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1
Cavell, Dominique Grace. "Assessment of deteriorating post-tensioned concrete bridges." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267182.
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Liu, Huamin. "Modeling and optimal control of deteriorating production processes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27995.pdf.
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Samani, Pedram. "Experimental evolution of yeast in a deteriorating environment." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95196.
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The rapid pace of anthropogenic global change threatens global biodiversity and the integrity of ecosystems. It is now paramount to understand how organisms can adapt to these changes. Here, I review the literature on the genetic nature of stress responses in Drosophila and bacteria. Then I test how yeast populations adapted to a particular stressor, salt, can resist related stressors which they have not experienced in their recent past, freezing and sorbitol. We found that lines adapted to high salinity did not show increased resistance to sorbitol and freezing. Finally, again with yeast subjected to high salinity, I exposed populations to extremely stressful and continually deteriorating conditions to investigate how adaptation occurs. We found that beneficial mutations started to spread at intermediate stress intensities. We also found that larger populations adapt more rapidly to stress, both because they possess more beneficial mutations and because these mutations have a larger effect on growth. This research will help us understand how population can avoid extinction through adaptation and continues to stress the importance of maintaining large population to allow species survival in a changing environment.Les changements anthropogéniques menacent la biodiversité et l'intégrité des écosystèmes à une échelle globale. Il est donc maintenant essentiel de comprendre comment les êtres vivants peuvent s'adapter à ces changements. Ici, je commence par présenter l'état de la recherche concernant la réponse génétique de la drosophile et des bactéries à l'imposition d'un stress. Je montre ensuite comment j'ai testé la capacité de croitre d'une population adapté à un stress donné, le sel, quand ces populations sont soumis à des stress similaires, la congélation et le sorbitol. J'ai constaté que l'adaptation au sel ne confère pas une plus grande résistance à la congélation ou au sorbitol. Finalement, encore avec la levure soumise à des conditions salées, j'ai exploré comment les populations s'adaptent à un stress important qui augmente continuellement. J'ai découvert que les mutations avec un effet bénéfique prenaient de l'importance dans la population à des niveaux de stress intermédiaires. J'ai aussi découvert que les populations plus nombreuses s'adaptaient plus rapidement parce qu'elles avaient un plus grand nombre de mutations à effet bénéfique et qu'en plus, l'effet de ces mutations était plus grand dans ces grandes populations. Ces recherches nous informent sur le processus d'adaptation et rendent clair une raisons de plus pour laquelle une grande population augmente les chances de survies de l'espèce dans un environnement changeant.
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Dagg, Richard Andrew. "Optimal inspection and maintenance for stochastically deteriorating systems." Thesis, City University London, 1999. http://openaccess.city.ac.uk/8227/.
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This thesis concerns the optimisation of maintenance and inspection for stochastically deteriorating systems. The motivation for this thesis is the problem of determining condition based maintenance policies, for systems whose degradation may be modelled by a continuous time stochastic process. Our emphasis is mainly on using the information gained from inspecting the degradation to determine efficient maintenance and inspection policies. The system we shall consider is one in which the degradation is modelled by a Levy process, and in which failure is defined to occur when the degradation reaches a critical level. It is assumed that the system may be inspected or repaired at any time, and that the costs of inspections and repairs may depend on the level of system degradation. Initially we look at determining optimal inspection policies for systems whose degradation may be directly and perfectly observed, before extending this analysis to the case where the degradation is unobservable, and a related covariate process is used to determine maintenance decisions. In both cases it is assumed the replacement policy is fixed and known in advance. Finally we consider the case of joint optimisation of maintenance and inspection, for cases in which the maintenance action has either deterministic or random effect on the degradation level. In all of these cases we use the properties of the Levy process degradation model to form a recursive relationship which allows us to determine integral and functional equations for the maintenance cost of the system. Solutions to these determine optimal periodic and non-periodic inspection and maintenance policies. Throughout the thesis we use the gamma process degradation model as an example. For this model we determine optimal perfect inspection policies for the cases when inspections are periodic and non-periodic. As a special case of a covariate process we consider the optimal imperfect periodic inspection policy. Finally we obtain jointly optimal deterministic-maintenance and periodic-inspection policies.
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Massey, Deborah Louise. "Responding to the Deteriorating Patient: A Case study." Thesis, Griffith University, 2013. http://hdl.handle.net/10072/366080.
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Rapid response systems (RRSs) have been developed and implemented with the aim of improving recognition of and response to deteriorating patients. However, there is little evidence to support the effectiveness of such systems. A recurring theme within the clinical literature is that these systems are not activated or used effectively by nursing staff and the reasons for this are not fully understood. The practices of nurses who used an RRS are explored in this thesis. Ward patients also appear to be more vulnerable to deterioration in the hosptial after-hours; in response to this, a number of patient safety initatives have been developed. One of these initiatives is an after-hours nurse-led RRS, a service run by Advanced Practice Nurses (APNs). To date, there has been limited exploration of the impact of this patient safety intiative on patient outcomes. Whether the introduction the APN after-hours service improved patient outcomes is also explored in this thesis.
To develop in-depth knowledge and understanding of this contemporary and complex area of clinical practice, a single exploratory case study with two separate units of analysis was used. The context of the case was a large teaching hospital in Queensland; the case was the deteriorating ward patient. The first unit of analysis was nurse’s practices of using an RRS. The second unit of analysis was patient outcomes. In the first unit of analysis, 15 registered nurses who had cared for a deteriorating ward patient were interviewed about their practices of using an RRS and the resulting transcripts were thematically analysed. Four themes relating to participants experiences and perceptions of RRSs emerged from the data. These themes were: (1) sensing clinical deterioration; (2) resisting and hesitating; (3) pushing the button; and (4) reflecting on the Medical Emergency Team (MET).Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Nursing and Midwifery
Griffith Health
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Ciszkiewicz, Tadeusz. "NDT-based service life prediction of deteriorating water mains." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0032/MQ30747.pdf.
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Zamanian, Soroush Zamanian. "Probabilistic Performance Assessment of Deteriorating Buried Concrete Sewer Pipes." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471731571.
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Lignos, Dimitrios. "Sidesway collapse of deteriorating structural systems under seismic excitations /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
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Smith, Sally Ann. "Decision-making in acute care nursing with deteriorating patients." Thesis, University of Brighton, 2013. https://research.brighton.ac.uk/en/studentTheses/0b2fc4c1-b4b5-42f6-8ee8-2d29343db3b8.
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Concerns have been well documented about deteriorating patients being missed and that care has not been of a sufficient standard to maintain their safety. This 'failure to rescue' remains despite changes in training and critical care experts working with ward staff. little is known about what influences decision-making at the point a patient deteriorates and prior to referring on to an expert. The aim of this study was to understand how nurses reach their clinical decisions while caring for a deteriorating patient and to identify the contextual factors that influence that decision-making process. Using grounded theory methodology the study comprised fieldwork, semi-structured interviews and a focus group; participants were 22 nurses and 2 physiotherapists working in general medical and surgical wards. A pragmatist philosophical tradition informing symbolic interaction guided the interpretive analytical framework of the study. The simultaneous collection, memoing, dimensional analysis of the data and constant comparison of the findings with the body of literature, built an emerging theory of clinical reasoning in acute care situations. Findings suggested that acute care nurses practice in one of 3 modes. They are: • 'Ward routine', where normal ward work takes place and nurses use protocols to deliver care. • 'Crescendo of care' where searching, information gathering, checking findings and efforts to gain control over the clinical situation took place. Nurses' reasoning in this mode was abductive and focused on building a believable case prior to referral. • 'Management of crisis' where the nurse was sure of their concerns, made the referral and continues to seek to confirm concerns. Through the three modes nurses reasoned and made sense of the clinical information they picked up. They spent lime marshalling this data until it served them a believable credible case with which to refer to another professional. This involved negotiating and bargaining to elicit action. The goals in these actions and interactions were to keep the patient and themselves safe. This was underpinned and motivated by their personal and professional beliefs. Throughout the whole decision-making process nurses accounted for every decision and judgement they made until they were convinced and confident in what they believed was happening. Then they made a referral to a more senior professional. This was conceptualised as the theory of mind accounting in clinical reasoning 'Which emerged as the explanation for how nurses clinically reason and make decisions when caring for a patient whose condition is declining. The emerging theory offers an alternative explanation of the way nurses assess and intervene when concerned about a patient. This is significant because timely accurate decision-making is fundamental to providing quality care.
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Rafiq, Muhammad Imran. "Health monitoring in proactive reliability management of deteriorating concrete bridges." Thesis, University of Surrey, 2005. http://epubs.surrey.ac.uk/935/.
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Koyanagi, Junji. "A Study on Optimal Maintenance Policies for Deteriorating Queueing Systems." 京都大学 (Kyoto University), 2001. http://hdl.handle.net/2433/151482.
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本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものであるKyoto University (京都大学)
0048
新制・論文博士
博士(情報学)
乙第10600号
論情博第12号
新制||情||6(附属図書館)
UT51-2001-A792
(主査)教授 茨木 俊秀, 教授 高橋 豊, 助教授 滝根 哲哉
学位規則第4条第2項該当
12
Spegal, Christopher S. "Unrelated Machine Scheduling with Deteriorating Jobs and Non-zero Ready Times." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou154672272196773.
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Ha, Cong Loc. "Time-dependent reliability analysis for deteriorating structures using imprecise probability theory." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17731.
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Reliability analysis, which takes into account uncertainties, is considered to be the best tool for modern structural evaluation. In this assessment, the deterioration model is one of the most important factors, but it is complicated for modelling due to the inherent uncertainties in the deterioration process. Theoretically, the uncertainties of the deterioration process can be modelled using a probabilistic approach. However, there are practical difficulties in identifying the probabilistic model for the deterioration process as the actual deterioration data are rather limited. Also, the dependencies between different uncertainties are often ignored. Thus the present study proposes a probabilistic analysis framework, using dependent p-boxes in which copulas describe the dependence, for modelling the deterioration process with incomplete information. There are two main parts of the framework. Firstly, the theory of statistical inference is developed for the quantification of uncertainties and their dependence structure. Secondly, simulation techniques in the structural reliability analysis are also developed. Two simulation approaches are integrated to propagate the dependent p-boxes for reliability analysis, including interval MC simulation and importance sampling. The accuracy and efficiency of the uncertainty framework are also verified through numerical examples. When the accuracy and efficiency of the framework are verified, the framework is then applied to the proposed deterioration models. Due to the different properties involved in the process, deterioration models for steel structures and reinforced concrete structures are considered separately. The finding suggests that significant epistemic uncertainties exist in the current deterioration models due to the limited availability of reliable corrosion data. In addition, new dependence structure of Frank copula is discovered in the deterioration models of steel and RC structures. In summary, the proposed framework in the study is recommended as a useful tool to model the uncertain corrosion process, accounting for both the aleatory and epistemic uncertainties. The inaccuracy of error measurements and insufficient data have been taken into account for modelling of uncertainty and dependence structure.
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Wang, Son-Hao, and 王聖豪. "An inventory model for deteriorating items under stock-dependentdemand and controllable deterioration rate." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/95775203784996247241.
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碩士樹德科技大學
經營管理研究所
99
In this paper, we formulate a deteriorating inventory model with stock dependent demand by allowing preservation technology cost as a decision variable in conjunction with replacement policy. The objective is to find the optimal replenishment and preservation technology investment strategies while maximizing the total profit per unit time. For any given preservation technology cost, we first prove that the optimal replenishment schedule not only exists but is unique. Next, we show that the total profit per unit time is a concave function of preservation technology cost when the replenishment schedule is given. We then provide a simple algorithm to find the optimal preservation technology cost and replenishment schedule for the proposed model.Finally, we use some numerical examples to illustrate the model.
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姚志宏. "Inventory models for deteriorating items with the time-varying deteriorating rate and backlgging." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/52484406764144837800.
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Cheng, Wen-Chieh, and 鄭文絜. "An inventory model for deteriorating items under stock-dependent demand and controllable deterioration rate." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/68297900657147275812.
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碩士樹德科技大學
經營管理研究所
100
In this paper, we formulate a deteriorating inventory model with stock-dependent de-mand by allowing preservation technology cost as a decision variable in conjunction with re-placement policy. Moreover, it is assumed that the shortages are allowed and partially back-logged, depending on the length of the waiting time for the next replenishment. The objective is to find the optimal replenishment and preservation technology investment strategies while maximizing the total profit per unit time. For any given preservation technology cost, we first prove that the optimal replenishment schedule not only exists but is unique. Next, we show that the total profit per unit time is a concave function of preservation technology cost when the replenishment schedule is given. We then provide a simple algorithm to find the optimal preservation technology cost and replenishment schedule for the proposed model. Finally, we use some numerical examples to illustrate the model.
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余欣蓓. "INventory models for deteriorating items with the general deteriorating function and permissible delay in payments." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/21800847839670767801.
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碩士南台科技大學
工業管理研究所
91
The inventory problem has become the liability to increase firm’s cost rather than the necessary assets in the manufacturing concepts of global competitive market and supply chain management, so an available inventory system fulfill is important in practice. In this research, we shall study the inventory model for the general deteriorating rate function with the time-value of money, permissible delays in payments, fixed demands and partial backorders in a finite horizon. For the model, we establish a new framework to present the cost function based on interest loss and return of inventory up to trade credits. Existences and uniqueness of the optimal replenishment policies via the implicit function theorem and Rolle’s theorem in analysis are obtained. Based on these results, we develop an efficient algorithm to find the optimal cost and the optimal replenishment policies of the model. Numerical examples are provided to illustrate our procedure. Furthermore, we provide a sensitivity analysis for the deteriorating inventory model in a finite horizon. Based on test problems, we find that the cost performance of the model is sensitive to the parametric choice under the fixed and the cycle lengths are monotone w.r.t. the deteriorating rate function being increasing. Keywords. Deteriorating inventory, finite horizon, delay in payments, partial backorder, time-value of money, sensitivity analysis.
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Lin, Yu-chen, and 林玉真. "The Inventory Problem for Non-instantaneous Deteriorating Itemswith Controllable Deteriorating Rate and Permissible Delay in Payment." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/15116943862907296336.
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碩士雲林科技大學
工業工程與管理研究所碩士班
97
In the present article, there are many of researchers discussed about the inventory model for deteriorating rate. However most researches rare consider the decay of the goods are controlled and goods would be kept for a period without deterioration, but a fixed duration later the goods is starting to deteriorate. In addition, it is a very common practice to allow customers some grace period before they settle the account with the supplier.Under the situation, we establish an inventory model for non-instantaneous deteriorating items with the controlled deteriorating rate and permissible delay in payment, and the inventory model in this study is divided into five cases by time of deterioration and delay in payment. In this study, we aim to find out the minimum relevant inventory cost per unit time. Research methodology of the model development is based on inventory theory, probability and statistic theory. Finally, numerical examples and sensitivity analyses are carried out to illustrate the application of the model, and to provide help for retailers to make appropriate decisions.
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Ping-LunHsieh and 謝秉倫. "Maintenance Planning Optimization for Deteriorating Bridges." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/60326410812250820931.
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碩士國立成功大學
土木工程學系碩博士班
98
As the budget of bridge maintenance is tend to be limited or not enough, it is necessary to work out the optimal bridge maintenance planning. Whereas the current bridge maintenance planning is usually forecasting the conditions of deterministic bridge components and cost within the life circle, which ignores the uncertainty of bridge deteriorating as well as any kind of maintenance. As a result, this model considered the deterioration rates of bridge components and the improvement of maintenance as the fuzzy uncertainty values, and at an appropriate time, allocating at the best budget, developing proper maintenance planning, making all possible functions into play and keep the normal function for driving comfort as well as safety. Aimed at minimize life cycle cost and maximize the values of components status, this research put forward the analysis model of optimal bridge maintenance planning. Considering the amount of unknown budget and bridge components can attain the set threshold value of bridge components, this model can assist bridge managers in studying out the maintenance planning about minimizing life cycle. Moreover, concerning to the known budge and the desire to make components status to achieve the highest goal, this model can also help bridge managers constitute the optical maintenance planning. Among the analysis results, there are three types of cases: good, fair and worse, providing the bridge managers with references about maintenance planning under various circumstances.
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Li, Ken-Yuan, and 李根源. "The deteriorating inventory model with carbonconstraint." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/29275484713027368341.
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碩士樹德科技大學
經營管理研究所
101
In this study we develop a deteriorating inventory model under Cap-and-Trade system. The generalized productivity of invested capital, deterioration and time-depend partial backlogging rates are used to model the inventory system. We begin by showing the existence and uniqueness of the optimal replenishment strategy under mild assumptions, and then investigate the impacts of preservation technology investment and carbon emission parameters on retailer’s inventory replenishment strategy. We further provide a simple iterative search to find the optimal inventory replenishment strategy and illustrate by a numerical example.
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Chen, Yu-Ren, and 陳郁仁. "A finite planning horizon inventory model for deteriorating items with time-varying demand and controllable deterioration rate." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/82348038478906660802.
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碩士樹德科技大學
經營管理研究所
99
In this study, we formulate a deteriorating inventory model with timing varying demand by allowing preservation technology cost as a decision variable in conjunction with replacement policy. The objective is to find the optimal replenishment and preservation technology investment strategies while minimizing the total cost over the planning horizon. For any given preservation technology cost, we first prove that the optimal replenishment schedule not only exists but is unique. A particle swarm optimization is coded and used to solve the mixed-integer nonlinear programming problem by employing the properties derived from this paper. Some numerical examples are used to illustrate the features of the proposed model.
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Hsu, Feng-Ming, and 許峯銘. "Modelling deteriorating items inventory model without derivatives." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/42772853785904075428.
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碩士中原大學
工業與系統工程研究所
97
In the past, most of deteriorating inventory problems was solved by the calculus method. Recently, non-calculus method (without derivatives) has become very popular. It enables one to study inventory management problem without understanding the complicated calculus. This study discusses how the non-calculus (or without derivatives) method applies to the deteriorating inventory problems. We start by simplifying deteriorating inventory model so the decay curves are approximately a straight line. Then, we derive the EOQ and EPQ model using non-calculus method. We limit the usage of this method to a case of single retailer or single manufacturer, with a low decay rate. A numerical example and sensitivity analysis using Maple 8 and Excel are carried out to show how relevant parameters affect inventory decisions in the model.
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Dye, Chung Yuan, and 戴忠淵. "The deteriorating inventory model which consider the." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/48736386874451979850.
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碩士淡江大學
管理科學研究所
85
Conceptually,traditional economic order quantity (EOQ)model on various applications is very convenient;but in the real world is not.As vaporous substances suck as coal oil and alcohol,the phenomenon of deterioration is occurred in many carrying processes of inventory.In this situation, inwentory level will be decreasing speedily.Again,the demands of market are not a constant.During the shortage period,the market doesn't allow full backlogging,and the consumers may buy this good from others.Thus, it causes opportunity cost.These chances of the costs will effect total cost directly. Due to the factors affected,the complications are added while we make an inventory strategy.The purpose of this paper focuses on how to balance order frequency and service level to minimize total cost. In this paper,we present a (T,Si) deteriorating inventory model that considers the relationship between the backorders and inventory level during the shortage period.Not only considering the exponential demand and the deteriorating items,but also considering the opportunity lost cost in the shortage period,and then we find a best order strategy to minimize the total cost.
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Yu, Chao-Pen, and 游兆鵬. "Deteriorating Inventory under Fluctuation in Sale Price." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/79523860309694304467.
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Ling-Liu, Chin, and 劉錦鈴. "The deteriorating inventory model with reference price." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/64368217148234023304.
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碩士樹德科技大學
經營管理研究所
103
In this paper, we propose a pricing decision for a deteriorating inventory system with time-and-price sensitive demand and reference price effects. A generalized model is presented to jointly determine the optimal selling price and replenishment strategies which maximize the retailer’s total profit. Starting with some mild assumptions, we derive some theoretical results to show the existence of the optimal solution for a single-period deteriorating inventory problem, and reveal the sensitivities of the optimal pricing decision to the model parameters. Finally, some numerical examples and sensitivity analysis are given to illustrate the features of the proposed model, which is followed by concluding remarks.
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Yeh, Chun-yi, and 葉駿逸. "Dynamic green supply chain for deteriorating goods." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/72094421274182140384.
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碩士國立屏東商業技術學院
企業電子化研究所
100
This paper deals with a strategic issue of green supply chains with remanufacturing by developing analytic models under cooperative and competitive settings. The research formulates the profit-maximization problem and provides the cross-enterprise dynamic joint decisions using calculus-based formulation coupled with dynamic programming for a single-retailer and single-supplier channel under cooperative and competitive game settings over a multi-period planning horizon. We examine the dynamic performance of vertically decentralized two-echelon channel coordination for deteriorating goods under a RMI system. We also used “revenue sharing” as the channel coordination mechanism on our research. Our analysis reveals that the strategic decision depends critically on the costs of remanufacturing and the competition intensity between the two versions.
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Yo-AnLin and 林祐安. "Maintenance Planning Concerning Non-linear Deteriorating Bridges." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/90148022517105176923.
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碩士國立成功大學
土木工程學系碩博士班
100
With the bridges into the era of aging, bridges maintenance gradually is attention both at home and abroad. Because it is difficult to have a criterion for bridge maintenance budget, there is often a considerable difference between budget and actual spending. Therefore, the purpose of this paper is to propose a predictable mode of bridge maintenance strategy in order to allocate budget funds properly at the appropriate time. In this mode the bridge managers can get the best maintenance strategy and it can play its proper functioning, so that to maintain the normal function of the bridge providing driving comfort and safety. This paper use the life-cycle cost analysis to analyze the maintenance costs of bridges. In order to facilitate the calculation , literature of the past took the deterioration rate of the bridge as a linear, but this paper describes the bridge deterioration rate in a nonlinear equation because it is more conform to the actual situation. This paper uses fuzzy theory to analyze the bridge deterioration rate and the uncertainty of bridge maintenance costs. The paper also applies both weight method and fuzzy theory to analyze the uncertainty of bridge deterioration rate. Finally, this paper use the minimum operation to help bridge managers to find the appropriate maintenance strategy. The results of this paper show that different membership levels of bridge deterioration rate will result in different maintenance costs, bridge condition indicators and user cost. And it can reach the results that bridge managers expect by adjusting the satisfaction. Therefore, the mode established by this paper, provide bridge managers having a maintenance strategy can be reference in the different considerations.
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Ramesh, Kumar 1982. "Stochastic Life-cycle Analysis of Deteriorating Infrastructure Systems and an Application to Reinforced Concrete Bridges." Thesis, 2012. http://hdl.handle.net/1969.1/148250.
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Infrastructure systems are critical to a country’s prosperity. It is extremely important to manage the infrastructure systems efficiently in order to avoid wastage and to maximize benefits. Deterioration of infrastructure systems is one of the primary issues in civil engineering today. This problem has been widely acknowledged by engineering community in numerous studies. We need to evolve efficient strategies to tackle the problem of infrastructure deterioration and to efficiently operate infrastructure.
In this research, we propose stochastic models to predict the process of deterioration in engineering systems and to perform life-cycle analysis (LCA) of deteriorating engineering systems. LCA has been recognized, over the years, as a highly informative tool for helping the decision making process in infrastructure management. In this research, we propose a stochastic model, SSA, to accurately predict the effect of deterioration processes in engineering systems. The SSA model addresses some of the important and ignored areas in the existing models such as the effect of deterioration on both capacity and demands of systems and accounting for different types of failures in assessing the life-span of a deteriorating system. Furthermore, this research proposes RTLCA, a renewal theory based LCA model, to predict the life-cycle performance of deteriorating systems taking into account not only the life-time reliability but also the costs associated with operating a system. In addition, this research investigates the effect of seismic degradation on the reliability of reinforced concrete (RC) bridges. For this purpose, we model the seismic degradation process in the RC bridge columns which are the primary lateral load resisting system in a bridge. Thereafter, the RTLCA model along with SSA model is used to study the life-cycle of an example RC bridge located in seismic regions accounting for seismic degradation. It is expected that the models proposed in this research will be helpful in better managing our infrastructure systems.
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Chou, Tsung-Han, and 周宗瀚. "Integrated Two-stage Inventory Model for Deteriorating Items." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/57268095996496182163.
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碩士中原大學
工業工程學系
88
In the current competitive market environment, the integration of companies especially in term of developing strategies is vital to reduce the overall cost of the enterprise. This is because decision made independently by one player with not result in global optimum. Global optimality will only be realized if the perspectives of all players are considered. The study also considers the case of limited capacity. Excess stock is held in a rented warehouse (which is more expensive) whenever the storage capacity of the company warehouse is insufficient. The objective of this study is to develop an optimal joint cost from the perspectives of both the manufacturer and the retailer, when the integrated two-stage inventory model for deteriorating items is assumed to have a constant demand rate and limited retailer storage capacity. A computer code is developed to derive the optimal solution. Numerical examples and sensitivity analyses are given to validate the results of the inventory model.
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鍾志方. "An Integrated Production Inventory Model for Deteriorating Items." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/67441533547250861428.
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碩士中原大學
工業工程學系
85
This study formulates an integrated production inventory model for deteriorating items. The optimal replenishment policy for each type of material is derived when the production policy is optimal as well. The replenishment lot-size of the material may either be a fraction or an integer multiple of its parent item's production lot-size. The study considers the deterioration of items. The concept and assumptions consider in this research are (1) Multi-lot-size replenishment of raw material using JIT philosophy. (2) Single lot-size raw material that satisfies multi-production cycle requirement of raw material replenishment policy. The objective of this study is to minimize the total cost. A heuristic approach using numerical search is used to derive the optimal solution and to find the total cost.
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Hsieh, Tsu-Pang, and 謝組邦. "OPTIMAL ORDERING POLICIES FOR DETERIORATING ITEMS WITH BACKORDERS." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/48603974435822320943.
Full textAbstract:
博士淡江大學
管理科學研究所博士班
95
The general assumptions in classical inventory models are that items can be stored indefinitely to meet future demand and the business owns a single warehouse without capacity limitation. In practice, it is well known that certain products such as medicine, volatile liquids, blood bank, food stuff and many others, decrease under deterioration (vaporization, damage, spoilage, dryness and so on) during their normal storage period. As a result, while determining the optimal inventory policy of that type of products, the loss due to deterioration can not be neglected. On the other hand, while a large stock is to be held, due to the limited capacity of the own warehouse, one extra warehouse may be required. In this thesis, three deterministic inventory models for deteriorating items have been formulated with backorders considerations. In Chapter 2, a deterministic inventory model for deteriorating items with price-dependent demand is developed. The demand and deterioration rates are continuous and differentiable functions of price and time, respectively. In particular, we allow for shortages and the unsatisfied demand is partially backlogged at a negative exponential rate with the waiting time. Following the assumptions about deterioration and demand rates, in Chapter 3, an infinite time horizon inventory model with time-value of money is discussed. In addition, we allow for shortages and completely backlogged. The objective is to find the optimal replenishment and pricing strategies maximizing the net present value of total profit over the infinite horizon. It is assumed that the capacity of the own warehouse is unlimited in Chapter 2 and Chapter 3. In Chapter 4, a deterministic inventory model is developed for deteriorating items with capacity constraint and time-proportional backlogging rate. A rented warehouse is used when the ordering quantity exceeds the limited capacity of the own warehouse. In all inventory models, the existence and uniqueness of the optimal solution are proved and numerical examples are provided to illustrate the proposed models. Finally, in Chapter 5, we provide some conclusions of this thesis and future research topics.
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DYE, CHUNG-YUAN, and 戴忠淵. "ON SOME DETERMINISTIC INVENTORY MODELS WITH DETERIORATING ITEMS." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/74783881834857563217.
Full textAbstract:
博士淡江大學
管理科學學系
88
The phenomenon that the deterioration of physical goods is very common in many inventory systems. It is well known that certain products such as medicine, volatile liquids, blood bank and food stuff, etc., decrease under deterioration (vaporization, damage, spoilage, etc.) during their normal storage period. As a result, while determining the optimal inventory policy of that type of products, the loss due to deterioration cannot be neglected. In this study, three deterministic inventory models for deteriorating items have been formulated. We first develop a finite time horizon EOQ model for deteriorating items with time varying demand and partial backlogging. In particular, the shortages are neither completely backlogged nor completely lost assuming the backlogging rate to be inversely proportional to the waiting time for the next replenishment. However, in economic order quantity models, it is often assumed that payment will be made to the vendor for the goods immediately after receiving the consignment. Such assumption is usually not fulfilled in many practical situations. In practice, it is observed that suppliers sometimes offer a fixed credit period to stimulate demand, boost market share or decrease inventories of certain items. Hence, a varying deterioration rate of time and the condition of permissible delay in payments used in conjunction with economic order quantity model are the focus of discussion. Finally, a deteriorating inventory model with a temporary sale price has been developed here. In purchasing and material management, it is important to determine whether or not to modify the ordering policy by stocking up with cheaper inventory when a temporary sale price occurs. Hence, we shall be concerned with finding the optimal total cost saving for deteriorating items during the special replenishment period in this chapter. Additionally, in all mathematics inventory models, numerical examples are provided to illustrate the proposed models.
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Fang, Huan-yi, and 方歡毅. "A Study on Deteriorating Group Jobs Scheduling Problem." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/08104765528532318350.
Full textAbstract:
碩士國立臺灣科技大學
資訊管理系
101
Deteriorating jobs scheduling has received great attention in the past two decades. In many realistic situations, a job processed later needs more time for processing than the same job when it is processed earlier; this phenomenon is known as deteriorating jobs. We consider the case of deteriorating jobs whose processing times are a simple linear increasing function of their starting time. On the other hand, the production efficiency can be increased by grouping jobs with similar processing requirements. This phenomenon is known as the group technology(GT) in the literature. However, there exist only a few result considering scheduling problems with deteriorating jobs and group technology simultaneously. In this paper, we consider two group scheduling problems of minimizing the makespan with deteriorating jobs. One is a group scheduling problem with deteriorating jobs under GT assumption, and the other is a problem with the same model without GT assumption. We provide a polynomial-time algorithm and a branch-and-bound algorithm to solve the problems respectively.
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He, Chia-Chi, and 何嘉綺. "Single-machine scheduling problem with stepwise deteriorating jobs." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/70055140730758225200.
Full textAbstract:
碩士逢甲大學
統計與精算所
95
In many real situations, it is found that if certain maintenance procedures fail to be completed prior to a pre-specified deteriorating date, then the jobs will require extra time for successful completion. In this thesis, a single-machine total completion time problem with stepwise deteriorating jobs is considered. A branch-and-bound method incorporated with several dominance properties and a lower bound was developed to derive the optimal solution for this problem. In addition, a weight-combination search algorithm is proposed to search for the near-optimal solution. Computational results indicate that the branch-and-bound algorithm can solve most of the problems for up to 24 jobs in a reasonable amount of time. Moreover, the proposed heuristic algorithm is accurate with mean error percentages of less than 0.3%.
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Tseng, Cheng Chang, and 曾震昌. "A single period deteriorating inventory with partial backorder." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/96653708463541004296.
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Jeng, Andy An Kai, and 鄭安凱. "Single-machine Scheduling with Step-deteriorating Processing Times." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/64770633206108402984.
Full textAbstract:
碩士國立暨南國際大學
資訊管理學系
91
In this thesis, we study two single-machine scheduling problems. The processing time of a job is a non-linear step function of its starting time and due date. In the first problem, different due dates are assigned to the jobs and our goal is to minimize the makespan. In the second problem, a due date is common to all jobs and the objective is to minimize the total completion time. These two problems are already known to be NP-hard in the literature. In this thesis, we first show that the makespan problem is actually NP-hard in the ordinary sense by proposing a pseudo-polynomial time dynamic programming algorithm. Besides, to derive optimal solutions from a practical perspective, we develop several properties, including lower bounds, dominance rules and elimination rules, to facilitate the design of branch-and-bound algorithms. Through computational experiments, we show that the proposed properties are effective in curtailing unnecessary exploration during the solution finding process and that the synergy of these properties can solve problems with up to one hundred jobs in a few seconds.
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陳弘凱. "Optimal Sequential Lot Sizes for Deteriorating Production Systems." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/97508244222862461131.
Full textAbstract:
碩士國立臺灣科技大學
工業管理系
89
The two-state (in-control and out-of-control) Markov process is usually employed to describe the deteriorating process of a production system. By assuming the transition probability is known and fixed, a production cost model is then established and an optimal production lot size can be obtained based on the model. However, in practice, the transition probability is usually unknown and need to be estimated. And, this estimation plays an important role in deciding the production lot sizes. Therefore, a sequential estimating procedure is developed in this thesis to derive the optimal lot size when the transition probability is unknown. We first use the past production information to estimate the transition probability by Maximum Likelihood Estimation (MLE) process. Then, the optimal lot size for next run is derived based on the estimate. For those systems without past information, a Bayesian estimation procedure is developed to incorporate the experience, expert opinions, or subjective probabilities. Furthermore, a simulation study is given to illustrate the sequential procedure. Finally, a sensitivity analysis is carried out to investigate the effects of the estimation on the optimal lot sizes.
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YEN, YU-MIN, and 閻佑民. "A Study of Inventory Models for Deteriorating Items." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/34985477315986885299.
Full textAbstract:
碩士國防管理學院
資源管理研究所
87
ABSTRACT In Inventory researching field, different situations there are different inventory models. The enterprises inventory managers have to face one of the most important problems is how to control and manage products with limited life, or we can also called deteriorating products. Even include the out-0f-date products. In this research we provide two kinds of inventory models for these limited life products. The first is over an infinite plann- ing horizon for a deteriorating item taking account of time value of money. How to decide the appropriate order quantity and order period that keeps the total cost lowest? The second is for those sho rter life cycle products, when their life is almost exhausted but the newest products are provided in the markets already. Therefore we have to reduce the price for promoting these older products in order to keep the cost loss minimum. How to decide the appropriate order quantity and the promotion period that keeps the total cost loss lowest? Numerical examples are included to illustrate the model and solution procedure in this composition. Keywords: Inventory; Deterioration; Discounted Cash Flow; Promote Ⅱ
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Sui-Fu, Tsai, and 蔡穗馥. "Study of Continuous Inventory Models for Deteriorating Items." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/57164439702182037913.
Full textAbstract:
博士國立臺灣科技大學
管理技術研究所
86
A convenient way of determining optimal order quantity is the popular"basic EOQ model". To be able to use the basic EOQ model, several conditionsshould be satisfied. Numerous research efforts have been undertaken to extendthe EOQ model to conform more closely with real world situations.Among them is to determine the optimal inventory replenishment policyfor deteriorating items, allowing shortages, and the demand rate isdeterministic and time-varying. This study will be proposed thedeteriorating inventory model with the continuous time-varying demandand shortages during the finite planning horizon, and determine the optimalorder intervals and the optimal number of replenishments. Moreover,we consider the effects of price policy and time value of money onthe inventory model. Numerical examples are given to explain the solutionalgorithms. Sensitivity analysis is performed to study the effects ofchanges in the system parameters on the optimal cost (net profit),the number of replenishments, and the order intervals.
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Lyu, Yue-cong, and 呂岳璁. "Seismic Reliability Analysis for Deteriorating Reinforced Concrete Bridges." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/78282662696335376382.
Full textAbstract:
碩士國立臺灣科技大學
營建工程系
101
This study is doing the research about far-field earthquake which may cause harm to Taipei Basin. In order to prevent a disaster before the event, The far-field earthquake can divided into two types: Characteristic Earthquake and Regional Earthquake. The former use information in Hsincheng Fault, Tuntzuchiao Fault and Milun Fault, the latter in Hualien and Ilan. This study uses probability Model to reckon the frequency,Occurrence Probability and average size of the earthquake in fifty years and a hundred years in the future. The Regional Earthquake adopt Poisson Distribution and the Characteristic Earthquake adopt Log-Normal Distribution. The Microzonation of Taipei Basin Select TAP013,TAP022 and TAP088. The research puts different kind of RC bridge model in each Microzonation section, analyzing the frequency of earthquake,and the degree of damage under the circumstance of unrepaired the bridge by adding each Hysteresis Loop's Energy and modifying the Performance of the structure. The analyze methods are as follows:(1) Ground-Motion Time Histories Compatible and (2) Equivalent Single-degree-of-freedom By entering the parameter into the Takeda Model to do NonlinearDynamic Structural Analysis, Results are substituted into (Park and Ang, 1985) formula,to get the RC bridge damage index. This study use Monte Carlo to Simulate the Seismic Sequences for a thousand times to analyze the damage exceedance probability in fifty years and a hundredyears in the future. In addition, to the chloride deterioration in Ilan Suao(ILA007), three RC bridge models in different distance from the sea(0.1 km,0.3km,1.0km and 3km), taking deterioration and seismic damage into consideration to know the influence to the seismic performance.
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Yu, Chih-Chieh, and 游智杰. "A Vendor-Buyer Inventory Model for Deteriorating Items." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/qx6ye5.
Full textAbstract:
碩士國立東華大學
運籌管理研究所
107
The control and maintenance of goods inventories is a common problem to all enterprises in any sectors. When to replenish the inventory and how much to order for replenishment are fundamental questions in controlling inventory. Previous studies did not take account of the deterioration property of the inventory. Actually, most of goods in reality are deteriorating in every moment, such as low-temperature food, electronic components, radioactive substances, volatile chemicals, etc. In order to make it easier for customer to choose the goods. The store is usually located closer to customers. And, its size and scale are usually small. So, the deterioration rate of goods is high. Therefore, the store prefers to keep lower inventory level. However, the size and scale of the supplier are usually large. So, the deterioration rate of goods is low. Therefore, the supplier prefers to keep multiple batches of goods and deliver to the store batch by batch. Supply chain management has become the most important issue in the high competitive business environment. It emphasizes on the mutual collaboration between different members to achieve overall maximum profit or minimum cost of the channel. Therefore, a superior collaborative system between upstream and downstream can access a better supply chain management. Based on the above, single deteriorating items, single buyer, and single vendor are considered in this study. The buyer plays a role as a leader and the vendor is follower. In this situation, the buyer makes an optimal decision based on the demand first. Then, the vendor makes an optimal decision based on the order from the buyer. The inventory model and cost function of buyer and vendor are based on considering ordering cost, holding cost, and deterioration cost. Then, this study compare the total cost of two different way, integrated and non-integrated. Finally, sensitivity analysis is given to predict the outcome of a decision given a certain range of variables.
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Liao, Yi-Xiang, and 廖益祥. "Optimal inventory policy of deteriorating products for intermediary firms." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/84745984373457634981.
Full textAbstract:
碩士國立臺灣科技大學
資訊管理系
93
In a supply chain logistics system, the function of an intermediary firm is to purchase products and to sell those purchased products to the public or to other firms. In this paper, we incorporate the deteriorating nature of the product into two deterministic inventory models using two different optimization criterions to mathematically formulate the proposed problem for the intermediary firm. From the mathematical formulation, we first show that there exists a unique optimal cycle length for each model such that the optimization criterion for each model is maximized. Then, we derive an approximate solution and a lower / upper bound for the optimal cycle length. Based on these results, an efficient algorithm is provided to search for the optimal cycle length for each model. Finally, a numerical example in each model is presented to illustrate the features of the proposed problem.
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Kuo, Chun-Yi, and 郭群宜. "Inventory Models for Deteriorating Items with Alternative Performance Measurements." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/71126451229567316179.
Full textAbstract:
碩士淡江大學
會計學系
89
The objective of the study is to construct and analyze inventory models for deteriorating items under cost minimization, profit maximization, and ROII (return on inventory investment) maximization. The traditional economic order quantity (EOQ) model has been continuously modified to accommodate more realistic features. In recent years, the inventory models with deterioration items have drawn attention from various researchers. However, the performance measure of most previous works is that of cost minimization. In this paper, we construct the inventory models with deteriorating items under different objective functions, such as profit maximization and ROII maximization. First, the study develops three inventory models for deteriorating items with alternative performance measurements, assuming that the demand rate is constant and inventory of items deteriorate at a constant rate. Then, the assumption that the demand rate is constant is relaxed and the article takes products pricing decisions into consideration so that inventory models can make jointly optimal pricing and replenishment decisions. Moreover, because every product manufactured or sold has a finite product life, we develop inventory models for deteriorating items with alternative performance measurements over a finite planning horizon. Also, numerical examples and sensitivity analysis are presented to illustrate the proposed models.
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Yeh, Wan-Hsuan, and 葉菀暄. "Deteriorating items inventory and distribution systems under emergency situation." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/az8j8d.
Full textAbstract:
碩士中原大學
工業與系統工程研究所
99
The natural disasters such as earthquakes, typhoons, hurricanes, famine, droughts, and infectious disease, etc., often cause people great loss of life and property. When disaster occurs, whether naturally or artificially, it can influence safety and development of economic. It’s the importance to rescue victims urgently and timely. If disaster relief units rescue in a limited time to integrate the demanded goods from victims and effectively deliver to stricken region, it can avoid the emergent supply shortages and the imbalanced demand. Large-scale disaster relief is a complex and difficult issues. The most important goal is to distribute supplies proportionally to the imperative areas in a restricted time; while other factors should be considered. When the disaster happens usually the stricken zones will be lack of adequate transport to deliver materials, plenty of foods, medicines may be corrupt and crushed; therefore, distribution factor would be added in this model. In this study, the emergency system is to explore how to distribute and collect materials. After disaster occurs, the disaster area releases the demand signal; however, there is uncertain demand. Disaster relief units centralize the material according to the different signals to supply to the disaster areas, considering the distribute factor to minimize the total cost goals. This emergency inventory model will to provide any emergency unit to manage a disaster situation as reference.
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Chen, Yi-Hen, and 陳怡涵. "Solving deteriorating ion implant scheduling problem in wafer fabrication." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/vgg8d8.
Full textAbstract:
碩士輔仁大學
企業管理學系管理學碩士班
100
In recent years, semiconductor industry in Taiwan faces great impact from the world economical upheaval and fierce competitions from emerging countries in semiconductor industry, such as China and South Korea. It is essential for businesses in semiconductor industry to rethink and develop new strategies in this difficult time. Furthermore, low cost strategy has always been an important part of corporate strategy of semiconductor manufacturing companies, while manufacturing cost account for a major portion in the cost structure. The production scheduling problems of unrelated parallel machine, and use the data of the semiconductor company, this research investigates the effect of deteriorating gas tanks pressure in the ion implant process, which the deteriorating part leads to prolonged makespan. First come first service, genetic algorithms, ant colony algorithm and ACO-GA algorithm is the way to minimize the maximum completion time test, we prove that dynamic flexibility algorithm can both effectively and efficiently solve the problem. The result will make use for future researches and business practices. This research proposes a ACO-GA algorithm that can solve the practical scheduling problem of ion implant process for minimizing the maximum completion time in the semiconductor companies. According to the experimental results, the ability and quality of ACO-GA algorithm is better than those of the traditional algorithm like first come first service, ant colony algorithm and genetic algorithms, and is more effective. Last of all, compared to first come first service proposed by the case company, the traditional ant colony algorithm, genetic algorithms, and proposed ACO-GA algorithm reach the average improvement rate 15.18% and 7.90% and 4.21% respectively. As a result, we can know the excellent problem solving ability and high quality of ACO-GA algorithm that supersedes the mentioned traditional ones.
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Tseng, Wei-Chung, and 曾韋中. "Deteriorating Inventory Model for Ready-to-eat (RTE) Food." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/bmfs6r.
Full textAbstract:
碩士國立臺灣海洋大學
運輸科學系
102
In recent years, the highly competition environment has forced the manager or decision-makers to pay much attention to the supply chain management, and more researches have mentioned it than before. In the supply chain management, inventory practices are always popular; an appropriate inventory policy can not only satisfy customer’s demand but also save the unnecessary cost. With many aspects that can affect the inventory policy, the product perishability is a critical aspect of inventory policy. Most goods will deteriorate during the storage period, and the goods will decrease or lose their original value, so the deterioration should be taken into account in inventory practices. We also know ready-to-eat (RTE) food products are highly common consumer goods that have perishable property in real life, if RTE food has worsen in quality over time, and it will decrease customer’s purchase intention. Hence, remaining value of RTE food has much to do with its quality. From the vendor point of view, how to quantize quality and remaining value should be a critical issue in business. Consequently, we would like to combine the traditional deteriorating model and predict quality model to develop a new deteriorating inventory model for RTE food products, this new model shows food quality and remaining value in quantification. We also advanced this new model by fuzzifying storage temperature to simulate temperature fluctuation. Our proposed model uses the real data of deterioration rate, and we regard deterioration rate as temperature-dependent. A numerical example also provided to illustrate the solutions; we may discover that higher storage temperature cause lower profit and force the order cycle shorter.
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Lee, Huitsung, and 李惠宗. "Two-stage multiprocessor flow shop scheduling with deteriorating maintenance." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/15248990339607542035.
Full textAbstract:
碩士輔仁大學
企業管理學系管理學碩士班
99
Scheduling is one of essential dimensions of production management. In order to increase capacity and reduce processing time effectively, flow shop with multiprocessors, FSMP, is often applied to practice industry, such as glass making, iron and steel industry, even in semiconductor manufacturing process. FSMP with deterioration is a common mode of production, machine will constantly reduce its efficiency, and processing time of tasks will increase. In order to restore efficiency of machines, we have to consider requirement of maintenance. Particle swarm optimization (PSO) is proved to be an effective and efficient tool in other engineering fields. Compared to other algorithm, PSO is rarely applied in scheduling. We present a proposed PSO algorithm, extended from discrete PSO, applying in a two-stage multiprocessor flow shop scheduling with deteriorating maintenance, and compare the results of computational experiments with PSO and ACO. Experiments confirmed that the cluster particle swarm optimization has better efficiency.
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Kuo-Hwa, Chuo, and 卓國華. "Master Production Scheduling of Deteriorating Items Under Different Environments." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/58283965035525414316.
Full textAbstract:
碩士中原大學
工業工程研究所
86
The purpose of this study is to develop lot sizing replenishment rule using modified LFL, EOQ, EOQ2, POQ, LUC, LTC, SM, MCA, PPA, IPPA and WW policies for single-level discrete demand. The model developed consider the deteriorating effect of items. The study consider eleven lot sizing methods which are simulated infour different environments. The static MPS uses measurement of cost error to show the efficiency of execution. The impact of each lot sizingmethod for various demand trends, deteriorating rate, setup cost and purchase cost are analyzed. The rolling MPS under known demand considers the over all cost and instability factor. The impact of every lot sizing method for different planning horizons, natural cycle, re-planning interval and various demand trends are analyzed. The same analysis is done the freezing method. The impact of each lot sizing method is analyzed. The rolling MPS under uncertain demand extends the known demand and considershortages. The impact of each lot sizing method for forecast error is analyzed. This study shows that in every simulation environment, WW has the lowesttotal cost, but the stability is not high. LFL has the highest stability butthe total cost is the highest. SM and MCA which have low total cost and reasonable stability are good lot sizing method in every simulation environment. It is found that the freezing method using order-based is betterthan the period-based.
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Tsai, Hsin-Nan, and 蔡欣男. "Optimal Replacement Model for a Deteriorating System with Inspections." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/73296044695439803186.
Full textAbstract:
博士國立臺灣科技大學
工業管理系
102
To gain and remain competitive advantage, manufactures require a cost-effective system for maintaining its production machinery in peak operation condition. Repairs and replacements enable us to reduce the operating cost and prevent the occurrence of system failure. In this research we propose two kinds of the replacement models for a deteriorating system with inspections and then find the optimal policy for these two models. First, a deteriorating system with failures that could only be detected through inspection workfor each of the two replacement models.The system is assumed to have two types of failures including type I failure and failure II failure. Each type I failure, corrected by a minimal. We replace the system when a type II failure occurs.In first replacement model, the system is replaced at the Nth type I failure (minor failure) or first type II failure (catastrophic failure), depending on whichever occurs first. The probability of type I and II failure depends on the number of failures since the last replacement. Such systems can be repaired upon type I failure, but are stochastically deteriorating, that is, the lengths of the operating intervals are stochastically decreasing, whereas the durations of the repairs are stochastically increasing.In the second replacement model, we extend the first one replacement model and add another one replacement condition for the system’s working age. Hence the deteriorating is replaced at the occurrence of the Nth type I failure (minor failure), or the first type II failure (catastrophic failure), or at working age T, whichever occurs first. For each of the above two models, the unique optimal solution which minimizes the long-run expected cost per unit of time is determined respectively. This research can be a reference for setting maintenance and replacement policies to analogousdeteriorating systems and product.
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Chang, Chia-Wen, and 張家雯. "Unrelated parallel-machine scheduling with deteriorating jobs and rejection." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/92804513623199071204.
Full textAbstract:
碩士南開科技大學
車輛與機電產業研究所
102
This paper aimed to investigate the unrelated parallel-machine scheduling with deteriorating jobs and rejection. The objective is to find the rejected jobs, the non-rejected jobs, and the optimal non-rejected job sequence so that the cost function that includes the weighted of total load, total completion time, and total absolute deviation of completion time plus the total penalty of the rejected jobs would be minimized. Results showed that the problem is polynomial time solvable when the number of machine is fixed.