Automatic generation method of 3D process models for shaft parts based on volume decomposition

2021 ◽  
Author(s):  
He Zhang ◽  
Xiao-Bo Ge ◽  
Yuan-Ying Qiu ◽  
Xiao-Dong Shao
Keyword(s):  
Automatic Generation ◽  
Process Models ◽  
Volume Decomposition

Common Product/Process Models for Integrating Manufacturing Simulation, Process Planning and Computer Aided Design

1996 ◽  
Author(s):  
Robert V. E. Bryant ◽  
Thomas J. Laliberty
Keyword(s):  
Process Planning ◽  
Collaborative Design ◽  
Computer Aided Design ◽  
Automatic Generation ◽  
Process Models ◽  
Virtual Enterprises ◽  
Computer Aided Process Planning ◽  
Manufacturing Simulation ◽  
Computer Aided ◽  
Aided Design

Abstract Integrated Product Process Development tools which minimize downstream manufacturing risk at the earliest design stages and avoid costly Design-Build-Test cycles are essential to achieving product profitability and meeting market windows. This paper summarizes initial work performed towards the development of the Manufacturing Simulation Driver (MSD) system which will demonstrate the automatic generation and execution of distributed manufacturing simulations. These simulation models are produced by Computer Aided Process Planning (CAPP) software tools which reason about Computer Aided Design (CAD) product models and produce manufacturing “scripts” from a process and resource model of a manufacturing facility. This capability will enable emerging virtual enterprises conducting collaborative design and manufacturing to simulate and prove out the manufacturing cycle of a product prior to launching production ramp-up. 1

scholarly journals An Approach to Participatory Business Process Modeling: BPMN Model Generation Using Constraint Programming and Graph Composition

2018 ◽  
Vol 8 (9) ◽  
pp. 1428 ◽  
Author(s):  
Piotr Wiśniewski ◽  
Krzysztof Kluza ◽  
Antoni Ligęza
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Process Management ◽  
Automatic Generation ◽  
Vital Role ◽  
Process Models ◽  
Business Cases ◽  
Log File ◽  
User Friendly

Designing business process models plays a vital role in business process management. The acquisition of such models may consume up to 60% of the project time. This time can be shortened using methods for the automatic or semi-automatic generation of process models. In this paper, we present a user-friendly method of business process composition. It uses a set of predefined constraints to generate a synthetic log of the process based on a simplified, unordered specification, which describes activities to be performed. Such a log can be used to generate a correct BPMN model. To achieve this, we propose the use of one of the existing process discovery algorithms or executing the activity graph-based composition algorithm, which generates the process model directly from the input log file. The proposed approach allows process participants to take part in process modeling. Moreover, it can be a support for business analysts or process designers in visualizing the workflow without the necessity to design the model explicitly in a graphical editor. The BPMN diagram is generated as an interchangeable XML file, which allows its further modification and adjustment. The included comparative analysis shows that our method is capable of generating process models characterized by high flow complexity and can support BPMN constructs, which are sufficient for about 70% of business cases.

A Model-Driven Solution for the Automatic Generation of Executable Code from Business Process Models

2014 ◽  
pp. 213-253
Author(s):  
Javier Fabra ◽  
Valeria de Castro ◽  
Verónica Andrea Bollati ◽  
Pedro Álvarez ◽  
Esperanza Marcos
Keyword(s):  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Automatic Generation ◽  
Process Models ◽  
Business Process Models ◽  
Model Driven ◽  
Business Goals ◽  
Executable Code ◽  
The One

The business goals of an enterprise process are traced to business process models with the aim of being carried out during the execution stage. The automatic translation from these models to fully executable code that can be simulated and round-trip engineered is still an open challenge in the Business Process Management field. Model-driven Engineering has proposed a set of methodologies to solve the existing gap between business analysts and software developers, but the expected results have not been reached yet. In order to rise to this challenge, in this chapter the authors propose a solution based on the integration of three previous proposals: SOD-M, DENEB, and MeTAGeM. On the one hand, SOD-M is a model-driven method for the development of service-oriented systems. Business analysts can use SOD-M to transform their business goals into composition service models, a type of model that represents business processes. On the other hand, DENEB is a platform for the development and execution of flexible business processes, represented by means of workflow models. The authors' approach focuses on the automatic transformation of SOD-M models to DENEB workflow models, resulting in a business process that is coded by a class of high-level Petri-nets, and it is directly executable in DENEB. The model transformation process has been automated using the MeTAGeM tool, which automatically generates the set of ATL rules required to transform SOD-M models to DENEB workflows. Finally, the integration of the three proposals has been illustrated by means of a real system related to the management of medical images.

AUTOMATIC GENERATION OF OPTIMIZED BUSINESS PROCESS MODELS FROM CONSTRAINT-BASED SPECIFICATIONS

2013 ◽  
Vol 22 (02) ◽  
pp. 1350009 ◽  
Author(s):  
IRENE BARBA ◽  
CARMELO DEL VALLE ◽  
BARBARA WEBER ◽  
ANDRÉS JIMÉNEZ
Keyword(s):  
Business Process ◽  
Resource Constraints ◽  
Automatic Generation ◽  
Control Flow ◽  
Process Models ◽  
Term Basis ◽  
Static Part ◽  
Run Time ◽  
Bp Model ◽  
Declarative Specifications

Business process (BP) models are usually defined manually by business analysts through imperative languages considering activity properties, constraints imposed on the relations between the activities as well as different performance objectives. Furthermore, allocating resources is an additional challenge since scheduling may significantly impact BP performance. Therefore, the manual specification of BP models can be very complex and time-consuming, potentially leading to non-optimized models or even errors. To overcome these problems, this work proposes the automatic generation of imperative optimized BP models from declarative specifications. The static part of these declarative specifications (i.e. control-flow and resource constraints) is expected to be useful on a long-term basis. This static part is complemented with information that is less stable and which is potentially unknown until starting the BP execution, i.e. estimates related to (1) number of process instances which are being executed within a particular timeframe, (2) activity durations, and (3) resource availabilities. Unlike conventional proposals, an imperative BP model optimizing a set of instances is created and deployed on a short-term basis. To provide for run-time flexibility the proposed approach additionally allows decisions to be deferred to run-time by using complex late-planning activities, and the imperative BP model to be dynamically adapted during run-time using replanning. To validate the proposed approach, different performance measures for a set of test models of varying complexity are analyzed. The results indicate that, despite the NP-hard complexity of the problems, a satisfactory number of suitable solutions can be produced.

Manufacturing Simulations Based on Integrated Product/Process Models

1997 ◽  
Author(s):  
Benjamin Sands ◽  
Debra Stephens ◽  
Thomas J. Laliberty ◽  
Naresh Raja
Keyword(s):  
Collaborative Design ◽  
Process Development ◽  
New Products ◽  
Automatic Generation ◽  
Process Models ◽  
Virtual Enterprises ◽  
Manufacturing Simulation ◽  
Cycle Times ◽  
Design Cycle ◽  
Common Goals

Abstract Integrated Product Process Development is essential to the development of competitive products, with manufacturing considerations such as cost, quality and cycle times well understood early in the design cycle. In order to rapidly design and develop new products, diverse organizations, often separated by hundreds of miles, must find new ways of sharing ideas and knowledge and working together towards common goals. New tools must be inserted into the process to enable and facilitate a different way of doing business. This paper summarizes work performed as part of the DARPA sponsored Rapid Design Exploration and Optimization (RaDEO) program, specifically the development of the Manufacturing Simulation Driver (MSD) system which demonstrates the automatic generation and execution of distributed manufacturing simulations. The MSD system enables Integrated Process Teams (IPT’s) to quickly create detailed manufacturing simulations of new products. MSD driven simulations include modeling the flow of a product through a particular factory early in the design cycle to provide the insight to modify designs in order to alleviate manufacturing bottlenecks. This capability enables emerging virtual enterprises conducting collaborative design and manufacturing to simulate and prove out the manufacturing cycle of a product prior to launching production ramp-up. The Manufacturing Simulation Driver (MSD) system automatically populates simulatable manufacturing templates enabling manufacturability assessments of alternative candidate designs and processes to be conducted throughout the product development cycle. This capability provides design teams with early insight into aspects of the evolving design which compromises product manufacturability.

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