با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Organizational knowledge in the I4:0 using BPMN: a case study
دانش سازمانی در I4:0 با استفاده از BPMN: مطالعه موردی-2021 expert operators is not transferred quickly and easily to newly arrived operators. This sharing of knowledge could help in the faster
adaptation of humans to workstations and could bring the more agile accommodation of artificial intelligence techniques to allow
the self-learning. The Business Process Management (BPM) is a technique which enables the representation and analysis of
processes, has been already mention in the literature as a useful tool that can facilitate the Knowledge Management. A process
repository can be accomplished with BPM, thus promoting agile and fast knowledge transfer in a context where new skills emerge
and must be quickly taken up. This paper intends to show the development of the working instructions maps, with workers’ tacit
knowledge, using the BPMN 2.0, in a chemical industry. This representation allowed the creation of a knowledge’s repository
which will help the company (in a I4.0 environment) to deal with the most existing workforce rotation, thus preserving most of the
knowledge within the company itself.
© 2019 The Authors. Published by Elsevier B.V.
Keywords: Knowledge Management | Industry 4.0 | Business Process Management | BPMN 2.0 | Organizational Knowledge |
مقاله انگلیسی |
2 |
مدیریت فرآیند کسب و کار: سیر تکاملی یک رشته
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 5 - تعداد صفحات فایل doc فارسی: 16 مدیریت فرآیند کسب و کار (BPM) یک فلسفه مدیریت را در بر می گیرد که توسط طیف وسیعی از روش ها، تکنیک ها و ابزار پشتیبانی می شود. دانشگاهیان به طور مداوم در حال گسترش این رپرتوار هستند. در این مقاله مروری، مضامینی که توسعه رشته BPM را در طی سالها مشخص میکنند ترسیم میکنند: سیستمهای BPM، مدلسازی فرآیند، طراحی فرآیند، هماهنگی و قابلیت همکاری، مدیریت مدل، استخراج فرآیند، و فناوریهای جدید. هر یک از موضوعات در این بررسی اجمالی بر اساس مقالاتی که از زمان پیدایش آن، در حال حاضر 40 سال پیش، در کامپیوتر در صنعت ظاهر شده است، مشخص می شود. این مضامین با هم چشم اندازی از یک رشته پر رونق و در حال تکامل ارائه می دهند.
کلید واژه ها: مدیریت فرآیند کسب و کار | مدل سازی فرآیند | طراحی فرآیند | استخراج فرآیندی | BPMS |
مقاله ترجمه شده |
3 |
A knowledge-intensive adaptive business process management framework
چارچوب مدیریت فرآیند تجاری تطبیقی مبتنی بر دانش-2021 Business process management has been the driving force of optimization and operational efficiency for
companies until now, but the digitalization era we have been experiencing requires businesses to be
agile and responsive as well. In order to be a part of this digital transformation, delivering new levels
of automation-fueled agility through digitalization of BPM itself is required. However, the automation
of BPM cannot be achieved by solely focusing on process space and classical planning techniques. It
requires a holistic approach that also captures the social aspects of the business environment, such as
corporate strategies, organization policies, negotiations, and cooperation. For this purpose, we combine
BPM, knowledge-intensive systems and intelligent agent technologies, and yield one consolidated
intelligent business process management framework, namely agileBPM, that governs the entire BPM
life-cycle. Accordingly, agileBPM proposes a modeling methodology to semantically capture the
business interests, enterprise environment and process space in accordance with the agent-oriented
software engineering paradigm. The proposed agent-based process execution environment provides
cognitive capabilities (such as goal-driven planning, norm compliance, knowledge-driven actions, and
dynamic cooperation) on top of the developed business models to support knowledge workers’ multicriteria decision making tasks. The context awareness and exception handling capabilities of the
proposed approach have been presented with experimental studies. Through comparative evaluations,
it is shown that agileBPM is the most comprehensive knowledge-intensive process management
solution.
keywords: مدیریت فرآیند کسب و کار | فرایندهای دانش فشرده | مدل سازی و اجرای فرآیند | انطباق فرآیند | مدیریت فرآیند کسب و کار مبتنی بر عامل | مدیریت فرآیند کسب و کار چابک | Business process management | Knowledge-intensive processes | Process modeling and execution | Process adaptation | Agent-based business process management | Agile business process management |
مقاله انگلیسی |
4 |
Testing an instrument to measure the BPMS-KM Support model
تست ابزار برای اندازه گیری مدل پشتیبانی BPMS-KM-2021 BPMS (Business Process Management System) represents a type of software that automates the organizational
processes looking for efficiency. Since the knowledge of organizations lies in their processes, it seems probable
that a BPMS can be used to manage the knowledge applied in these processes. Through the BPMS-KM Support
Model, this study aims to determine the reliability and validity of a 65-item instrument to measure the utility and
the use of a BPMS for knowledge management (KM). A questionnaire was sent to 242 BPMS users and to
determine its validity, a factorial analysis was conducted. The results showed that the measuring instrument is
trustworthy and valid. It represents implications for research, since it provides an instrument validated for
research on the success of a BPMS for KM. There would also be practical implications, since managers can
evaluate the use of BPMS, in addition to automating processes to manage knowledge. keywords: مدیریت فرآیند کسب و کار | مدیریت دانش | تجزیه و تحلیل فاکتوریل | ابزار اندازه گیری | اعتبار سنجی مقیاس | Business Process Management | Knowledge management | Factorial analysis | Measuring instrument | Scale validation |
مقاله انگلیسی |
5 |
Customer-centric prioritization of process improvement projects
اولویت بندی مشتری محور پروژه های بهبود فرآیند-2020 Today, customers can conveniently compare products and decide how to interact with companies. With customer
centricity becoming an important success factor, companies must drive customer satisfaction not only
through excellent products but also through customer-centric processes. As many companies face an abundance
of action possibilities, fast-changing customer needs, and scarce resources, guidance regarding the customercentric
prioritization of process improvement projects is in high need. As existing approaches predominantly
focus on process efficiency, we propose a decision model that accounts for the effects of process improvement on
customer centricity in line with justificatory knowledge on value-based process decision-making, project portfolio
selection, and the measurement of customer satisfaction. When building the decision model, we adopted
the design science paradigm and used multi-criteria decision analysis as well as normative analytical modeling as
research methods. We evaluated the model by discussing it with practitioners, by building a software prototype,
and by applying it at a German insurance company. Overall, our research extends the prescriptive knowledge on
process prioritization and customer process management. Keywords: Business process management | Business process improvement | Process decision-making | Customer centricity | Project portfolio selection | Kano model |
مقاله انگلیسی |
6 |
Firm-level capabilities towards big data value creation
قابلیت های سطح شرکت برای ایجاد ارزش کلان داده-2020 Big data has played an increasingly important role in using data to improve business value. In response to several big data challenges, the purpose of this study is to identify firm-level capabilities required to create value from big data. The adjacent theories of business process management and IT business value underpinned the study, together with an in-depth case study that led to the identification of twenty-four types of capabilities related to IT, process, performance, human, strategic, and organizational practices. The findings confirmed the application of practices and capabilities of adjacent theories, as well as certain practices and attributes that were both changed and reinforced at the intersection of big data. As an outstanding additional support to the extant big data studies, this work empirically confirms and portrays hitherto unexplored capabilities of big data and set their roles, thus providing a holistic overview of firm-level capabilities that are required for big data value creation. Keywords: Big data | Supply chain management | Operations management | Value creation | Business analytics | Capabilities |
مقاله انگلیسی |
7 |
Performance evaluation of web service response time probability distribution models for business process cycle time simulation
ارزیابی عملکرد مدلهای توزیع احتمال پاسخ زمان سرویس وب برای شبیه سازی چرخه فرآیند کسب و کار-2020 Context: The adoption of Business Process Management (BPM) is enabling companies to improve the pace
of building new capabilities, enhancing existing ones, and measuring process performance to identify bottlenecks. It is essential to compute the cycle time of the process to assess the performance of a business
process. The cycle time typically forms part of service level agreements (SLAs) and is a crucial contributor
to the overall user experience and productivity. The simulation technique is versatile and has broad applicability for determining realistic cycle time using historical data of web service response time. BPM tools
offer inadequate support for modeling input data used in simulation in the form of descriptive statistics or standard probability distributions like normal, lognormal, which results in inaccurate simulation
results.
Objective: We evaluate the effectiveness of different parametric and non-parametric probability distributions for modeling data of web service response time. We further assess how the choice of probability
distribution impacts the accuracy of the simulated cycle time of a business process. The work is the first
of such a study using real-world data for encouraging Business Process Simulation Specification (BPSim)
standard setters and BPM tools to enhance their support for such distributions in their simulation engine.
Method: We consider several parametric and non-parametric distributions and explore how well these
distributions fit web service response time from extensive public and a real-world dataset. The cycle time
of the business process of a real-world system is simulated using the identified distributions to model the
underlying web service data.
Results: Our results show that kernel distribution is the most suitable choice, followed by Burr. Kernel
outperforms Burr by 86.63% for the public and 84.21% for the real-world dataset. The choice of distribution affects the percentile ranks like 90 and above than the median. The use of single-point values
underestimates cycle time values at higher percentiles.
Conclusion: Based on our empirical results, we recommend the addition of kernel and Burr to the current
list of distributions supported by BPSim and BPM tools. Keywords: Simulation input modeling | Parametric distributions | Non-parametric distributions | Performance evaluation | Web service response time | Cycle time |
مقاله انگلیسی |
8 |
BPRIM: An integrated framework for business process management and risk management
BPRIM: چارچوبی یکپارچه برای مدیریت فرآیند تجارت و مدیریت ریسک-2020 Enterprise engineering deals with the design of processes which aim to improve the structure and efficiency of business organizations. It develops approaches based on modeling techniques, particularly on business process modeling, to ensure the quality and the global consistency of enterprise strategies and expectations. Nowadays, risk consideration in enterprise engineering is a growing concern since the business environment is becoming more and more competitive, complex, and unpredictable. To face this concern, a paradigm named risk-aware business process management (R-BPM) has recently emerged. It seeks to integrate the two traditionally isolated fields of risk management and business process management. Despite the significant benefits that can arise from the use of R-BPM, it suffers from a lack of solid scientific foundations and dedicated tooling. This present research work contributes to bridging that gap in a twofold way: (i) by establishing the BPRIM Business Process-Risk Integrated Method framework, and (ii) by designing a dedicated tool, named adoBPRIM which supports the efficient application of the BPRIM framework. This paper first comprehensively presents the foundation of BPRIM which is based on three main components and, secondly, its dedicated tool adoBPRIM which was designed using the ADOxx meta-modeling platform. An evaluation with a real case study in the health care domain shows the relevance of the methodological framework.© 2020 Elsevier B.V. All rights reserved. Keywords: Business process management | Enterprise risk management | Risk-aware business process management | Model-driven engineering | Meta-modeling | Medication-use process |
مقاله انگلیسی |
9 |
Using business process models for the specification of manufacturing operations
استفاده از مدل های فرآیند کسب و کار برای مشخصات عملیات تولید-2020 Business process management (BPM) is often employed as a driver of integration, by articulating business processes that cross the boundaries of individual business functions. Business process modelling
as part of BPM has shown its potential in administrative environments, such as banking and insurance
organizations. However, business process modelling remains unproven for all the processes encountered
in manufacturing enterprises, including the physical operations processes that transform input materials into the required product. These processes have physical characteristics that make them essentially
different from administrative processes with a highly digital nature, like limited physical buffers for intermediate products and transportation times between activities. In this paper, we present an approach to
use business process models for the specification of these physical operations processes. Our approach is
based on a catalogue of common process fragments that are adapted to the physical nature of manufacturing. These process fragments serve as reusable building blocks for the specification of manufacturing
processes. We use the industry standard Business Process Model and Notation (BPMN) to represent both
fragments and processes. We demonstrate the use of our catalogue of fragments by modelling and enacting the real-world processes of ten manufacturing organizations. The results show strong support for
the use of business process models for both representation and enactment of manufacturing processes.
This work closes part of the gap between the support for administrative processes and physical industrial
processes, thus contributing to the advent of the smart manufacturing concept in the context of Industry
4.0. Keywords: Manufacturing operations | Business process modelling | Cross-functional process management |
مقاله انگلیسی |
10 |
Runtime verification for business processes utilizing the Bitcoin blockchain
تأیید زمان اجرا برای فرآیندهای تجاری با استفاده از بلاکچین بیت کوین-2020 The usage of process choreographies and decentralized Business Process Management Systems has been named as an alternative to centralized business process orchestration. In choreographies, control over a process instance is shared between independent parties, and no party has full control or knowledge during process runtime. Nevertheless, it is necessary to monitor and verify process instances during runtime for purposes of documentation, accounting, or compensation.To achieve business process runtime verification, this work explores the suitability of the Bitcoin blockchain to create a novel solution for choreographies. The resulting approach is realized in a fully- functional software prototype. This software solution is evaluated in a qualitative comparison. Findings show that our blockchain-based approach enables a seamless execution monitoring and verification of choreographies, while at the same time preserving anonymity and independence of the process participants. Furthermore, the prototype is evaluated in a performance analysis.© 2017 Elsevier B.V. All rights reserved. Keywords: Choreographies | Blockchain | Business process management | Runtime verification |
مقاله انگلیسی |