{"title":"Locating and sizing electric vehicles charging stations in new markets","authors":"Mohamed Aziz Jegham, S. Layeb","doi":"10.1504/IJADS.2020.10023338","DOIUrl":"https://doi.org/10.1504/IJADS.2020.10023338","url":null,"abstract":"In countries where there are a handful of electric vehicles (EV), installing appropriately charging stations could promote the usage of this emergent technology. In this work, we address the problem of locating and sizing EV charging stations in the specific context of a virgin market. First, we forecast the percentage of electric vehicles using a Bass diffusion model (BDM). Once the EV demand properly predicted, we adopt a set-covering-based approach through the formulation of linear programming models to locate and size the potential EV charging stations. The objective is to reduce weighted installation and access costs while ensuring that the stations are within a comfortable reach for the EV users. Without any loss of generality, we apply the overall scheme on the real case study of Tunis City, Tunisia, to propose the appropriate charging infrastructure deployment for the year 2025.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131129573","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 bi-level programming model of rough stochastic MRCPSP in large-scale hydropower construction project","authors":"Zhe Zhang, Xiaoling Song","doi":"10.1504/ijads.2020.10024139","DOIUrl":"https://doi.org/10.1504/ijads.2020.10024139","url":null,"abstract":"This paper focuses on developing a bi-level programming model for rough stochastic multi-mode resource constrained project scheduling problem (RS-MRCPSP/bi-level). The metal structure installation project (MSIP) in Wudongde Hydropower Station is considered as the prototype, and then it is extended to be a generalised bi-level MRCPSP. In the upper level, the construction contractor is responsible for the investment on the activity, while the outsourcing partner is in charge of construction and implementation in the lower level. In order to deal with the rough stochastic parameters, the rough stochastic expected value operator is employed. Subsequently, in order to obtain the optimal schedule, an interactive method-based passive congregation particle swarm optimisation (IM-based PCPSO) is designed. Finally, a practical application for MSIP is presented to highlight the practicability of proposed model and solution method.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401537","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}
Leonardo Bosque, P. Albuquerque, Yaohao Peng, C. da-Silva, E. Nakano
{"title":"Probability of informed trading: a Bayesian approach","authors":"Leonardo Bosque, P. Albuquerque, Yaohao Peng, C. da-Silva, E. Nakano","doi":"10.1504/IJADS.2020.10023337","DOIUrl":"https://doi.org/10.1504/IJADS.2020.10023337","url":null,"abstract":"One of the most popular models for measuring information asymmetry of financial assets is the probability of informed trading model (PIN). Its theoretical foundation and its wide possibility of application made PIN a benchmark in insider trading studies. In view of the interpretability of PIN and its parameters, this study aims to evaluate and propose a Bayesian version for the probability of informed trading model. The proposed approach brings the possibility to include expert opinions about PIN parameters and represents a new contribution to the theoretical scope of market microstructure models.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128185354","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}
Radamanee Noppasit, W. Yamaka, Paravee Maneejuk, Wachirawit Puttachai, S. Sriboonchitta
{"title":"Multifactor capital asset pricing model in emerging and advanced markets using two error components model","authors":"Radamanee Noppasit, W. Yamaka, Paravee Maneejuk, Wachirawit Puttachai, S. Sriboonchitta","doi":"10.1504/ijads.2020.10025015","DOIUrl":"https://doi.org/10.1504/ijads.2020.10025015","url":null,"abstract":"We aim to explore the macroeconomic factors that are able to influence the return of the stock market in emerging and advanced markets. To find such factors, we analyse the data from three emerging countries and three developed countries. The multifactor capital asset pricing model (CAPM), which includes the overall market return and the selected macroeconomic variables, is employed to achieve our study. However, the assumption of CAPM, which displayed only one error term, has been concerned in our analysis as one error term may fail to capture and define the whole erroneousness in the model. Thus, we prove the existence of the second error components of the CAPM. In addition, the concept of a seemingly unrelated regression (SUR) model is also applied to join the CAPM of each country. As a consequent, we propose a new SUR model which compounds two errors to investigate the multifactor CAPM.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"121 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318693","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":"Ranking of efficient units on the basis of distance from virtual ideal and anti-ideal units","authors":"S. H. Nasseri, H. Kiaei","doi":"10.1504/IJADS.2019.10020866","DOIUrl":"https://doi.org/10.1504/IJADS.2019.10020866","url":null,"abstract":"Data envelopment analysis (DEA) divides the units under evaluation into two groups: 1) the efficient units; 2) inefficient units. Inefficient units can be ranked in terms of effectiveness while efficient units, because of the same efficiency score being equal to one, have the same rank. Several methods have been proposed to rank efficient decision making units (DMUs). Each of these methods have certain weaknesses such as the infeasibility of the model, instability, the lack of non-extreme DMUs ranking, computational complexity, etc. In this paper, we present an alternative method that does not have the disadvantages of existing ranking techniques. The new approach is based on the evaluation of new DMUs corresponding to the efficient DMU. Also, some theorems are provided to show that the proposed model for ranking the DMUs is feasible and bounded. For this purpose, some examples are illustrated to show its difference with other methods.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890332","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 multi-method approach to evaluate land combat vehicle system","authors":"M. Nguyen, T. Cao","doi":"10.1504/IJADS.2019.10020865","DOIUrl":"https://doi.org/10.1504/IJADS.2019.10020865","url":null,"abstract":"This paper utilises Bayesian network (BN), multi-criteria decision making (MCDM), and multi-objective evolutionary algorithms (MOEA) to present a hybrid decision making model for evaluating and optimising the operational impact of different land combat vehicle (LCV) system specifications and configurations. BN is employed to establish a qualitative and quantitative representation of the relations between the variables of the model and calculate standard values of uncertain LCV capabilities like survivability, lethality, etc. MCDM is adopted to integrate the influence of LCV capabilities and calculate the utility value of the selected options. An interactive analysis tool using MOEA is developed to manage the combinatorial nature of the number of LCV system options available and to help the decision maker to avoid any arbitrary selection of sub-optimum baseline vehicles.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116510854","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":"Comprehensive evaluation of performance of 21 Chinese industrial parks based on DEA and IDEA model","authors":"Qian Zhang, Bingjiang Zhang","doi":"10.1504/IJADS.2019.098689","DOIUrl":"https://doi.org/10.1504/IJADS.2019.098689","url":null,"abstract":"In this paper, based on the DEA model and the inverted DEA model, a new comprehensive evaluation indicator is constructed to evaluate the performance of 21 Chinese industrial parks. The standard DEA model is usually used to evaluate the efficiency of decision making units with desirable variables, while the data information of some decision making units also contains undesirable variables. In order to make more full use of the initial data for evaluation, it is considered to introduce an inverted DEA model for evaluating undesirable variables. The indicators of the two models are then combined for comprehensive evaluation. Using the comprehensive evaluation indicator constructed in the paper, 21 Chinese industrial parks were evaluated. The results show that the performance indicator takes into account the psychological characteristics of human beings, which is more realistic, and also improves the distinguishing ability of standard DEA evaluation.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557694","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":"Measuring the productivity of the bank branches using data envelopment analysis and Malmquist index","authors":"K. K. Damghani, Batool Rahamni, M. Alrasheedi","doi":"10.1504/IJADS.2019.098663","DOIUrl":"https://doi.org/10.1504/IJADS.2019.098663","url":null,"abstract":"Productivity measurement is assumed as one of the main guidelines to assess the effectiveness and efficiency of organisations. Productivity of the bank branches as main players of financial systems should be measured periodically. In this paper, the productivity and its components (i.e., technical efficiency change and technological frontier change) in 42 profit-making branches of a private bank in Tehran province, Iran, are analysed during the period 2014-2016. Inefficient bank branches are determined. The projection of inefficient bank branches toward efficient frontier is also discussed. Productivity and technical efficiency of production elements of branches of a private bank are investigated by Malmquist productivity index (MPI) and an input-oriented data envelopment analysis (DEA) in constant returns to scale (CRS) and variable returns to scale (VRS) conditions. Based on results, scale inefficiency had the greatest impact on technical efficiency in the case study.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133580235","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}
Gokhan Egilmez, Nadiye O. Erdil, Omid M. Arani, Mana Vahid
{"title":"Application of artificial neural networks to assess student happiness","authors":"Gokhan Egilmez, Nadiye O. Erdil, Omid M. Arani, Mana Vahid","doi":"10.1504/IJADS.2019.098674","DOIUrl":"https://doi.org/10.1504/IJADS.2019.098674","url":null,"abstract":"The purpose of this study is to develop an analytical assessment approach to identify the main factors that affect graduate students' happiness level. The two methods, multiple linear regression (MLR) and artificial neural networks (ANN), were employed for analytical modelling. A sample of 118 students at a small non-profit private university constituted the survey pool. Various factors including education, school facilities, health, social activities, and family were taken into consideration as a result of literature review in happiness assessment. A total of 32 inputs and one output variables were identified during survey design phase. The following survey conduction, data collection, cleaning, and preparation; MLR and ANNs were built. ANN models provided better classification performance with over 0.7 R-square and a smaller standard error of estimate compared to MLR. Major policy areas to improve student happiness levels were identified as career services, financial aid, parking and dining services.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134416039","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 uniqueness-driven similarity measure for automated competitor identification","authors":"Xin Ji, Y. Tsai, Adam J. Fleischhacker","doi":"10.1504/IJADS.2019.098664","DOIUrl":"https://doi.org/10.1504/IJADS.2019.098664","url":null,"abstract":"Uniqueness is an important source of competitive advantage and a salient aspect for firms identifying competitors and market structure. While marketing research often includes uniqueness as an important aspect of product positioning and product strategy, the existing literature has offered little guidance on operationalising this notion for use in the competitor identification process. This paper proposes a probabilistic similarity measure to quantify a competitive landscape where uniqueness is a key driver of competition. The proposed measure, when used with readily available data and combined with existing clustering algorithms, enables automation of the competitor identification process. Empirical experiments are used to validate the proposed measure. These experiments show that marketers can use readily available data, including social media tags and geographical proximity data, to reveal the same insight as is gathered when using the more laborious and time-consuming approach of traditional consumer surveys.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920815","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}