A XML-Based Shop Floor Adaptive Scheduler Design

2007 ◽  
Author(s):  
Weida Wang ◽  
Xinhua Liu ◽  
Wenjian Liu ◽  
Yang Luo
Keyword(s):  
Adaptive Scheduling ◽  
Shop Floor ◽  
Dispatching Rule ◽  
Process Plan ◽  
Heterogeneous Information ◽  
Function Modules ◽  
On Line ◽  
Modern Manufacturing ◽  
Scheduler Design ◽  
Fine Tune

Due to the complex, uncertainty and dynamic in the modern manufacturing environment, a flexible and robust shop floor scheduler is essential to achieve the system production goals. The paper proposes a design framework of shop floor scheduler. The details of its function modules were discussed. An adaptive scheduling strategy and a XML-based process plan representation were utilized in the scheduler, which acquires the dispatching rule from the knowledge base and uses the build-in on-line simulator to evaluate the rule. These technologies enable the scheduler has a good fine-tune ability and transfers effectively process information to other heterogeneous information systems in a shop floor. The framework introduced in the paper has been demonstrated with a manufacturing case.

Computer Integrated Ship Production

1997 ◽  
Vol 13 (03) ◽  
pp. 215-223
Author(s):  
Einar Pedersen ◽  
John Fredrik Hatling
Keyword(s):  
Computer Integrated Manufacturing ◽  
Planning System ◽  
Quality Data ◽  
Shop Floor ◽  
Just In Time ◽  
Line Production ◽  
Control Programs ◽  
Organizational Issues ◽  
On Line ◽  
Data Files

Wider exploitation of computer integrated manufacturing (CIM) in shipbuilding is inevitable as yards seek continuing improvements in productivity and quality to sharpen competitiveness. The buzz word CIM has been used in many ways through the years. The correct interpretation may be the integration of all computer systems directly supporting the definition and production of the ship. This comprises CAD and also administrative systems such as planning and material control programs. CIM in this paper is defined as optimal utilization of CAD data and planning data in shop floor production, including feedback to the planning system and accumulation of quality data. The paper defines the state-of-the-art of CIM solutions at shipyards, and outlines a case study of one larger CIM installation. The case presented shows the structure of one installed system, and outlines the experience gained through planning, preparation and installation of the system. The case also includes cost budgets for the installation, including necessary training for planners and operators. Important organizational issues when planning the structure of CIM based production is described in the case. Terms such as Central Work Preparation and Local Work Preparation are introduced. The tasks performed in each area that add value to the CIM data files are described. At the end of the paper, the authors have outlined some future thoughts on further developments of CIM at shipyards. Important issues are, e.g., on-line production simulation systems capable of constantly updating the planning system in order to ensure the highest possible productivity and to support just in time (JIT) philosophies in all areas of the production.

A Data Mining Based Dispatching Rules Selection System for the Job Shop Scheduling Problem

2019 ◽  
Vol 18 (01) ◽  
pp. 35-56
Author(s):  
M. Habib Zahmani ◽  
B. Atmani
Keyword(s):  
Data Mining ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Dispatching Rules ◽  
Shop Floor ◽  
Scheduling Problem ◽  
Dispatching Rule ◽  
Job Shop Scheduling Problem ◽  
Shop Scheduling ◽  
Combining Data

Identifying the best Dispatching Rule in order to minimize makespan in a Job Shop Scheduling Problem is a complex task, since no Dispatching Rule is better than all others in different scenarios, making the selection of a most effective rule which is time-consuming and costly. In this paper, a novel approach combining Data Mining, Simulation, and Dispatching Rules is proposed. The aim is to assign in real-time a set of Dispatching Rules to the machines on the shop floor while minimizing makespan. Experiments show that the suggested approach is effective and reduces the makespan within a range of 1–44%. Furthermore, this approach also reduces the required computation time by using Data Mining to determine and assign the best Dispatching Rules to machines.

Hierarchical Database Model for Querying Economic Network Independence Distribution

2011 ◽  
Vol 3 (3) ◽  
pp. 58-67
Author(s):  
Akinwale Adio Taofiki
Keyword(s):  
Physical World ◽  
Shop Floor ◽  
The Internet ◽  
Database Model ◽  
N Level ◽  
Physical Barriers ◽  
On Line ◽  
Level Cluster ◽  
User Friendly ◽  
Order Algorithm

The development of the internet has been triggering numerous mutations in the visualization of actors in economic network independence distribution (ENID) of goods. ENID overcomes the physical barriers of shop-floor space so unprecedented variety of products could be offered to the customers. Avoidance of expensive trade space allows suppliers to reduce price compared to those in the physical world. User friendly and easy contact with the supplier of the goods make shopping very convenient. Despite these advantages of ENID, there is a need to develop better theories about how this system should behave in order to protect participants’ interests. This work employed hierarchical database model using B-tree and pre-order algorithm to insert and traverse participant records for easy processing. N-level models were adopted to calculate each level and sub-level cluster commission. The implementation was carried out using C# and sql. The application of the model permits the participants to query any information about ENID for on line real time decision makings.

Dynamic On-Line Control of Stainless Steel Making in AOD

2013 ◽  
Vol 794 ◽  
pp. 50-62
Author(s):  
Bahma Deo ◽  
Satish Kumar
Keyword(s):  
Control System ◽  
Heat Balance ◽  
Dynamic Models ◽  
Dynamic Control ◽  
Shop Floor ◽  
Dynamic Adjustment ◽  
Reduction Stage ◽  
Model Based ◽  
Level Ii ◽  
On Line

A new dynamic control model based on simultaneous mass transfer of C, Cr, and Mn and dynamic heat balance is developed. It allows dynamic adjustment of argon-oxygen ratio. The model is implemented through Level II control system. The total operating period of one heat is divided into five different stages: charge calculation, first blow period, second blow period, third blow period and, lastly, the reduction stage. The charge calculation model, based on heat balance, mass balance and the costs decided the optimum charge mix to start with. Both linear and non-linear regression models are used to predict the temperature and composition of bath at the end of first blow period. The second blow and the third blow periods use the dynamic models for predicting the chemical composition and temperature. In the model for reduction stage (final stage) the amount of reduction mixture is determined for obtaining maximum recovery of Cr and Mn from slag. On-line testing of the dynamic models was carried out on the shop floor. The integration of models with the Level II control system using Supervisory Control and Data Acquisition System (SCADA) are discussed. User friendly HMI are developed such that the operators can easily use it during the regular operation on shop-floor. This is the first time that a full dynamic control system was implemented in India for the AOD process.

Use of AE Based Instrumentation to Monitor Machinery Condition in the Industrial Environment

2006 ◽  
Vol 13-14 ◽  
pp. 45-50
Author(s):  
Trevor J. Holroyd
Keyword(s):  
High Sensitivity ◽  
Operating Conditions ◽  
Shop Floor ◽  
Machine Condition ◽  
Widespread Acceptance ◽  
On Line ◽  
Effective Assessment ◽  
Maintenance Personnel ◽  
Ae Signals ◽  
Illustrative Application

The use of AE by maintenance personnel for monitoring the condition of rotating machinery on the industrial shop floor is now well established and provides both a quick and effective assessment. Despite early resistance, especially by those accustomed to vibration based monitoring, it now enjoys a widespread acceptance. The development of signal processing routines and instrumentation specifically for the condition monitoring role has been a major factor in this achievement. Experience has shown that as a portable instrument AE can be very quickly applied and give instant indications of machine condition with high sensitivity to fault conditions. Appropriately pre-processed AE signals are particularly useful for on-line monitoring since the fault indications are in general less affected by changes in operating conditions than vibration based techniques as well as being far simpler to interpret. This is especially important where many machines are being simultaneously monitored. This paper discusses the accompanying developments and presents illustrative application examples.

scholarly journals In-Process Fast Surface Measurement Using Wavelength Scanning Interferometry

2012 ◽  
Vol 622-623 ◽  
pp. 357-360
Author(s):  
F. Gao ◽  
H. Muhamedsalih ◽  
X. Jiang
Keyword(s):  
Environmental Noise ◽  
Surface Measurement ◽  
Shop Floor ◽  
Discontinuous Surface ◽  
Process Measurement ◽  
Large Step ◽  
Wavelength Scanning ◽  
On Line ◽  
Filtering Technique ◽  
Surface Profiles

A wavelength scanning interferometry system for fast areal surface measurement of micro and nano-scale surfaces which is immune to environmental noise is introduced in this paper. It can be used for surface measurement of discontinuous surface profiles by producing phase shifts without any mechanical scanning process. White light spectral scanning interferometry, together with an acousto-optic tuneable filtering technique, is used to measure both smooth surfaces and those with large step heights. An active servo control system is used to serve as a phase compensating mechanism to eliminate the effects of environmental noise. The system can be used for on-line or in-process measurement on a shop floor.

Hydroponics water management using adaptive scheduling with an on-line optimiser

2001 ◽  
Vol 31 (1) ◽  
pp. 31-46 ◽  
Author(s):  
N Sigrimis ◽  
K.G Arvanitis ◽  
G.D Pasgianos ◽  
K Ferentinos
Keyword(s):  
Water Management ◽  
Adaptive Scheduling ◽  
On Line

A System Design for Computer-Aided Manufacturing Shared, Interactive Process Setup Sheets

2016 ◽  
Author(s):  
R. Hedrick ◽  
R. J. Urbanic ◽  
Ashley Novak
Keyword(s):  
Cloud Computing ◽  
Process Parameters ◽  
Mobile Technologies ◽  
Shop Floor ◽  
Computer Aided Manufacturing ◽  
Process Plan ◽  
Tool Paths ◽  
Computer Aided ◽  
Tool Diameter ◽  
Cam Software

Computer-aided manufacturing (CAM) software is used to develop a process plan, which consists of an operations list, tool paths, tooling, process parameters, and depending on the system, material handling operations. Upon completing the development of a process plan, setup sheets are generated for the personnel involved in the setup, production, testing, and product validation activities for a product. Typically, this documentation is in a hardcopy format, or is a static electronic document, and the direction of the communication is unidirectional — from the process planner to the support personnel. With the ubiquitous communications tools available to individuals today, a more sophisticated approach should be taken to transmit, store, and communicate changes to and from the shop floor. Presently, standard setup documentation consists of the project information utilized for the developed process plan. Pictures such as screen captures of the tool path, virtual verification images, and physical elements such as specialty tools may be included. However, modifications are made continuously to improve the cycle time, quality, or to adjust for other product or process changes. This research focuses on the development of interactive setup sheets that utilize existing desktop CAD/CAM software and mobile technologies, with the potential for leveraging the advantages of manufacturing cloud computing. Videos, links to additional documentation, and the ability to edit a subset of process parameters such as a tool diameter are incorporated. The operator is able to physically change tools or other key process setup information, and then send the information to the CAM system in order to regenerate the updated tool paths and documentation. Complementing the flexible, agile, and reconfigurable paradigms is the communication flexibility provided by fast wireless networks along with, cloud computing resources that can accessed with mobile devices, which are ubiquitous in today’s society. This technology that has not yet been heavily employed in the manufacturing environment, and research leveraging these new tools need to be explored.

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