scholarly journals The Syntax of a Multi-Level Production Process Modeling Language

2020 ◽  
Author(s):  
Marko Vještica ◽  
Vladimir Dimitrieski ◽  
Milan Pisarić ◽  
Slavica Kordić ◽  
Sonja Ristić ◽  
...  
Keyword(s):  
Production Process ◽  
Process Modeling ◽  
Modeling Language ◽  
Multi Level ◽  
Level Production

Multi-level production process modeling language

2021 ◽  
pp. 101053
Author(s):  
Marko Vještica ◽  
Vladimir Dimitrieski ◽  
Milan Pisarić ◽  
Slavica Kordić ◽  
Sonja Ristić ◽  
...  
Keyword(s):  
Production Process ◽  
Process Modeling ◽  
Modeling Language ◽  
Multi Level ◽  
Level Production

Research on Capacity Balancing Model in Iron & Steel Enterprise

2009 ◽  
Vol 16-19 ◽  
pp. 49-54 ◽  
Author(s):  
Xiao Bing Liu ◽  
Hong Liang Wang
Keyword(s):  
Production Process ◽  
Production Capacity ◽  
Mathematic Model ◽  
Production Operation ◽  
Production Schedule ◽  
Valid Method ◽  
Capacity Calculation ◽  
Multi Level ◽  
Level Production ◽  
Process Level

Considering Iron & Steel Enterprise production operation situation, a multi-level mathematic model of capacity balancing and corresponding capacity balancing algorithm was proposed. The application of capacity balancing was discoursed on through making production capacity balancing in the branch factory level; production process level and machine level. And buffer pools were established to provide the possibility of capacity adjustment between various levels. With this method the difficulty of capacity calculation is solved, and provide a valid method for rapid establishment of production schedule.

BRIDGING THE GAP BETWEEN BUSINESS MODELS AND WORKFLOW SPECIFICATIONS

2004 ◽  
Vol 13 (03) ◽  
pp. 289-332 ◽  
Author(s):  
JULIANE DEHNERT ◽  
WIL M. P. VAN DER AALST
Keyword(s):  
Information System ◽  
Business Process ◽  
Process Modeling ◽  
Business Models ◽  
Formal Semantics ◽  
Business Process Modeling ◽  
Modeling Language ◽  
Correctness Criterion ◽  
Process Chains ◽  
Selection Of

This paper presents a methodology to bridge the gap between business process modeling and workflow specification. While the first is concerned with intuitive descriptions that are mainly used for communication, the second is concerned with configuring a process-aware information system, thus requiring a more rigorous language less suitable for communication. Unlike existing approaches the gap is not bridged by providing formal semantics for an informal language. Instead it is assumed that the desired behavior is just a subset of the full behavior obtained using a liberal interpretation of the informal business process modeling language. Using a new correctness criterion (relaxed soundness), it is verified whether a selection of suitable behavior is possible. The methodology consists of five steps and is illustrated using event-driven process chains as a business process modeling language and Petri nets as the workflow specification language.

Automatic Detection of Defects on Birch Wood Boards

1996 ◽  
Vol 210 (1) ◽  
pp. 45-52 ◽  
Author(s):  
D T Pham ◽  
R J Alcock
Keyword(s):  
Production Process ◽  
Visual Inspection ◽  
Automatic Detection ◽  
Adaptive Thresholding ◽  
Birch Wood ◽  
Automated Visual Inspection ◽  
Clear Wood ◽  
Vertical Profiling ◽  
Multi Level ◽  
Quality Categories

In a factory which produces veneer boards from birch wood, grading of the boards into different quality categories is usually part of the production process. To improve the efficiency of grading, attempts are being made to automate it using automated visual inspection (AVI). Integral to the process of inspection is segmentation. Segmentation is the part of the AVI process concerned with separating clear wood and defective areas in the image. This paper describes a system that is used to segment the images of birch wood boards. The system consists of four modules which are called global adaptive thresholding, multi-level thresholding, row-by-row adaptive thresholding and vertical profiling. The paper gives details of the four modules and presents the results obtained in segmenting images of a large sample of birch wood boards.

Sign in / Sign up

Export Citation Format

Share Document