of Integrated Coastal Zone Management (ICZM) to take all aspects which might affect the coastal management into integrated consideration, and to accomplish the concept of ICZM by Integrated Assessment (IA). Furthermore, the study constructed a indicator structure of assess coastal management by Driving forces¡VPressures¡VStates¡VImpacts¡VResponses (DPSIR), which takes the production, ecosystem and living environment as three core assessment indicators. Finally, the conceptual model of integrated coastal management is constructed with the help of System Dynamic (SD) and Cellular Automata (CA). This study simulates the influence of the existence of Chang Hua Coastal Industrial Park on the nearby areas such as Hsienhsi county, Hemei town and Lukang town from 1991 to 2021. The main consideration is on the time-series variation of three core indicators and some critical variables as well as the mid-term to long-term tendency on the land use. Three kinds of actions are set for the scenario analysis, including single strategy, multi strategies and progressively varying strategies. According to the simulation results, the action of multi strategies results in the best performance on three core indicators, and the action of single strategy is the worst on the contrary. On seeing the blooming problems over simulation period, the progressively varying strategies are applied in specific time points, and result in better or worse performances depending on different restrictions and resources. The conceptual model constructed in this research is adaptive to simulate the varying tendency on the nearby areas due to the existence of coastal industrial park, and is an efficient and effective assessing measure for the decision persons or the paper worker to understand the influences on different scenarios or strategies applied. Thus better formulations or suggestions over destination areas will be made to help fulfill the concept of ICZM.

The Product Life Cycle (PLC) is based upon the biological life cycle. Through the period of development it is introduced or launched into the market, and the change of sales, the product will experience sprout, maturity, shrink and even die out. The classic product life cycle has four stages: Introduction; Growth; Maturity and Decline. In the complex and rapid variation of business environment, PLC is even shorter than before; the well sell product today maybe is the unsalable stocks tomorrow. Demand volume of product is constantly changing in every PLC stages; what¡¦s the impact for financial performance in inventory cost under different inventory strategy and profit variations, there are dynamic complexities inside with some special properties like non-linear, interconnected, time delay and counter-intuitive, etc. Therefore, this research is using System Dynamics which has been normally used to resolve dynamic complexity problems as the study method to build up a model to simulate all of the inventory strategy in inventory theory that consider the trade off between all kinds of inventory cost to probe into the impact of financial performance in different PLC stage for different product types to figure out the variation developments of all inventory costs. Some conclusions were generalized from the study as following: 1. This study builds up a developmental systemic model which is able to analysis the variation developments between inventory strategy and inventory cost for retail industry. The model includes all of inventory related molds like inventory,inventory strategy, all cost related to inventory, inventory performance measurement, etc. 2. The development systemic model is a very effective tool to support policymaker to measure inventory strategy and financial performance within a short time, to improve the management performance by using the best inventory strategy. 3. The development systemic model built up by this study can different products in different PLC stages and also considering their cost structure to analysis the impact between inventory strategy and inventory cost and variation developments of it.

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This paper presents a model transformation between System Dynamics Model (SDM) and Artificial Neural Network (ANN) to aid model construction and policy design. We first point out a similarity between a System Dynamics Model (SDM) and an artificial neural network, in which both store knowledge majorly in the structure (or linkages) of a model. Then, we design a method that can map a SDM to a special design Partial Recurrent Network (PRN), and prove in mathematics that they two operate under the same numerical propagation constraints. With the established foundation, we then showed that the SDM-PRN transformation could aid SDM construction in the following way: (1) start from an initial skeleton of a PRN model (mapping from an initial SDM), (2) incarnate its structure by learning and (3) convert it back to a corresponding SDM. This approach integrates the capability of neural network learning with a traditional process, which thus makes model construction more systematic and much easier for common people. In the same philosophy, the SDM-PRN transformation could also aid SD policy design. Since any PRN can learn some structures from a historical time series pattern, it can also learn a better structure from a better pattern set by designer. We have investigated the effectiveness and usefulness of two application of the SDM-PRN transformation described above and the results are satisfactory.

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The National Health Insurance (NHI) program was officially launched in Taiwan on 1 March 1995. Three objectives are stressed in the program¡¦s implementation: (1) universal enrollment and equal-opportunity medical care; (2) balanced finances and long-term operational viability; (3) better quality medical care and better health for citizens. The initial balance of revenues and expenditures was stable, but there is a deficit during 1998. In order to prevent the financial status from keeping on worsening, the Bureau of NHI (BNHI) implement the global payment system, and expand the payroll-related premium base. What are the long-tem influences of these policies on the financial status and medical quality? Up to now, those researches of handling the financial problem of the NHI, focused mostly on those influences of the individual policies, rare studied the long-term whole influences of multiple policies. Moreover, those methods of the researches were mostly questionnaires, data analysis, regression, rare simulated methods. Hence, this dissertation applies system dynamics to explore the long-term influences of multiple policies on handling the financial problem of the NHI. There are two purposes in the research. One is that using those interacted relationships of decisions taken by the BNHI, beneficiaries, and contracted medical care institutions to understand those causes of the financial problem of the NHI, the other is that evaluating the long-term influences of multiple policies on handling the financial problem of the NHI. This research reaches two achievements. First, submitting casual loop diagrams focused on the financial problem of the NHI, can provide the BNHI, beneficiaries, and CMCI to have a further understanding on the financial problem of the NHI. Second, building the model of the financial problem and policies of the BNHI can simulate and evaluate he results of multiple policies on handling the financial problem of the NHI. In order to improve the financial imbalance of the NHI, the BNHI proposes three policies. Policy I, implement the global payment system. Policy II, implement the global payment system and expand the payroll-related premium base. Policy III, implement the global payment system, expand the payroll-related premium base and promote health communication. The simulation results are as follows: Policy III can solve the financial imbalance of the NHI and improve the health of citizens. This research has two reservations. First, only explore the financial status and medical quality. Second, different criteria using for judging the priority of policies under multilple objectives may have different results. Hence, the future research can deeply consider extending the model boundary and selecting the criteria using for judging the priority of policies under multilple objectives.