Manufacturing Resources Optimization Deployment for Complicated Parts Based on Network

2011 ◽  
Vol 186 ◽  
pp. 89-93
Author(s):  
Wen Li Peng ◽  
Wen Ni Zhang ◽  
Hai Ming Jin
Keyword(s):  
Optimization Problem ◽  
Geometric Feature ◽  
Manufacturing Cost ◽  
Networked Manufacturing ◽  
Time Cost ◽  
Time To Market ◽  
Production Type ◽  
Complex Part ◽  
Manufacturing Resources ◽  
Manufacturing Time

Agility of physical manufacturing unit is the competitive advantage in the global manufacturing environment. It is believed that the agility can be realized by dynamically optimization deployment of networked manufacturing resources. To solve this problem, logical manufacturing unit (LMU) and logical manufacturing process (LMP) are proposed and defined to decompose and model networked manufacturing task according to the process of complex part. When selecting manufacturing resources for these manufacturing tasks, many factors should be taken into account. However, manufacturing cost, time to market and manufacturing quality are the most important factors. In this paper, networked manufacturing resources pre-deployment is carried out to find candidate manufacturing resources based on manufacturing resources abilities, such as part family, geometric feature, material type, rough type, dimension range, machining method, precision grade and production type. Then, taking transportation time and cost besides manufacturing time, cost and quality into consideration, the objectives and restrictions of manufacturing resources optimization deployment are analyzed, and manufacturing resources optimization deployment problem is considered as a multi-objectives optimization problem.

Possible examinations of stone machining focused on the relationship between technological parameters and surface quality

2013 ◽  
Vol 4 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Zs. Kun ◽  
I. G. Gyurika
Keyword(s):  
Surface Roughness ◽  
Metal Cutting ◽  
Cutting Speed ◽  
Theoretical Background ◽  
Motion Path ◽  
Depth Of Cut ◽  
Manufacturing Cost ◽  
Technological Parameters ◽  
The Relationship ◽  
Manufacturing Time

Abstract The stone products with different sizes, geometries and materials — like machine tool's bench, measuring machine's board or sculptures, floor tiles — can be produced automatically while the manufacturing engineer uses objective function similar to metal cutting. This function can minimise the manufacturing time or the manufacturing cost, in other cases it can maximise of the tool's life. To use several functions, manufacturing engineers need an overall theoretical background knowledge, which can give useful information about the choosing of technological parameters (e.g. feed rate, depth of cut, or cutting speed), the choosing of applicable tools or especially the choosing of the optimum motion path. A similarly important customer's requirement is the appropriate surface roughness of the machined (cut, sawn or milled) stone product. This paper's first part is about a five-month-long literature review, which summarizes in short the studies (researches and results) considered the most important by the authors. These works are about the investigation of the surface roughness of stone products in stone machining. In the second part of this paper the authors try to determine research possibilities and trends, which can help to specify the relation between the surface roughness and technological parameters. Most of the suggestions of this paper are about stone milling, which is the least investigated machining method in the world.

scholarly journals Knee Point Search Using Cascading Top-kSorting with Minimized Time Complexity

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Zheng Wang ◽  
Shian-Shyong Tseng
Keyword(s):  
Time Complexity ◽  
Optimization Problem ◽  
Search Algorithm ◽  
A Priori ◽  
Search Problem ◽  
Time Cost ◽  
Point Distribution ◽  
Expected Time ◽  
Knee Point ◽  
Point Search

Anomaly detection systems and many other applications are frequently confronted with the problem of finding the largest knee point in the sorted curve for a set of unsorted points. This paper proposes an efficient knee point search algorithm with minimized time complexity using the cascading top-ksorting when a priori probability distribution of the knee point is known. First, a top-ksort algorithm is proposed based on a quicksort variation. We divide the knee point search problem into multiple steps. And in each step an optimization problem of the selection numberkis solved, where the objective function is defined as the expected time cost. Because the expected time cost in one step is dependent on that of the afterwards steps, we simplify the optimization problem by minimizing the maximum expected time cost. The posterior probability of the largest knee point distribution and the other parameters are updated before solving the optimization problem in each step. An example of source detection of DNS DoS flooding attacks is provided to illustrate the applications of the proposed algorithm.

Modeling and Representation of Manufacturing Knowledge for DFM Systems

2004 ◽  
Author(s):  
Zuozhi Zhao ◽  
Jami Shah
Keyword(s):  
Process Planning ◽  
Cost Estimation ◽  
Manufacturing Process ◽  
Feature Recognition ◽  
Design For Manufacturing ◽  
Time Cost ◽  
Computational Framework ◽  
Different Types ◽  
Manufacturing Knowledge ◽  
Manufacturing Time

The manufacturing knowledge today spans a vast spectrum, from manufacturing process capability/constraint, precedence, algorithms/heuristics of performing feature recognition, process planning and manufacturing time/cost estimation, to Design for Manufacturing (DfM) tactics and strategies. In this paper, different types of manufacturing knowledge have been identified and the ways to represent and apply them are described. An information model is developed as the backbone to integrate other existing tools into the framework. A computational framework is presented to help the manufacturing knowledge engineers formulize their knowledge and store it into the computer, and help the designers systematically analyze the manufacturability of the design.

Comprehensive Engineering: A New Concurrent Engineering to Reduce Cost and Increase Productivity Across Industries

2012 ◽  
Author(s):  
Shuichi Fukuda
Keyword(s):  
Energy Consumption ◽  
Concurrent Engineering ◽  
Great Reduction ◽  
Time Cost ◽  
Time To Market ◽  
Individual Industry ◽  
Increase Productivity ◽  
Reduction Of Energy Consumption

Concurrent Engineering (CE) realized faster time to market with great reduction of time, cost and energy. This old version of CE, however, focused its attention to production within an individual industry. It is process-focused. It is pointed out that if we expand CE from individual industry to a group of industries, greater increase of productivity and reduction of cost can be achieved. In this new version of industry-focused CE, overlaps will be eliminated and common functions across industries are pursued. Such seamless engineering will bring us a great reduction of energy consumption and it will contribute a great deal toward the establishment of the green society.

Product Life Cycle: VAVE Impact in Manufacturing Cost Reduction

2014 ◽  
Vol 575 ◽  
pp. 910-916
Author(s):  
Samir Mekid
Keyword(s):  
Product Life Cycle ◽  
Value Engineering ◽  
Manufacturing Cost ◽  
Specific Product ◽  
Value Analysis ◽  
Technical Performance ◽  
Value Estimation ◽  
The Cost ◽  
The Impact ◽  
Manufacturing Time

This paper reports on the impact of Value Analysis Value Engineering (VAVE) applied to an industrial product where manufacturability and choice of manufacturing methods can be of great benefit in reducing cost and sometimes manufacturing time in a mass production line. The purpose of this requested task is to reduce the cost of a specific product using VAVE analysis through better value estimation related to suitable manufacturing process while maintaining similar or better technical performance. A couple of technical design solutions are proposed and discussed with study cases. The work is progressing towards the final stage.

Characteristics of Networked Manufacturing Resources

2010 ◽  
Vol 428-429 ◽  
pp. 528-532
Author(s):  
Kai Yin ◽  
Juan Tu ◽  
Xiao Jun Wang
Keyword(s):  
Resource Management ◽  
Data Exchange ◽  
Technology Development ◽  
Manufacturing Technology ◽  
Networked Manufacturing ◽  
Exchange Form ◽  
Manufacturing Resources ◽  
Network Manufacture ◽  
Classification Management

Along with the networked manufacturing technology development and deep research of resources classification, the question of resource management appears prominently. Resources attribute constitution has been analyzed under the network manufacture environment from the resources classification management; the resources attribute and the data exchange form have been proposed under the isomerism environment

Three-Dimensional Kinematic Modelling of the Human Shoulder Complex—Part II: Mathematical Modelling and Solution Via Optimization

1989 ◽  
Vol 111 (2) ◽  
pp. 113-121 ◽  
Author(s):  
S. T. Tu¨mer ◽  
A. E. Engin
Keyword(s):  
Optimization Problem ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Joint Motion ◽  
Upper Arm ◽  
Complex Part ◽  
Kinematic Modelling ◽  
Shoulder Complex ◽  
The Individual

In this paper, individual joint sinus cones associated with the sternoclavicular, claviscapular, and glenohumeral joints of the three-dimensional kinematic model introduced in Part I for the human shoulder complex are quantitatively determined. First, mathematical description of the humerus orientation with respect to torso is given in terms of eight joint variables. Since the system is a kinematically redundant one, solution for the joint variables satisfying a prescribed humerus orientation is possible only if additional requirements are imposed; and the “minimum joint motion” criterion is introduced for this purpose. Two methods, namely the Lagrange multipliers and flexible tolerance methods, are formulated and tested for the optimization problem. The statistical in-vivo data base for the circumductory motion of the upper arm is employed to determine a set of joint variables via optimization, which are then utilized to establish the sizes and orientations of the elliptical cones for the individual joint sinuses. The results are discussed and compared with those given on the basis of measurements made on cadaveric specimens.

The Reduced Tolerance Allocation Problem

2016 ◽  
Author(s):  
David Sh. L. Shoukr ◽  
Mohamed H. Gadallah ◽  
Sayed M. Metwalli
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Computational Effort ◽  
Allocation Problem ◽  
Tolerance Allocation ◽  
Benchmark Problems ◽  
Manufacturing Processes ◽  
Manufacturing Cost ◽  
Functional Requirements ◽  
Different Dimensions

Tolerance allocation is a necessary and important step in product design and development. It involves the assignment of tolerances to different dimensions such that the manufacturing cost is minimum, while maintaining the tolerance stack-up conditions satisfied. Considering the design functional requirements, manufacturing processes, and dimensional and/or geometrical tolerances, the tolerance allocation problem requires intensive computational effort and time. An approach is proposed to reduce the size of the tolerance allocation problem using design of experiments (DOE). Instead of solving the optimization problem for all dimensional tolerances, it is solved for the significant dimensions only and the insignificant dimensional tolerances are set at lower control levels. A Genetic Algorithm is developed and employed to optimize the synthesis problem. A set of benchmark problems are used to test the proposed approach, and results are compared with some standard problems in literature.

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