Industrial Process Models—State of the Art

1975 ◽  
pp. 98-131 ◽  
Author(s):  
VERN W. WEEKMAN
Keyword(s):  
State Of The Art ◽  
Industrial Process ◽  
Process Models

scholarly journals Business Process Management: A Comprehensive Survey

2013 ◽  
Vol 2013 ◽  
pp. 1-37 ◽  
Author(s):  
Wil M. P. van der Aalst
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
State Of The Art ◽  
Cost Savings ◽  
Process Models ◽  
Fundamental Process ◽  
Comprehensive Survey

Business Process Management (BPM) research resulted in a plethora of methods, techniques, and tools to support the design, enactment, management, and analysis of operational business processes. This survey aims to structure these results and provide an overview of the state-of-the-art in BPM. In BPM the concept of a process model is fundamental. Process models may be used to configure information systems, but may also be used to analyze, understand, and improve the processes they describe. Hence, the introduction of BPM technology has both managerial and technical ramifications and may enable significant productivity improvements, cost savings, and flow-time reductions. The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey.

scholarly journals State of the Art in the Eco-Design Field: Toward Specifications for the Integration of Eco-Design in the Automotive Sector

2012 ◽  
Author(s):  
Julien Garcia ◽  
Dominique Millet ◽  
Pierre Tonnelier
Keyword(s):  
Design Process ◽  
Learning Process ◽  
Automotive Industry ◽  
State Of The Art ◽  
Design Method ◽  
Innovation Process ◽  
Process Models ◽  
Environmental Constraints ◽  
Design Tools ◽  
Structure Development

This paper lies within the integration of an eco-design method adapted to the Innovation structure at a car manufacturer. The environmental constraints in the automotive industry are more and more important (European emission standards for exhaust emissions, European directive on end-of life vehicles …). Eco-design is a new manner to design products related to the concept of sustainable development, which combines economy and ecology and put the environmental criterion alongside the classical criterions of design. The goal of this study is to identify the specifications of a strategy for integrating the dimension “Environment”. This strategy is applied in the innovation process thanks to eco-design tools which are the learning vectors for an organization, and therefore support a learning process. This process is structured with the interactions between the management of firm, the environment department, and the design team. Therefore we first make a synthesis of the different classifications of eco-design tools and use two categories: diagnosis and improvement. Second, as our goal is the integration in the Innovation structure and within a design process, we analyze some design process models and highlight the RID (Research, Innovation structure, Development) concept. Third, the main practices of several car makers are synthetized and a focus on three of them (Volvo, Ford, and Volkswagen) is made; we link their strategies with the concept of RID. Finally in the fourth part, we propose a model of a strategy for integrating eco-design practices based on the three examples and supported by a learning process.

scholarly journals THE UTILISATION OF INDUSTRIAL PROCESS MODELS IN ACQUIRING THE PRACTICAL SKILLS OF PLC PROGRAMMING

2017 ◽  
Vol 3 ◽  
pp. 483
Author(s):  
Beata Jakubiec
Keyword(s):  
Computer Simulation ◽  
Industrial Process ◽  
Process Models ◽  
Industrial Processes ◽  
Control Algorithms ◽  
Practical Skills ◽  
Industrial Facility ◽  
The Real ◽  
Plc Programming ◽  
Logic Controllers

In the paper the use of process models and computer simulation as the tools which facilitates students to learn the conditions of the industrial processes control has been presented. Such approach enables to familiarise with operation and programming of controllers of industrial process. Moreover, it also enables safe testing of control algorithms provided by logic controllers through their implementation at the real industrial facility.

Improving the quality of Business Process Models: Lesson learned from the State of the Art

2019 ◽  
Vol 25 (6) ◽  
pp. 1357-1376 ◽  
Author(s):  
Fadwa Yahya ◽  
Khouloud Boukadi ◽  
Hanêne Ben-Abdallah
Keyword(s):  
Quality Improvement ◽  
Business Process ◽  
State Of The Art ◽  
The State ◽  
Process Models ◽  
Model Quality ◽  
Content Type ◽  
Quality Improvement Process ◽  
Bp Model

Purpose The quality of a Business Process (BP) model is vital for the successful accomplishment of all its lifecycle phases. Indeed, a high-quality BP model makes its implementation, execution and evaluation easier. In the literature, the improvement of BP model quality has been dealt with using several techniques. For instance, modeling guidelines, refactoring techniques, and transformation rules are the most used ones. The purpose of this paper is to exploit existing initiatives in this field to help designers improve their BP models. Design/methodology/approach This paper draws up a systematic inventory of the existing approaches to improve the quality of BP models. Moreover, it provides a comparative evaluation with the aim of identifying the particularities of each approach as well as the common gaps in the state of the art. Finally, it proposes a guiding framework, called BP-Quality, that supports designers in improving the quality of their BP models. Findings The usability of BP-Quality is illustrated through a case study and a set of experiments. The preliminary experimental evaluation of this guiding framework shows encouraging results. Originality/value The proposed guiding framework has the merit of exploiting existing initiatives in the field of BP quality improvement. In addition, it customizes and optimizes the quality improvement process according to the particularities of each BP model.

e-Government Interoperability Framework in Lithuania

2011 ◽  
pp. 62-78
Author(s):  
Rimantas Gatautis ◽  
Elena Vitkauskaite ◽  
Genadijus Kulvietis ◽  
Demetrios Sarantis
Keyword(s):  
Service Composition ◽  
State Of The Art ◽  
National Level ◽  
Process Models ◽  
New Approach ◽  
Lessons Learnt ◽  
Standards And Guidelines ◽  
Art Analysis ◽  
To Come ◽  
Development And Management

An e-Government Interoperability Framework (eGIF) is one way to achieve e-Government interoperability. An eGIF is a set of standards and guidelines that a government uses to specify the preferred way that its agencies, citizens and partners interact with each other. In order to come up to the expectations of their stakeholders and to achieve real resolution of the evolving interoperability problems, the scope of the eGIFs needs to be extended, including service composition and discovery, development and management of semantic schemas for governmental documents, certification mechanisms and authentication standards. Moreover, a shift from a paper-based specification towards a repository of services, data schemas and process models is needed, in order to serve the ever-changing nature of governments under transformation. Upon conducting a state of the art analysis of relevant frameworks at a pan-European and national level, lessons learnt from the pioneers UK eGIF, German SAGA and Greek eGIF are presented. The proposed Lithuanian eGIF model describes new approach, outlines the technical, semantic and organization dimensions and stresses the importance of political interoperability. It also provides three layers model moving from only standards and specifications based approach to systems and coordination support elements. Finally the chapter tackles the issues that rose within stakeholders’ community in the e-Government interoperability context.

State-of-the-Art Components, Tools, and Methods for Process Mining and Semantic Modelling

2020 ◽  
pp. 59-110
Keyword(s):  
Process Mining ◽  
State Of The Art ◽  
The State ◽  
Process Models ◽  
Practical Application ◽  
Semantic Modelling ◽  
Work Done ◽  
Modelling Methods ◽  
Tools And Methods

This chapter describes the state-of-the-art technologies, tools, and methods that are closely connected to the work done in this book. The chapter describes in detail the key components of the process mining and semantic modelling methods and the different technologies that enable the practical application of the techniques. In essence, the chapter explains the main tools and mechanisms that are applied in this book, ranging from the events log to the different tools that are applied for process mining, and the existing algorithms used to discover the process models and to support the interpretations and/or further analysis of the models at semantic levels.

State-of-the-art of hydrogen management in refinery and industrial process plants

2015 ◽  
Vol 24 ◽  
pp. 346-356 ◽  
Author(s):  
Munier Elsherif ◽  
Zainuddin Abdul Manan ◽  
Mohd Zaki Kamsah
Keyword(s):  
State Of The Art ◽  
Industrial Process ◽  
Process Plants

scholarly journals Optimization-Based Business Process Model Matching

2021 ◽  
pp. 61-72
Author(s):  
Merih Seran Uysal ◽  
Dominik Hüser ◽  
Wil M.P Van der Aalst
Keyword(s):  
Business Process ◽  
Process Model ◽  
State Of The Art ◽  
Process Models ◽  
Business Process Model ◽  
Model Matching ◽  
Business Process Models ◽  
Behavioral Similarity ◽  
Label Information ◽  
Real World Datasets

The rapid increase in generation of business process models in the industry has raised the demand on the development of process model matching approaches. In this paper, we introduce a novel optimization-based business process model matching approach which can flexibly incorporate both the behavioral and label information of processes for the identification of correspondences between activities. Given two business process models, we achieve our goal by defining an integer linear program which maximizes the label similarities among process activities and the behavioral similarity between the process models. Our approach enables the user to determine the importance of the local label-based similarities and the global behavioral similarity of the models by offering the utilization of a predefined weighting parameter, allowing for flexibility. Moreover, extensive experimental evaluation performed on three real-world datasets points out the high accuracy of our proposal, outperforming the state of the art.

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