Adv. Decis. Sci.Pub Date : 2021-03-25DOI: 10.1155/S1173912603000051
J. Rayner
{"title":"Background","authors":"J. Rayner","doi":"10.1155/S1173912603000051","DOIUrl":"https://doi.org/10.1155/S1173912603000051","url":null,"abstract":"In the Mediterranean, deep seabed encompasses some unique habitats such as hydrothermal vents, seamounts, submarine canyons and deep coral reefs characterized by high biodiversity and endemism. In addition, oceanographic features and large-scale water movements like upwelling, gyres or fronts create critical habitats for the development, reproduction and feeding of many pelagic species. They are also supporting a wide range of components of the trophic chain from planktonic species to top predators like bluefin tuna, pelagic sharks and cetaceans. But these ecosystems are under several pressures due to human activities.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115724575","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}
{"title":"Comment on \"Rough Multisets and Information Multisystems\"","authors":"S. A. El-Sheikh, M. Hosny, M. Raafat","doi":"10.1155/2017/3436073","DOIUrl":"https://doi.org/10.1155/2017/3436073","url":null,"abstract":"We show that some results introduced in Girish and John (2011) are incorrect. Moreover, a counterexample is given to confirm our claim. Furthermore, the correction form of the incorrect results in Girish and John (2011) is presented.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116092769","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}
{"title":"Key Enablers of Effective Implementation of TQM in Royal Jet Airways","authors":"Moza Tahnoon Al Nahyan, Sherine Farouk Abdel All","doi":"10.1155/2017/3197585","DOIUrl":"https://doi.org/10.1155/2017/3197585","url":null,"abstract":"Total quality management (TQM) is a unified management approach that concentrates on the consecutive improvement of processes, products, and methods to surpass client expectations. This paper aims to highlight the advantages of implementing TQM in the airline industry by examining the key enablers of TQM. This study was based on a research model including six factors that were found to have a profound influence in implementing TQM. The data needed for the study was collected with the aid of questionnaires and secondary sources. The study discovered that procedures, policies, and a culture of knowledge transfer were the most significant enablers of successful TQM initiatives in Royal Jet Airways. In order to effectively implement TQM, the study suggests that management should offer appropriate recognition and rewards to employees. This will motivate them to adopt and practice TQM initiatives. Apart from that, management should also arrange seminars or workshops to accustom the employees to the basic procedures and objectives of effective TQM.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122218040","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}
{"title":"Selecting a Multicriteria Inventory Classification Model to Improve Customer Order Fill Rate","authors":"Qamar Iqbal, D. Malzahn, L. Whitman","doi":"10.1155/2017/5028919","DOIUrl":"https://doi.org/10.1155/2017/5028919","url":null,"abstract":"Multicriteria models have been proposed for inventory classification in previous studies. However, it is important to make a decision when a particular multicriteria inventory classification model should be preferred over other models and also if the highest performing model remains the highest performing at all times. Companies always look for ways to improve customer order fulfillment process. This paper shows how better inventory classification can improve customer order fill rate in variable settings. The method to compare the inventory classification models with regard to improving customer order fill rate is proposed. The cut-off point is calculated which indicates when a model currently in use should be dropped in favor of another model to increase revenue by filling more orders. Sensitivity analysis is also performed to determine how holding cost and demand uncertainty affect the performance metric. Finally, regression analysis and hypothesis testing inform the decision-maker of how a model’s performance differs from other models at various values of holding cost and standard deviation of demand.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121417057","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}
Didier Cossin, H. Schellhorn, Nan Song, Satjaporn Tungsong
{"title":"Corrigendum to \"A Theoretical Argument Why the t-Copula Explains Credit Risk Contagion Better than the Gaussian Copula\"","authors":"Didier Cossin, H. Schellhorn, Nan Song, Satjaporn Tungsong","doi":"10.1155/2016/5698452","DOIUrl":"https://doi.org/10.1155/2016/5698452","url":null,"abstract":"One of the key questions in credit dependence modelling is the specfication of the copula function linking the marginals of default variables. Copulae functions are important because they allow to decouple statistical inference into two parts: inference of the marginals and inference of the dependence. This is particularly important in the area of credit risk where information on dependence is scant. Whereas the techniques to estimate the parameters of the copula function seem to be fairly well established, the choice of the copula function is still an open problem. We find out by simulation that the t-copula naturally arises from a structural model of credit risk, proposed by Cossin and Schellhorn 2007 . If revenues are linked by a Gaussian copula, we demonstrate that the t-copula provides a better fit to simulations than does a Gaussian copula. This is done under various specfications of the marginals and various configurations of the network. Beyond its quantitative importance, this result is qualitatively intriguing. Student’s t-copulae induce fatter joint tails than Gaussian copulae ceteris paribus. On the other hand observed credit spreads have generally fatter joint tails than the ones implied by the Gaussian distribution. We thus provide a new statistical explanation why i credit spreads have fat joint tails, and ii financial crises are amplified by network effects.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121226929","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}
{"title":"Corrigendum to \"Comparison of Some Tests of Fit for the Inverse Gaussian Distribution\"","authors":"D. Best, J. Rayner, O. Thas","doi":"10.1155/2016/1097157","DOIUrl":"https://doi.org/10.1155/2016/1097157","url":null,"abstract":"In the article titled “Comparison of some tests of fit for the Inverse Gaussian distribution” [1], there were a number of typographical and other errors. Except for the minor typographical error in V0 below, all calculations reported appear to be correct. In (2.1) + sign in the denominator should be omitted so that the denominator is 24(⋅ ⋅ ⋅ )(⋅ ⋅ ⋅ ). Also a hat is missing on φ and the last ?̂? should not be cubed. Thus ?̂?23 = n?̂?6 24 (4 + ?̂?) (120 + 75?̂? + 15?̂?2 + ?̂?3) × {?̂?3 (4 + ?̂?) − ?̂?2 (60̂ φ + 30 + 4?̂?) + 120 ?̂?3 + 195 ?̂?2 + 123 ?̂? + 32 + 3?̂?} 2 . (1)","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134113703","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}
{"title":"Comparison of the Datar-Mathews Method and the Fuzzy Pay-Off Method through Numerical Results","authors":"M. Kozlova, M. Collan, P. Luukka","doi":"10.1155/2016/7836784","DOIUrl":"https://doi.org/10.1155/2016/7836784","url":null,"abstract":"The paper compares numerically the results from two real option valuation methods, the Datar-Mathews method and the fuzzy pay-off method. Datar-Mathews method is based on using Monte Carlo simulation within a probabilistic valuation framework, while the fuzzy pay-off method relies on modeling the real option valuation by using fuzzy numbers in a possibilistic space. The results show that real option valuation results from the two methods seem to be consistent with each other. The fuzzy pay-off method is more robust and is also usable when not enough information is available for a construction of a simulation model.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116532243","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}
{"title":"A Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison","authors":"Bangweon Song, Seokjoong Kang","doi":"10.1155/2016/8963214","DOIUrl":"https://doi.org/10.1155/2016/8963214","url":null,"abstract":"The analytic hierarchy process (AHP) has advantages that the whole number of comparisons can be reduced via a hierarchy structure and the consistency of responses verified via a consistency ratio. However, at the same time, the AHP has disadvantages that values vary according to the form of hierarchy structure and it is difficult to maintain consistency itself among responses. If the number of comparisons can be reduced, a comparison within a single level is optimal, and if comparison can be made while the priority among entities is maintained, consistency may be automatically maintained. Thus, in this study, we propose a method of assigning weights, which applies hierarchy structure of AHP and pairwise comparison but complements the disadvantages of AHP. This method has advantages that the number of comparisons can be reduced and also consistency is automatically maintained via determination of priorities first on multiple entities and subsequent comparisons between entities with adjoined priorities.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116408652","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}
{"title":"A Rough Set Based Assessment of the Strategies to Reduce Greenhouse Gas Emissions: A Tanzanian Shipping Sector Perspective","authors":"Erick P. Massami, Benitha M. Myamba","doi":"10.1155/2016/8256072","DOIUrl":"https://doi.org/10.1155/2016/8256072","url":null,"abstract":"The Greenhouse Gas (GHG) emissions due to transport operations have drastically increased in recent years. The sea transport in particular contributes 2.7 to 3 percent of CO2, a major component of GHG emissions globally. Numerous measures have been undertaken locally and internationally to alleviate the sea transport share of Greenhouse Gases. However, most of these measures will be fruitful if ship investors (e.g., ship owners and operators) would fully employ the GHG emission reduction strategies. Due to the scarcity of the statistical data in this respect, this study therefore presents a rough set synthetic assessment (RSSA) model to GHG emission abatement strategies in the Tanzanian shipping sector. The results of the assessment reveal that the Tanzanian shipping companies engaged in Cabotage trade are aware of the abatement strategies and moderately apply them.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115229282","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}
{"title":"Assessing the Option to Abandon an Investment Project by the Binomial Options Pricing Model","authors":"S. C. Rambaud, Ana María Sánchez Pérez","doi":"10.1155/2016/7605909","DOIUrl":"https://doi.org/10.1155/2016/7605909","url":null,"abstract":"Usually, traditional methods for investment project appraisal such as the net present value (hereinafter NPV) do not incorporate in their values the operational flexibility offered by including a real option included in the project. In this paper, real options, and more specifically the option to abandon, are analysed as a complement to cash flow sequence which quantifies the project. In this way, by considering the existing analogy with financial options, a mathematical expression is derived by using the binomial options pricing model. This methodology provides the value of the option to abandon the project within one, two, and in general periods. Therefore, this paper aims to be a useful tool in determining the value of the option to abandon according to its residual value, thus making easier the control of the uncertainty element within the project.","PeriodicalId":154579,"journal":{"name":"Adv. Decis. Sci.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125544077","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}