{"title":"A fast dynamic programming algorithm to a varied capacity problem in vehicle routing","authors":"Pengle Zhang, Yajie Dou","doi":"10.1504/IJADS.2018.10008635","DOIUrl":"https://doi.org/10.1504/IJADS.2018.10008635","url":null,"abstract":"As a typical combinational optimisation problem, the researches on vehicle routing problem (VRP) mostly focus on the case when vehicle loading capability is certain. In fact, the vehicle loading capability often changes with multi-type vehicles, varying goods size and customer's requirement alter. Thus, a varied capacity vehicle routing problem (VCVRP) is introduced and a fast dynamic programming algorithm is presented based on the K-step best fit deceasing and minimum spanning tree methods, the algorithms can serve as an approximate decoupling between the goods packing problem and router selection problem in VCVRP. Besides, the theoretical analysis on the upper bound of vehicle trip and local minimisation based on short-path priority principle are carried out theoretically. Finally, an example about varied capacity vehicle logistics transportation task is given with quality and performance analysis on different parameters and scales, to illustrate the feasibilities and advantages of the proposed algorithm.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125297043","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}
L. Ensslin, S. Ensslin, M. Gabriel, L. C. Chaves, M. Lima
{"title":"Organisational management: a study of a company of distribution services","authors":"L. Ensslin, S. Ensslin, M. Gabriel, L. C. Chaves, M. Lima","doi":"10.1504/IJADS.2018.10009879","DOIUrl":"https://doi.org/10.1504/IJADS.2018.10009879","url":null,"abstract":"The current trend of focusing on core activities created opportunities for some companies to act as subcontractors. This is the case for companies that handle the distribution of food products. Beyond the concern for speedy delivery, they must take into account the perishable nature of the products if they are to meet the expectations of their customers. The objective of this research, characterised as exploratory and descriptive, is to build a model to support the management of a company to meet the needs of food distribution, taking into account regional peculiarities, customers, and distribution services. To achieve this objective, we used the methodology of multicriteria decision support – constructivist (MCDA-C). The model allowed us to identify opportunities for improvement to the following aspects: minimum profitable load delivered; control of the localisation of products, maintenance of trucks, and accommodation of the products on the truck, which led to an increase in performance from 49 to 59 points using the proposed model.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131997397","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":"Vehicle routing optimisation algorithm for agricultural products logistics distribution","authors":"Mingqi Sun, D. Pang","doi":"10.1504/IJADS.2017.10005299","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10005299","url":null,"abstract":"This paper aims to handle the problem of vehicle routing optimisation in agricultural products logistics distribution. The vehicle routing optimisation problem is converted to a graph model calculation problem and then the node set of the graph contain depots and customers. The vehicle routing optimisation is to seek an optimal one from all possible paths which consumes least fuels. The main innovation of this paper is to introduce the ant colony algorithm in the vehicle route optimisation problem. In vehicle routing, each ant starts from the depot and goes through several customers and then goes back to the starting point. Furthermore, customers are determined with the pheromone information and multiple pheromone information matrixes are built up. Finally, experimental results demonstrate that our proposed algorithm can significantly reduce fuel cost in agricultural products logistics distribution.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566853","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 commercial real estate price evaluation model based on GT-BCPSO-BP neural network","authors":"Yongbo Liu","doi":"10.1504/IJADS.2017.10005301","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10005301","url":null,"abstract":"Aimed at coping with the complexity of commercial real estate price evaluation, the advantages of grey correlation theory, bacterial chemotaxis particle swarm algorithm and BP neural network are integrated to firstly put forward a novel model of commercial real estate cost evaluation. First, grey correlation theory was used to reduce the factors affecting commercial real estate price and optimise input variables of BP neural network. Then, the bacterial chemotaxis particle swarm algorithm with constriction factors is adopted to optimise the initial weights and thresholds. Through this method, BP neural network can be used to solve nonlinear problems and to improve the rate of convergence and the ability to search global optimum. An engineering project in the city of Hunan is selected to make empirical analysis. It shows that this novel model enjoys a high practical value as it can be applied to make scientific evaluation of commercial real estate price evaluation.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121278170","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":"Wind turbine generator selection and comprehensive evaluation based on BPNN optimised by PSO","authors":"Wei Sun, Zhipeng Xu","doi":"10.1504/IJADS.2017.10006786","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10006786","url":null,"abstract":"With the development of the electric power system in China, wind power, as a clean energy, can be utilised to optimise the structure of electrical energy. By reducing the emission of pollutants, it will benefit the sustainable development of the national economy and environment. In wind power projects, scientific and rational choices for the wind turbine generator in actual wind farm are critical since it is directly related to the economic benefits of wind power projects. By analysing the status of current wind power capacity at the scale of the globe and China, wind power is projected to play an increasingly important role in the future. On this basis, we developed the comprehensive evaluation system of wind turbine generator selection and established a comprehensive evaluation model based on BP neural network which was optimised by particle swarm. A real example was employed to verify the validity of the proposed method, thus can provide guideline of the evaluation of the wind turbine generators selection in wind farms.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114936935","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":"Fuzzy cause selecting control charts for phase II monitoring of a two stage process","authors":"Peyman Soleymani, A. Amiri","doi":"10.1504/IJADS.2017.10005298","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10005298","url":null,"abstract":"In this paper, it is assumed that there is a two-stage process in which the quality characteristic of the second stage is represented by fuzzy number which is monitored to detect shifts in the process. Also due to the existence of cascade property in a two-stage process, the quality characteristic of the second stage is affected by the quality characteristic in the first stage. Using fuzzy random variable which includes two kinds of uncertainty randomness and fuzziness simultaneously is considered. We proposed fuzzy Shewhart cause-selecting control chart and fuzzy exponentially weighted moving average (EWMA) cause-selecting control chart to detect different magnitudes of shift in the process parameters in phase II analysis. The performance of the proposed methods is evaluated by simulation in terms of average run length (ARL) criterion. Finally, a numerical example is given to show the application of the proposed methods step by step.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117316283","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":"Hawk-dove game study on green railway alignment selection","authors":"Guang-Zhao Zhou, Xiaoping Wu","doi":"10.1504/IJADS.2017.10006716","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10006716","url":null,"abstract":"In this study, we set asymmetric logical frames to simulate the collaborative process, and assume that the two given environmental factors are players. Given the equal strength of the players in the natural state, it is clear that the classical hawk-dove game model does not consider the strength of both sides. Hence, we continue to develop models based on the classical model, considering the effects of asymmetric interaction. Similarly, in model analysis, we introduce value engineering theory to simplify the model. The suitability of the model design is verified through computer simulations. Simulation graphics show that the probability of cooperation between two sides increases with the difference in strength between the two sides. In addition, the lower the unit value of conflict, the higher is the probability of cooperation. In this strategic direction, we can avoid the application and disoriented development of a wide variety of technology strategies.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801713","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":"Short-term traffic flow prediction based on optimised support vector regression","authors":"Yang Xu, Da-wei Hu, Bing Su","doi":"10.1504/IJADS.2017.10005300","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10005300","url":null,"abstract":"In order to provide accurate and reliable prediction of short-term traffic flow to realise intelligent transportation control, support vector machine (SVM) regression method is established to predict short-term traffic flow. Then, parameter selection optimisation model for SVM is studied. Support vector penalty coefficient and the parameters of the kernel function play an important role in learning precision and generalisation ability of regression model. So, a kind of improved artificial fish swarm algorithm is used to optimise the SVM regression to select the optimal parameters. The experiment results show that the proposed scheme can effectively reduce mean absolute percentage error and mean square error in the real traffic flow forecasting. The proposed scheme can improve the prediction precision of the short-term traffic flow.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116845498","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":"Approach for three-parameter interval grey linguistic variable decision-making based on fuzzy integral and Mobius transformation","authors":"Baojun Sun, Cunbin Li, Jiahang Yuan","doi":"10.1504/IJADS.2017.10006579","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10006579","url":null,"abstract":"This paper presents the concept of three-parameter interval grey linguistic variable, which combines three-parameter interval grey numbers with grey linguistic variables. Firstly, basic definitions and new laws are given. Secondly, considering the attributes interdependency, this paper utilises the fuzzy integral theory to construct a grey fuzzy integral correlation degree decision-making model under three-parameter interval grey linguistic variable environment. To solve this model, the Mobius transformation coefficients based on weights and interaction degrees are defined to calculate two-order additive fuzzy measures. Then the maximum projection models are used to calculate the weights, and the interaction relations and interaction degrees are determined by decision makers. Subsequently, the grey fuzzy integral correlation degrees of alternatives are calculated by precise function transformation, grey correlation degree and fuzzy measures. At last, an illustrative example has been taken to demonstrate the validity and feasibility of the proposed method.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134151915","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":"Production portfolio optimisation under uncertainty: threats of emissions trading","authors":"F. Zapletal","doi":"10.1504/IJADS.2017.10004224","DOIUrl":"https://doi.org/10.1504/IJADS.2017.10004224","url":null,"abstract":"This study is devoted to profit margin maximisation of heavy industrial companies in Europe which are under the economic and environmental pressure caused by Emissions Trading Scheme (EU ETS). The aim of the study is to use an optimisation model maximising a company's total profit margin under uncertainty related to the duty of CO2 emissions trading in order to assess possible threats and impact of emissions trading. Two main factors, which are considered to be uncertain, are the prices of the emission permits and the demand for products of the company. Since the uncertainty is involved in the model, the fuzzy optimisation (level sets approach) is used to face it. The calibration of the model is done using real dataset of a European steel company. Based on the results of the verification, a potential impact of emissions trading on companies, their profit and sustainability, has been discovered.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123069526","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}