Pub Date : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080347
Christina Petschnigg, Stefan Bartscher, J. Pilz
One major challenge towards a fully digital factory is the understanding of complex and dynamic indoor scenes. This knowledge is needed to determine the as-is state in production plants and to set up factory simulations. While in recent years laser scanning and photogrammetry techniques have facilitated the digitalization of factory environments, the actual simulation model generation is to the greatest possible extent still manual work. In this paper we propose a cross-industry simulation model generation framework that takes in raw point clouds from laser scanners and photogrammetry and outputs a simulation model. We present a deep learning architecture based on PointNet [1], which is capable of semantic scene segmentation, and integrate a CAD model placement routine based on unsupervised learning and point cloud registration. We prove the feasibility of our framework by collecting a scan and photogrammetry dataset at a German automotive assembly plant and applying our framework.
{"title":"Point Based Deep Learning to Automate Automotive Assembly Simulation Model Generation with Respect to the Digital Factory","authors":"Christina Petschnigg, Stefan Bartscher, J. Pilz","doi":"10.1109/ICITM48982.2020.9080347","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080347","url":null,"abstract":"One major challenge towards a fully digital factory is the understanding of complex and dynamic indoor scenes. This knowledge is needed to determine the as-is state in production plants and to set up factory simulations. While in recent years laser scanning and photogrammetry techniques have facilitated the digitalization of factory environments, the actual simulation model generation is to the greatest possible extent still manual work. In this paper we propose a cross-industry simulation model generation framework that takes in raw point clouds from laser scanners and photogrammetry and outputs a simulation model. We present a deep learning architecture based on PointNet [1], which is capable of semantic scene segmentation, and integrate a CAD model placement routine based on unsupervised learning and point cloud registration. We prove the feasibility of our framework by collecting a scan and photogrammetry dataset at a German automotive assembly plant and applying our framework.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128875341","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080357
Ting Cai, Gangqing Wang, Zhaoxia Guo
To effectively forecast the construction and demolition waste (C&DW) generation, this paper proposes a hybrid intelligent method, which integrates singular spectrum analysis (SSA), support vector regression (SVR) and long and short-term memory (LSTM) network. The key idea of this method is to use SSA to divide the original time series into trend and fluctuation sub-series, separately perform LSTM and SVR approach, then to combine the forecasts generated from each model. Grid search optimization is further utilized to seek for the optimal parameters of the proposed forecasting model. Experiments are conducted to compare the proposed method and several benchmark approaches. Results show that it is statistically significant that the proposed method can provide much better forecasts than other approaches, indicating that our method can be used as a promising tool for the C&DW generation forecasting.
{"title":"Construction and Demolition Waste Generation Forecasting Using a Hybrid Intelligent Method","authors":"Ting Cai, Gangqing Wang, Zhaoxia Guo","doi":"10.1109/ICITM48982.2020.9080357","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080357","url":null,"abstract":"To effectively forecast the construction and demolition waste (C&DW) generation, this paper proposes a hybrid intelligent method, which integrates singular spectrum analysis (SSA), support vector regression (SVR) and long and short-term memory (LSTM) network. The key idea of this method is to use SSA to divide the original time series into trend and fluctuation sub-series, separately perform LSTM and SVR approach, then to combine the forecasts generated from each model. Grid search optimization is further utilized to seek for the optimal parameters of the proposed forecasting model. Experiments are conducted to compare the proposed method and several benchmark approaches. Results show that it is statistically significant that the proposed method can provide much better forecasts than other approaches, indicating that our method can be used as a promising tool for the C&DW generation forecasting.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131165053","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080404
A. Corallo, Laura Fortunato, A. Spennato, F. Errico, A. Pedone
An important aspect of health monitoring is effective knowledge of food consumed. In this regard, a methodology of analysis is proposed in order to know in advance the food choices of the final consumers. This can give added value to the agricultural productions of the territory and of the farmers, facilitating the direct relationship between agriculture and the final consumer. To build a prediction model, web monitoring and traditional marketing analysis will be performed. The results of analysis can be used to sensitize the consumers towards a greater alimentary awareness, helping to manage of diet-related diseases like obesity, diabetes, and even cardiovascular diseases.
{"title":"Predicting the Consumer's Purchase Intention of Food Products","authors":"A. Corallo, Laura Fortunato, A. Spennato, F. Errico, A. Pedone","doi":"10.1109/ICITM48982.2020.9080404","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080404","url":null,"abstract":"An important aspect of health monitoring is effective knowledge of food consumed. In this regard, a methodology of analysis is proposed in order to know in advance the food choices of the final consumers. This can give added value to the agricultural productions of the territory and of the farmers, facilitating the direct relationship between agriculture and the final consumer. To build a prediction model, web monitoring and traditional marketing analysis will be performed. The results of analysis can be used to sensitize the consumers towards a greater alimentary awareness, helping to manage of diet-related diseases like obesity, diabetes, and even cardiovascular diseases.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129414149","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080351
Xiaoning Ye, Zhiyong Shi, Huijia Yang, Weiguang Fan, Hui-Nan Ye
Facing the challenges from high consumption proportion of new energy and rapid ultra-high voltage line construction, large-scale energy storage could provide reliable support for the receiving-end grid operation. While, the immature market and business model have limited the healthy and stable development of energy storage. Based on the development and operation of large-scale energy storage, this paper analyzes owner's investment mode, operating lease mode and energy management contracting mode three typical business models for large-scale energy storage in the receiving grid, and conducts business model risk identification research from internal and external perspectives. It is expected that the analysis would provide research references for promoting the safe, efficient, economical and reliable market development of the large-scale energy storage in the receiving end grid.
{"title":"Risk Identification of Typical Large-Scale Energy Storage Business Model in China Receiving-End Grid","authors":"Xiaoning Ye, Zhiyong Shi, Huijia Yang, Weiguang Fan, Hui-Nan Ye","doi":"10.1109/ICITM48982.2020.9080351","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080351","url":null,"abstract":"Facing the challenges from high consumption proportion of new energy and rapid ultra-high voltage line construction, large-scale energy storage could provide reliable support for the receiving-end grid operation. While, the immature market and business model have limited the healthy and stable development of energy storage. Based on the development and operation of large-scale energy storage, this paper analyzes owner's investment mode, operating lease mode and energy management contracting mode three typical business models for large-scale energy storage in the receiving grid, and conducts business model risk identification research from internal and external perspectives. It is expected that the analysis would provide research references for promoting the safe, efficient, economical and reliable market development of the large-scale energy storage in the receiving end grid.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133421868","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080386
F. Charrua-Santos, B. Santos, D. V. Enrique, A. Alberto, Henrique Bibete, G. Osório, T. M. Lima
The goal of most companies is to increase the productivity minimizing the resources' usage. In this sense, Lean Production (LP) is one of the major concepts in the creation of highly efficient processes since the early 1990s, having successfully challenged conventional mass-production practices, reducing non-value-added activities, and delivering quality products focused on customers' satisfaction. Nonetheless, with the latest technologies changes and markets requirements, companies have to led with the emergence of innovative management and production methodologies in order to achieve the necessary flexibility to survive in highly competitive environments. The Fourth Industrial Revolution and the related Industry 4.0 technologies are driving the current manufacturing systems to a new level of organizational development. This manuscript focuses on the work that has been developed by the Group of Industrial Engineering and Management (GIEM) from University of Beira Interior, Portugal, aiming to fill the gap in the broad body of knowledge fields related with operation and management. The theoretical background of LP is summarized, followed by a survey conducted in 87 manufacturing companies located in Angola. Then, an Industry 4.0 overview highlights are summarized. Lastly, it is explored how LP and Industry 4.0 integration can contribute to increasing the desirable flexibility and productivity. Although the results are in progress, so far, it is suggested that the implementation of LP and Industry 4.0 concepts in Angola are not being uniformed in terms of companies' size and geography, which is in line with the available literature.
{"title":"An Overview of Lean Production and Industry 4.0 in Different Context","authors":"F. Charrua-Santos, B. Santos, D. V. Enrique, A. Alberto, Henrique Bibete, G. Osório, T. M. Lima","doi":"10.1109/ICITM48982.2020.9080386","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080386","url":null,"abstract":"The goal of most companies is to increase the productivity minimizing the resources' usage. In this sense, Lean Production (LP) is one of the major concepts in the creation of highly efficient processes since the early 1990s, having successfully challenged conventional mass-production practices, reducing non-value-added activities, and delivering quality products focused on customers' satisfaction. Nonetheless, with the latest technologies changes and markets requirements, companies have to led with the emergence of innovative management and production methodologies in order to achieve the necessary flexibility to survive in highly competitive environments. The Fourth Industrial Revolution and the related Industry 4.0 technologies are driving the current manufacturing systems to a new level of organizational development. This manuscript focuses on the work that has been developed by the Group of Industrial Engineering and Management (GIEM) from University of Beira Interior, Portugal, aiming to fill the gap in the broad body of knowledge fields related with operation and management. The theoretical background of LP is summarized, followed by a survey conducted in 87 manufacturing companies located in Angola. Then, an Industry 4.0 overview highlights are summarized. Lastly, it is explored how LP and Industry 4.0 integration can contribute to increasing the desirable flexibility and productivity. Although the results are in progress, so far, it is suggested that the implementation of LP and Industry 4.0 concepts in Angola are not being uniformed in terms of companies' size and geography, which is in line with the available literature.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114536287","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080398
Muhammad H.D. Khan, U. Mujahid, M. Najam-ul-Islam, Hongsik Choi
Energy trading using distributed smart grids is gaining popularity these days. The integration of Blockchain with distributed smart grids will provide an even better solution with features like sophisticated consumption monitoring and a robust and scalable energy trading system. Blockchain with its properties of secure recording, anonymity, transparency and distributed implementation will further strengthen the decentralized operation of energy trading among various entities of the smart grid network. However, the full potential of this new network cannot be achieved due to the inherent security and privacy issues. In this research paper, the authors have identified a security vulnerability in the transaction flow implementation. First, an overview of a decentralized energy trading network has been given. Then the process flow has been discussed in detailed at every stage. Finally, two scenarios have been presented where the poor security measures can be exploited to perform a double spending attack (DSA) with a help of a Block Delay Technique.
{"title":"A Security Analysis of Blockchain Based Decentralized Energy Exchange System","authors":"Muhammad H.D. Khan, U. Mujahid, M. Najam-ul-Islam, Hongsik Choi","doi":"10.1109/ICITM48982.2020.9080398","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080398","url":null,"abstract":"Energy trading using distributed smart grids is gaining popularity these days. The integration of Blockchain with distributed smart grids will provide an even better solution with features like sophisticated consumption monitoring and a robust and scalable energy trading system. Blockchain with its properties of secure recording, anonymity, transparency and distributed implementation will further strengthen the decentralized operation of energy trading among various entities of the smart grid network. However, the full potential of this new network cannot be achieved due to the inherent security and privacy issues. In this research paper, the authors have identified a security vulnerability in the transaction flow implementation. First, an overview of a decentralized energy trading network has been given. Then the process flow has been discussed in detailed at every stage. Finally, two scenarios have been presented where the poor security measures can be exploited to perform a double spending attack (DSA) with a help of a Block Delay Technique.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470604","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080387
A. Corallo, Clara Renna, R. Greco, Silvia Toraldo
This paper's purpose is the presentation of the INTERACT 4.0 project, whose aim is the first systematic mapping of the SMEs' ecosystem related to the IPA CBC Interreg Programme Area, not only regarding the geographical aspect, but also according to the skills owned by the companies themselves, on the basis of international indicators. This is fundamental for the definition of a territorial growth strategy, based on the Industry 4.0 process, as it will support both companies and policy makers in future planning.
{"title":"IPA CBC Interreg IT-AL-ME inTERaCt 4.0: A Case Study of the First Systematic Mapping of the SMEs Ecosystem","authors":"A. Corallo, Clara Renna, R. Greco, Silvia Toraldo","doi":"10.1109/ICITM48982.2020.9080387","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080387","url":null,"abstract":"This paper's purpose is the presentation of the INTERACT 4.0 project, whose aim is the first systematic mapping of the SMEs' ecosystem related to the IPA CBC Interreg Programme Area, not only regarding the geographical aspect, but also according to the skills owned by the companies themselves, on the basis of international indicators. This is fundamental for the definition of a territorial growth strategy, based on the Industry 4.0 process, as it will support both companies and policy makers in future planning.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132435886","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080385
Andrea Morales-Plaza, Raul Vicuña-Izquierdo, Maribel Perez-Paredes, C. Raymundo-Ibañez, Javier M. Moguerza
Agricultural companies usually experience fresh fruit losses and waste throughout process chains. In fact, approximately 55% of worldwide losses and waste from fruit and vegetable production come from Latin America. These wastes are due to factors such as deterioration during distribution, fruit flies at harvest time, inadequate selection and classification processes, and climatic factors. Therefore, a waste management model, supported by reverse logistics and the 5S Methodology, was developed to generate added value by leveraging the biomass available. In this model, the 5S Methodology is implemented to reduce waste and improve waste management. Next, biomass production is assessed to estimate its economic and environmental impact on the company. The model proposed is then validated through a case study implementation at Agro Peru SAC, a Peruvian agricultural company. After this implementation, the results obtained reported 2.57% less waste generated, a 2.37% increase in revenue, and a 12.02 % reduction in processing times.
农业公司通常会在整个加工链中遇到新鲜水果的损失和浪费。事实上，全球约55%的水果和蔬菜生产损失和浪费来自拉丁美洲。这些浪费是由于分销过程中的变质、收获时的果蝇、选择和分类过程不充分以及气候因素等因素造成的。因此，在逆向物流和5S方法论的支持下，开发了一种废物管理模型，通过利用可利用的生物质来产生附加值。在这个模式中，采用5S方法来减少浪费和改善废物管理。接下来，对生物质生产进行评估，以估计其对公司的经济和环境影响。然后通过秘鲁农业公司Agro Peru SAC的案例研究实施验证了所提出的模型。在此实现之后，获得的结果显示，产生的废物减少了2.57%，收入增加了2.37%，处理时间减少了12.02%。
{"title":"Waste Management Model Based on Reverse Logistics and 5S for the Generation of Biomass in the Fresh Fruit Industry","authors":"Andrea Morales-Plaza, Raul Vicuña-Izquierdo, Maribel Perez-Paredes, C. Raymundo-Ibañez, Javier M. Moguerza","doi":"10.1109/ICITM48982.2020.9080385","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080385","url":null,"abstract":"Agricultural companies usually experience fresh fruit losses and waste throughout process chains. In fact, approximately 55% of worldwide losses and waste from fruit and vegetable production come from Latin America. These wastes are due to factors such as deterioration during distribution, fruit flies at harvest time, inadequate selection and classification processes, and climatic factors. Therefore, a waste management model, supported by reverse logistics and the 5S Methodology, was developed to generate added value by leveraging the biomass available. In this model, the 5S Methodology is implemented to reduce waste and improve waste management. Next, biomass production is assessed to estimate its economic and environmental impact on the company. The model proposed is then validated through a case study implementation at Agro Peru SAC, a Peruvian agricultural company. After this implementation, the results obtained reported 2.57% less waste generated, a 2.37% increase in revenue, and a 12.02 % reduction in processing times.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121922853","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080403
Nepal H. Elkasrawy, Noha M. Galal, Ahmed F. Abdelmoneim
Uncertainty due to imprecise data and linguistically expressed information is inherent to real-life problems. Tactical production planning cannot neglect the presence of uncertainty due to the length of the planning horizon and the multitude of interacting factors affecting the manufacturing environment. Quantities expressed linguistically are best described by fuzzy sets to capture vagueness and to facilitate decision making in an uncertain context. This work considers developing an aggregate production plan with fuzzy demand and fuzzy cost elements. A fuzzy linear programming model is proposed that aims to minimize the total production costs and penalty costs caused by the unutilized capacity and unsatisfied demand. The proposed model is illustrated via a numerical example reflecting different cases that may occur in industry. The obtained results determine the optimum aggregate production plan while giving the decision-maker the flexibility to select the degree of satisfaction of constraints.
{"title":"Aggregate Production Planning with Fuzzy Demand and Penalty Costs","authors":"Nepal H. Elkasrawy, Noha M. Galal, Ahmed F. Abdelmoneim","doi":"10.1109/ICITM48982.2020.9080403","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080403","url":null,"abstract":"Uncertainty due to imprecise data and linguistically expressed information is inherent to real-life problems. Tactical production planning cannot neglect the presence of uncertainty due to the length of the planning horizon and the multitude of interacting factors affecting the manufacturing environment. Quantities expressed linguistically are best described by fuzzy sets to capture vagueness and to facilitate decision making in an uncertain context. This work considers developing an aggregate production plan with fuzzy demand and fuzzy cost elements. A fuzzy linear programming model is proposed that aims to minimize the total production costs and penalty costs caused by the unutilized capacity and unsatisfied demand. The proposed model is illustrated via a numerical example reflecting different cases that may occur in industry. The obtained results determine the optimum aggregate production plan while giving the decision-maker the flexibility to select the degree of satisfaction of constraints.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128952674","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 : 2020-02-01DOI: 10.1109/ICITM48982.2020.9080355
Guler Ozturk, A. Oner
Two new continuous-time MILP (Mixed Integer Linear Programming) models are developed for resource constrained project scheduling problems in which activities can be conducted in different (multi) modes. There are efficient and flexible MILP models for this problem in which time is represented by a number of discrete time intervals. However, they require to use large numbers of binary variables as the number of activities increases and time horizon stretches. Hence efforts have been made to formulate MILP models based on continuous-time representation and therefore to speed up the solution process. We propose two novel MILP models based on the event and resource flow concepts. The models are verified by solving benchmark problems in the literature.
{"title":"Continuous Time MILP Models for Multi-Mode Resource Constrained Project Scheduling Problems","authors":"Guler Ozturk, A. Oner","doi":"10.1109/ICITM48982.2020.9080355","DOIUrl":"https://doi.org/10.1109/ICITM48982.2020.9080355","url":null,"abstract":"Two new continuous-time MILP (Mixed Integer Linear Programming) models are developed for resource constrained project scheduling problems in which activities can be conducted in different (multi) modes. There are efficient and flexible MILP models for this problem in which time is represented by a number of discrete time intervals. However, they require to use large numbers of binary variables as the number of activities increases and time horizon stretches. Hence efforts have been made to formulate MILP models based on continuous-time representation and therefore to speed up the solution process. We propose two novel MILP models based on the event and resource flow concepts. The models are verified by solving benchmark problems in the literature.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127591845","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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