2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)最新文献_第5页

Solving Profit Maximization Problem in Case of the Cobb-Douglas Production Function via Weighted AG Inequality and Geometric Programming 利用加权AG不等式和几何规划求解Cobb-Douglas生产函数的利润最大化问题

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607446

V. Kojić, Zrinka Lukač

{"title":"Solving Profit Maximization Problem in Case of the Cobb-Douglas Production Function via Weighted AG Inequality and Geometric Programming","authors":"V. Kojić, Zrinka Lukač","doi":"10.1109/IEEM.2018.8607446","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607446","url":null,"abstract":"The long-run profit maximization is a standard and important problem having significant implications on a firm’s competitiveness. The common approach is to consider the profit maximization problem for production function with two inputs and use calculus to solve it. However, checking the necessary and sufficient conditions in case of more than two inputs can be difficult. Geometric programming provides a way to solve that problem for any number of inputs without the use of derivatives. Hereby the results are obtained much faster and the solution procedure is more elegant then when using calculus. Liu used the technique of signomial geometric programming to solve the problem in case of the Cobb-Douglas production function with two inputs. However, he was unable to prove that the result obtained is indeed the global maximum. Therefore, in this paper we solve the problem in question by using the weighted arithmetic-geometric inequality (WAG) in case of one input and some transformations of geometric programming in case of two or more inputs and prove that the result obtained is indeed the global optimum.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522765","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}

引用次数: 3

Visualize Organizational Perception of Core Value in the Company: An Experiment Employing Multi-dimensional Scaling and the Competing Value Framework 企业核心价值组织感知的可视化:多维尺度与竞争价值框架实验

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607512

S. Nagayoshi, J. Nakamura

引用次数: 0

Dealing with Aging and Multigeneration Workforce Topics at Top Global Companies: Evidence from Public Disclosure Information 应对全球大公司的老龄化和多代劳动力问题:来自公开披露信息的证据

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607718

H. Castellucci, P. Arezes, M. Lavallière, N. Costa, Olivia DaDalt, J. Coughlin

引用次数: 1

Multiply-connected Neuro PID Control 多路连接神经PID控制

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607613

Kun-Young Han, Hee-Hyol Lee

引用次数: 0

Government Subsidy, Industry-university-research Collaborative Innovation and Resources Allocation Efficiency 政府补贴、产学研协同创新与资源配置效率

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607297

Miaoquan Li, Yuan-geng Huang

引用次数: 1

Support Reuse and Maintenance of Design Information in a Development Process of Custom Engineered Product 在定制工程产品的开发过程中支持设计信息的重用和维护

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607661

M. Poorkiany, J. Johansson, F. Elgh

引用次数: 0

Reengineering of Factory Planning Process for the Realization of Digital Factory 4.0 实现数字化工厂4.0的工厂规划流程再造

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607634

U. Dombrowski, A. Karl, Alexander Reiswich

{"title":"Reengineering of Factory Planning Process for the Realization of Digital Factory 4.0","authors":"U. Dombrowski, A. Karl, Alexander Reiswich","doi":"10.1109/IEEM.2018.8607634","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607634","url":null,"abstract":"In order to be competitive on the market as a company, entrepreneurial processes must be constantly adapted to new requirements. An important factor for competitiveness is the targeted design of the factory. Factory planning must identify future requirements for the entire factory at an early stage and transfer them to a suitable factory structure. If this does not happen, the ability of companies to change will be restricted. In order to counter this risk, the digital factory with its digital tools and methods provides a solid basis for assisting planners with the design and realizing the required goals for the factory. Using modern digital assistance systems in factory planning, relevant planning restrictions can be identified and the planning status can be visualized and validated. It is unclear what effects the new requirements and in some cases disruptive changes will have on the classic factory planning process. This article discusses the use of business process modeling to identify, model, analyze and adapt classic factory planning processes. The goal is to generate futureproof factory planning processes. These form the basis for adapting classic tools and methods at the digital factory to the new processes. The digital factory 4.0 is created.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116910924","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}

引用次数: 4

Research on Service Industry Network Structure based on Social Network Analysis 基于社会网络分析的服务业网络结构研究

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607731

Xuedong Liang, Yangjingjing Zhang, Yue Lu, Canmian Liu

引用次数: 0

Development of a Methodology to Design Product Portfolios in Accordance to Corporate Goals Using an Evolutionary Algorithm 基于进化算法的产品组合设计方法的发展

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607559

M. Riesener, C. Dölle, Lukas Schmitt, Merle-Hendrikje Jank

引用次数: 2

Robust Periodic Vehicle Routing Problem with Service Time Uncertainty 具有服务时间不确定性的鲁棒周期车辆路径问题

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI: 10.1109/IEEM.2018.8607564

Mingyao Qi, Wangqi Xiong, Qingte Zhou, Shijia Hua

{"title":"Robust Periodic Vehicle Routing Problem with Service Time Uncertainty","authors":"Mingyao Qi, Wangqi Xiong, Qingte Zhou, Shijia Hua","doi":"10.1109/IEEM.2018.8607564","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607564","url":null,"abstract":"The periodic vehicle routing problem (PVRP) has wide applications, such as express service, elevator maintenance and urban waste collection, where customers expect fast response and small delays. The existence of uncertainty has significant influence on the cost and customer experience. Therefore, it is crucial to build routes that would be less sensitive to uncertainty. In the paper, we research on the PVRP with service time uncertainty, while no robust optimization for PVRP has been studied before. Each request for service will include an uncertain service time and a deadline for the start of service. We propose the robust model of PVRP with service time uncertainty whose objective is to minimize the overall cost including travel cost, customer's waiting cost and technician's overtime cost. Due to the complexity of the problem, we design a variable neighborhood search algorithm based on worst case to solve it. Numerical experiments prove that: 1) the robust solution has a sufficient immunity against the service time uncertainty; 2) a large uncertainty set parameters might lead to overly conservative robust solution with higher cost.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126111940","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}

引用次数: 1