Pub Date : 2016-12-01DOI: 10.1109/IEEM.2016.7798087
Y. Ma, X. Wu
Priority analysis of critical factors and comprehensive evaluation of different development alternatives are very important for construction and improvement of national air traffic management system (ATMS). This paper presents a hybrid model that decomposes the evaluation problem into two levels. In the upper-level, an analytic network process (ANP) is given to evaluate the importance values of critical factors in ATMS. In the low level, the utility values of alternatives under each factor are estimated by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). In order to derive global scores of ATMS alternatives, a simplified synthesis process is provided. Finally, a numerical example is given for illustration.
关键因素的优先性分析和不同发展方案的综合评价对国家空中交通管理系统的建设和完善具有重要意义。本文提出了一个将评价问题分解为两个层次的混合模型。在上层,给出了一个分析网络过程(ANP)来评估ATMS中关键因素的重要值。在低层次上,利用TOPSIS (Order Preference Technique of Similarity to an Ideal Solution)来估计各因素下备选方案的效用值。为了得到ATMS备选方案的全局分数,给出了一个简化的综合过程。最后给出了一个数值算例。
{"title":"Evaluation of air traffic management system using a hybrid model","authors":"Y. Ma, X. Wu","doi":"10.1109/IEEM.2016.7798087","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798087","url":null,"abstract":"Priority analysis of critical factors and comprehensive evaluation of different development alternatives are very important for construction and improvement of national air traffic management system (ATMS). This paper presents a hybrid model that decomposes the evaluation problem into two levels. In the upper-level, an analytic network process (ANP) is given to evaluate the importance values of critical factors in ATMS. In the low level, the utility values of alternatives under each factor are estimated by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). In order to derive global scores of ATMS alternatives, a simplified synthesis process is provided. Finally, a numerical example is given for illustration.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133318301","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: 10.1109/IEEM.2016.7797995
D. Singh, R. Sharma
In this paper, we argue that cost leader supply chain (or Defender SC) has more finance and production related integration; whereas differentiator supply chain (or Prospector supply chain) has more marketing and R & D related supply chain integration. If supply chain members have similar strategies and strategic decision making processes, it leads to better supply chain integration. We also relate different dimensions of culture to the extent of supply chain integration achieved.
{"title":"Relating supply chain integration with the culture and strategy of its constitutent members: A theoretical framework","authors":"D. Singh, R. Sharma","doi":"10.1109/IEEM.2016.7797995","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797995","url":null,"abstract":"In this paper, we argue that cost leader supply chain (or Defender SC) has more finance and production related integration; whereas differentiator supply chain (or Prospector supply chain) has more marketing and R & D related supply chain integration. If supply chain members have similar strategies and strategic decision making processes, it leads to better supply chain integration. We also relate different dimensions of culture to the extent of supply chain integration achieved.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132453915","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: 10.1109/IEEM.2016.7797976
K. Ng, C. K. M. Lee
Due to the increase in air transportation demand, runway capacity is reaching a bottleneck at the international airports, especially during peak hours. Managing on aircraft sequencing or sequencing problems in airport perspective have become a crucial operation nowadays in order to maintain safety landing and utilize the runway facility to handle the schedules for all incoming aircraft under congestion. The traditional approach allows aircraft to remain an economic speed during approaching to the airport. However, such approach may not be applicable in congested air traffic situation. Therefore, the makespan minimization is more practical for the rescheduling efforts afterwards. This article presents a modified artificial bee colony algorithm to obtain nearly optimal solution to support the air tower controller in order to obtain last-minute decisions of landing sequence. The modified artificial bee colony algorithm for aircraft landing problem provides a promising optimal search within 6.1 seconds to handle last-minute disruption.
{"title":"Makespan minimization in aircraft landing problem under congested traffic situation using modified artificial bee colony algorithm","authors":"K. Ng, C. K. M. Lee","doi":"10.1109/IEEM.2016.7797976","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797976","url":null,"abstract":"Due to the increase in air transportation demand, runway capacity is reaching a bottleneck at the international airports, especially during peak hours. Managing on aircraft sequencing or sequencing problems in airport perspective have become a crucial operation nowadays in order to maintain safety landing and utilize the runway facility to handle the schedules for all incoming aircraft under congestion. The traditional approach allows aircraft to remain an economic speed during approaching to the airport. However, such approach may not be applicable in congested air traffic situation. Therefore, the makespan minimization is more practical for the rescheduling efforts afterwards. This article presents a modified artificial bee colony algorithm to obtain nearly optimal solution to support the air tower controller in order to obtain last-minute decisions of landing sequence. The modified artificial bee colony algorithm for aircraft landing problem provides a promising optimal search within 6.1 seconds to handle last-minute disruption.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131460897","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: 10.1109/IEEM.2016.7797958
Ying Guo, Ganlu Sun, Ying Huang, Yun Fu, Y. Qian
As innovation becomes important and complex, researchers started to explore innovation process under the background of Big Data. Technology Delivery System (TDS), a systematic method dynamically showing innovation process, has caused the extensive concern worldwide. As an essential step to construct TDS better, this study aims to identify main delivery actors in TDS based on multi-data sources, then analyze the delivery relationships between actors and evaluate various actors' delivery capacity. We hope to improve current technology management and opportunity identification for complex innovations. Firstly, we divide TDS into four phases and apply different matched data sources to identify actors in corresponding phases. Secondly, we try to find technology relationships between actors. Finally, we conduct three indicators to calculate delivery capacity of main actors. With the development of intelligent manufacturing, we choose its new mode, Cloud Manufacturing in China, as a case to verify the feasibility of the approach.
{"title":"Study on main delivery actors in Technology Delivery System (TDS) based on multi-data sources","authors":"Ying Guo, Ganlu Sun, Ying Huang, Yun Fu, Y. Qian","doi":"10.1109/IEEM.2016.7797958","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797958","url":null,"abstract":"As innovation becomes important and complex, researchers started to explore innovation process under the background of Big Data. Technology Delivery System (TDS), a systematic method dynamically showing innovation process, has caused the extensive concern worldwide. As an essential step to construct TDS better, this study aims to identify main delivery actors in TDS based on multi-data sources, then analyze the delivery relationships between actors and evaluate various actors' delivery capacity. We hope to improve current technology management and opportunity identification for complex innovations. Firstly, we divide TDS into four phases and apply different matched data sources to identify actors in corresponding phases. Secondly, we try to find technology relationships between actors. Finally, we conduct three indicators to calculate delivery capacity of main actors. With the development of intelligent manufacturing, we choose its new mode, Cloud Manufacturing in China, as a case to verify the feasibility of the approach.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127800118","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: 10.1109/IEEM.2016.7798137
G. Schuh, M. Riesener, C. Ortlieb, J. Koch
The trend of product individualization results in a growing product variety while at the same time the globalized competition forces companies to react on the severe cost rivalry. An increasing number of companies develop new or adapt existing modular product platforms for their product portfolio as an approach in order to tackle these challenges. The structure of modular platforms thereby plays a fundamental role for the efficiency of product realization and hence the profit for the company. Customer requirements, their functional realizations as well as technical solutions must be analyzed for portfolio products to provide a good overview of potential modular platform candidates. Using data analytics in the early planning stages supports the process of gaining transparency, understanding how product attributes are related and generates important knowledge for the following stages of modular platform development. A comprehensive approach helps to optimize the scope of modular platforms and shows the allocation of suitable product candidates for the modularization process based on decisive criterions.
{"title":"Identification of modular platform potential in complex product portfolios using data analytics","authors":"G. Schuh, M. Riesener, C. Ortlieb, J. Koch","doi":"10.1109/IEEM.2016.7798137","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798137","url":null,"abstract":"The trend of product individualization results in a growing product variety while at the same time the globalized competition forces companies to react on the severe cost rivalry. An increasing number of companies develop new or adapt existing modular product platforms for their product portfolio as an approach in order to tackle these challenges. The structure of modular platforms thereby plays a fundamental role for the efficiency of product realization and hence the profit for the company. Customer requirements, their functional realizations as well as technical solutions must be analyzed for portfolio products to provide a good overview of potential modular platform candidates. Using data analytics in the early planning stages supports the process of gaining transparency, understanding how product attributes are related and generates important knowledge for the following stages of modular platform development. A comprehensive approach helps to optimize the scope of modular platforms and shows the allocation of suitable product candidates for the modularization process based on decisive criterions.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115798993","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: 10.1109/IEEM.2016.7797858
N. Rooplall, A. Marnewick, J. Pretorius
Graduate engineers in South Africa are expected to operate as professional engineers within a timeframe of approximately 3 years after graduation; however they do not achieve this. It is vital that engineers are able to operate at the expected levels of a professional engineer in the required time to promote the growth of the engineering sector. An industry survey was used to investigate the trends why professional registration is not obtained within time. It was confirmed that engineers do not achieve professional registration within the required time. Secondly it was highlighted that they do not always operate at the expected levels of responsibility in the workplace as suggested by literature. Ensuring that engineers operate at the suggested levels of responsibility could further assist them in obtaining professional registration within the required time. The research identified self-development and training needs of engineers in South Africa to enable registration within required time.
{"title":"Trends preventing engineers from obtaining professional registration with ECSA in the required time","authors":"N. Rooplall, A. Marnewick, J. Pretorius","doi":"10.1109/IEEM.2016.7797858","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797858","url":null,"abstract":"Graduate engineers in South Africa are expected to operate as professional engineers within a timeframe of approximately 3 years after graduation; however they do not achieve this. It is vital that engineers are able to operate at the expected levels of a professional engineer in the required time to promote the growth of the engineering sector. An industry survey was used to investigate the trends why professional registration is not obtained within time. It was confirmed that engineers do not achieve professional registration within the required time. Secondly it was highlighted that they do not always operate at the expected levels of responsibility in the workplace as suggested by literature. Ensuring that engineers operate at the suggested levels of responsibility could further assist them in obtaining professional registration within the required time. The research identified self-development and training needs of engineers in South Africa to enable registration within required time.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115799637","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: 10.1109/IEEM.2016.7797862
S. Solms, W. S. Hurter, Johan Meyer
Problem-based learning has proven to develop teamwork, problem solving skills, communication and critical thinking skills amongst learners. Due to these advantages, secondary schools in South Africa engage with problem-based events to promote the participation of learners in Science, Technology, Engineering and Mathematics (STEM). However, many schools face lack of time, lack of available funds and lack of the required technical skill set, which limits them from participating in these events. The Car-In-a-Box concept was developed to broaden access to a STEM problem-based learning event, called the Shell Eco-Marathon. The Car-In-A-Box concept addresses the three challenges that would normally prevent a school from entering the Shell Eco-Marathon, disenabling learners to harness the advantages of problem-based learning. The impact of the Car-In-A-Box concept for broadening access to problem-based learning is discussed.
{"title":"Broadening access to problem-based learning: Design of the Shell Eco-Marathon Car-In-A-Box concept","authors":"S. Solms, W. S. Hurter, Johan Meyer","doi":"10.1109/IEEM.2016.7797862","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797862","url":null,"abstract":"Problem-based learning has proven to develop teamwork, problem solving skills, communication and critical thinking skills amongst learners. Due to these advantages, secondary schools in South Africa engage with problem-based events to promote the participation of learners in Science, Technology, Engineering and Mathematics (STEM). However, many schools face lack of time, lack of available funds and lack of the required technical skill set, which limits them from participating in these events. The Car-In-a-Box concept was developed to broaden access to a STEM problem-based learning event, called the Shell Eco-Marathon. The Car-In-A-Box concept addresses the three challenges that would normally prevent a school from entering the Shell Eco-Marathon, disenabling learners to harness the advantages of problem-based learning. The impact of the Car-In-A-Box concept for broadening access to problem-based learning is discussed.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801411","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: 10.1109/IEEM.2016.7798033
D. B. Karanjule, S. Bhamare, T. H. Rao
Inelastic recovery behavior of seamless tubes has been investigated by uniaxial tensile tests. Unloading stress-strain curves for different plastic strain reveals that the percentage of inelastic recovery to the total recovery increases with plastic deformation. The results of this study concludes that with increase in plastic strain, Young's modulus reduces drastically first then reduces somewhat slowly and finally stables to certain value. It is observed that this variation of Young's modulus is related to internal stresses, residual stresses, micro cracks, dislocations during plastic deformation. With increase in plastic deformation, residual stresses increases which lowers Young's modulus. This paper is an experimental study how Young's modulus decreases with plastic strain. The results of study concludes that 10-20% degradation occurs in Young's modulus for 5-7% plastic strain.
{"title":"Variation of elastic modulus during cold drawing of seamless tubes and it's influence on springback","authors":"D. B. Karanjule, S. Bhamare, T. H. Rao","doi":"10.1109/IEEM.2016.7798033","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798033","url":null,"abstract":"Inelastic recovery behavior of seamless tubes has been investigated by uniaxial tensile tests. Unloading stress-strain curves for different plastic strain reveals that the percentage of inelastic recovery to the total recovery increases with plastic deformation. The results of this study concludes that with increase in plastic strain, Young's modulus reduces drastically first then reduces somewhat slowly and finally stables to certain value. It is observed that this variation of Young's modulus is related to internal stresses, residual stresses, micro cracks, dislocations during plastic deformation. With increase in plastic deformation, residual stresses increases which lowers Young's modulus. This paper is an experimental study how Young's modulus decreases with plastic strain. The results of study concludes that 10-20% degradation occurs in Young's modulus for 5-7% plastic strain.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123902187","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: 10.1109/IEEM.2016.7798054
J. Majava, V. Isoherranen
Excellence in product development results from integrating various stakeholders' requirements into a winning offering. Customer care has become increasingly important, as digitalization enables new business models and revenue streams for companies. The integration of care requirements must be enabled in the product development (PD) process beginning in the early concepting and development phases in order to ensure an excellent care experience. The traditional elements of care-spare parts, service tools, and support-must be coupled with advanced software update capabilities. Future cutting-edge products demand new self-support and repair capabilities that are enabled by the digitalization of care assets and low-cost distribution platforms. This study examines a case company's attempt (Nokia)to integrate the care dimension into its PD process-a topic that has not been widely addressed thus far. The findings show that a company can seamlessly integrate care requirements into a PD process already in the product concepting phase.
{"title":"Excellence in integrating care into the product development process: A case study of Nokia","authors":"J. Majava, V. Isoherranen","doi":"10.1109/IEEM.2016.7798054","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798054","url":null,"abstract":"Excellence in product development results from integrating various stakeholders' requirements into a winning offering. Customer care has become increasingly important, as digitalization enables new business models and revenue streams for companies. The integration of care requirements must be enabled in the product development (PD) process beginning in the early concepting and development phases in order to ensure an excellent care experience. The traditional elements of care-spare parts, service tools, and support-must be coupled with advanced software update capabilities. Future cutting-edge products demand new self-support and repair capabilities that are enabled by the digitalization of care assets and low-cost distribution platforms. This study examines a case company's attempt (Nokia)to integrate the care dimension into its PD process-a topic that has not been widely addressed thus far. The findings show that a company can seamlessly integrate care requirements into a PD process already in the product concepting phase.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124529383","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: 10.1109/IEEM.2016.7797831
N. Trautmann, Mario Gnagi
Since the 2010 version, the Solver Add-in of Microsoft Excel comprises the so-called Evolutionary Solver. The application of this Solver to a combinatorial optimization problem requires a spreadsheet which determines the objective function value corresponding to given values for the decision variables. This paper refers to the resource-constrained project-scheduling problem; we study how to implement the parallel schedule-generation scheme on a spreadsheet. We compare the performance against the serial schedule-generation scheme based on the j30 PSPLIB test set. It turns out that the CPU time required for scheduling an activity is considerably lower in the parallel than in the serial schedule-generation scheme; as a consequence, more schedules can be analyzed within a prescribed amount of time. For the novel implementation of the parallel scheme, the average deviation from the minimum makespan is considerably smaller than for the serial scheme, and the number of instances solved to optimality is surprisingly high.
{"title":"An implementation of the parallel schedule-generation scheme for applying Microsoft Excel's Evolutionary Solver to the resource-constrained project scheduling problem RCPSP","authors":"N. Trautmann, Mario Gnagi","doi":"10.1109/IEEM.2016.7797831","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797831","url":null,"abstract":"Since the 2010 version, the Solver Add-in of Microsoft Excel comprises the so-called Evolutionary Solver. The application of this Solver to a combinatorial optimization problem requires a spreadsheet which determines the objective function value corresponding to given values for the decision variables. This paper refers to the resource-constrained project-scheduling problem; we study how to implement the parallel schedule-generation scheme on a spreadsheet. We compare the performance against the serial schedule-generation scheme based on the j30 PSPLIB test set. It turns out that the CPU time required for scheduling an activity is considerably lower in the parallel than in the serial schedule-generation scheme; as a consequence, more schedules can be analyzed within a prescribed amount of time. For the novel implementation of the parallel scheme, the average deviation from the minimum makespan is considerably smaller than for the serial scheme, and the number of instances solved to optimality is surprisingly high.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114407850","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}