M. Hawryluk, Piotr Kondracki, J. Krawczyk, Marcin Rychlik, J. Ziemba
Die forging is a competitive method of producing construction elements, such as pistons, crankshafts, gear wheels and gears used in the automotive and aircraft industries, in respect of other production technologies. The reason for this is that the items produced by this technology are characterized by good mechanical properties as well as dimensional and shape precision with a reduced amount of material waste and total cost of production. Additionally, the obtained material structure predisposes them to be used for responsible machine parts working under difficult operation conditions. However, the forging of such type of components is usually performed by means of a HAWRYLUK M, KONDRACKI P, KRAWCZYK J, RYCHLIK M, ZIEMBA J. Analysis of the impact of forging and trimming tools wear on the dimension-shape precision of forgings obtained in the process of manufacturing components for the automotive industry. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2019; 21 (3): 476–484, http://dx.doi.org/10.17531/ein.2019.3.14.
与其他生产技术相比，模锻是生产活塞、曲轴、齿轮和齿轮等汽车和飞机工业中使用的结构元件的一种有竞争力的方法。其原因是，该技术生产的产品具有良好的机械性能以及尺寸和形状精度，减少了材料浪费和总生产成本。此外，所获得的材料结构使它们易于用于在困难操作条件下工作的负责任的机器零件。然而，这类零件的锻造通常是通过HAWRYLUK M, KONDRACKI P, KRAWCZYK J, RYCHLIK M, ZIEMBA J.进行的。汽车工业零件制造过程中锻件和修边工具磨损对锻件尺寸形状精度的影响分析。Eksploatacja i Niezawodnosc -维护和可靠性2019;21 (3): 476-484, http://dx.doi.org/10.17531/ein.2019.3.14。
{"title":"Analysis of the impact of forging and trimming tools wear on the dimension-shape precision of forgings obtained in the process of manufacturing components for the automotive industry","authors":"M. Hawryluk, Piotr Kondracki, J. Krawczyk, Marcin Rychlik, J. Ziemba","doi":"10.17531/EIN.2019.3.14","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.14","url":null,"abstract":"Die forging is a competitive method of producing construction elements, such as pistons, crankshafts, gear wheels and gears used in the automotive and aircraft industries, in respect of other production technologies. The reason for this is that the items produced by this technology are characterized by good mechanical properties as well as dimensional and shape precision with a reduced amount of material waste and total cost of production. Additionally, the obtained material structure predisposes them to be used for responsible machine parts working under difficult operation conditions. However, the forging of such type of components is usually performed by means of a HAWRYLUK M, KONDRACKI P, KRAWCZYK J, RYCHLIK M, ZIEMBA J. Analysis of the impact of forging and trimming tools wear on the dimension-shape precision of forgings obtained in the process of manufacturing components for the automotive industry. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2019; 21 (3): 476–484, http://dx.doi.org/10.17531/ein.2019.3.14.","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356898","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}
Mechanical structural reliability has been studied since the 1960s and gradually applied in engineering machinery, aerospace, electrical equipment, and other fields [1, 5, 8, 13, 18, 20]. However, with the development of machinery to high precision and automation, the precision of mechanism motion has gradually become the main index for reliability evaluation [9, 10]. In the 1980s, mechanism motion precision started to be analyzed comprehensively from the perspective of probability statistics. Sandler [17] analyzed the kinematic and dynamic precision of simple mechanisms with a nonlinear method. Rhyu and Kwak [16] studied the optimization design of the planar four-bar linkages based on reliability. By the 1990s, progress had been made in applications of mechanism motion reliability. Misawa [12] proposed a research method for predicting the reliability of a deployable satellite antenna based on conventional reliability analysis. Then by the turn of this century, the reliability analysis of mechanism motion became increasingly based on simulation methods with the rapid development of computer technology. Rao and Bhatti [15] systematically established a probabilistic model of a simple manipulator based on Gaussian distribution and a Markov stochastic process. Kim et al. [11] calculated the reliability of an open-loop mechanism considering machining error and hinge clearance based on AFOSM (Advanced first order second moment) method and Monte-Carlo simulation. Asri et al. [2] analyzed the fatigue reliability of a wheel steering mechanism with a Monte-Carlo simulation method. Moreover, the reliability yao Sun Zhili Sun Mingang yin Jie Zhou
{"title":"Reliability model of sequence motions and its solving idea","authors":"Yao Sun, Zhili Sun, Mingang Yin, Jie Zhou","doi":"10.17531/EIN.2019.3.1","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.1","url":null,"abstract":"Mechanical structural reliability has been studied since the 1960s and gradually applied in engineering machinery, aerospace, electrical equipment, and other fields [1, 5, 8, 13, 18, 20]. However, with the development of machinery to high precision and automation, the precision of mechanism motion has gradually become the main index for reliability evaluation [9, 10]. In the 1980s, mechanism motion precision started to be analyzed comprehensively from the perspective of probability statistics. Sandler [17] analyzed the kinematic and dynamic precision of simple mechanisms with a nonlinear method. Rhyu and Kwak [16] studied the optimization design of the planar four-bar linkages based on reliability. By the 1990s, progress had been made in applications of mechanism motion reliability. Misawa [12] proposed a research method for predicting the reliability of a deployable satellite antenna based on conventional reliability analysis. Then by the turn of this century, the reliability analysis of mechanism motion became increasingly based on simulation methods with the rapid development of computer technology. Rao and Bhatti [15] systematically established a probabilistic model of a simple manipulator based on Gaussian distribution and a Markov stochastic process. Kim et al. [11] calculated the reliability of an open-loop mechanism considering machining error and hinge clearance based on AFOSM (Advanced first order second moment) method and Monte-Carlo simulation. Asri et al. [2] analyzed the fatigue reliability of a wheel steering mechanism with a Monte-Carlo simulation method. Moreover, the reliability yao Sun Zhili Sun Mingang yin Jie Zhou","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122505291","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}
In modern engineering, multi-state system (MSS) is a kind of system that represents a capability allowing for more than two performance states in a system besides perfect functionality and complete fault [21]. Compared with the two-state system, MSS can define the components states of a system, and express the effect of the changes of component performance on system performance more flexibly and precisely. In the 1970s, Barlow and Wu [2] first proposed the concept of MSS and gradually established the related theory. Then, the reliability theory of MSS has been widely concerned by scholars. And the following reliability analysis methods for MSS have been developed: the extended Boolean model method [22, 26], random process theory [1, 14, 18], Monte-Carlo simulation method [23, 25], function model method [8, 16, 31], Bayesian network method [13, 29], and so on. The uncertainty, which is caused by the insufficient information about internal structures, the scarcity of historical data and the changeability of operation environment, is one of the most crucial problems in MSS reliability analysis. Therefore, it is very difficult to define and obtain the component state performances and state probabilities. Meantime, the boundaries among component fault states fail to define and obtain with precision. So the traditional probability-based method is no longer applicable. However, non-probabilistic methods, such as evidence theory [7], grey system theory [33], probability-box [27], and fuzzy theory [15, 30], have been proposed and developed for reliability analysis of complex uncertainty MSS. WANG H, DUAN F, MA J. Reliability analysis of complex uncertainty multi-state system based on Bayesian network. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2019; 21 (3): 419–429, http://dx.doi.org/10.17531/ein.2019.3.8.
在现代工程中，多状态系统(MSS)是指在功能完备和完全故障之外，允许系统具有两种以上性能状态的一种系统。与双态系统相比，MSS可以定义系统的组件状态，更灵活、准确地表达组件性能变化对系统性能的影响。20世纪70年代，Barlow和Wu[2]首先提出了MSS的概念，并逐步建立了相关理论。因此，MSS的可靠性理论受到了学者们的广泛关注。MSS的可靠性分析方法有:扩展布尔模型法[22,26]、随机过程理论[1,14,18]、蒙特卡罗模拟法[23,25]、函数模型法[8,16,31]、贝叶斯网络法[13,29]等。系统内部结构信息的不充分、历史数据的稀缺性和运行环境的易变性等因素所导致的不确定性是系统可靠性分析中最关键的问题之一。因此，很难定义和获得组件的状态性能和状态概率。同时，构件故障状态之间的边界无法精确定义和获取。因此，传统的基于概率的方法已不再适用。然而，非概率方法，如证据理论[7]、灰色系统理论[33]、概率盒[27]和模糊理论[15,30]，已被提出并发展用于复杂不确定性MSS的可靠性分析。王辉，段峰，马军。基于贝叶斯网络的复杂不确定多状态系统可靠性分析。Eksploatacja i Niezawodnosc -维护和可靠性2019;21 (3): 419-429, http://dx.doi.org/10.17531/ein.2019.3.8。
{"title":"Reliability analysis of complex uncertainty multi-state system based on Bayesian network","authors":"Haipeng Wang, F. Duan, Jun Ma","doi":"10.17531/EIN.2019.3.8","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.8","url":null,"abstract":"In modern engineering, multi-state system (MSS) is a kind of system that represents a capability allowing for more than two performance states in a system besides perfect functionality and complete fault [21]. Compared with the two-state system, MSS can define the components states of a system, and express the effect of the changes of component performance on system performance more flexibly and precisely. In the 1970s, Barlow and Wu [2] first proposed the concept of MSS and gradually established the related theory. Then, the reliability theory of MSS has been widely concerned by scholars. And the following reliability analysis methods for MSS have been developed: the extended Boolean model method [22, 26], random process theory [1, 14, 18], Monte-Carlo simulation method [23, 25], function model method [8, 16, 31], Bayesian network method [13, 29], and so on. The uncertainty, which is caused by the insufficient information about internal structures, the scarcity of historical data and the changeability of operation environment, is one of the most crucial problems in MSS reliability analysis. Therefore, it is very difficult to define and obtain the component state performances and state probabilities. Meantime, the boundaries among component fault states fail to define and obtain with precision. So the traditional probability-based method is no longer applicable. However, non-probabilistic methods, such as evidence theory [7], grey system theory [33], probability-box [27], and fuzzy theory [15, 30], have been proposed and developed for reliability analysis of complex uncertainty MSS. WANG H, DUAN F, MA J. Reliability analysis of complex uncertainty multi-state system based on Bayesian network. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2019; 21 (3): 419–429, http://dx.doi.org/10.17531/ein.2019.3.8.","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"41 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115843921","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":"Methodology of overall equipment effectiveness calculation in the context of Industry 4.0 environment","authors":"Z. Aleš, J. Pavlů, V. Legát, F. Mošna, V. Jurča","doi":"10.17531/EIN.2019.3.7","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.7","url":null,"abstract":"","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115887353","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}
In the current coal mining face, the scraper conveyor (Fig. 1) as one of the key equipments for large-scale, high-efficiency and continuous coal mining equipment not only bears the role of coal transportation, but also the running track of the shearer and the shifting point of the hydraulic support [24]. Therefore, the scraper conveyor is throughout the fully mechanized mining face and occupies an extremely important position. As shown in Fig. 1, the scraper conveyor consists of one control cabinet, one double-chain drive system, two double-drive sprockets, one to three drive units and lots of middle troughs. With the development of high-yield and high-efficiency coal mining face, it is urgent to develop large-capacity, long-distance, high-power, high-reliability scraper conveyors [9]. The intent of the reliability-based optimal design is less maintenance or maintenancefree, resulting in objective economic benefits. The scraper chain (Fig. 2) is the core component of the scraper conveyor; its quality and performance directly affect the working efficiency of scraper conveyors. Due to the complexity and the harshness of the working condition, the scraper chain is prone to serious accidents. The coal production performance can be specifically attributed to the reliability of scraper chains. Therefore, it is considered necessary to introduce the structural reliability models throughout the design process to provide a more accurate reliability assessment and parameter optimization for the scraper chain with multiple failure modes. Random variables such as tensile force, structural dimensions and material properties of the scraper chain may affect its reliability. What’s more, in order to meet reliability requirements of the scraper chain, the random variables that have a significant impact on device SHUAI L, ZHENCAI Z, HAO L, GANG S. A system reliability-based design optimization for the scraper chain of scraper conveyors with dependent failure modes. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2019; 21 (3): 392–402, http://dx.doi.org/10.17531/ ein.2019.3.5.
在当前的采煤工作面中，刮板输送机(图1)作为大型、高效、连续采煤设备的关键设备之一，不仅承担着运煤的作用，同时也是采煤机的运行轨迹和液压支架的移位点[24]。因此，刮板输送机贯穿于综采工作面，占有极其重要的地位。如图1所示，刮板输送机由1个控制柜、1个双链传动系统、2个双传动链轮、1 ~ 3个传动单元和多个中间槽组成。随着高产高效采煤工作面的发展，迫切需要发展大容量、长距离、大功率、高可靠性的刮板输送机[9]。可靠性优化设计的目的是减少维修或免维修，从而获得客观的经济效益。刮板链(图2)是刮板输送机的核心部件;它的质量和性能直接影响刮板输送机的工作效率。由于工作条件的复杂性和苛刻性，刮板链条容易发生严重事故。煤的生产性能可以具体地归因于刮板链的可靠性。因此，有必要在整个设计过程中引入结构可靠性模型，为具有多种失效模式的刮板链提供更准确的可靠性评估和参数优化。刮板链的拉力、结构尺寸和材料性能等随机变量都可能影响其可靠性。为了满足刮板链的可靠性要求，选取对设备有显著影响的随机变量帅磊，郑才智，郝磊，刚生。基于系统可靠性的刮板输送机刮板链失效模式相关的设计优化。Eksploatacja i Niezawodnosc -维护和可靠性2019;21 (3): 392-402, http://dx.doi.org/10.17531/ ein.2019.3.5。
{"title":"A system reliability-based design optimization for the scraper chain of scraper conveyors with dependent failure modes","authors":"Li Shuai, Zhu Zhencai, Lu Hao, Shen Gang","doi":"10.17531/EIN.2019.3.5","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.5","url":null,"abstract":"In the current coal mining face, the scraper conveyor (Fig. 1) as one of the key equipments for large-scale, high-efficiency and continuous coal mining equipment not only bears the role of coal transportation, but also the running track of the shearer and the shifting point of the hydraulic support [24]. Therefore, the scraper conveyor is throughout the fully mechanized mining face and occupies an extremely important position. As shown in Fig. 1, the scraper conveyor consists of one control cabinet, one double-chain drive system, two double-drive sprockets, one to three drive units and lots of middle troughs. With the development of high-yield and high-efficiency coal mining face, it is urgent to develop large-capacity, long-distance, high-power, high-reliability scraper conveyors [9]. The intent of the reliability-based optimal design is less maintenance or maintenancefree, resulting in objective economic benefits. The scraper chain (Fig. 2) is the core component of the scraper conveyor; its quality and performance directly affect the working efficiency of scraper conveyors. Due to the complexity and the harshness of the working condition, the scraper chain is prone to serious accidents. The coal production performance can be specifically attributed to the reliability of scraper chains. Therefore, it is considered necessary to introduce the structural reliability models throughout the design process to provide a more accurate reliability assessment and parameter optimization for the scraper chain with multiple failure modes. Random variables such as tensile force, structural dimensions and material properties of the scraper chain may affect its reliability. What’s more, in order to meet reliability requirements of the scraper chain, the random variables that have a significant impact on device SHUAI L, ZHENCAI Z, HAO L, GANG S. A system reliability-based design optimization for the scraper chain of scraper conveyors with dependent failure modes. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2019; 21 (3): 392–402, http://dx.doi.org/10.17531/ ein.2019.3.5.","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114075982","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}
The article proposed an original way to assess the acoustic effects of road vehicles in the environment, with the use of selected methods of sound modeling and simulation. The taken solution presents a way of estimating the acoustic emission to the environment, from the exploited road vehicles, using subjective sound features. In ongoing studies, it is assumed to analyze and evaluate the sound features in the following order: source propagation way receiver. The distribution of these features in the time and frequency domains depends on generation, propagation and immission of acoustic energy, by the partial sources of the vehicle. The obtained information in the form of an acoustic signal can be represented by physical and subjective features of the sound. The undertaken research include the use of subjective features of sound in the assessment of acoustic effects of road vehicles exploited in the environment. The developed method was verified using modeling and simulation methods based on recorded acoustic signals in an urbanized environment.
{"title":"The assessment of acoustic effects of exploited road vehicles with the use of subjective features of sound","authors":"W. Paszkowski","doi":"10.17531/EIN.2019.3.19","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.19","url":null,"abstract":"The article proposed an original way to assess the acoustic effects of road vehicles in the environment, with the use of selected methods of sound modeling and simulation. The taken solution presents a way of estimating the acoustic emission to the environment, from the exploited road vehicles, using subjective sound features. In ongoing studies, it is assumed to analyze and evaluate the sound features in the following order: source propagation way receiver. The distribution of these features in the time and frequency domains depends on generation, propagation and immission of acoustic energy, by the partial sources of the vehicle. The obtained information in the form of an acoustic signal can be represented by physical and subjective features of the sound. The undertaken research include the use of subjective features of sound in the assessment of acoustic effects of road vehicles exploited in the environment. The developed method was verified using modeling and simulation methods based on recorded acoustic signals in an urbanized environment.","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125646278","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. Wasiak, I. Jacyna-Gołda, K. Markowska, R. Jachimowski, M. Kłodawski, M. Izdebski
The supply chain is generally understood as a group of companies such as mining, production or distribution companies, etc., which carry out joint activities necessary to satisfy the demand of final recipients for specific products. The coordination of activities is carried out throughout the whole chain of goods flow from the acquisition of raw materials to deliveries to the final recipient. These activities may include: development, production, sale, maintenance, procurement, distribution, resource management, support activities, etc. The role and location of individual companies – entities in the structure of the supply chain – results from the division of labour at subsequent stages of production and sale of products. Intersecting supply chains constitute a network of relations of interdependent organisations which, acting on the basis of mutual cooperation, jointly manage the material goods flows and information from suppliers to final customers, control and improve them [1, 4, 17, 21, 22, 23, 24, 36, 21]. It may therefore be said that entities operating in the supply chain through links with suppliers and recipients are involved in various processes and activities that create value in the form of products and services delivered to final consumers. Each of the companies integrated in the supply chain is responsible for a part of the realized flows between entities. There are many unpredictable situations in material goods flows which have a negative impact on the continuity and quality of these flows. The main operational risks1 in this respect from the point of view of an established cell of the supply chain result from the following adverse events: delivery delay, e.g. due to: organisational disruptions at the sup – plier, lack of availability of ordered materials at the supplier, late delivery of the means of transport for loading, wrong selection of transport route, road conditions, delivery errors, extended customs clearance,
{"title":"The use of a supply chain configuration model to assess the reliability of logistics processes","authors":"M. Wasiak, I. Jacyna-Gołda, K. Markowska, R. Jachimowski, M. Kłodawski, M. Izdebski","doi":"10.17531/EIN.2019.3.2","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.2","url":null,"abstract":"The supply chain is generally understood as a group of companies such as mining, production or distribution companies, etc., which carry out joint activities necessary to satisfy the demand of final recipients for specific products. The coordination of activities is carried out throughout the whole chain of goods flow from the acquisition of raw materials to deliveries to the final recipient. These activities may include: development, production, sale, maintenance, procurement, distribution, resource management, support activities, etc. The role and location of individual companies – entities in the structure of the supply chain – results from the division of labour at subsequent stages of production and sale of products. Intersecting supply chains constitute a network of relations of interdependent organisations which, acting on the basis of mutual cooperation, jointly manage the material goods flows and information from suppliers to final customers, control and improve them [1, 4, 17, 21, 22, 23, 24, 36, 21]. It may therefore be said that entities operating in the supply chain through links with suppliers and recipients are involved in various processes and activities that create value in the form of products and services delivered to final consumers. Each of the companies integrated in the supply chain is responsible for a part of the realized flows between entities. There are many unpredictable situations in material goods flows which have a negative impact on the continuity and quality of these flows. The main operational risks1 in this respect from the point of view of an established cell of the supply chain result from the following adverse events: delivery delay, e.g. due to: organisational disruptions at the sup – plier, lack of availability of ordered materials at the supplier, late delivery of the means of transport for loading, wrong selection of transport route, road conditions, delivery errors, extended customs clearance,","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074074","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. Papis, Dominik Jastrzebski, Antoni Kopyt, M. Matyjewski, M. Miroslaw
Research on human safety is a complex, time consuming, and extremely important process. Especially in the car industry which is a huge market. Such research contains both crashworthiness of a vehicle structure, biomechanical study and research on driver behavior and his/her reactions. It may be tested either by means of computer simulations or real crash experiments. Simulations are time consuming but provide recurrent test. Unfortunately, they need a validation in a form of an experiment [33], which could be expensive. Moreover, sometimes it is impossible to make a recurrent experiment and there is a considerable risk of failure, i.e. in crash tests it may reach 13% [27]. In research on a driver behavior and reaction, both questionnaire studies and simulators can be distinguished. Questionnaire research covers many issues and often relates to the simulator one, i.e.: user knowledge about ADAS [29], in-depth exploration of perceptions towards automated vehicles [4], evaluation of the HMI intuitiveness [8]. Simulator research is being used from 60’s of XX century, when development of car simulators in UCLA [32], GM Styling Staff [3], Table 3. Steady state availability versus for Case 2
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The object of planning man-power needs (labor demand), as part of employment planning, is to define the competence profiles of the personnel and other individuals employed in a company. In particular, this involves defining the requirements regarding employees’ knowledge, skills, abilities and behavior, determining the number of workers needed for various positions, and the scope of work that employees in each position have to perform. The quality of employment plans obtained in this process depends on the robustness of the production process to disruptions caused by unexpected events such as employee absences, machine failures, accidents at work, etc. To deal with these uncertainties, organizations must either hire a properly prepared staff of competent workers (with a certain redundancy of competences), or introduce on-line changes to the existing task schedule that will mitigate the effects of the disruptions. In this study, we consider the first of the above-mentioned measures, in which, by anticipating possible disruptions, an organization builds a staff of employees with specific competences, robust to a selected set of disruptions. It should be noted that planning decisions regarding the allocation of production tasks (which require specific employee competences) to resources (employees with given competences) are made in dynamically changing organizational settings [7], which involve frequent changes in the scope and structure of objectives, tasks and resources. Examples of such changes include employee absenteeism (sick leaves, accidents, maternity leaves, etc.), changes in the number of jobs, staff mobility (frequent employment changes), etc. Most of them are random and cannot be anticipated well in advance. Such events are henceforth referred to as disruptions [6, 20]. If a disruption caused by an employee’s absence results in a so-called competence gap, it is usually too late to bridge the gap by introducing appropriate changes (training, employment, outsourcing, etc.). While the existing literature describes Eryk SzwArc Grzegorz BocEwicz zbigniew BAnASzAk Jarosław wikArEk
作为就业计划的一部分，规划人力需求(劳动力需求)的目的是确定公司雇用的人员和其他个人的能力概况。具体来说，这涉及到对员工的知识、技能、能力和行为的要求，确定各个职位所需的工人数量，以及每个职位的员工必须完成的工作范围。在此过程中获得的就业计划的质量取决于生产过程对意外事件(如员工缺勤、机器故障、工作事故等)造成的中断的鲁棒性。为了处理这些不确定因素，组织必须雇佣一群准备充分的有能力的员工(具有一定的冗余能力)，或者对现有的任务时间表进行在线更改，以减轻中断的影响。在本研究中，我们考虑了上述措施中的第一个，其中，通过预测可能的中断，组织建立了具有特定能力的员工队伍，对选定的中断集保持稳健。需要注意的是，关于生产任务(需要特定员工能力)与资源(具有特定能力的员工)分配的计划决策是在动态变化的组织环境中做出的[7]，这涉及目标、任务和资源的范围和结构的频繁变化。这种变化的例子包括员工缺勤(病假、事故、产假等)、工作数量的变化、员工流动性(频繁的就业变动)等。它们中的大多数是随机的，不能提前很好地预测。这样的事件从此被称为中断[6,20]。如果一个员工的缺席导致了所谓的能力差距，那么通过引入适当的改变(培训、就业、外包等)来弥补差距通常已经太晚了。而现有文献描述的是Eryk SzwArc Grzegorz BocEwicz zbigniew BAnASzAk Jarosław wikArEk
{"title":"Competence allocation planning robust to unexpected staff absenteeism","authors":"E. Szwarc, G. Bocewicz, Z. Banaszak, J. Wikarek","doi":"10.17531/EIN.2019.3.10","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.10","url":null,"abstract":"The object of planning man-power needs (labor demand), as part of employment planning, is to define the competence profiles of the personnel and other individuals employed in a company. In particular, this involves defining the requirements regarding employees’ knowledge, skills, abilities and behavior, determining the number of workers needed for various positions, and the scope of work that employees in each position have to perform. The quality of employment plans obtained in this process depends on the robustness of the production process to disruptions caused by unexpected events such as employee absences, machine failures, accidents at work, etc. To deal with these uncertainties, organizations must either hire a properly prepared staff of competent workers (with a certain redundancy of competences), or introduce on-line changes to the existing task schedule that will mitigate the effects of the disruptions. In this study, we consider the first of the above-mentioned measures, in which, by anticipating possible disruptions, an organization builds a staff of employees with specific competences, robust to a selected set of disruptions. It should be noted that planning decisions regarding the allocation of production tasks (which require specific employee competences) to resources (employees with given competences) are made in dynamically changing organizational settings [7], which involve frequent changes in the scope and structure of objectives, tasks and resources. Examples of such changes include employee absenteeism (sick leaves, accidents, maternity leaves, etc.), changes in the number of jobs, staff mobility (frequent employment changes), etc. Most of them are random and cannot be anticipated well in advance. Such events are henceforth referred to as disruptions [6, 20]. If a disruption caused by an employee’s absence results in a so-called competence gap, it is usually too late to bridge the gap by introducing appropriate changes (training, employment, outsourcing, etc.). While the existing literature describes Eryk SzwArc Grzegorz BocEwicz zbigniew BAnASzAk Jarosław wikArEk","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123759193","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}
Lin Xiaopeng, Hongzhong Huang, Fuqiu Li, Liming Ren
{"title":"Remaining useful life prediction model of the space station","authors":"Lin Xiaopeng, Hongzhong Huang, Fuqiu Li, Liming Ren","doi":"10.17531/EIN.2019.3.17","DOIUrl":"https://doi.org/10.17531/EIN.2019.3.17","url":null,"abstract":"","PeriodicalId":309533,"journal":{"name":"Ekspolatacja i Niezawodnosc - Maintenance and Reliability","volume":"73 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124118880","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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