RFID applications to the optimization of discrete manufacturing process

2013 ◽  
Author(s):  
Cesar da Costa ◽  
Lais Reis de Oliveira
Keyword(s):  
Manufacturing Process ◽  
Discrete Manufacturing ◽  
Rfid Applications

Process Specification Language (PSL): Results of the First Pilot Implementation

1999 ◽  
Author(s):  
Craig Schlenoff ◽  
Mihai Ciocoiu ◽  
Don Libes ◽  
Michael Gruninger
Keyword(s):  
Manufacturing Process ◽  
Specification Language ◽  
Process Information ◽  
Software Applications ◽  
Process Specification ◽  
Discrete Manufacturing ◽  
Manufacturing Information ◽  
Semantic Concepts ◽  
Pilot Implementation ◽  
Share Information

Abstract In all types of communication, the ability to share information is often hindered because the meaning of information can be drastically affected by the context in which it is viewed and interpreted. This is especially true in manufacturing because of the growing complexity of manufacturing information and the increasing need to exchange this information among various software applications. Different manufacturing functions may use different terms to mean the exact same concept or use the exact same term to mean very different concepts. Often, the loosely defined natural language definitions associated with the terms contain so much ambiguity that they do not make the differences evident and/or do not provide enough information to resolve the differences. A solution to this problem is the development of a taxonomy, or ontology, of manufacturing concepts and terms along with their respective formal and unambiguous definitions. This paper focuses on the Process Specification Language (PSL) effort at the National Institute of Standards and Technology whose goal is to identify, formally define, and structure the semantic concepts intrinsic to the capture and exchange of discrete manufacturing process information. Specifically, it describes the results of the first pilot implementation, where PSL was successfully used as an interlingua to exchange manufacturing process information between the IDEF3-based ProCAP1 process modeling tool and the C++ based ILOG Scheduler.

Scheduling of Discrete Manufacturing Process for Energy Saving

2014 ◽  
Vol 556-562 ◽  
pp. 4248-4254 ◽  
Author(s):  
Long Tuo ◽  
Lu Dai ◽  
Xiong Chen
Keyword(s):  
Manufacturing Process ◽  
Ant Colony Algorithm ◽  
Flow Shop ◽  
Machining Process ◽  
Flow Shop Scheduling ◽  
Intelligent Algorithm ◽  
Total Energy Consumption ◽  
Scheduling Model ◽  
Discrete Manufacturing ◽  
Np Hard Problem

Rotor machining is a traditional discrete manufacturing process, among which large amount of non-essential energy is being wasted. The machining process belongs to pipeline production, so a flow-shop scheduling model is built to optimize it. But when there are over three machines, this will be an NP-hard problem. We introduce an improved ant-colony algorithm to find the best solution and then use the real machining data to test it. The total energy consumption is reduced by over 10% and this shows the model and intelligent algorithm work well.

Sustainability Indicators for Grinding Applied to Dressing Strategies

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
Barbara Sabine Linke
Keyword(s):  
Manufacturing Process ◽  
Sustainability Indicators ◽  
Research Papers ◽  
Material Efficiency ◽  
Holistic Approaches ◽  
Sustainability Analysis ◽  
Discrete Manufacturing ◽  
Temporal And Spatial ◽  
Process Level

Growing environmental awareness leads production engineers to focus increasingly on energy and material efficiency of manufacturing processes. However, only a few holistic approaches have been applied on the manufacturing process level and they often disregard product quality. In this study, sustainability indicators for the discrete manufacturing process of grinding are defined and discussed. Various temporal and spatial boundaries for the sustainability analysis are evaluated with regard to their effect on the results. Selected indicators, here energy and waste intensity, are then used to evaluate different dressing strategies in a case study. This study highlights the challenges in setting the boundaries for a sustainability analysis and stresses the importance of clearly defining these in research papers.

scholarly journals Quality Prediction of Discrete Manufacturing Process Based on CGAN&Catboost Hybrid Model

2021 ◽  
Vol 1757 (1) ◽  
pp. 012072
Author(s):  
Peng Xu ◽  
Zhichen Ren ◽  
Yili Shen ◽  
Wendi Yu ◽  
Lianghua He
Keyword(s):  
Hybrid Model ◽  
Manufacturing Process ◽  
Quality Prediction ◽  
Discrete Manufacturing
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