Nowadays many companies are interested to improve their production system. It has become important in globalize and competitive market for the survival. The companies are looking to their production systems in the different direction to get the competitive advantages. But the most important is to find out the problem of the production system to make improvements. In this thesis, a part of the production system of a company is studied to find the problems of the production system to make the improvements and to recommend some points to the company for the achievements of its goals. For this purpose, the overall equipment effectiveness calculations have been used to see the current situation of the production system of the company. These calculations of the O.E.E. of the different production work stations make the clear picture of the problems. It calculates the availability of the production system which shows that maintenance system’s effectiveness. The quality rate calculations of the work stations show the conditions of the machines and the worker’s skill and the calculations of the performance efficiency of the work stations show the utilization of the machines. The result of this thesis after all the calculations of O.E.E. is that there is a problem in the utilization of the machines. Most of the time the machines remain idle or wait for the maintenance if it fails.

I examensarbetet har avvikelse- och underhållsrapporter rörande FörstaAmfibieregementets stridsbåtssystem analyserats för att finna eventuella brister. Iexamensarbetet finns statistik från hela 2008 representerat. Utifrån de rapporter ochden statisktik som dessa brister givit upphov till har de delsystem och komponentermed störst felfrekvens blivit granskade. I rapporten presenteras troliga orsaker tilluppkomna fel och brister, men även förslag på åtgärder för att öka tillgänglighetenpå systemet.Under arbetet med rapporten har det dock visat sig att marinens Drift, Informationoch Underhållsstödsystem (DIUS) kan vara den största orsaken till en minskadtillgänglighet. Systemet är inte anpassat för det stora antalet marina enheter ochpersonal som arbetar med systemet och de sistnämnda har inte alltid rätt utbildning. / This thesis has analysed incident and maintenance reports concerning the FirstMarine Regiment’s combat boat maintenance system. The aim was to find thosepossible deficiencies and shortcomings causing reduced accessibility. In addition, thethesis includes an analysis of maintenance-related statistics reported in 2008. Byusing these reports and statistical data as our factual base, we have examined thoseparts of the maintenance system and its components most frequently affected bydeficiencies and shortcomings. The thesis presents the most likely reasons for thesenegative occurrences, but also recommendations regarding measures that willincrease the overall accessibility.During our research, however, it also became evident that the main and most likelyreason for the reduced accessibility was the inherent capacity of the maintenancesystem (DIUS) used by the Royal Swedish Navy. In conclusion, this system is notsufficiently adapted to the great number of naval units and personnel who are usingit. Further, the naval personnel operating the system sometimes lack adequatetraining.

In recent years the electric power industry has been challenged by a high level of uncertainty and volatility brought on by deregulation and globalization. A power producer must minimize the life cycle cost while meeting stringent safety and regulatory requirements and fulfilling customer demand for high reliability. Therefore, to achieve true system excellence, a more sophisticated system-level decision-making process with a more accurate forecasting support system to manage diverse and often widely dispersed generation units as a single, easily scaled and deployed fleet system in order to fully utilize the critical assets of a power producer has been created as a response. The process takes into account the time horizon for each of the major decision actions taken in a power plant and develops methods for information sharing between them. These decisions are highly interrelated and no optimal operation can be achieved without sharing information in the overall process. The process includes a forecasting system to provide information for planning for uncertainty. A new forecasting method is proposed, which utilizes a synergy of several modeling techniques properly combined at different time-scales of the forecasting objects. It can not only take advantages of the abundant historical data but also take into account the impact of pertinent driving forces from the external business environment to achieve more accurate forecasting results. Then block bootstrap is utilized to measure the bias in the estimate of the expected life cycle cost which will actually be needed to drive the business for a power plant in the long run. Finally, scenario analysis is used to provide a composite picture of future developments for decision making or strategic planning. The decision-making process is applied to a typical power producer chosen to represent challenging customer demand during high-demand periods. The process enhances system excellence by providing more accurate market information, evaluating the impact of external business environment, and considering cross-scale interactions between decision actions. Along with this process, system operation strategies, maintenance schedules, and capacity expansion plans that guide the operation of the power plant are optimally identified, and the total life cycle costs are estimated.

Different from terrestrial equipments (tanks and wheeled vehicles) and airborne crafts (planes or helicopters), the R & M (repair and maintenance) issues about naval vessels are profoundly related to their gigantic size, numerous operators, and thousands of various spare parts which individually have small quantity demand for logistic support. That is why the R & M of naval vessels is much more complicated. According to the Defense White Paper of 2009, the whole military force is going to be downsized. Meanwhile, the rescuing and relieving tasks for natural disasters have also been officially assigned to them. Therefore, the attendance rate of ships is increasing, which causes lower reliability and higher failure rate and consequently the rising R & M load. The dynamical complexity existing among the variables associated with R & M of naval vessels, which are non-linear, interconnecting and time-delaying, makes the system dynamics a very suitable theory for analyzing this kind of issue systematically. During the study, a model was built based on system dynamics. After reviewing related literatures and discussing with professionals in this field, the associated variables were defined and their casual diagrams were also established. We developed the stock-flow diagrams of three subsystems-- R & M process, man power, and material supply. Afterward these three subsystems were integrated into an R & M dynamical system model. Policy influence simulation and scenario design was carried out after basic tests confirming its validity. The results indicated that a higher R & M capacity could obviously reduce the number of ships stalled in shipyard and effectively increasing the discharge rate. Therefore we recommended the associated authority to boost R & M capacity by aggressive actions such as increasing the ratio of recruitment, building R & M knowledge management system and strengthening the education and training. For the follow-up research, we suggest more interviews with industrial personnel and experts, collecting R & M data for each type of naval vessel, deliberating the factors influencing the R & M from different aspects and appropriately defining system boundary in order to establish a model which is more similar to the real world. Therefore its simulated results can approach to the reality further, and the scenario analysis with conclusions induced from policy influence simulation can be more specific for the authorities. Keywords: repair and maintenance of naval vessels, system dynamics, strategy

National economic development relies on long-term stable supply of electricity, and the stability of electricity supply absolutely relates to the quality of maintenance of power generation units. In the past, the electricity supply of Taiwan was exclusively dominated by the state-run Taiwan Power Company (Taipower). Following government de-regulation policy, the private IPP (Independent Power Plants) also have joined the grid of Taiwan's electricity supply that diversified electricity power supply. This study collects power generation equipment maintenance cost information bases on practical detail cost information and labor cost paid by employer that listed in law or regulation. The information of estimating contrast cost which cannot be easily quantified is collected by questionnaire of power plant and contractor personnel who response for estimating cost of power generation equipment maintenance in order to gather practical cost estimating rules. After summarizing and analyzing collected maintenance cost data, easily calculating cost estimating model for power generation equipment had been proposed. The model can be set as criteria for cost estimating and examine the maintenance contract price of contractor in view of contractor cost. Power generation industries had faced severe cost pressures due to the high rising fuel costs, but not readily reflect the cost of power generation to the electricity charges. In the condition of high price of fuel, the only way to save operational cost was to reduce expense of equipment maintenance and other operation costs. So, the power plants aim at lowing equipment maintenance costs to meet limited budget. Most power plants plan their equipment maintenance budget according to quotation of original equipment manufacturer or professional contractor. There are lacks of related cost information to examine whether the quotation is reasonable or not. The study showed that the scale of contractor companies, indirect cost apportionment can affect indirect costs of contract cost, thereby affecting the contract price. The estimated profit will vary with many factors case by case such as market competition level, technical difficulty, working season, and duration etc.

The management of equipment based on Reliability-Centered Maintenance (RCM) has been widely applied with great success in several industries such as military, commodity production, civil airliners, nuclear power plant and the petroleum industry since the reprint of RCM-II written by John Moubray in 1997.The application of RCM not only increases the reliability of the equipment and the assets of a company but also promotes the overall equipment effectiveness (OEE), which includes the excellent ok yield to order and the better productivity of the equipment. As a methodology, RCM differs from the traditional equipment maintenance in the aspect of emphasis of maintaining the ¡§function¡¨ of the equipment instead of the equipment itself. Therefore, the need of equipment maintenance results from the speed and the severity of function loss, which determines the strategy and interval of equipment maintenance. This is the major difference between RCM and time based maintenance (TBM). This article discusses the critical success factors that drive the application of RCM in steel plant. The result reveals that the application of RCM could promote the reliability of equipment, cut the cost of maintenance and increase compatibility of the steel plant. In order to facilitates the implementation of RCM in the steel mill, the basic skills of the management includes the construction of vision¡Bconsensus¡Bthe set up of regulation and the cultivation of innovating culture. so as to build an effective managing teamwork features in strong execution. As for the equipment management both the standardization and the strict deviation of equipment function(6£m) are vital to sustain the excellent equipment reliability. The Integration of Maintenance Management System(IMMS) consists of three components, CMMS(Computerized Maintenance Management System) and RTMS(Real Time Monitoring System) link by RCM. RCM acts as a bridge for the information flow of maintenance management in the IMMS and promotes the effectiveness of maintenance management.

Facing the advent of knowledge economy in the 21st century, the competitive advantages for enterprises have been transformed from physical land, capital and labor to invisible knowledge. Knowledge has become the most important assets for business. Thus, knowledge management is the most important issue in the age of knowledge economy for enterprises. TPM (Total Productive Maintenance) is based on Preventive Maintenance (PM) system from U.S. PM was first introduced to Japan in 1950s to 1960s, and then transformed to TPM by being added with local notions and concepts. JIPM (Japan Institute of Plant Maintenance) started to promote TPM in Japan since 1971. After TPM was introduced to Taiwan in 1994, it¡¦s been remarkably aware that TPM improved enterprise effectiveness and strengthened the competitive advantages of business as a result of implementation by the enterprises. Employees created amounts of knowledge to solve problems after the enterprise adopted TPM. It helps employees to improve the performance on their jobs. It seems that knowledge management activities are embedded in TPM but has not be evoked enough attention. This research explores the relationships between TPM and knowledge management activities by case study method. The findings present a result that the generation of knowledge is more obvious in TPM, but the repository of knowledge is needed to improve compared with processes of knowledge management activity. The research result may help to provide a concept as a reference for enterprises.

Management decisions in complex industrial facilities usually consider both the economic and environmental aspects of the plant's performance. For nuclear power plants (NPPs), safety is also a very substantial issue. The objectives of this dissertation are to develop and demonstrate a novel useful conceptual model that could be used to allocate maintenance funds for a nuclear power plant in such a way as to meet all specified safety requirements and objectives, while achieving a high degree of economic performance. The model is based on the general theory that the reliability of a plant at any time is a function of its initial reliability and the maintenance history of the individual plant components (Smith, 1997). Such a model can assist in evaluating strategic management decisions regarding allocation of funds for nuclear power plant maintenance. It could be used as a simulation tool; various scenarios could be studied to answer "what if" questions. Simulations of this type will allow a better understanding of the relationship between maintenance, economic performance, and safety, and consequently will lead to better decision making. The novelty of this model is tied to the intimate relationship that it develops between maintenance activities at a nuclear plant, and their relationship to prescribed safety requirements and to the economic performance of that plant.

Manufacturers use resale price maintenance (RPM) for a variety of reasons. In a conventional market setting, when factory price is fixed, profit is maximized by ensuring the lowest possible retail price. The higher retail price ensured by RPM mean a lower quantity sold, since demand is downward sloping. The explanations of RPM remain controversial after many scholars¡¦ investigations. Pro-competitive arguments view RPM as a marketing practice that ensures an efficient distribution system. Anticompetitive arguments contend that manufacturers use RPM to maintain cartel prices and reduce competition among retailers. Understanding the incentives to adopt RPM is critical both for marketing scholars and for antitrust policymakers because RPM, which is employed over the wide variety of products, is the most important vertical restraints, in terms of both the frequency of use and the number of legal cases generated. In Taiwan, the applicability of RPM is limited by Fair Trade Law. Fair Trade Commission considers that RPM is per se illegal as a vertical restraint against competition The explanation for RPM often cited is the special services argument, which indicates the discounter will draw customers from the retailers that provide full services when RPM is not employed. However, in practices, RPM is used in a much wider variety of products than the special services argument would predict. In this research, we examine the RPM property from the risk perspectives and determine how the incentives for using RPM are affected by the changes of economic variables. We find that the imposition of RPM is appropriate in the circumstances where retail price variance is high, sales quantities variance is low and the correlation between two variables is positive. In addition, we find that RPM can be a substitute or complement for advertising, as is found in the existing literature. Our model clearly exhibits the relationship between advertising and RPM, which are both important marketing strategies. We also find that RPM can reduce consumers¡¦ incentive to delay purchases. As the demand price elasticity increases, RPM is more strictly employed by manufactures who want to eliminate purchase delay caused by frequent markdowns. We also perform empirical tests to show that the motivation behind RPM is to reduce the negative externality of frequent markdowns on consumers¡¦ purchase delay.

In contrast to the declining numbers of new-cars sold in Taiwan, the revenue of car repairing has grown year by year. However, many third-party (non- manufacturer -owned) garages still went bankrupt every month. Therefore, for keeping their profitability and sustainability, those third-party garages need to boost their competitiveness. The main purpose of this research is to find the methods of increasing third-party garage¡¦s competitiveness. This research uses simulative skills to study the selected object. The scope of this study contains the third-party garages¡¦ maintenance management system, cooperative models with suppliers, and customer relationship.