Pub Date : 2017-03-01DOI: 10.6186/IJIMS.2016.28.1.5
C. Yu, Huo-Tsan Chang, S. Hsu
Our society is advancing towards globalization as transportation and technology continue their progression. Foreign language proficiency has become not only a key job skill but also an important basis for personal development and international perspective. Therefore, students proficient in a foreign language would more easily adjust to the challenges of working overseas jobs. This study developed an assessment model for the quality and quantity of foreign language training courses to enhance students learning effectiveness. This study first defined quality and quantity indices, followed by a quality/quantity evaluation matrix (QQEM). Then, a model was built to analyze improvement to quality and quantity. Should the model show that a course is strong in both quality and quantity, standardized operating procedures (SOPs) can be defined and uploaded into the knowledge database for future reference. Lastly, a case study was conducted to demonstrate the application of the proposed model, and use the cause-and-effect diagram to analyze the causes of a problem thoroughly and identify strategies for improvement.
{"title":"An assessment of quality and quantity for foreign language training course to enhance students' learning effectiveness","authors":"C. Yu, Huo-Tsan Chang, S. Hsu","doi":"10.6186/IJIMS.2016.28.1.5","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.28.1.5","url":null,"abstract":"Our society is advancing towards globalization as transportation and technology continue their progression. Foreign language proficiency has become not only a key job skill but also an important basis for personal development and international perspective. Therefore, students proficient in a foreign language would more easily adjust to the challenges of working overseas jobs. This study developed an assessment model for the quality and quantity of foreign language training courses to enhance students learning effectiveness. This study first defined quality and quantity indices, followed by a quality/quantity evaluation matrix (QQEM). Then, a model was built to analyze improvement to quality and quantity. Should the model show that a course is strong in both quality and quantity, standardized operating procedures (SOPs) can be defined and uploaded into the knowledge database for future reference. Lastly, a case study was conducted to demonstrate the application of the proposed model, and use the cause-and-effect diagram to analyze the causes of a problem thoroughly and identify strategies for improvement.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"47 1","pages":"53-66"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82032278","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 : 2017-03-01DOI: 10.6186/IJIMS.2016.28.1.4
Po-Hsun Wang, G. Lin, Tsang-Chuan Chang
The Taguchi capability index C_(pm) has been proposed to the manufacturing industry for measuring manufacturing capability. Investigations of the estimated Taguchi capability index based on subsamples have been proposed and arrested substantial research attention. In this paper, investigation based on subsamples is considered for normally distributed processes from the traditional distribution frequency approach. A reliable inferential procedure based on subsamples of the estimated Taguchi capability index is proposed. Computational programs using Matlab software are proposed to calculate p-values and critical values required to ensure the process reaching a certain desirable level of the time. A practical example is provided to demonstrate how the proposed procedure may be applied for judging whether the process runs under the desirable quality requirement.
{"title":"Assessing Nanofabrication Performance Based on the Estimated Taguchi Capability Index with Subsamples","authors":"Po-Hsun Wang, G. Lin, Tsang-Chuan Chang","doi":"10.6186/IJIMS.2016.28.1.4","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.28.1.4","url":null,"abstract":"The Taguchi capability index C_(pm) has been proposed to the manufacturing industry for measuring manufacturing capability. Investigations of the estimated Taguchi capability index based on subsamples have been proposed and arrested substantial research attention. In this paper, investigation based on subsamples is considered for normally distributed processes from the traditional distribution frequency approach. A reliable inferential procedure based on subsamples of the estimated Taguchi capability index is proposed. Computational programs using Matlab software are proposed to calculate p-values and critical values required to ensure the process reaching a certain desirable level of the time. A practical example is provided to demonstrate how the proposed procedure may be applied for judging whether the process runs under the desirable quality requirement.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"36 1","pages":"33-52"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78973964","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 : 2016-12-01DOI: 10.6186/IJIMS.2016.27.4.1
T. Iswari, V. Yu, A. Asih
Blood service operation is a key component of healthcare systems all over the world. Transporting time-sensitive products like blood presents a specific and unique challenge, as such perishable products have a spoilage time before which they must be used to avoid deterioration. Therefore, if the spoilage time is exceeded, then the product should be discarded. The blood pickup routing problem (BPRP) focuses on the upstream activities of blood logistics, starting from collection or pickup of blood bags at fixed donation sites and then delivering the blood bags to the blood bank. BPRP is an extension of the well-known vehicle routing problem with time windows. In BPRP, the set of vehicle routes are constructed to minimize total distance while at the same time observing time window constraints of donation sites and the spoilage time constraint of the blood. More specifically, each donation site has its time window during which a vehicle can start collecting blood bags at the site. The blood bags must be transported back to the blood bank before the bank's closing time and the blood's spoilage time. This study develops a mathematical programming model for BPRP. Since CPLEX can only solve the model to optimality for small instances, this study proposes a simulated annealing (SA) based heuristic approach to solve medium and large BPRP instances. We test the proposed SA heuristic on BPRP instances generated by this study. Computational results show that the proposed SA heuristic performs well on solving BPRP.
{"title":"Simulated annealing for the blood pickup routing problem","authors":"T. Iswari, V. Yu, A. Asih","doi":"10.6186/IJIMS.2016.27.4.1","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.4.1","url":null,"abstract":"Blood service operation is a key component of healthcare systems all over the world. Transporting time-sensitive products like blood presents a specific and unique challenge, as such perishable products have a spoilage time before which they must be used to avoid deterioration. Therefore, if the spoilage time is exceeded, then the product should be discarded. The blood pickup routing problem (BPRP) focuses on the upstream activities of blood logistics, starting from collection or pickup of blood bags at fixed donation sites and then delivering the blood bags to the blood bank. BPRP is an extension of the well-known vehicle routing problem with time windows. In BPRP, the set of vehicle routes are constructed to minimize total distance while at the same time observing time window constraints of donation sites and the spoilage time constraint of the blood. More specifically, each donation site has its time window during which a vehicle can start collecting blood bags at the site. The blood bags must be transported back to the blood bank before the bank's closing time and the blood's spoilage time. This study develops a mathematical programming model for BPRP. Since CPLEX can only solve the model to optimality for small instances, this study proposes a simulated annealing (SA) based heuristic approach to solve medium and large BPRP instances. We test the proposed SA heuristic on BPRP instances generated by this study. Computational results show that the proposed SA heuristic performs well on solving BPRP.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"68 1","pages":"317-327"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72901670","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.3
H. Shih, Yu-ting Chang, Chii-Pwu Cheng
This study aims to generalize the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) III model by introducing risk preferences of decision makers. The risk preferences are expressed by an S-shaped value function with gain and loss parts. This study then illustrates an environmental evaluation of waste treatment plants for waste electrical and electronic equipment (WEEE) in Taiwan. Sensitivity analysis and the rank test demonstrate that the proposed model is rather stable. The PROMETHEE methods have been involved in various applications, especially in environmental management. One core process of PROMETHEE is to establish a preference difference function with two types of thresholds. The range of the slope lines of the linear preference is within the interval of [0, 1]. Working from the concept of the prospect theory, we extend its S-shaped function to the interval range of [-1, 1] so as to express risk preferences that occur in two quadrants. This research assesses a project on 15 local WEEE treatment plants to promote their recycling capability and technology competitiveness. According to the five aspects, the performance measures of the plants are obtained from a field study. The proposed model has an advantage on rank invariance by changing the thresholds in our case with sensitivity analysis demonstrating the robustness of the model. The generalized PROMETHEE III with risk preferences indeed provides an extension for making a decision in an uncertain environment.
{"title":"A Generalized PROMETHEE III with Risk Preferences on Losses and Gains","authors":"H. Shih, Yu-ting Chang, Chii-Pwu Cheng","doi":"10.6186/IJIMS.2016.27.2.3","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.3","url":null,"abstract":"This study aims to generalize the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) III model by introducing risk preferences of decision makers. The risk preferences are expressed by an S-shaped value function with gain and loss parts. This study then illustrates an environmental evaluation of waste treatment plants for waste electrical and electronic equipment (WEEE) in Taiwan. Sensitivity analysis and the rank test demonstrate that the proposed model is rather stable. The PROMETHEE methods have been involved in various applications, especially in environmental management. One core process of PROMETHEE is to establish a preference difference function with two types of thresholds. The range of the slope lines of the linear preference is within the interval of [0, 1]. Working from the concept of the prospect theory, we extend its S-shaped function to the interval range of [-1, 1] so as to express risk preferences that occur in two quadrants. This research assesses a project on 15 local WEEE treatment plants to promote their recycling capability and technology competitiveness. According to the five aspects, the performance measures of the plants are obtained from a field study. The proposed model has an advantage on rank invariance by changing the thresholds in our case with sensitivity analysis demonstrating the robustness of the model. The generalized PROMETHEE III with risk preferences indeed provides an extension for making a decision in an uncertain environment.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"223 1","pages":"117-127"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75035481","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.8
Ruey-Chyn Tsaur, Huiting Huang
The retail industry in Taiwan plays an important role in people's lives and influences consumers' purchasing behavior. Due to global warming and the depletion of energy and other resources, most retailers are required to obey the green policy of reuse, recycling, and reduction in their operational process, service, and products. Therefore, we first evaluated the environmental performance of retailers using selected green criteria. Then, we assessed the performance of sustainable environmental practices among ten selected retailers using grey relation analysis and the entropy method to derive objective weights for the selected criteria. Next, for continuous improvement of retailers' green performance, we extracted and summarized a self-assessment checklist selected from the questionnaire. Retailers can use the checklist for guidelines for continuous improvement.
{"title":"Green Performance Assessment for Retail Industry in Taiwan","authors":"Ruey-Chyn Tsaur, Huiting Huang","doi":"10.6186/IJIMS.2016.27.2.8","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.8","url":null,"abstract":"The retail industry in Taiwan plays an important role in people's lives and influences consumers' purchasing behavior. Due to global warming and the depletion of energy and other resources, most retailers are required to obey the green policy of reuse, recycling, and reduction in their operational process, service, and products. Therefore, we first evaluated the environmental performance of retailers using selected green criteria. Then, we assessed the performance of sustainable environmental practices among ten selected retailers using grey relation analysis and the entropy method to derive objective weights for the selected criteria. Next, for continuous improvement of retailers' green performance, we extracted and summarized a self-assessment checklist selected from the questionnaire. Retailers can use the checklist for guidelines for continuous improvement.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"49 1","pages":"203-215"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89242720","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.1
P. Juszczuk, I. Kaliszewski, D. Podkopaev, H. Shih
The goal of numerous investing strategies, as opposed to hedging strategies, is ＂to beat the market＂, i.e. to secure returns higher than those guaranteed by tracking market indices. In order to achieve this goal, one needs to identify key factors which drive markets and cause security prices to fluctuate. We assume that distinctive key market factors exist, though it is not known how such factors correlate and aggregate, and eventually push a market from one quotation to another. In other words, we purport that at a given time there is the collective wisdom in a market which shapes the collective investment pattern for the future. We engage ourselves to reverse engineer that wisdom. Specifically, we attempt to reverse engineer it from market returns (which we interpret as collective market wisdom embodiment) with the use of the notions of vectors of concessions and compromise half lines, recently introduced into Multiple Criteria Decision Analysis. We illustrate our approach with preliminary calculations for selecting portfolios of international investment funds.
{"title":"Market Collective Wisdom Discovery for Portfolio Investments","authors":"P. Juszczuk, I. Kaliszewski, D. Podkopaev, H. Shih","doi":"10.6186/IJIMS.2016.27.2.1","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.1","url":null,"abstract":"The goal of numerous investing strategies, as opposed to hedging strategies, is ＂to beat the market＂, i.e. to secure returns higher than those guaranteed by tracking market indices. In order to achieve this goal, one needs to identify key factors which drive markets and cause security prices to fluctuate. We assume that distinctive key market factors exist, though it is not known how such factors correlate and aggregate, and eventually push a market from one quotation to another. In other words, we purport that at a given time there is the collective wisdom in a market which shapes the collective investment pattern for the future. We engage ourselves to reverse engineer that wisdom. Specifically, we attempt to reverse engineer it from market returns (which we interpret as collective market wisdom embodiment) with the use of the notions of vectors of concessions and compromise half lines, recently introduced into Multiple Criteria Decision Analysis. We illustrate our approach with preliminary calculations for selecting portfolios of international investment funds.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"3 1","pages":"87-102"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75030187","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.4
Huan-Jyh Shyur, Chichang Jou, Chi-Bin Cheng, Chih-Yu Yen
Sequential pattern mining is to discover frequent sequential patterns in a sequence database. The technique is applied to fields such as web click-stream mining, failure forecast, and traf- fic analysis. Conventional sequential pattern-mining approaches generally focus only the orders of items; however, the time interval between two consecutive events can be a valuable information when the time of the occurrence of an event is concerned. This study extends the concept of the well-known pattern growth approach, PrefixSpan algorithm, to propose a novel sequential pattern mining approach for sequential patterns with time intervals. Unlike the other time-interval sequential pattern-mining algorithms, the approach concerns the time for the next event to occur more than the timing information with its precedent events. To obtain a more reliable sequential pattern, a new measure of the confidence of a sequential pattern is defined. Experiments are conducted to evaluate the performance of the proposed approach.
{"title":"Discovering Time-Interval Sequential Patterns by a Pattern Growth Approach with Confidence Constraints","authors":"Huan-Jyh Shyur, Chichang Jou, Chi-Bin Cheng, Chih-Yu Yen","doi":"10.6186/IJIMS.2016.27.2.4","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.4","url":null,"abstract":"Sequential pattern mining is to discover frequent sequential patterns in a sequence database. The technique is applied to fields such as web click-stream mining, failure forecast, and traf- fic analysis. Conventional sequential pattern-mining approaches generally focus only the orders of items; however, the time interval between two consecutive events can be a valuable information when the time of the occurrence of an event is concerned. This study extends the concept of the well-known pattern growth approach, PrefixSpan algorithm, to propose a novel sequential pattern mining approach for sequential patterns with time intervals. Unlike the other time-interval sequential pattern-mining algorithms, the approach concerns the time for the next event to occur more than the timing information with its precedent events. To obtain a more reliable sequential pattern, a new measure of the confidence of a sequential pattern is defined. Experiments are conducted to evaluate the performance of the proposed approach.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"5 1","pages":"129-145"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74983606","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.2
J. Miroforidis
A rational approach to terminal airport management is not a trivial task due to relatively complex interactions between passengers and terminal infrastructure. Such infrastructure may be represented or modelled as a network of service nodes. To make a decision about such a network structure, one has to take into account not only the cost of terminal infrastructure, but also a set of quality indicators depicting passenger service level. Such decision problems may be formulated in the multiple criteria setting. We propose a bi-criteria decision making problem with a discrete-event simulation model of a terminal airport as a base model. The simulation model is used to evaluate a finite set of configurations representing a network of service nodes. To point out the most preferred Pareto optimal configuration, we propose to use an interactive decision making method to navigate Pareto optimal solutions with so-called vectors of concessions and reference points as preference carriers. Such versatile decision making scheme may be used to solve practical multiple criteria decision problems with values of criteria functions obtained by simulation runs.
{"title":"Multiple Criteria Analysis of the Airport Terminal Effectiveness by Multi-objective Optimization and Simulation","authors":"J. Miroforidis","doi":"10.6186/IJIMS.2016.27.2.2","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.2","url":null,"abstract":"A rational approach to terminal airport management is not a trivial task due to relatively complex interactions between passengers and terminal infrastructure. Such infrastructure may be represented or modelled as a network of service nodes. To make a decision about such a network structure, one has to take into account not only the cost of terminal infrastructure, but also a set of quality indicators depicting passenger service level. Such decision problems may be formulated in the multiple criteria setting. We propose a bi-criteria decision making problem with a discrete-event simulation model of a terminal airport as a base model. The simulation model is used to evaluate a finite set of configurations representing a network of service nodes. To point out the most preferred Pareto optimal configuration, we propose to use an interactive decision making method to navigate Pareto optimal solutions with so-called vectors of concessions and reference points as preference carriers. Such versatile decision making scheme may be used to solve practical multiple criteria decision problems with values of criteria functions obtained by simulation runs.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"57 1","pages":"103-115"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85772573","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.5
Pengkun Huang, H. Luh, Z. Zhang
This paper proposes a tiered inspection system for airport security, wherein passengers are divided into three classes based on historical security records. A two-dimensional Markov process and a Markov modulated Poisson process (MMPP) queue were used in the formu- lation of the security inspection system. Simulated annealing was then used to obtain near- optimum solution for the model. The efficacy of the proposed model was evaluated using the arrival data of passengers at Taoyuan International Airport and other two international airports. A comparison with two conventional queueing models with regard to the average waiting time demonstrated the effectiveness of the proposed security inspection system in enhancing service efficiency and boosting the level of security.
{"title":"A Queueing Model for Tiered Inspection Lines in Airports","authors":"Pengkun Huang, H. Luh, Z. Zhang","doi":"10.6186/IJIMS.2016.27.2.5","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.5","url":null,"abstract":"This paper proposes a tiered inspection system for airport security, wherein passengers are divided into three classes based on historical security records. A two-dimensional Markov process and a Markov modulated Poisson process (MMPP) queue were used in the formu- lation of the security inspection system. Simulated annealing was then used to obtain near- optimum solution for the model. The efficacy of the proposed model was evaluated using the arrival data of passengers at Taoyuan International Airport and other two international airports. A comparison with two conventional queueing models with regard to the average waiting time demonstrated the effectiveness of the proposed security inspection system in enhancing service efficiency and boosting the level of security.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"19 1","pages":"147-177"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81906361","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 : 2016-06-01DOI: 10.6186/IJIMS.2016.27.2.6
J. Stanczak, A. Barski, Krzysztof Sep, J. Owsinski
The development of cities and agglomerations brings new problems to be solved. One of them is the excessive road traffic and the related air pollution. Heavy traffic causes congestions and thus increases the pollution level, because one of the most significant sources of air pollution are car exhaust gases. It is known that the public transport produces less pollution per one passenger then the private one. On the basis of this fact the idea of the Park-and-Ride (P&R or P+R) was developed, where commuters travel to the borders of the city by their cars and from there they continue their trip by public transportation. In this work, we will concentrate on finding the best localizations for P&R points. Our approach is composed of two steps. In the first step, a number of communication hubs is selected where P&R can be located (feasibility analysis). In the second step a subset of hubs is chosen to actually have P&R points built (commuters' convenience analysis). We solve the P&R location problem on the first step using some aspects of the Hub and Spoke method by applying a specialized evolutionary algorithm. As the problem of the second step is rather small, we propose to have it solved by experts.
{"title":"The Problem of Distribution of Park-and-Ride Car Parks in Warsaw","authors":"J. Stanczak, A. Barski, Krzysztof Sep, J. Owsinski","doi":"10.6186/IJIMS.2016.27.2.6","DOIUrl":"https://doi.org/10.6186/IJIMS.2016.27.2.6","url":null,"abstract":"The development of cities and agglomerations brings new problems to be solved. One of them is the excessive road traffic and the related air pollution. Heavy traffic causes congestions and thus increases the pollution level, because one of the most significant sources of air pollution are car exhaust gases. It is known that the public transport produces less pollution per one passenger then the private one. On the basis of this fact the idea of the Park-and-Ride (P&R or P+R) was developed, where commuters travel to the borders of the city by their cars and from there they continue their trip by public transportation. In this work, we will concentrate on finding the best localizations for P&R points. Our approach is composed of two steps. In the first step, a number of communication hubs is selected where P&R can be located (feasibility analysis). In the second step a subset of hubs is chosen to actually have P&R points built (commuters' convenience analysis). We solve the P&R location problem on the first step using some aspects of the Hub and Spoke method by applying a specialized evolutionary algorithm. As the problem of the second step is rather small, we propose to have it solved by experts.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"40 1","pages":"179-190"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88802084","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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