Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461065
G. Jie
Assigning and scheduling vehicle routes in stochastic traffic network is a crucial management problem. Vehicle routing problem (VRP) is a combinational optimization problem, it belongs to the NP-hard problem theoretically. VRP with time windows and capacity constraint in stochastic traffic network was studied considering the state of traffic network changing randomly under the action of external factors. Multi-objective chance-constrained model was established based on the travel time which was expressed as a random variable according to previous collected data, and modified genetic algorithm for the model was proposed to obtain the optimal vehicle routing corresponding to practice. At last, numerical results were provided to demonstrate the feasibility and validity of the proposed model and algorithm.
{"title":"Model and algorithm of vehicle routing problem with time windows in stochastic traffic network","authors":"G. Jie","doi":"10.1109/ICLSIM.2010.5461065","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461065","url":null,"abstract":"Assigning and scheduling vehicle routes in stochastic traffic network is a crucial management problem. Vehicle routing problem (VRP) is a combinational optimization problem, it belongs to the NP-hard problem theoretically. VRP with time windows and capacity constraint in stochastic traffic network was studied considering the state of traffic network changing randomly under the action of external factors. Multi-objective chance-constrained model was established based on the travel time which was expressed as a random variable according to previous collected data, and modified genetic algorithm for the model was proposed to obtain the optimal vehicle routing corresponding to practice. At last, numerical results were provided to demonstrate the feasibility and validity of the proposed model and algorithm.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132208096","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461075
H. Hsiao, Jen-Chia Chang, Y. Yeh, Su-Chang Chen, C. Chou, C. Shen
This study aimed to discuss how to incorporate the concept of customer value and value innovation in life logistics services by case study, and redefined and developed an innovative service business strategy model in life logistic companies. The results provide a business model with three stages (preparation, construct model, and construct strategy). The value innovation of life logistics companies is based on customer-oriented concepts, including three operational directions, which are business operational beliefs, integrated information systems, high-quality service teams and mechanisms. With regard to the promotion of value innovation, a market gap must be recognized first, and after defining its position, a value innovation service model and executive strategy are further constructed. In the innovative process, three key success factors (conceptual innovation, 3C technology, and precise position) should be the bases to fully support and fulfill innovative service, and achieve value innovation.
{"title":"Creation of customer value innovation with refined service: Taking ABC life logistics company in Taiwan as an example","authors":"H. Hsiao, Jen-Chia Chang, Y. Yeh, Su-Chang Chen, C. Chou, C. Shen","doi":"10.1109/ICLSIM.2010.5461075","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461075","url":null,"abstract":"This study aimed to discuss how to incorporate the concept of customer value and value innovation in life logistics services by case study, and redefined and developed an innovative service business strategy model in life logistic companies. The results provide a business model with three stages (preparation, construct model, and construct strategy). The value innovation of life logistics companies is based on customer-oriented concepts, including three operational directions, which are business operational beliefs, integrated information systems, high-quality service teams and mechanisms. With regard to the promotion of value innovation, a market gap must be recognized first, and after defining its position, a value innovation service model and executive strategy are further constructed. In the innovative process, three key success factors (conceptual innovation, 3C technology, and precise position) should be the bases to fully support and fulfill innovative service, and achieve value innovation.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132424264","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461221
Lu Sun, Yan Ma
This article explores the competition relationship between three subjects: suppliers, manufacturers and retailers in light of perceptions of competition and cooperation in game theory. It is structured in two parts. First part is an analysis on a two-tier competition mode between suppliers and retailers; in the second part, suppliers are added therein and three-tier competition mode is established, next the analysis is conducted by categorizing retailers' activities into two kinds: cooperation and competion; As for targeted retailers, which are the main subject for discussion, due to the fact that optional upstream manufacturers are unsame and prices and quantities of products they provide are different, retailers have to determine quantity of goods to purchase according to actual costs. The major intent of this article is to, from the perspective of retailers, via formulating a game mode, through testing of reference data, examine a variety of forms of retailers' copetition under game theory.
{"title":"On cooperation and competition between upstream and downstream companies in supply chain","authors":"Lu Sun, Yan Ma","doi":"10.1109/ICLSIM.2010.5461221","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461221","url":null,"abstract":"This article explores the competition relationship between three subjects: suppliers, manufacturers and retailers in light of perceptions of competition and cooperation in game theory. It is structured in two parts. First part is an analysis on a two-tier competition mode between suppliers and retailers; in the second part, suppliers are added therein and three-tier competition mode is established, next the analysis is conducted by categorizing retailers' activities into two kinds: cooperation and competion; As for targeted retailers, which are the main subject for discussion, due to the fact that optional upstream manufacturers are unsame and prices and quantities of products they provide are different, retailers have to determine quantity of goods to purchase according to actual costs. The major intent of this article is to, from the perspective of retailers, via formulating a game mode, through testing of reference data, examine a variety of forms of retailers' copetition under game theory.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269883","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461367
Li Hong, Wang Yaoqiu
To solve the problem of distributing special resources, such as rescue resources, healthcare resources and military resources etc, a simplex model is proposed based on the item's saturation of resources and total satisfaction of demanders. The advantages and drawbacks of the simplex model are analyzed, and an improved resource allocation model, called one by one model, is proposed for solving the problem of the special resource allocation, in which the demanders' satisfaction is taken as the objective function instead of the commonly used economic benefit. It proves that the one by one model is more reliable for the rescue resource allocation than the linear programming model.
{"title":"An optimized strategy based on demanders' satisfaction for rescue resource allocation","authors":"Li Hong, Wang Yaoqiu","doi":"10.1109/ICLSIM.2010.5461367","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461367","url":null,"abstract":"To solve the problem of distributing special resources, such as rescue resources, healthcare resources and military resources etc, a simplex model is proposed based on the item's saturation of resources and total satisfaction of demanders. The advantages and drawbacks of the simplex model are analyzed, and an improved resource allocation model, called one by one model, is proposed for solving the problem of the special resource allocation, in which the demanders' satisfaction is taken as the objective function instead of the commonly used economic benefit. It proves that the one by one model is more reliable for the rescue resource allocation than the linear programming model.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131571532","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461124
Lingyun Zhou, Wenke Wang, Q. Dai
The regional logistics industry is a very important mainstay industry of the regional economy, and it has an huge effect upon the regional economy development. According to the characteristics of region logistics system, the synergetic development significations of region logistics system are analyzed, and the synergetic development mechanism of regional logistics system is put forward based on the region economy convergency theory in order to effectively adjusting the regional logistics industry structure and accelerating the synergetic evolution of regional logistics system. Moreover, the synergy relation degree model between region logistics system and regional economy is built to find out the order parameter and development rules of region logistics system and guide the regional industry adjustment and economy development.
{"title":"Research on synergetic development mechanism between regional logistics system and regional economy","authors":"Lingyun Zhou, Wenke Wang, Q. Dai","doi":"10.1109/ICLSIM.2010.5461124","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461124","url":null,"abstract":"The regional logistics industry is a very important mainstay industry of the regional economy, and it has an huge effect upon the regional economy development. According to the characteristics of region logistics system, the synergetic development significations of region logistics system are analyzed, and the synergetic development mechanism of regional logistics system is put forward based on the region economy convergency theory in order to effectively adjusting the regional logistics industry structure and accelerating the synergetic evolution of regional logistics system. Moreover, the synergy relation degree model between region logistics system and regional economy is built to find out the order parameter and development rules of region logistics system and guide the regional industry adjustment and economy development.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130976452","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461362
Chunji Li, Min Song, Meng Zheng, Qingling Zhang
This paper considers the problem associated with the stability analysis and stabilization for singular systems with multiple time-varying delays. The delay-dependent stability criterion and the method of designing state feedback stabilization controller are obtained by using Lyapunov second method and LMI techniques. Numerical examples illustrate the efficiency and feasibility of our method.
{"title":"Stability analysis and stabilization for singular systems with multiple time-varying delay","authors":"Chunji Li, Min Song, Meng Zheng, Qingling Zhang","doi":"10.1109/ICLSIM.2010.5461362","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461362","url":null,"abstract":"This paper considers the problem associated with the stability analysis and stabilization for singular systems with multiple time-varying delays. The delay-dependent stability criterion and the method of designing state feedback stabilization controller are obtained by using Lyapunov second method and LMI techniques. Numerical examples illustrate the efficiency and feasibility of our method.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132858172","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461149
Z. Wenhui, L. Xinliang
The ability of Gaussian Process to flexibly and accurately fit arbitrary, even highly nonlinear data sets has lead to considerable interest in their application to many areas. Firstly, the usefulness of Gaussian Process models for application to complex systems metamodeling is proposed. Secondly, several approaches for training Gaussian Process models are examined, which include local optimization algorithm, Genetic Algorithms and Estimation of Distribution Algorithms. The results of these training methods are compared for several example problems, and guidance is provided in GP training methods.
{"title":"Gaussian Process meta-modeling and comparison of GP training methods","authors":"Z. Wenhui, L. Xinliang","doi":"10.1109/ICLSIM.2010.5461149","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461149","url":null,"abstract":"The ability of Gaussian Process to flexibly and accurately fit arbitrary, even highly nonlinear data sets has lead to considerable interest in their application to many areas. Firstly, the usefulness of Gaussian Process models for application to complex systems metamodeling is proposed. Secondly, several approaches for training Gaussian Process models are examined, which include local optimization algorithm, Genetic Algorithms and Estimation of Distribution Algorithms. The results of these training methods are compared for several example problems, and guidance is provided in GP training methods.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134487829","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461213
Zhang Feng, Wei Yun
Distribution, in the rational economy regions, refers to the activities for goods, such as selection, processing, packaging, separation, assembling, according to customer's requirements, and delivering goods to the designated places on time. Through the management of distribution, it can improve distribution efficiency and inventory turns, speed up the circulation of commodities and lower costs. There are so many influencing factors of efficiency in the process of distribution that we need to analyze these influencing factors scenically. In this paper, for the reality prevailing problems in distribution efficiency. We established a model based on the ISM to analysis influencing factors of distribution efficiency. Through the establishment of ISM model, making a conclusion based on the results of experts advices and market survey, then we have the relationship between each factors. Through we analysis adjacency matrix, reachability matrix, reduced matrix, backbone matrix and hierarchical directed graph between the various influencing factors step by step, then we get the surface influencing factors, middle influencing factors and deep-seated influencing factors. Finally, based on factors we derived from the analysis conclusion, we provide some comments and suggestions to distribution companies.
{"title":"Analysis on distribution efficiency influencing factors of supermarket bases on interpretive structural model","authors":"Zhang Feng, Wei Yun","doi":"10.1109/ICLSIM.2010.5461213","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461213","url":null,"abstract":"Distribution, in the rational economy regions, refers to the activities for goods, such as selection, processing, packaging, separation, assembling, according to customer's requirements, and delivering goods to the designated places on time. Through the management of distribution, it can improve distribution efficiency and inventory turns, speed up the circulation of commodities and lower costs. There are so many influencing factors of efficiency in the process of distribution that we need to analyze these influencing factors scenically. In this paper, for the reality prevailing problems in distribution efficiency. We established a model based on the ISM to analysis influencing factors of distribution efficiency. Through the establishment of ISM model, making a conclusion based on the results of experts advices and market survey, then we have the relationship between each factors. Through we analysis adjacency matrix, reachability matrix, reduced matrix, backbone matrix and hierarchical directed graph between the various influencing factors step by step, then we get the surface influencing factors, middle influencing factors and deep-seated influencing factors. Finally, based on factors we derived from the analysis conclusion, we provide some comments and suggestions to distribution companies.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131335039","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461434
Wensheng Wang, Qingyang Zhao
The location of logistics distribution center holds an very important position in the coal enterprise supply logistics system planning, the decision-makers need to consider various factors comprehensively. The traditional location method considers little about the interaction between the indexes during the location process. This paper introduce the principal component analysis (PCA)method in the location of logistics, and use this method to eliminate the interaction of the evaluation indexes, reduce the workload of index selection, then select and evaluate on a number of candidate schemes combine with expert estimation and related evaluation index. Finally, the location of logistics distribution center for M coal enterprise proved the effectiveness of the method.
{"title":"Studies on supply logistics distribution center location based on principal component analysis for coal enterprise","authors":"Wensheng Wang, Qingyang Zhao","doi":"10.1109/ICLSIM.2010.5461434","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461434","url":null,"abstract":"The location of logistics distribution center holds an very important position in the coal enterprise supply logistics system planning, the decision-makers need to consider various factors comprehensively. The traditional location method considers little about the interaction between the indexes during the location process. This paper introduce the principal component analysis (PCA)method in the location of logistics, and use this method to eliminate the interaction of the evaluation indexes, reduce the workload of index selection, then select and evaluate on a number of candidate schemes combine with expert estimation and related evaluation index. Finally, the location of logistics distribution center for M coal enterprise proved the effectiveness of the method.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131663636","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 : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461135
Bai Tianyang
In order to obtain the best location of forest fire emergency system, the function between damage cost and reaction time of the fire station is firstly made. Then to make the expectation of the fire damage least, a multi-spot locating mathematic model based on the relationship function is built. Finally, as the matrix equations in the model are 2 orders, a nonlinear programming algorithm, which is developed from the Lagrange method, is introduced to solve the problem.
{"title":"A nonlinear programming algorithm for location problem on forest fire emergency system","authors":"Bai Tianyang","doi":"10.1109/ICLSIM.2010.5461135","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461135","url":null,"abstract":"In order to obtain the best location of forest fire emergency system, the function between damage cost and reaction time of the fire station is firstly made. Then to make the expectation of the fire damage least, a multi-spot locating mathematic model based on the relationship function is built. Finally, as the matrix equations in the model are 2 orders, a nonlinear programming algorithm, which is developed from the Lagrange method, is introduced to solve the problem.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115518102","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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