Pub Date : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985598
Feng-Cheng Yang
The game scheduling regulations of the National Basketball Association (NBA) are discussed and scheduling for it is formulated as a complex traveling tournament problem and referred to as the NBA scheduling problem (NBASP). Benchmarks for the problem were depicted from previous official schedules and organized as formatted files for researchers. Although, reducing the travel length is the goal of the problem, valuation indices: counts of back-to-back games, four-games-in-five-days, and weekend games were reported in the benchmark. A genetic algorithm (GA)-based method is proposed for solving the NBASP, in which a dedicated encoding scheme and decoding procedure were designed to obtain feasible schedules. A tailored population initialization procedure was used to reduce infeasible initial solutions and cost-estimated heuristic mutation operation was employed to effectively accelerate the generation of superior schedules in the simulated genetic evolution of an optimum solution. The 2014-2015 benchmarks of the NBA schedule was used in testing and results showed a reduction the travel length by up to 14%. Moreover, the non-preferable indices for players were also reduced.
{"title":"NBA Sports Game Scheduling Problem and GA-Based Solver","authors":"Feng-Cheng Yang","doi":"10.1109/ICIMSA.2017.7985598","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985598","url":null,"abstract":"The game scheduling regulations of the National Basketball Association (NBA) are discussed and scheduling for it is formulated as a complex traveling tournament problem and referred to as the NBA scheduling problem (NBASP). Benchmarks for the problem were depicted from previous official schedules and organized as formatted files for researchers. Although, reducing the travel length is the goal of the problem, valuation indices: counts of back-to-back games, four-games-in-five-days, and weekend games were reported in the benchmark. A genetic algorithm (GA)-based method is proposed for solving the NBASP, in which a dedicated encoding scheme and decoding procedure were designed to obtain feasible schedules. A tailored population initialization procedure was used to reduce infeasible initial solutions and cost-estimated heuristic mutation operation was employed to effectively accelerate the generation of superior schedules in the simulated genetic evolution of an optimum solution. The 2014-2015 benchmarks of the NBA schedule was used in testing and results showed a reduction the travel length by up to 14%. Moreover, the non-preferable indices for players were also reduced.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127660434","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985592
H. Hinz
Lithium-ion batteries are well known in numerous commercial applications. Meanwhile rechargeable lithium-ion batteries are the standard electrochemical storage devices in the low power range of portable electronics. Furthermore in the last years this technology is becoming more important also in the higher power range in renewable energy generation. In particular electrochemical storage plays a critical role in the expansion of renewables in the electricity market. This paper describes the integration of a lithium-ion battery in a hybrid power generation which comprises a cogeneration and a photovoltaic plant. The focus of this study is on the investigations on the performance, modeling and validation of the used battery pack.
{"title":"Investigations on Lithium-Ion Batteries for Power Generation Applications","authors":"H. Hinz","doi":"10.1109/ICIMSA.2017.7985592","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985592","url":null,"abstract":"Lithium-ion batteries are well known in numerous commercial applications. Meanwhile rechargeable lithium-ion batteries are the standard electrochemical storage devices in the low power range of portable electronics. Furthermore in the last years this technology is becoming more important also in the higher power range in renewable energy generation. In particular electrochemical storage plays a critical role in the expansion of renewables in the electricity market. This paper describes the integration of a lithium-ion battery in a hybrid power generation which comprises a cogeneration and a photovoltaic plant. The focus of this study is on the investigations on the performance, modeling and validation of the used battery pack.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134354723","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985597
Yi-Lang Chen, Shih-Kai Hsu, Yin-Sheng Ou
This case study preliminarily collected 60 Nordic Musculoskeletal Questionnaire (NMQ) data of workers from handmade drinks stores to understand their discomforts on various body sites. The NMQ results indicate that the overall prevalence of musculoskel-etal disorders was 88.0% within 1-year. In terms of discomfort, 66.4% of the respondents experienced discomfort at hands/wrists, followed by lower back/waist (41.5%), knees (38.2%), and shoulders (36.5%). The discomfort level of hands/wrists was significantly affected by the gender (female) and the weekly work days (> 5 days). The impact on the knees was the age (≤ 22 yrs) and the rest time arrangement (no), and the impact on the shoulders included the job tenure (> 2 yrs), the daily work hours (> 6 hrs), and the daily shaking cups (> 100 cups). The findings of this study can be served as references for the prevention from the musculoskeletal disorders resulting from the drinks handmade task.
{"title":"Musculoskeletal Disorders of the Handmade Drinks Workers: A Case Report","authors":"Yi-Lang Chen, Shih-Kai Hsu, Yin-Sheng Ou","doi":"10.1109/ICIMSA.2017.7985597","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985597","url":null,"abstract":"This case study preliminarily collected 60 Nordic Musculoskeletal Questionnaire (NMQ) data of workers from handmade drinks stores to understand their discomforts on various body sites. The NMQ results indicate that the overall prevalence of musculoskel-etal disorders was 88.0% within 1-year. In terms of discomfort, 66.4% of the respondents experienced discomfort at hands/wrists, followed by lower back/waist (41.5%), knees (38.2%), and shoulders (36.5%). The discomfort level of hands/wrists was significantly affected by the gender (female) and the weekly work days (> 5 days). The impact on the knees was the age (≤ 22 yrs) and the rest time arrangement (no), and the impact on the shoulders included the job tenure (> 2 yrs), the daily work hours (> 6 hrs), and the daily shaking cups (> 100 cups). The findings of this study can be served as references for the prevention from the musculoskeletal disorders resulting from the drinks handmade task.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132921022","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985614
Guo Chen, A. Chiou, Ying-Yuan Chen, Ssu-Han Chen
Sequence data are sometimes rare, non-linear and non-normal, the models form grey theory are just suitable for this kind of scenario. An generalized version of originally GM(1,1) is described that takes power exponent, smoothing factor, initial condition and residual modification into account. In order to alleviate the tediousness of manual parameter selection and the problem of over- fitting in training stage, we then conduct the parameter optimization and parameter screening using genetic algorithm (GA) and 2k factorial design, respectively. The above model does not deviate from the idea of simplicity in grey theory. The experiments suggest that the high- precision of proposed method is able to improve the effectiveness of prediction.
{"title":"Time Series Forecasting Using the Generalized NGBM (1,1)","authors":"Guo Chen, A. Chiou, Ying-Yuan Chen, Ssu-Han Chen","doi":"10.1109/ICIMSA.2017.7985614","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985614","url":null,"abstract":"Sequence data are sometimes rare, non-linear and non-normal, the models form grey theory are just suitable for this kind of scenario. An generalized version of originally GM(1,1) is described that takes power exponent, smoothing factor, initial condition and residual modification into account. In order to alleviate the tediousness of manual parameter selection and the problem of over- fitting in training stage, we then conduct the parameter optimization and parameter screening using genetic algorithm (GA) and 2k factorial design, respectively. The above model does not deviate from the idea of simplicity in grey theory. The experiments suggest that the high- precision of proposed method is able to improve the effectiveness of prediction.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130460097","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985589
Seow Chian Ng, Nor Aziati Abdul Hamid, S. Mohd Yusof
In view of the global environmental concerns, Malaysian government has been making concerted effort to advocate environment protection. Manufacturing sector has been reported to be one of the main causes of pollution, thus, government introduces several policies and incentives to urge green operations various industry. The main objective of this study is to identify factors that has positive effect towards green manufacturing performance of automobile industry. Based on the underlying technological, organisational, environmental (TOE) theory, a culture and human capital domain has been added into the theory to have a comprehensive view on external and internal factors. By extensive literature review of green practices within automotive industry, ten factors were identified and categorized accordingly. Results of the study is expected to be essential for Malaysia automobile industry to implement green manufacturing operations more effectively and efficiently. Additionally, insight acquired may assist government agencies to outline green manufacturing policies and guideline. Identified factors will be further investigated to establish a green manufacturing evaluation model.
{"title":"Green Manufacturing Performance Measure for Automobile Manufacturers","authors":"Seow Chian Ng, Nor Aziati Abdul Hamid, S. Mohd Yusof","doi":"10.1109/ICIMSA.2017.7985589","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985589","url":null,"abstract":"In view of the global environmental concerns, Malaysian government has been making concerted effort to advocate environment protection. Manufacturing sector has been reported to be one of the main causes of pollution, thus, government introduces several policies and incentives to urge green operations various industry. The main objective of this study is to identify factors that has positive effect towards green manufacturing performance of automobile industry. Based on the underlying technological, organisational, environmental (TOE) theory, a culture and human capital domain has been added into the theory to have a comprehensive view on external and internal factors. By extensive literature review of green practices within automotive industry, ten factors were identified and categorized accordingly. Results of the study is expected to be essential for Malaysia automobile industry to implement green manufacturing operations more effectively and efficiently. Additionally, insight acquired may assist government agencies to outline green manufacturing policies and guideline. Identified factors will be further investigated to establish a green manufacturing evaluation model.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315377","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985602
K. Leerojanaprapa, K. Bhundarak
This article aims to forecast and compare labor demand in textile industry represented by fiber manufacturing companies (ISIC CODE 13111) and in garment industry represented by the manufacturer of work wear (ISIC CODE 14111) in Thailand. Secondary data were acquired from the Department of Industrial Works where registered companies submitted their essential data and obtained the approval permit in doing business during 2015. Complete data from 494 textile companies and 656 garment companies are implemented in Multiple Regression Analysis. This research defined eight independent variables: Land capital (X1), Buildings capital (X2), Machinery capital (X3), Working capital (X4), Factory area (X5), Building area (X6), Horsepower (X7), and Type of manufacturer (X8). The results from the study revealed that 63.09% of labor demand variation for textile manufacturers can be explained by Y = 28.6246 + 0.0180X7 0.0004 X5 + 0.0081X6 + 0.0004X4 0.0002X3 while 51.50% of the labor demand variation for garment manufacturers can be explained by Y = 116.86 + 0.006X2+ 0.004X5 109.748X8 + 0.008X6 + 0.040X7 + 0.001X4.
{"title":"Relationships between Labour Demand and Resource Factors for Textile and Garment Industry in Thailand","authors":"K. Leerojanaprapa, K. Bhundarak","doi":"10.1109/ICIMSA.2017.7985602","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985602","url":null,"abstract":"This article aims to forecast and compare labor demand in textile industry represented by fiber manufacturing companies (ISIC CODE 13111) and in garment industry represented by the manufacturer of work wear (ISIC CODE 14111) in Thailand. Secondary data were acquired from the Department of Industrial Works where registered companies submitted their essential data and obtained the approval permit in doing business during 2015. Complete data from 494 textile companies and 656 garment companies are implemented in Multiple Regression Analysis. This research defined eight independent variables: Land capital (X1), Buildings capital (X2), Machinery capital (X3), Working capital (X4), Factory area (X5), Building area (X6), Horsepower (X7), and Type of manufacturer (X8). The results from the study revealed that 63.09% of labor demand variation for textile manufacturers can be explained by Y = 28.6246 + 0.0180X7 0.0004 X5 + 0.0081X6 + 0.0004X4 0.0002X3 while 51.50% of the labor demand variation for garment manufacturers can be explained by Y = 116.86 + 0.006X2+ 0.004X5 109.748X8 + 0.008X6 + 0.040X7 + 0.001X4.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131142963","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985613
S. Alsaidan, Li Zhang
This study intended to evaluate and prove the significance of vocational knowledge on entrepreneurial intention in university students, with the support of empirical evidence. The study also intended to produce an in-depth understanding of the factors involved in the vocational knowledge that contributes to improving the behavior of individuals. The study employed a quantitative research approach; the data collection method was based on both primary and secondary sources. This study thus provides a detailed understanding of the impact of vocational knowledge (factual, conceptual, procedural, and meta-cognitive knowledge) and its increasing importance over time, along with the drawbacks evident in the acquisition of knowledge in universities. The study findings revealed that collaboration of different kinds of knowledge dimensions, identified in terms of factual, conceptual, procedural, and meta-cognitive knowledge, have a strong impact on the enhancement of entrepreneurial intention of students, as higher knowledge will help to implement better and effective decisions in critical scenarios. In accordance, SPSS, graphs, and charts have been used for analyzing the retrieved data from primary sources.
{"title":"Theory of Vocational Knowledge-Based Entrepreneurial Intentions","authors":"S. Alsaidan, Li Zhang","doi":"10.1109/ICIMSA.2017.7985613","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985613","url":null,"abstract":"This study intended to evaluate and prove the significance of vocational knowledge on entrepreneurial intention in university students, with the support of empirical evidence. The study also intended to produce an in-depth understanding of the factors involved in the vocational knowledge that contributes to improving the behavior of individuals. The study employed a quantitative research approach; the data collection method was based on both primary and secondary sources. This study thus provides a detailed understanding of the impact of vocational knowledge (factual, conceptual, procedural, and meta-cognitive knowledge) and its increasing importance over time, along with the drawbacks evident in the acquisition of knowledge in universities. The study findings revealed that collaboration of different kinds of knowledge dimensions, identified in terms of factual, conceptual, procedural, and meta-cognitive knowledge, have a strong impact on the enhancement of entrepreneurial intention of students, as higher knowledge will help to implement better and effective decisions in critical scenarios. In accordance, SPSS, graphs, and charts have been used for analyzing the retrieved data from primary sources.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762762","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985610
Razaullah Razaullah, I. Hussain, S. Maqsood
As the global warming increases, green supply chain is a practice of great importance to be considered by production and distributing firms. In this paper, an optimization model is developed for a supply chain network with the main objectives to minimize the total cost of the network and pollutants' emission to the environment. Product distribution of a local paper mill with production facilities as supply sources and retailers as demand points is solved optimally. The incorporation of traffic factor on a supply route further broadened the problem. Different pollutants emitting from transportation vehicles and their impacts are presented briefly. A case study is solved to analyze how the model performs with the changing network characteristics. Computational results show that the proposed model performs efficiently for all test problems. Keywords-Green supply chain, network design, optimal solution.
{"title":"The Impact of Supply Chain Network Optimization on Total Cost and Environment","authors":"Razaullah Razaullah, I. Hussain, S. Maqsood","doi":"10.1109/ICIMSA.2017.7985610","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985610","url":null,"abstract":"As the global warming increases, green supply chain is a practice of great importance to be considered by production and distributing firms. In this paper, an optimization model is developed for a supply chain network with the main objectives to minimize the total cost of the network and pollutants' emission to the environment. Product distribution of a local paper mill with production facilities as supply sources and retailers as demand points is solved optimally. The incorporation of traffic factor on a supply route further broadened the problem. Different pollutants emitting from transportation vehicles and their impacts are presented briefly. A case study is solved to analyze how the model performs with the changing network characteristics. Computational results show that the proposed model performs efficiently for all test problems. Keywords-Green supply chain, network design, optimal solution.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133059225","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985616
Chunjin Fan, Y. Juan, Tong-Fang Ni
This study conducted the user research in a Taiwanese senior apartment. The important insights of user needs were identified by examining the views and service experiences from residents and service staff. The research result can be the basis of service innovation and design for senior apartments.
{"title":"User Research for Service Innovation in Senior Apartments: A Case Study in Chang Gung Health and Culture Village","authors":"Chunjin Fan, Y. Juan, Tong-Fang Ni","doi":"10.1109/ICIMSA.2017.7985616","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985616","url":null,"abstract":"This study conducted the user research in a Taiwanese senior apartment. The important insights of user needs were identified by examining the views and service experiences from residents and service staff. The research result can be the basis of service innovation and design for senior apartments.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"10 5 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126121909","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985577
Xiaoxia Huang, Liying Song, Hongqing Song
This paper discusses a multi-depot vehicle routing problem for dispatching vehicles in multi-depots to send relief material to the affected areas in unexpected events. Due to the occurrence of the unexpected events, people's demands in the affected areas and the vehicles' travel times on roads lack historical data and are given by experts' estimations. Uncertain variables are used to describe these parameters. By using uncertainty theory, a multi-depot logistics distribution routing model is developed. To solve the problem, the equivalent of the proposed model is also presented.
{"title":"A Multi-Depot Logistics Distribution Routing Model for Unexpected Events","authors":"Xiaoxia Huang, Liying Song, Hongqing Song","doi":"10.1109/ICIMSA.2017.7985577","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985577","url":null,"abstract":"This paper discusses a multi-depot vehicle routing problem for dispatching vehicles in multi-depots to send relief material to the affected areas in unexpected events. Due to the occurrence of the unexpected events, people's demands in the affected areas and the vehicles' travel times on roads lack historical data and are given by experts' estimations. Uncertain variables are used to describe these parameters. By using uncertainty theory, a multi-depot logistics distribution routing model is developed. To solve the problem, the equivalent of the proposed model is also presented.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116154871","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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