دانلود و نمایش مقالات مرتبط با maintenance::صفحه 1
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نتیجه جستجو - maintenance

تعداد مقالات یافته شده: 230
ردیف عنوان نوع
1 Process-oriented Knowledge Representation of the Requirement Management Phase of TOGAF-ADM: an Empirical Evaluation
بازنمایی دانش فرآیند محور فاز مدیریت نیازمندی TOGAF-ADM: یک ارزیابی تجربی-2021
The Open Group Architecture Framework (TOGAF) is one of the most used by large-scale companies Enterprise Architecture (EA) frameworks. It contains the Architecture Development Method (ADM) to represent knowledge used to analyze and build the EA for an organization. It is a very detailed method and covers all phases of EA construction and maintenance. However, the described guidelines are hard to follow as they are rich and numerous. Our goal is to provide a process-based knowledge representation of the ADM method to better guide EA professionals using TOGAF and to facilitate the TOGAF teaching with students. In our previous work, we have already proposed the process-oriented graphical representation of the requirements management (RM) phase of TOGAF-ADM. In this work, we carried out a questionnaire to evaluate the process representation of the TOGAF-ADM RM phase in comparison with its textual representation issue from the TOGAF documentation. The obtained results confirmed that process models are helpful to better represent the knowledge included in TOGAF-ADM textual guidelines; thus, practitioners have a more complete description of how to proceed while using TOGAF.
Keywords: Enterprise Architecture | TOGAF-ADM | Knowledge Representation | Process Models | Requirements Management | Questionnaire
مقاله انگلیسی
2 Urban natural resource accounting based on the system of environmental economic accounting in Northwest China: A case study of Xi’an
حسابداری منابع طبیعی شهری بر اساس سیستم حسابداری اقتصادی محیطی در شمال غربی چین: مطالعه موردی شیان-2021
Drawing lessons from the System of Environmental and Economic Accounting Central Framework (SEEA-CF) and Experimental Ecosystem Accounting (SEEA-EEA), China is carrying out a pilot project for ecosystem accounting at the provincial level. Compiling and applying the principles, methods and ecosystem accounts of natural capital accounting in Northwest cities are new explorations. This study considers the degradation and fragility of the urban ecosystem in Xi’an and discusses urban natural resource (NR) accounting in terms of the physical quantity and monetary value. We took Xi’an as a case to demonstrate how to use the SEEA to analyze NR changes and the effectiveness of local eco-environmental management policies based on the characteristics of cities. The results show that, compared with using the physical quantity, calculating the monetary value according to NR resto- ration obligation, NR maintenance obligation better reflects the utilization level of urban NR, measures resource depletion and degradation, and maximizes the utility of the accounting results. This study focuses on using NR accounting methods for urban water resources, land resources and mineral resources, and evaluating ecosystem services for purposes of ecological restoration. It lays a foundation for consolidating urban gross ecosystem product accounting results in line with the SEEA and provides support for future study.
keywords: پایتخت طبیعی | ارزش فیزیکی | ارزش پولی | رادیو | Natural capital | Physical value | Monetary value | SEEA
مقاله انگلیسی
3 The value of forest ecosystem services: A meta-analysis at the European scale and application to national ecosystem accounting
ارزش خدمات اکوسیستم جنگل: یک متاآنالیز در مقیاس اروپایی و کاربرد آن به حسابداری اکوسیستم ملی-2021
A great share of ecosystem services (ES) at the global scale is provided by forest biomes, and acknowledging the value of forest ES is critically important towards sustainable decision making. The literature inventory of forest valuation studies is extensive and thus a significant mass of knowledge is already available concerning the value of forest ES. To this end, meta-analysis is a prominent benefit transfer approach that has been employed in the past to provide value transfers of forest ES taking advantage of contemporary knowledge. For the purposes of conducting a meta-analysis, we collected 158 primary studies, originated in Europe and dated from 2000 to 2017, of which 30 provided relevant information for a statistical meta-analysis, yielding 71 value observations. The results reveal that GDP per capita and the type of ecosystem service are significant determinants in explaining the variation in forest value. We also apply the meta-analysis model results so as to estimate the ES provided by forests in the Czech Republic. We find that the total value of forest is approximately 2842 US $ ha(cid:0) 1 year(cid:0) 1, with regulation and maintenance ES being the most valuable services. We finally attempt to show the prospects of using this method for accounting purposes and illustrate the supply and use forest accounting tables based on the meta-analysis outcomes. Meta-analysis can potentially form a promising decision support tool for start-up accounts considered as a second best valuation approach. Nonetheless, the method still remains questionable due to the great variation in how primary valuation studies are reported and the lack of guidelines with reference to its application in ecosystem accounting as such.
keywords: انتقال سود | جنگل | متا رگرسیون | عرضه و استفاده از جداول | Benefit transfer | Forest | Meta-regression | Supply and use tables
مقاله انگلیسی
4 Ontology-augmented Prognostics and Health Management for shopfloor-synchronised joint maintenance and production management decisions
پیش آگهی و مدیریت سلامت با هستی شناسی تقویت شده برای تصمیمات مدیریت تولید و نگهداری مشترک هماهنگ شده با کف مغازه-2021
In smart factories, guaranteeing shopfloor-synchronised and real-time decision-making is essential to be responsive to the ever-changing internal environment, namely the shopfloor of the production system and assets. At operational level, decisions should balance counter acting objectives of maintenance and production; there- fore, their decision-making processes should be joint and coordinated, to fulfil production requirements considering the health state of the assets. The knowledge of the current state is promoted by the application of Prognostics and Health Management (PHM) as an aid to support informed decision-making. Nevertheless, PHM- purposed information is usually not complete in terms of production requirements. To support joint maintenance and production management decisions, an ontological approach is proposed. The ontology, called ORMA (Ontology for Reliability-centred MAintenance), has a modular structure, including formalisation of asset, pro- cess, and product knowledge. Via suitable relationships, rules, and axioms, ORMA can infer product feasibility based on the current health state of the assets and their functional units. ORMA is implemented in a Flexible Manufacturing Line at a laboratory scale. Therein, an integrated solution, involving a health state detection algorithm that interacts with the ontology, supports human decision-making via a web-based dashboard; joint maintenance and production management decisions can be then taken, relying on diversified information pro- vided by the PHM algorithm as well as the augmentation via ontology reasoning. The proposed ontology-based solution represents a step towards reconfigurability of smart factories where human and automated decision- making processes work in synergy.
keywords: هستی شناسی | استدلال | پیشگویی و مدیریت بهداشت | phm | نگهداری | تولید | Ontology | Reasoning | Prognostics and health management | PHM | maintenance | production
مقاله انگلیسی
5 Knowledge reuse for ontology modelling in Maintenance and Industrial Asset Management
استفاده از دانش برای مدل سازی هستی شناسی در مدیریت نگهداری و مدیریت دارایی صنعتی-2021
Maintenance and Industrial Asset Management (AM) are fundamental business processes in guaranteeing the availability of physical assets at minimum risk and cost, while balancing the interests of several stakeholders. To reach operational excellence, intra- and inter-enterprise interoperability of systems is needed to support infor- mation management and integration between several involved parties. To this end, ontology engineering is relevant since it supports interoperability at technical and semantic levels. However, ontology modelling methodologies are varied, and several best practices exist, amongst which knowledge reuse. Nevertheless, reusing extant knowledge is not completely exploited so far, causing a heterogeneous ensemble of ontologies that are not orchestrated. The present work aims at promoting the adoption of knowledge reuse for ontology modelling in maintenance and AM. Therefore, an extensive review of existing ontologies for the two targeted business processes is performed with a twofold objective: firstly, to realise a cross-industrial ontological com- pendium, and secondly to understand the state of art of ontology modelling in maintenance and AM. To support the adoption of knowledge reuse, this practice is framed in AMODO (Asset Management Ontology Development methOdology). Finally, a laboratory-sized showcase is provided to prove the usefulness of relying on knowledge reuse during the ontology development. The results show that the developed ontology is realised faster and is inherently aligned with established ontologies, towards enterprise systems interoperability. Consequently, maintenance and AM business processes may rely on information management and integration to pursue operational excellence.
keywords: هستی شناسی | استفاده مجدد از دانش | قابلیت همکاری | نگهداری | مدیریت دارایی | Ontology | Knowledge reuse | Interoperability | Maintenance | Asset management
مقاله انگلیسی
6 Reimagining the milk supply chain: Reusable vessels for bulk delivery
Reimagining زنجیره تامین شیر: ظروف قابل استفاده مجدد برای تحویل به صورت عمده-2021
Milk packaging has been analysed multiple times in pursuit of finding the most appropriate vessel from an environmental point of view. Research has concentrated on commercially available containers of 0.5 –2.5 litres, usually made from High-Density Polyethylene (HDPE), Polyethylene Terephthalate (PET), paper- based cartons, or glass, with some studies considering a reuse scheme for glass bottles. Whilst applicable for household delivery, such a reuse scheme is not practical for delivery to cafés where large volumes of milk are used every day; little information is known about transportation of bulk volumes of milk in bigger vessels such as steel churns. This study compares a proposed milk supply chain using a mix of reusable stainless steel churns and reusable glass bottles with the current supply chain that uses single- use HDPE bottles, for transportation of milk to 10 cafés belonging to The University of Sheffield. A cradle- to-grave life cycle assessment (LCA) is conducted using data obtained from the university and Our Cow Molly, a local dairy farm which delivers milk to the university. Sensitivity analysis was performed around the recycling rate of plastic bottles, water consumption for churn cleaning, the reuse rate of glass bottles and churns and the source of the on-farm electricity. The study suggests that the greenhouse gas emission can be lowered by approx. 6.5 tons of CO2 equivalent annually if the reuse scheme is applied (this equates to a 65% reduction for the processes analysed). Considerable savings are also reported in cate- gories such as water consumption, fossil resources depletion and cumulative energy demand. The reuse scheme is, however, likely to induce a similar or higher mineral resource use and higher environmental damage in the marine eutrophication category due to water treatment. Production of plastic bottles in the plastic scenario and maintenance and transport on the reusable side are the main contributors to the environmental impact. Further improvements in the reuse scenario could be achieved by reducing the amount of water used for cleaning and hence the electricity demand for water heating. The reuse scheme could also benefit environmentally from using an electric refrigerated van instead of a diesel vehicle.© 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Keywords: Life cycle assessment | Milk | Reuse | Plastic | Impact assessment | Carbon footprint
مقاله انگلیسی
7 Hybrid simulation models for spare parts supply chain considering 3D printing capabilities
مدل های شبیه سازی ترکیبی برای زنجیره تامین قطعات یدکی با توجه به قابلیت های چاپ سه بعدی-2021
In the era of Industry 4.0, 3D printing unlocks a wide array of solutions to rapidly-produce spare parts for maintenance operations. In this research, we propose a hybrid simulation approach, combining agent-based and discrete event simulation methods, to investigate how the adoption of 3D printing technologies to manufacture spare parts for maintenance operations will improve operational efficiency and effectiveness. Specifically, our framework is applied to the United States Navy’s fighter jet maintenance operations to study various network configurations, where 3D printing facilities may be centralized, decentralized, or hub configured. System performance in terms of the total cost, timeliness of delivery, and vulnerability under disruptions such as cyber- attacks and emergencies are evaluated. Lastly, the impact of 3D printing technological advancements on operational performance is investigated to obtain managerial insights.
Keywords: 3D printing | Hybrid simulation | Maintenance operations | Supply chain network configuration
مقاله انگلیسی
8 ارتقای تحلیل قابلیت اطمینان انسان برای سیستم‌های ریلی با استفاده از منطق فازی
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 15 - تعداد صفحات فایل doc فارسی: 40
اتحادیه‌ی بین‌المللی راه‌آهن در گزارش ایمنی سالانه‌ی خود بر این نکته تأکید دارد که هر ساله عامل انسانی یکی از علل اصلی حوادث ریلی به شمار می‌آید. در نتیجه، مطالعه‌ی قابلیت اطمینان انسان یک اصل اساسی بوده و بایستی در ارزیابی کامل قابلیت اطمینان برای تمامی سیستم‎‌های ریلی گنجانده شود. بااینحال، RARA (ارزیابی قابلیت اطمینان عملکرد ریلی) تنها رویکرد موجود در متون و مقالات است که عملکرد انسان را لحاظ نموده و مختص به کاربردهای ریلی است. اشکال اصلی RARA تأثیر ذهنیت متخصص و دشواری ارزیابی عددی برای پارامترهای مدل در نبود یک پایگاه داده‌ی جامع برای خطا و حوادث ترافیکی است. این مقاله یک مدل فازی نوآورانه برای ارزیابی عامل انسانی در سیستم‌های حساس به ایمنی برای کاربردهای ریلی جهت حل و فصل مشکلات بیان‌شده ارائه می‌دهد. منطق فازی امکان ساده‌سازی ارزیابی پارامترهای مدل با استفاده از متغیرهای کلامی بسیار شبیه به فرایند شناختی انسان را فراهم می‌آورد. به علاوه، این با شیوه‌ای به مراتب بهتر از روش قطعی کلاسیک با داده‌های ناقص و فاقد عدم قطعیت برخورد نموده و انتزاعی بودن ارزیابی تحلیلگر را به حداقل می‎رساند. خروجی الگوریتم پیشنهادی، نتیجه‌ی محاسبات بازه‌ای فازی، نظریه‌ی α-cut و روش فازی‌زدایی مرکز ثقل است. روش پیشنهادی برای عملکردهای انسانی انجام‌گرفته در یک سیستم پیام‌رسانی ریلی استفاده شده است. چهار اقدام انسانی و دو سناریو جهت تحلیل عملکرد الگوریتم پیشنهادی شبیه‌سازی شدند. نهایتاً نتایج این روش با روش RARA کلاسیک مقایسه شده و بیانگر نتایج سازگار با رویکردی ساده‌تر و شهودی‌تر با پیچیدگی کمتر است.
کلیدواژه ها: منطق فازی | عوامل انسانی | مهندسی قابلیت اطمینان | مهندسی راه‌آهن | تعمیرات و نگهداری
مقاله ترجمه شده
9 Pricing and free periodic maintenance service decisions for an electric-and-fuel automotive supply chain using the total cost of ownership
قیمت گذاری و تصمیمات خدمات تعمیر و نگهداری دوره ای رایگان برای یک زنجیره تامین خودروی الکتریکی و سوختی با استفاده از کل هزینه مالکیت-2021
Although subsidies have had significant impacts on the electric vehicle (EV) market share, many governments have planned to eliminate subsidies. There is a concern that unsubsidized EVs reduce the EV market share, significantly. However, purchasing an EV instead of a fuel vehicle (FV) might impose a lower total cost of ownership (TCO) on customers, depending on their vehicle usage. In this case, supply chains could optimize their decisions considering which vehicle is affordable for each customer class from the view of TCO. This study investigates optimal pricing and free periodic maintenance service (FPMS) decisions in a two-stage electric-and- fuel automotive supply chain, considering TCO to estimate vehicle market shares under customer classification with different vehicle usage patterns. Two bi-level models are developed and solved through Karush-Kuhn- Tucker equations and a reformulation-and-decomposition algorithm. Sensitivity analyses are performed considering various scenarios on energy prices and ownership periods. Results indicate that the high-usage customers are more likely to purchase an EV if the ownership period is the same for all classes. However, if low-usage customers keep the vehicle for a longer period than the others, they are more likely to purchase an EV. Both providing FPMSs by the manufacturer instead of the retailer and increasing the fuel price over time with a higher rate, compared with the electricity price and the inflation rate, improve the EV market share and reduce the total fuel consumption and emissions. Investment to produce EVs is not economical for a high price of electricity while having low fuel prices.
Keywords: Electric vehicles | Total cost of ownership | Automotive supply chain | Pricing decision | Bi-level programming | Decomposition algorithm
مقاله انگلیسی
10 Comparison of machine learning classifiers: A case study of temperature alarms in a pharmaceutical supply chain
مقایسه طبقه بندی کننده های یادگیری ماشین: مطالعه موردی هشدارهای دما در یک زنجیره تأمین دارویی-2021
Temperature deviations are critical in a pharmaceutical supply chain (SC) due to quality deterioration concerns and resulting health risks. The current solutions ensuring temperature maintenance are either labor-intensive or prone to triggering alarms that require no corrective measures, which, in turn, increase the alarm investigation costs. Machine learning (ML) methods have fared well both in the areas characterized by the execution of repetitive tasks and in the identification of false alarms; however, they have not been applied in the context of temperature monitoring in a pharmaceutical SC. In this paper, we used the real-world data of a large international logistics service provider for the period of 2013–2018 and compared the optimized performance of 10 ML classification methods in the task of false temperature alarm identification. Such additional features as temperature in the location of possible physical handling and average temperature deviation were either externally collected or estimated to enrich the models. In general, gradient boosting achieved the best performance in our evaluations, with an accuracy of 95.9% in comparison with the value of 16.6% demonstrated by the current legacy rule-based system. The feature ranking and sensitivity tests pointed to the strength of the features indicating an absolute temperature deviation and the location of cargo along the SC. The tests simulating model applications on new dissimilar observations showed various performance losses across classifiers, with the best stability retained for a new customer scenario and largest performance decreases for a new temperature range scenario.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Cold supply chain | Pharmaceutical | Temperature alarm | Rule-based monitoring | Machine learning | Prediction
مقاله انگلیسی
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