{"title":"A Novel Approach for the Location and Allocation of Maintenance Service Vehicles in Agriculture","authors":"Zhe Wang, Yaoguang Hu, Weibo Ren","doi":"10.1109/ICIEA52957.2021.9436811","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436811","url":null,"abstract":"Maintenance service vehicles are deployed by the agricultural machinery manufacturing enterprises to provide maintenance service for agriculture machinery in the busy farming season. This paper focuses on joint optimization of the location and allocation problem of maintenance service vehicles in agriculture and proposed a new solution. In order to determine the location of service stations and the number of maintenance service vehicles in each service station, the set covering model is developed to minimize the total vehicle dispatching cost and penalty cost during the service process, and the improved genetic algorithm is then designed to solve the problem. Finally, a real case in Human province in China is conducted to demonstrate the performance of the developed methodology.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125363366","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}
{"title":"An Auxiliary Industrial Equipment Maintenance System Using Mixed Reality","authors":"Xiaobo Su, Zheng Cheng, Bin Luo","doi":"10.1109/ICIEA52957.2021.9436694","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436694","url":null,"abstract":"The intellectualization of modern industrial equipment presents a great challenge to its maintenance. The traditional maintenance of equipment requires the repairer to reference related manual, resulting in low maintenance efficiency. And the attempt based on the Virtual Reality can not produce the real and operable experience. To solve the problems, we proposes an auxiliary equipment maintenance system based on Mixed Reality technology that superposes CAD model and other virtual information to the actual equipment using HoloLens. We take the maintenance of a gasoline engine as an example, mainly including troubleshooting, maintenance guidance and equipment part training, where users only need to follow the steps set by the system, and the experiment about system evaluation shows that it makes equipment maintenance work more simple, intuitive, convenient and efficient.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608665","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}
{"title":"Smart Supply Chain Management: The 5W1H Open and Collaborative Framework","authors":"Diogo Correia, L. Teixeira, J. Marques","doi":"10.1109/ICIEA52957.2021.9436817","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436817","url":null,"abstract":"During the Covid-19 pandemics, many companies had to cease their activities due to the scarcity of raw material supply or availability of goods' transportation modes. Simulataneously, vehicles from different enterprises were still performing similar routes, delivering goods to the same clients or nearby locations, with a small percentage of their capacity filled. The ability to optimize resource usage, re-adjust, and search for alternatives should depend on an integrated real-time decision. Open collaboration between stakeholders in terms of human resources, assets, and data sharing is vital. Industry 4.0 and mostly additive manufacturing can leverage the production closer to the client, eliminating logistic intermediaries' steps, cutting warehouse expenses and delivery costs, and promoting sustainability. Therefore, this paper proposes an adapted framework from the 5W1H (Who, Why, What, Where, When, and How) quality management methodology to organize the supply chain based on the client's personalized inputs and stakeholders' integration.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122377070","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}
Peerapong Pakawanich, A. Udomsakdigool, C. Khompatraporn
{"title":"Solving Crop Production Scheduling in an Agricultural Cooperative Using a Priority Based Heuristic","authors":"Peerapong Pakawanich, A. Udomsakdigool, C. Khompatraporn","doi":"10.1109/ICIEA52957.2021.9436713","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436713","url":null,"abstract":"This paper presents a priority based heuristic to solve the crop production scheduling in an agricultural cooperative. The objective is to minimize the standard deviation of the revenue per GH ($SD_{RGH}$) of farmers. The proposed heuristic includes two main steps, generate promise initial solution and improve solution using reallocating strategy. The proposed method is tested on the case study problems. The result illustrates that the solution obtained from the proposed method is better than those from the Gurobi solver v8.1.0.0.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122489934","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}
{"title":"Evaluation of Active Photovoltaic Array Based on PSIM Software in Actual Scale","authors":"Chuanxiang Xu, K. Itako, T. Kudoh, K. Koh, Q. Ge","doi":"10.1109/ICIEA52957.2021.9436792","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436792","url":null,"abstract":"Photovoltaic (PV) power generation systems are often affected by the external environment (animals, plants, or buildings, etc.) during operation, causing the problem of partial shadowing of the PV array. In the case of partial shadows, conventional photovoltaic array connection and control methods cannot guarantee that each panel works at maximum power. In response to the above-mentioned situation of PV arrays in practical applications, this paper proposes a novel active PV array (APV) to control each PV panel to operate in the optimal state. Through the PSIM simulation analysis of the actual PV power station situation, the effectiveness of this control method is verified.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114274309","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}
M. Kohl, Julia Krottenthaler, K. Müller, J. Fottner, J. Lopitzsch
{"title":"Socio-Technical Process Modules for Configuring Current and Future Logistics Processes","authors":"M. Kohl, Julia Krottenthaler, K. Müller, J. Fottner, J. Lopitzsch","doi":"10.1109/ICIEA52957.2021.9436721","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436721","url":null,"abstract":"In a globally competitive environment with high innovation pressure and decreasing response time to customer requirements, companies are faced with having to improve their logistics system. This optimization is strongly supported by growing digitalization and autonomization of logistics within Industry 4.0 and leads to a fundamental change in the entire logistics processes of companies. While previous methods of process analysis do not comprehensively consider the transformation of the logistics system, this paper presents an approach for task-oriented modeling of current and future logistics processes in consideration of the socio-technical system. Based on literature research, expert interviews, and workshops, logistics process modules for modeling automotive logistics are derived. These modules can be configured via parameters and values, similar to morphological boxes. The validation of the developed process modules occurred in the logistics processes of a commercial vehicle manufacturer. Using the process modules, both the current process flow and future scenarios can be modeled, and process changes can be revealed transparently in terms of people and technology.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121978225","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}
{"title":"Integrated Scheduling of AGVs and Yard Cranes in Automated Container Terminals","authors":"Doaa Naeem, M. Gheith, A. Eltawil","doi":"10.1109/ICIEA52957.2021.9436808","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436808","url":null,"abstract":"Automated container terminals are more efficient than conventional terminals, as they lead to a remarkable decrease in the operational costs of human and equipment resources. However, since there is a lack in labor interference in the Automated Container Terminals (ACTs) as the equipment is controlled automatically, detailed scheduling and efficient planning of each piece of equipment is crucial to smoothly perform the various operations. Therefore, this paper proposes a Mixed Integer Programing model to consider the integrated schedule of Quay Cranes (QCs), Automated Guided Vehicles (AGVs) and Yard Cranes (YCs) to minimize the total waiting time of QCs and the number of needed AGVs, also the storage locations of import containers are determined.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128510472","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}
David Timmermann, Dominik Heid, T. Friedel, A. Roennau, R. Dillmann
{"title":"A Hybrid Approach for Object Localization Combining Mask R-CNN and Halcon in an Assembly Scenario","authors":"David Timmermann, Dominik Heid, T. Friedel, A. Roennau, R. Dillmann","doi":"10.1109/ICIEA52957.2021.9436691","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436691","url":null,"abstract":"Robust and accurate object localization is a key component in the context of robotic grasping. Especially in collaborative assembly scenarios it is important that the robot is able to detect objects precisely to grasp them quickly and reliable. Therefore, classic image-based methods for object localization are not always applicable, as they may experience bad localization rates in large scenes or long runtimes at high camera resolutions. The focus of this paper is to provide a hybrid approach for the localization of objects in a scene by using a deep neural network for classification and segmentation of objects and classic shape-based matching for exact localization in the detected region of interest. We use Mask R-CNN as a deep neural network pixel based classifier and Halcon as an example for a well-known classic image processing program. Last but not least the solution is evaluated in comparison to only using Halcon by evaluating the performance regarding execution time and reliability of the object pose localization.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150654","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}
{"title":"A Discrete Event Simulation Model for Evaluating Inland Terminal's efficiency: A Case Study of Ladkrabang Inland Container Depot","authors":"Phipat Pimpanit, P. Jarumaneeroj","doi":"10.1109/ICIEA52957.2021.9436698","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436698","url":null,"abstract":"An inland terminal, or dry port, is one of main facilities in the logistical network of maritime transportation as it helps provide access between hinterland and the rest of the world via the seaports. While the impact of these inland terminal on the efficiency of multimodal transportation has recently become more evident, it is relatively challenging to evaluate dry port's performance, as it typically involves with many operations performed by different gate operators with different numbers of container handling equipment (CHE). To properly evaluate dry port's performance, in this paper, a Discrete Event Simulation (DES) model is proposed and implemented in SIMIO modeling platform based on the current data of Ladkrabang Inland Container Depot (LICD), Thailand. According to our results, we have found that, currently, all CHE types at the LICD are not well utilized, especially the internal trucks, as the frequency of trains arriving at the LICD is still far too few. We also find that the utilization of CHE does not significant change as we vary the proportion of cargo transported by trains to trucks from 30:70 to 50:50, while maintaining total container flow. As such, we suggest that gate operators should form a CHE sharing agreement in order to improve CHE efficiency, and so the LICD's, which would be crucial for their survivability, especially after the post pandemic.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129235322","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}
{"title":"Operation Profit Model and Strategy of Electric Vehicle Battery Exchange Station in Transportation System","authors":"Peng Guo, R. Miao, Hao Hu","doi":"10.1109/ICIEA52957.2021.9436804","DOIUrl":"https://doi.org/10.1109/ICIEA52957.2021.9436804","url":null,"abstract":"Electric vehicles effectively relieve the pressure on the transportation system, and can solve problems such as energy crisis and environmental pollution. However, there are 3 main problems that restrict the development and promotion of electric vehicles in current transportation system: short cruising range, long charging time and high battery purchase cost. In order to solve the above problems, this article adopts the strategy of battery exchange station and establishes an integer programming model for the operation of battery exchange station from the perspective of operators. The model comprehensively considers the exchange fee, the number of batteries, the charging and discharging capacity and the service level of the exchange station. Lingo programming technology is adopted to analyze the model. Then, the maximum value of the corresponding profit under different parameters, the number of battery charged and discharged performed by each exchange station in each time period are obtained. Meanwhile, sensitivity analysis and strategy analysis for operation profit are conducted. The results of numerical experiments show that the proposed model can minimize the operator's investment risk and maximize the operation profit, while ensuring the safe and stable output of the power grid. Therefore, it can provide a strong guidance for the operator to make a reasonable operation strategy and battery management, which is crucial for the development of electric vehicle and optimization of transportation system management.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124004398","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}