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Applying analytical hierarchy process (AHP) in selecting best maintenance strategies for newly established chemical fertilizers plants 层次分析法在新建化肥厂最佳维修策略选择中的应用
IF 1.5 Q2 Engineering Pub Date : 2021-04-29 DOI: 10.1108/JQME-06-2020-0056
A. K. Abdul Jawwad, Ibrahim AbuNaffa
PurposeThe purpose of this paper is to help newly established plants with minimal or no historical machine data select best maintenance strategies that suit their specific working setup and at the same time satisfy relevant selection criteria.Design/methodology/approachAnalytical hierarchy process (AHP) was applied successfully in this study to select the maintenance strategy at a newly established chemical fertilizers plant. Implementation started by identifying main and sub-criteria pertinent to maintenance practice in this particular industry. Pair-wise comparisons and consistency calculations were carried out on the chosen criteria and then were used to assess candidate maintenance strategies through a special scoring process. The methodology included the use of surveys, brainstorming and expert consultation.FindingsThe results have shown that the most important main criteria are cost, resources, failures, management, operations, quality and safety. The final maintenance strategy selected for the plant under consideration included a mix of condition-based predictive maintenance (PDM), time-based preventive maintenance (PM) and corrective maintenance (CM). The best balance between the three maintenance activities, which satisfies the maintenance criteria with technical applicability, was found to be 50, 23 and 19% for PDM, PM and CM, respectively.Originality/valueThe present paper is a novel application of AHP coupled with deterministic application-specific ranking for devising a procedure for selecting viable and applicable comprehensive maintenance strategies for newly established chemical fertilizers plants with no historical data on machine failures.
目的本文的目的是帮助新建立的工厂选择适合其特定工作设置的最佳维护策略,同时满足相关的选择标准。设计/方法/方法本研究成功地应用层次分析法(AHP)来选择新建的化肥厂的维修策略。实施开始于确定与该特定行业的维护实践相关的主要标准和子标准。对选择的标准进行两两比较和一致性计算,然后通过特殊的评分过程评估候选维护策略。方法包括使用调查、头脑风暴和专家协商。结果表明,最重要的主要标准是成本、资源、故障、管理、操作、质量和安全。为工厂选择的最终维护策略包括基于状态的预测性维护(PDM),基于时间的预防性维护(PM)和纠正性维护(CM)的混合。三种维护活动之间的最佳平衡,既满足维护标准又具有技术适用性,PDM, PM和CM分别为50%,23%和19%。原创性/价值本论文是AHP与确定性特定应用排序相结合的一种新应用,用于设计一个程序来选择可行的和适用的综合维护策略,用于新建的化肥工厂,没有机器故障的历史数据。
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引用次数: 6
Information as a key dimension to develop industrial asset management in manufacturing 信息化是制造业工业资产管理发展的关键维度
IF 1.5 Q2 Engineering Pub Date : 2021-04-29 DOI: 10.1108/JQME-09-2020-0095
A. Polenghi, I. Roda, M. Macchi, A. Pozzetti
The purpose of this work is to investigate industrial asset management (AM) in manufacturing. After depicting gaps for AM in this sector, the role of information as a key dimension is considered to realise a summary of challenges and advices for future development.,The work is grounded on an extensive systematic literature review. Considering the eligible documents, descriptive statistics are provided and a content analysis is performed, both based on a sector-independent normative-based framework of analysis.,AM principles, organisation and information are the dimensions defined to group ten areas of interest for AM in manufacturing. Information is the major concern for an effective AM implementation. Moreover, Internet of Things and big data management and analytics, as well as data modelling and ontology engineering, are the major technologies envisioned to advance the implementation of AM in manufacturing.,The identified challenges and advices for future development may serve to stimulate further research on AM in manufacturing, with special focus on information and data management. The sector-independent normative-based framework may also enable to analyse AM in different contexts of application, thus favouring cross-sectorial comparisons.,Industries with higher operational risk, like Oil&Gas and infrastructure, are advanced in AM, while others, like some in manufacturing, are laggard in this respect. This literature review is the first of a kind addressing AM in manufacturing and depicts the state-of-the-art to pave the way for future research and development.
本工作的目的是研究制造业中的工业资产管理(AM)。在描述了AM在该领域的差距后,信息作为一个关键维度的作用被认为是对未来发展的挑战和建议的总结。,这项工作是基于广泛系统的文献综述。考虑到符合条件的文件,提供了描述性统计数据,并进行了内容分析,两者都基于独立于部门的基于规范的分析框架。,AM原则、组织和信息是定义的维度,用于将AM在制造业中感兴趣的十个领域分组。信息是有效AM实施的主要关注点。此外,物联网和大数据管理与分析,以及数据建模和本体工程,是推进AM在制造业实施的主要技术。,所确定的挑战和对未来发展的建议可能有助于促进制造业AM的进一步研究,特别是信息和数据管理。独立于部门的基于规范的框架还可以在不同的应用背景下分析AM,从而有利于跨部门比较。,运营风险较高的行业,如石油天然气和基础设施,在AM方面领先,而其他行业,如制造业,在这方面落后。这篇文献综述是第一篇涉及制造业AM的文献,描述了为未来研发铺平道路的最新技术。
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引用次数: 4
Availability and cost assessment of systems with dormant failure undergoing sequential inspections 经过顺序检查的休眠故障系统的可用性和成本评估
IF 1.5 Q2 Engineering Pub Date : 2021-04-01 DOI: 10.1108/JQME-10-2020-0112
H. Pant, S. B. Singh
PurposeThe system encountering dormant failure subject to sequential inspections is modeled and the emphasis is made on determining the availability and long-run average cost rate for the model. The derived results are then utilized to obtain the optimal inspection period minimizing the cost.Design/methodology/approachExplicitly, a system with a functional and a failed state is taken into account. Inspections are performed to reveal the dormant failures and are assumed to be carried out at time T, T + aT, T + aT+a2 T, … where 0 < a = 1 in each cycle. Perfect repairs taking random times are performed if the system is found in a failed state during any inspection.FindingsSome theorems on the point availability, limiting availability and long-run average cost rate are obtained in the study. An illustration is shown to explain the results obtained in the proposed work. The effect of inspection time on the availability and cost rate is also analyzed graphically.Originality/valueThe availability and cost rate for a system with dormant failure under a sequential inspection policy are figured out unlike previous research.
目的对连续检查下遇到休眠故障的系统进行建模,重点确定模型的可用性和长期平均成本率。然后利用所得到的结果求出成本最小的最优检测周期。设计/方法学/方法明确地,一个具有功能和失败状态的系统被考虑在内。执行检查以显示休眠故障,并假定在时间T, T+ at, T+ at +a2 T,…进行检查,其中每个周期中的0 < a = 1。如果在任何检查过程中发现系统处于故障状态,则执行随机时间的完美维修。得到了一些关于点可用性、极限可用性和长期平均成本率的定理。给出了一个例子来解释在提出的工作中获得的结果。分析了检测时间对可用性和成本率的影响。不同于以往的研究,本文计算出了在顺序检查策略下具有休眠故障的系统的可用性和成本率。
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引用次数: 5
Toward a framework for a maintenance architecture 维护架构的框架
IF 1.5 Q2 Engineering Pub Date : 2021-03-25 DOI: 10.1108/JQME-01-2020-0004
K. V. Sigsgaard, I. Soleymani, N. Mortensen, W. Khalid, K. B. Hansen
PurposeThis paper aims to investigate how the product architecture and service architecture methodology can be applied in strategic maintenance optimization to reduce the non-value-adding variance of maintenance, decrease the complexity and ensure alignment in maintenance practices in asset-intensive companies. The proposed maintenance architecture model will make it possible to make data-driven decisions regarding how the equipment should be grouped and maintained.Design/methodology/approachThe research approach is considered exploratory, and the main research strategy is a case study. The maintenance architecture model is developed based on the product architecture methodology and then tested in three different cases in the oil and gas sector.FindingsThrough the maintenance architecture model, it is possible to pair a quantitative data-driven approach with qualitative understanding of dependencies between equipment, maintenance actions and maintenance work management processes, enabling a more holistic and top-down data-driven approach to improving maintenance, than what currently exists in literature.Originality/valueThe proposed model provides a contribution to the understanding of maintenance and is positioned at a detailed level, different from other maintenance improvement models. This model is focused on the main drivers of maintenance that can be utilized at the strategic level compared to optimization of maintenance for individual pieces of equipment.
目的本文旨在研究如何将产品架构和服务架构方法应用于战略维护优化,以减少维护的非增值差异,降低复杂性,并确保资产密集型公司维护实践的一致性。拟议的维护架构模型将有可能就如何对设备进行分组和维护做出数据驱动的决策。设计/方法论/方法研究方法被认为是探索性的,主要的研究策略是案例研究。维护架构模型是基于产品架构方法开发的,然后在石油和天然气行业的三种不同情况下进行测试。发现通过维护架构模型,可以将定量数据驱动的方法与对设备、维护行动和维护工作管理流程之间相关性的定性理解相结合,从而实现比目前文献中更全面、自上而下的数据驱动方法来改进维护。独创性/价值所提出的模型有助于理解维护,并定位在详细的层面,不同于其他维护改进模型。该模型侧重于维护的主要驱动因素,与单个设备的维护优化相比,这些驱动因素可以在战略层面上使用。
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引用次数: 7
Simultaneous scheduling of maintenance crew and maintenance tasks in bus operating companies: a case study 公交运营公司维修人员与维修任务同时调度的案例研究
IF 1.5 Q2 Engineering Pub Date : 2021-03-24 DOI: 10.1108/JQME-09-2020-0099
Rodrigo Martins, F. B. Fernandes, V. Infante, A. R. Andrade
PurposeThe purpose of this paper is to describe an integer linear programming model to schedule the maintenance crew and the maintenance tasks in a bus operating company.Design/methodology/approachThe proposed methodology relies on an integer linear programming model that finds feasible maintenance schedules. It minimizes the costs associated with maintenance crew and the costs associated with unavailability. The model is applied in a real-world case study of a Portuguese bus operating company. A constructive heuristic approach is put forward, based on solving the maintenance scheduling problem for each bus separately.FindingsThe heuristic finds better solutions than the exact methods (based on branch-and-bound techniques) in a much lower computational time.Practical implicationsThe results suggest the relevance of such heuristic approaches for maintenance scheduling in practice.Originality/valueThis proposed model is an effective decision-making support method that provides feasible maintenance schedules for the maintenance technicians and for the maintenance tasks in a fleet of buses. It also complies with several operational, technical and labour constraints.
目的利用整数线性规划模型对某客车运营公司的维修人员和维修任务进行调度。设计/方法/方法所提出的方法依赖于一个整数线性规划模型来找到可行的维护计划。它将与维护人员相关的成本和与不可用性相关的成本降至最低。将该模型应用于葡萄牙某公交运营公司的实际案例研究。提出了一种建设性的启发式方法,分别求解各母线的维修调度问题。发现启发式方法比精确方法(基于分支定界技术)在更低的计算时间内找到更好的解决方案。实际意义结果表明,这种启发式方法的相关性维护调度在实践中。原创性/价值该模型是一种有效的决策支持方法,为维修技术人员和车队的维修任务提供了可行的维修计划。它还符合若干操作、技术和劳动力限制。
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引用次数: 3
An improved imperfect maintenance strategy for multiperiod randomly failing equipment with stochastic repair times 一种改进的多周期随机故障随机维修策略
IF 1.5 Q2 Engineering Pub Date : 2021-03-15 DOI: 10.1108/JQME-10-2020-0105
S. Dellagi, M. N. Darghouth
PurposeIn this paper, a maintenance strategy based on improved imperfect maintenance actions with stochastic repair times for multiperiod randomly failing equipment is developed. The main objective is to minimize the total maintenance cost by jointly finding the optimal preventive maintenance (PM) cycle and planning horizon.Design/methodology/approachA model based on the mathematical theory of reliability is developed to minimize the total maintenance cost by jointly finding the optimal couple: PM cycle T* and planning horizon H*. The proposed model aims to characterize the evolutionary impact of imperfect PM actions on the equipment failure rate and the resulting mean number of failures. The conventional threshold accepting (TA) algorithm is implemented to solve the proposed model. A numerical example for a given set of input parameters is presented in order to show the usefulness of the proposed model. A sensitivity analysis of some of the key parameters is performed to demonstrate the coherence of the developed maintenance policy.FindingsThe obtained results showed a sensitive trade-off between PM frequency and the total maintenance cost. Performing PM actions more frequently helps significantly to reduce the expected number of corrective maintenance actions and the corresponding total cost. It has also been found that improving the efficiency of the PM actions allows for maintaining the equipment less frequently by increasing the time between successive PM actions.Research limitations/implicationsGiven the complexity of the objective function to be minimized and the stochastic nature of the model's parameters, the authors limited this study to equally cyclic production periods over the planning horizon.Practical implicationsThe present model aims to provide an integrated maintenance/production comprehensive framework to assist planners in establishing maintenance schedules considering multiperiod randomly failing production systems and the evolutionary impact of imperfect PM actions on the equipment failure rate.Originality/valueContrary to the majority of existing works in the literature dealing with maintenance strategies, the authors consider that repair times are stochastic to provide a more realistic framework. In addition, the developed model considers the impact of imperfect maintenance on the equipment's mean time to failure. Thus, the evolutionary impact of imperfect PM actions on the equipment failure rate and the resulting mean number of failures is characterized. Simultaneously, the production planning horizon along with the length of each PM cycle is optimized in order to minimize the total maintenance cost over the planning horizon.
目的针对多周期随机故障设备,提出了一种基于改进的不完善维修行为和随机维修时间的维修策略。主要目标是通过共同寻找最优的预防性维护周期和规划范围来最小化总维护成本。设计/方法/方法基于可靠性数学理论,通过共同寻找PM周期T*和规划地平线H*的最优组合,建立了一个最小化总维护成本的模型。提出的模型旨在描述不完善的PM行为对设备故障率和由此产生的平均故障数的演化影响。采用传统的阈值接受算法求解该模型。为了说明该模型的有效性,文中给出了一组给定输入参数的数值算例。对一些关键参数进行了敏感性分析,以证明所开发的维护策略的一致性。研究结果表明,维修频率和总维护成本之间存在敏感的权衡关系。更频繁地执行PM操作有助于显著减少预期的纠正性维护操作数量和相应的总成本。还发现,通过增加连续PM动作之间的时间,提高PM动作的效率可以减少维护设备的频率。研究局限性/启示考虑到最小化目标函数的复杂性和模型参数的随机性,作者将本研究限制在计划范围内的等循环生产周期。实际意义本模型旨在提供一个集成的维护/生产综合框架,以帮助计划人员在考虑多周期随机故障生产系统和不完善的PM行动对设备故障率的演化影响的情况下建立维护计划。独创性/价值与大多数现有文献中处理维修策略的作品相反,作者认为维修时间是随机的,以提供一个更现实的框架。此外,所建立的模型还考虑了不完善维护对设备平均无故障时间的影响。因此,不完善的PM行为对设备故障率和由此产生的平均故障次数的演化影响是表征的。同时,优化生产计划范围以及每个PM周期的长度,以最小化计划范围内的总维护成本。
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引用次数: 4
Reliability assessment for multi-state automatic ticket vending machine (ATVM) through software and hardware failures 基于软硬件故障的多状态自动售票机可靠性评估
IF 1.5 Q2 Engineering Pub Date : 2021-03-02 DOI: 10.1108/JQME-08-2020-0089
Amit Kumar, Pardeep Kumar
PurposeThis paper presents the performance analysis of the automatic ticket vending machine (ATVM) through the functioning of its different hardware and software failures.Design/methodology/approachFrequent failures in the working of ATVM have been observed; therefore, the authors of the paper intend to analyze the performance measures of the same. Authors have developed a mathematical model based on different hardware and software failures/repairs, which may occur during the operation, with the help of the Markov process. The developed model has been solved for two kinds of failure/repair rates namely variable failures (very much similar to real-time failure) and constant failures. Lagrange's method and Laplace transformation are used for the solution of the developed model.FindingsReliability and mean time to failure of the ATVM are determined. Sensitivity analysis for ATVM is also carried out in the paper. Critical components of the ATVM, which affect the performance of the same, in terms of reliability and MTTF are also identified.Originality/valueA mathematical model based on different hardware and software failures/repairs of ATVM has been developed to analyze its performance, which has not been done in the past.
本文通过对自动售票机(ATVM)不同硬件和软件故障的功能进行性能分析。设计/方法/方法ATVM工作中经常出现故障;因此,本文的作者打算对其绩效指标进行分析。作者在马尔可夫过程的帮助下,建立了一个基于运行过程中可能发生的不同硬件和软件故障/维修的数学模型。所建立的模型求解了两种故障/修复率,即可变故障(非常类似于实时故障)和恒定故障。利用拉格朗日法和拉普拉斯变换对所建立的模型进行求解。研究结果确定了ATVM的可靠性和平均无故障时间。本文还对ATVM进行了灵敏度分析。在可靠性和MTTF方面,还确定了影响ATVM性能的关键组件。独创性/价值基于ATVM的不同硬件和软件故障/修复,建立了一个数学模型来分析其性能,这是过去没有做过的。
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引用次数: 2
The impact of early failures on maintenance costs: an empirical study in Latin America 早期故障对维修成本的影响:拉丁美洲的实证研究
IF 1.5 Q2 Engineering Pub Date : 2021-02-11 DOI: 10.1108/JQME-08-2020-0086
Rodrigo E. Peimbert-García, Jesús Isaac Vázquez-Serrano, J. Limón-Robles
PurposeLiterature shows that the economics of early failures in maintenance and electric utilities have not been deeply analyzed. This study aims to focus on quantifying the economic impact that early failures in current transformers have on total maintenance costs. The empirical study is conducted in a regional transmission division of an electric utility located in Mexico.Design/methodology/approachThe utility's database was accessed to collect 219 maintenance records. Clustering techniques were used to identify early failures from a bimodal distribution of failures. Confirmatory goodness-of-fit procedures followed the analysis, and finally, direct and opportunity costs were estimated by adapting the cost-of-quality (PAF) Model.FindingsAround 11% of all maintenance activities are triggered by early failures, and they account for up to US$2.2m during the eight-year period under study, which represents 16% of total maintenance costs. Additionally, opportunity costs represent close to two-thirds of the total costs due to early failures. This was obtained after finding and validating a clear-cut border of 3.5 months between early failures and the rest.Originality/valueFailures in energy grids and power transmission can have a large economic impact on the power industry and the society in general. Thus, the maintenance function in equipment such as current transformers is a crucial entry of the budget of any electric utility. This study is one of the very few that highlights the magnitude and importance of direct and opportunity costs derived from early failures.
目的文献表明,维修和电力设施早期故障的经济性尚未得到深入分析。本研究旨在量化电流互感器早期故障对总维护成本的经济影响。该实证研究是在墨西哥一家电力公司的区域输电部门进行的。设计/方法/方法访问了公用事业公司的数据库,收集了219份维护记录。聚类技术用于从故障的双峰分布中识别早期故障。在分析之后采用了验证性拟合优度程序,最后通过调整质量成本(PAF)模型来估计直接成本和机会成本。发现所有维护活动中约11%是由早期故障引发的,在研究的八年期间,这些故障高达220万美元,占总维护成本的16%。此外,由于早期失败,机会成本占总成本的近三分之二。这是在发现并验证了早期故障和剩余故障之间3.5个月的明确边界后得出的。原始性/价值电网和输电故障会对电力行业和整个社会产生巨大的经济影响。因此,电流互感器等设备的维护功能是任何电力公司预算的重要组成部分。这项研究是少数几个强调早期失败产生的直接成本和机会成本的规模和重要性的研究之一。
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引用次数: 2
Scientific approach using AHP to prioritize low volume rural roads for pavement maintenance 运用层次分析法对小容量农村公路进行养护排序的科学方法
IF 1.5 Q2 Engineering Pub Date : 2021-01-26 DOI: 10.1108/JQME-12-2019-0111
Akhilesh Nautiyal, S. Sharma
PurposeA large number of roads have been constructed in the rural areas of India to connect habitations with the nearest major roads. With time, the pavements of these roads have deteriorated and they need some kind of maintenance, although they all do not need maintenance at the same time, as they have all not deteriorated to the same level. Hence, they have to be prioritized for maintenance.Design/methodology/approachIn order to present a scientific methodology for prioritizing pavement maintenance, the factors affecting prioritization and the relative importance of each were identified through an expert survey. Analytic Hierarchy Process (AHP) was used to scientifically establish weight (importance) of each factor based on its relative importance over other factors. The proposed methodology was validated through a case study of 203 low volume rural roads in the state of Himachal Pradesh in India. Ranking of these roads in order of their priority for maintenance was presented as the final result.FindingsThe results show that pavement distresses, traffic volume, type of connectivity and the socioeconomic facilities located along a road are the four major factors to be considered in determining the priority of a road for maintenance.Research limitations/implicationsThe methodology provides a comprehensive, scientific and socially responsible pavement maintenance prioritization method which will automatically select roads for maintenance without any bias.Practical implicationsTimely maintenance of roads will also save budgetary expenditure of restoration/reconstruction, leading to enhancement of road service life. The government will not only save money but also provide timely benefit to the needy population.Social implicationsRoad transportation is the primary mode of inland transportation in rural areas. Timely maintenance of the pavements will be of great help to the socioeconomic development of rural areas.Originality/valueThe proposed methodology lays special emphasis on rural roads which are small in length, but large in number. Instead of random, a scientific method for selection of roads for maintenance will be of great help to the public works department for better management of rural road network.
目的在印度农村地区修建了大量道路,将居民区与最近的主要道路连接起来。随着时间的推移,这些道路的路面已经恶化,需要进行某种维护,尽管它们不需要同时进行维护,因为它们都没有恶化到相同的水平。因此,它们必须优先进行维护。设计/方法/方法为了提供一种科学的方法来确定路面维护的优先级,通过专家调查确定了影响优先级的因素及其相对重要性。运用层次分析法(AHP),根据各因素相对于其他因素的相对重要性,科学地确定各因素的权重(重要性)。通过对印度喜马偕尔邦203条低交通量农村道路的案例研究,验证了所提出的方法。最终结果是按照优先维护顺序对这些道路进行排名。结果表明,路面破损、交通量、连接类型和道路沿线的社会经济设施是确定道路维修优先级时需要考虑的四个主要因素。研究局限性/含义该方法提供了一种全面、科学和对社会负责的路面维护优先级方法,该方法将在没有任何偏见的情况下自动选择道路进行维护。实际意义及时维护道路也将节省恢复/重建的预算支出,从而延长道路使用寿命。政府不仅会节省开支,而且会及时为有需要的人提供福利。社会影响公路运输是农村内陆运输的主要方式。及时维护路面将对农村地区的社会经济发展有很大帮助。独创性/价值所提出的方法特别强调长度小但数量多的农村道路。科学的养护道路选择方法将有助于公共工程部门更好地管理农村公路网,而不是随机选择。
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引用次数: 8
Measuring preconceived beliefs on the results of overall equipment effectiveness – A case study in the automotive manufacturing industry 测量对整体设备有效性结果的先入为主的信念-汽车制造业的一个案例研究
IF 1.5 Q2 Engineering Pub Date : 2021-01-21 DOI: 10.1108/JQME-03-2020-0016
M. Bengtsson, L. Andersson, Pontus Ekström
Purpose – The purpose of the study is to test if it, by the use of a survey methodology, is possible to measure managers’ awareness on, and specifically if there exist preconceived beliefs on, overall equipment effectiveness (OEE) results. The paper presents the design of the survey methodology as well as a test of the survey in one case company. Design/methodology/approach – Actual OEE logs from a case company are collected and a survey on the data is designed and managers at the same case company are asked to answer the survey. The survey results are followed-up by an interview study in order to get deeper insights to both the results of the survey as well as the OEE strategy at the case company. Findings – The findings show that the managers at this particular case company, on a general level, does not suffer too much from preconceived beliefs. However, it is clear that the managers have a preconceived belief that lack of material is logged as a loss much more often than what it actually is. Research limitations/implications – The test has only been performed with data from one case company within the automotive manufacturing industry and only the managers at that case company has been active in the test. Practical implications –The surveymethodology can be replicated and used by other companies to find out how aware their employees are on their OEE results and if possible preconceived beliefs exists. Originality/value – To the authors’ knowledge, this is the first attempt at measuring if preconceived beliefs on OEE results exist.
目的-该研究的目的是测试是否可以通过使用调查方法来衡量管理人员对整体设备有效性(OEE)结果的认识,特别是是否存在先入为主的信念。本文介绍了调查方法的设计,并在一个案例公司中对调查结果进行了检验。设计/方法/方法-收集案例公司的实际OEE日志,设计数据调查,并要求同一案例公司的经理回答调查。调查结果通过访谈研究跟进,以便对调查结果和案例公司的OEE战略有更深入的了解。调查结果-调查结果表明,在这个特殊案例公司的经理,在一般水平上,没有太多的先入为主的信念。然而,很明显,管理人员有一种先入为主的信念,认为缺乏材料被记录为损失的情况要比实际情况多得多。研究限制/影响-该测试仅使用了汽车制造行业中一家案例公司的数据,并且只有该案例公司的管理人员参与了测试。实际意义-调查方法可以被其他公司复制和使用,以了解他们的员工对他们的OEE结果的了解程度,以及是否可能存在先入为主的信念。原创性/价值——据作者所知,这是第一次尝试衡量是否存在对电子商务效率结果的先入为主的信念。
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引用次数: 3
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Journal of Quality in Maintenance Engineering
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