Pub Date : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.7
D. Podkopaev
Many decision making problems of business and management are formulated in terms of Multiple Attribute Decision Making (MADM): given a set of alternatives evaluated with multiple criteria, find the alternative which according to the Decision Maker (DM), has the most preferred combination of criteria values (attributes), or rank alternatives from the most preferred one to the least preferred one. The MADM methods incorporate mechanisms of building preference models based on information obtained from the DM. In a wide variety of such methods, the DM is supposed to provide information in terms of weights of criteria, usually understood as criteria’s priorities. These weights serve as parameters of the method- specific preference models. The DM can define weights directly, or by using special weight elicitation techniques such as AHP, MAVT and others. Our concerns are that when using weight-based methods, the DM cannot ensure the correctness of the preference model. First, different weight-based methods use different kinds of preference models, which prioritize criteria based on weights in different manners. Second, interpretation of weights in some MADM methods is far from intuitive. Thus, a situation may occur when an inexperienced DM thinks of weights differently than they actually work in the method, and expresses the preference information incorrectly. In this paper we demonstrate the differences between how weights are interpreted in several methods: simple additive weighting, TOPSIS, VIKOR and PROMETHEE. We do it by comparing rankings produced with methods based on randomly generated data. We demonstrate that differences of interpreting weights significantly contribute to differences in produced rankings. A solution to this problem could be twofold: first, increasing awareness of differences between method-specific weight-based prioritizing mechanisms, and second, providing interpretations of weights for popular methods in the language understandable by the DMs.
{"title":"Interpreting Weights in Multiple Criteria Decision Making","authors":"D. Podkopaev","doi":"10.6186/IJIMS.2016.27.2.7","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.7","url":null,"abstract":"Many decision making problems of business and management are formulated in terms of Multiple Attribute Decision Making (MADM): given a set of alternatives evaluated with multiple criteria, find the alternative which according to the Decision Maker (DM), has the most preferred combination of criteria values (attributes), or rank alternatives from the most preferred one to the least preferred one. The MADM methods incorporate mechanisms of building preference models based on information obtained from the DM. In a wide variety of such methods, the DM is supposed to provide information in terms of weights of criteria, usually understood as criteria’s priorities. These weights serve as parameters of the method- specific preference models. The DM can define weights directly, or by using special weight elicitation techniques such as AHP, MAVT and others. Our concerns are that when using weight-based methods, the DM cannot ensure the correctness of the preference model. First, different weight-based methods use different kinds of preference models, which prioritize criteria based on weights in different manners. Second, interpretation of weights in some MADM methods is far from intuitive. Thus, a situation may occur when an inexperienced DM thinks of weights differently than they actually work in the method, and expresses the preference information incorrectly. In this paper we demonstrate the differences between how weights are interpreted in several methods: simple additive weighting, TOPSIS, VIKOR and PROMETHEE. We do it by comparing rankings produced with methods based on randomly generated data. We demonstrate that differences of interpreting weights significantly contribute to differences in produced rankings. A solution to this problem could be twofold: first, increasing awareness of differences between method-specific weight-based prioritizing mechanisms, and second, providing interpretations of weights for popular methods in the language understandable by the DMs.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"37 1","pages":"191-202"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88367977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.6186/IJIMS.2016.27.1.4
Shu-Cheng Lin, Chu Hopscotch
Most researchers developed bus service models with a rectangular service zone that relations among different costs are related by a linear relation. A bus service model had been constructed with a rectangular service zone where costs are synthesized by an exponential relation. An accepted paper had point out that a previous model without capacity constraint is unreasonable. This paper examines another model with capacity constraint to show that previous formulated optimal solution contains questionable findings and then we provide our solution approach. The key feature of our paper is to point out that using the route width as a continuous variable will derive unreasonable results. Our improved approach is to use the partition number for the zone width as a discrete variable. A numerical example is provided to illustrate our proposed approach.
{"title":"Bus Service Model with Rectangular Service Zone under Exponential Relation","authors":"Shu-Cheng Lin, Chu Hopscotch","doi":"10.6186/IJIMS.2016.27.1.4","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.1.4","url":null,"abstract":"Most researchers developed bus service models with a rectangular service zone that relations among different costs are related by a linear relation. A bus service model had been constructed with a rectangular service zone where costs are synthesized by an exponential relation. An accepted paper had point out that a previous model without capacity constraint is unreasonable. This paper examines another model with capacity constraint to show that previous formulated optimal solution contains questionable findings and then we provide our solution approach. The key feature of our paper is to point out that using the route width as a continuous variable will derive unreasonable results. Our improved approach is to use the partition number for the zone width as a discrete variable. A numerical example is provided to illustrate our proposed approach.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"11 1","pages":"61-72"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82974451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.6186/IJIMS.2016.27.1.3
Ruey-Chyn Tsaur, I-Fei Chen, Yin Chen
The iPhone introduced an innovative multi-touch interface to satisfy customers’ attractive requirements. Thereafter, most smartphone manufacturers begin to mimic this innovation in their new generation products for a dramatically increasing demand market. Although the smartphone market includes many types and functions of products, there are no smart- phone selection methods to support customers to select an effective smartphone. In order to cope with such a problem, this paper proposes a multi-criteria selection method to evaluate operating systems and hardware and software specifications using AHP and SMART-ROC, respectively. For illustration, this paper uses the proposed methods to analyze the customer utility and benefit-cost of 24 popular smartphones in the market. The results show that the most popular smartphone does not have the best cost-benefit. This paper suggests customers select smartphones by referring to the cost-benefit approach except when they are looking for a communications product for a special purpose.
{"title":"Smartphone Market Analysis Using Dynamic Multi-Criteria Decision Methods","authors":"Ruey-Chyn Tsaur, I-Fei Chen, Yin Chen","doi":"10.6186/IJIMS.2016.27.1.3","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.1.3","url":null,"abstract":"The iPhone introduced an innovative multi-touch interface to satisfy customers’ attractive requirements. Thereafter, most smartphone manufacturers begin to mimic this innovation in their new generation products for a dramatically increasing demand market. Although the smartphone market includes many types and functions of products, there are no smart- phone selection methods to support customers to select an effective smartphone. In order to cope with such a problem, this paper proposes a multi-criteria selection method to evaluate operating systems and hardware and software specifications using AHP and SMART-ROC, respectively. For illustration, this paper uses the proposed methods to analyze the customer utility and benefit-cost of 24 popular smartphones in the market. The results show that the most popular smartphone does not have the best cost-benefit. This paper suggests customers select smartphones by referring to the cost-benefit approach except when they are looking for a communications product for a special purpose.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"48 1","pages":"41-60"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90731303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.6186/IJIMS.2016.27.1.1
M. Liao, Chien-Wei Wu
Batch manufacturing processes have been widely used in various manufacturing processes, such as wafer fabrication, IC fabrication, and gridline printing process in the solar battery fabrication. In a batch manufacturing process, products are produced batch-by-batch. Thus, total process variations are generally divided into batch-by-batch variation and within-batch variation. The main purpose of this study is to provide an efficient method for testing the batch-processing process yield. Base on the one-way random effect model, the generalized pivotal quantity is utilized to establish the generalized confidence interval for assessing the process yield index. By simulations, the proposed method shows that its empirical coverage probability is not affected by the batch effect, and is still close the nominal coverage probability as the batch size increases.
{"title":"Efficient Method for Testing the Batch-Processing Process Yield","authors":"M. Liao, Chien-Wei Wu","doi":"10.6186/IJIMS.2016.27.1.1","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.1.1","url":null,"abstract":"Batch manufacturing processes have been widely used in various manufacturing processes, such as wafer fabrication, IC fabrication, and gridline printing process in the solar battery fabrication. In a batch manufacturing process, products are produced batch-by-batch. Thus, total process variations are generally divided into batch-by-batch variation and within-batch variation. The main purpose of this study is to provide an efficient method for testing the batch-processing process yield. Base on the one-way random effect model, the generalized pivotal quantity is utilized to establish the generalized confidence interval for assessing the process yield index. By simulations, the proposed method shows that its empirical coverage probability is not affected by the batch effect, and is still close the nominal coverage probability as the batch size increases.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"35 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87153599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.6186/IJIMS.2016.27.1.5
A. Santhakumaran, C. Abirami
Sensory evaluation is an essential need for accepting processed food products having desired quality specifications. Human perceived sensation depends on physiological and physical properties of food as well as demographic characters of consumers. In this paper, a mathematical computation method of fuzzy statistics for sensory evaluation is proposed. It illustrates the quality of sensory variables such as color, texture, flavor, taste etc. of a product with consumers’ demographic characters on a hedonic scale.
{"title":"Mathematical Computation of Fuzzy Statistics for Sensory Evaluation","authors":"A. Santhakumaran, C. Abirami","doi":"10.6186/IJIMS.2016.27.1.5","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.1.5","url":null,"abstract":"Sensory evaluation is an essential need for accepting processed food products having desired quality specifications. Human perceived sensation depends on physiological and physical properties of food as well as demographic characters of consumers. In this paper, a mathematical computation method of fuzzy statistics for sensory evaluation is proposed. It illustrates the quality of sensory variables such as color, texture, flavor, taste etc. of a product with consumers’ demographic characters on a hedonic scale.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"15 1","pages":"73-85"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79712809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.6186/IJIMS.2016.27.1.2
Wen-Yau Liang, Chun-Che Huang, Yueqi Pan
Knowledge sharing is critical to knowledge management as it enables employees to share their knowledge. However, knowledge searching is a very time-consuming work. Additionally, in the context of an unsolved puzzle or unknown task, users typically have to determine the knowledge for which they will search. Therefore, knowledge management platforms for enterprises should have knowledge recommendation functionality. Hybrid recommendation systems (RS) have been developed to overcome, or at least to mitigate, the limitations of collaborative filtering. Because Genetic Algorithm (GA) is good at searching, it can cluster data according to similarities. However, the increase in the amount of data and information reduces the performance of a GA, thereby increasing cost of finding a solution. This work applies a novel method for incorporating a GA and rough set theory into clustering. In this paper, this work presents a hybrid knowledge recommendation model, which has a two-phase model for clustering and recommending. Approach implementation is demonstrated, as are its effectiveness and efficiency.
{"title":"A Hybrid Approach for Knowledge Recommendation","authors":"Wen-Yau Liang, Chun-Che Huang, Yueqi Pan","doi":"10.6186/IJIMS.2016.27.1.2","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.1.2","url":null,"abstract":"Knowledge sharing is critical to knowledge management as it enables employees to share their knowledge. However, knowledge searching is a very time-consuming work. Additionally, in the context of an unsolved puzzle or unknown task, users typically have to determine the knowledge for which they will search. Therefore, knowledge management platforms for enterprises should have knowledge recommendation functionality. Hybrid recommendation systems (RS) have been developed to overcome, or at least to mitigate, the limitations of collaborative filtering. Because Genetic Algorithm (GA) is good at searching, it can cluster data according to similarities. However, the increase in the amount of data and information reduces the performance of a GA, thereby increasing cost of finding a solution. This work applies a novel method for incorporating a GA and rough set theory into clustering. In this paper, this work presents a hybrid knowledge recommendation model, which has a two-phase model for clustering and recommending. Approach implementation is demonstrated, as are its effectiveness and efficiency.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"91 1","pages":"17-39"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73703509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-01DOI: 10.6186/IJIMS.2016.27.4.4
Yen‐Hsien Lee, Mingchih Lee, Lin-Hua Peng, mei jean Lee
This study mainly discusses the impact of the corporate performance and default risk on corporate social responsibility in China from December 2008 to August 2014. The results showed that the return on equity and return on asset have positively significant influences on corporate social responsibility which is four composing indicators. Moreover, the corporate performance and default risk are positive effect on the corporate social responsibility when the company is central enterprise.
{"title":"Do the Corporate Performance and Default Risk Impact on Corporate Social Responsibility in China","authors":"Yen‐Hsien Lee, Mingchih Lee, Lin-Hua Peng, mei jean Lee","doi":"10.6186/IJIMS.2016.27.4.4","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.4.4","url":null,"abstract":"This study mainly discusses the impact of the corporate performance and default risk on corporate social responsibility in China from December 2008 to August 2014. The results showed that the return on equity and return on asset have positively significant influences on corporate social responsibility which is four composing indicators. Moreover, the corporate performance and default risk are positive effect on the corporate social responsibility when the company is central enterprise.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"200 1","pages":"363-378"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74420536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-01DOI: 10.6186/IJIMS.2016.27.3.5
hsien-bin Wang, Miao-Sheng Chen, M. Li
The optimal model was mainly constructed for the products, such as real estates, amusement park, or major furniture which themselves cannot be moved or worn to reveal to other consumers in public, to explain their optimal promotional pricing strategy. The study adopted the dual sources of the diffusion power, the number of walk-in potential consumers and the price level of the product, in the extended Bass Diffusion Model. Given periods of [0 , T ) and [ T, ¯ T ), T < ¯ T , and ¯ T maybe ∞ when a firm attempts to decide price P 0 within [0 , T ) and price P T within [ T, ¯ T ), respectively, to achieve the goal of maximizing discounted profit in the interval [0 , ¯ T ), the characteristics of its optimal solution ( P ∗ 0 , P ∗ T ) at each period were rigorously derived and profoundly discussed. This two-period model pricing could be extended to an infinite multiple-period optimal pricing model to become the issue of price control. The study would further conclude that, after a new product is initialized, its price should decline with time to take advantage of it with exhausting the consumer surplus of consumers.
最优模型主要是针对房地产、游乐园、大型家具等产品本身不能在公共场合移动或穿戴，无法向其他消费者展示的情况，来解释其最优促销定价策略。在扩展的Bass扩散模型中，研究采用了扩散能力的双重来源，即潜在消费者的数量和产品的价格水平。给定的时期[0,T)和[T,¯T) T <¯T, T¯也许∞当一个公司试图决定价格P 0在[0,T)和价格P T内(T,¯T),分别实现贴现利润最大化的目标区间[0,T¯),其最优解的特点(P∗0,P∗T)在每个时期严格推导和深刻的讨论。该两期定价模型可以推广为无限多期最优定价模型，成为价格控制问题。研究进一步得出结论，新产品初始化后，其价格应随着时间的推移而下降，以利用它，耗尽消费者的消费者剩余。
{"title":"Two-Period Pricing Model for Walk-in Potential Consumers with Normal Distribution of the Price of Their Willing to Buy","authors":"hsien-bin Wang, Miao-Sheng Chen, M. Li","doi":"10.6186/IJIMS.2016.27.3.5","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.3.5","url":null,"abstract":"The optimal model was mainly constructed for the products, such as real estates, amusement park, or major furniture which themselves cannot be moved or worn to reveal to other consumers in public, to explain their optimal promotional pricing strategy. The study adopted the dual sources of the diffusion power, the number of walk-in potential consumers and the price level of the product, in the extended Bass Diffusion Model. Given periods of [0 , T ) and [ T, ¯ T ), T < ¯ T , and ¯ T maybe ∞ when a firm attempts to decide price P 0 within [0 , T ) and price P T within [ T, ¯ T ), respectively, to achieve the goal of maximizing discounted profit in the interval [0 , ¯ T ), the characteristics of its optimal solution ( P ∗ 0 , P ∗ T ) at each period were rigorously derived and profoundly discussed. This two-period model pricing could be extended to an infinite multiple-period optimal pricing model to become the issue of price control. The study would further conclude that, after a new product is initialized, its price should decline with time to take advantage of it with exhausting the consumer surplus of consumers.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"24 1","pages":"283-298"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87117439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-01DOI: 10.6186/IJIMS.2016.27.4.6
Ruey-Chyn Tsaur, Yuchu Huang
As technology advances, multi-touch smartphones have rapidly become a necessity in the daily lives of most users. In order to expand their market share and attract new users, new generations of smartphones are being introduced in a much shorter interval. As a result, older phones are discarded in greater speed, and thus creating more electronic waste each year. To reduce waste material, the concept of reused smartphones is proposed. In order to attract users to purchase these reused smartphones, this study aims to look into the pricing strategy for Apple and Samsung products as both are top smartphone brands with the highest market shares. Under the duopoly environment, this study uses the Cournot game model to determine the optimal solution in a price competition with Apple set to be the leader and Samsung the “follower”. While making pricing strategies, manufacturers commonly strive to maximize their profits. Two pricing functions will have a point of intersection, and the solution will be the optimal equilibrium. The model proposed in this study may be taken as reference for manufacturers to understand the reused smartphone market.
{"title":"Reused Smartphones Pricing Analysis — A Duopoly Model Analysis with respect to Apple and Samsung Smartphones","authors":"Ruey-Chyn Tsaur, Yuchu Huang","doi":"10.6186/IJIMS.2016.27.4.6","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.4.6","url":null,"abstract":"As technology advances, multi-touch smartphones have rapidly become a necessity in the daily lives of most users. In order to expand their market share and attract new users, new generations of smartphones are being introduced in a much shorter interval. As a result, older phones are discarded in greater speed, and thus creating more electronic waste each year. To reduce waste material, the concept of reused smartphones is proposed. In order to attract users to purchase these reused smartphones, this study aims to look into the pricing strategy for Apple and Samsung products as both are top smartphone brands with the highest market shares. Under the duopoly environment, this study uses the Cournot game model to determine the optimal solution in a price competition with Apple set to be the leader and Samsung the “follower”. While making pricing strategies, manufacturers commonly strive to maximize their profits. Two pricing functions will have a point of intersection, and the solution will be the optimal equilibrium. The model proposed in this study may be taken as reference for manufacturers to understand the reused smartphone market.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"79 1","pages":"405-422"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90617580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper analyzes the reliability characteristics of a system with imperfect coverage in which a repairable service station is considered. Failure times of primary and standby units are assumed to follow exponential distributions. With a coverage probability c , a failed unit is immediately detected and replaced by a standby if one is available. If the failed unit is not detected, the system enters an unsafe failure state and has to be refreshed by a reboot action. When the service station breaks down, it needs repair at a repair device. We present the expression for reliability function R Y ( t ) and mean time to system failure MTTF . Several cases are analyzed to study the effects of various parameters on the system reliability R Y ( t ) and MTTF . We also perform the sensitivity analysis of R Y ( t ) and MTTF with respect to system parameters. Finally, we present an application example to demonstrate the applicability of investigated model.
本文分析了考虑可修服务站的不完全覆盖系统的可靠性特性。假设主备设备的故障时间呈指数分布。在覆盖概率为c的情况下，故障单元被立即检测到，如果有备用单元可用，则替换为备用单元。如果未检测到故障单元，则系统进入不安全的故障状态，必须通过重新启动操作进行刷新。当服务站发生故障时，需要在维修设备上进行维修。给出了可靠性函数ry (t)和平均故障前时间MTTF的表达式。通过实例分析，研究了各参数对系统可靠性R Y (t)和MTTF的影响。我们还进行了ry (t)和MTTF对系统参数的敏感性分析。最后，通过应用实例验证了所研究模型的适用性。
{"title":"Standby System with Imperfect Coverage and Repairable Service Station","authors":"Ying-Lin Hsu, ying-cheng Tseng, Chia-Jung Chang, Fu-Min Chang","doi":"10.6186/IJIMS.2016.27.3.6","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.3.6","url":null,"abstract":"This paper analyzes the reliability characteristics of a system with imperfect coverage in which a repairable service station is considered. Failure times of primary and standby units are assumed to follow exponential distributions. With a coverage probability c , a failed unit is immediately detected and replaced by a standby if one is available. If the failed unit is not detected, the system enters an unsafe failure state and has to be refreshed by a reboot action. When the service station breaks down, it needs repair at a repair device. We present the expression for reliability function R Y ( t ) and mean time to system failure MTTF . Several cases are analyzed to study the effects of various parameters on the system reliability R Y ( t ) and MTTF . We also perform the sensitivity analysis of R Y ( t ) and MTTF with respect to system parameters. Finally, we present an application example to demonstrate the applicability of investigated model.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"31 1","pages":"299-316"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74615878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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