Quantitative Selection of Variation Reduction Plans

2000 ◽  
Vol 122 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Anna C. Thornton
Keyword(s):  
Product Quality ◽  
Performance Criteria ◽  
Performance Requirement ◽  
Variation Reduction ◽  
Variation Propagation ◽  
Design And Manufacturing ◽  
Optimal Resource ◽  
Multiple Product ◽  
Reduction Costs ◽  
Selection Of

Quality has been a rallying call in design and manufacturing for the last two decades. One way to improve quality is through variation reduction (VR). VR teams use tools such as Design of Experiments (DoE) and robust design to improve product performance and quality by reducing variation introduced by manufacturing processes. Because VR teams are typically resource constrained, they must carefully select where to focus their efforts. Planning for VR is complex because reduction efforts are executed on individual features and processes but benefits are accrued when the overall product quality improves. The problem is further complicated by the existence of multiple performance criteria and hundreds of processes and dimensions that effect each performance requirement. Consequently, VR teams typically use qualitative assessments to prioritize and schedule their efforts. This paper provides a mathematical model capable of optimally allocating VR resources for a complex product. The VR model has three parts: a model of variation propagation, a model of variation costs, and a model of variation reduction costs. These models are used to directly calculate the optimal resource allocation plan and schedule for a product with multiple product quality requirements. An example from the aerospace industry is used to demonstrate the theory. [S1050-0472(00)00602-4]

Effect of log loading on the performance of wood room

2014 ◽  
Vol 29 (2) ◽  
pp. 201-210
Author(s):  
Ari Isokangas ◽  
Kari Ala-Kaila ◽  
Markku Ohenoja ◽  
Aki Sorsa ◽  
Kauko Leiviskä
Keyword(s):  
Product Quality ◽  
Material Properties ◽  
Raw Material ◽  
Performance Criteria ◽  
Processing Unit ◽  
Level Control ◽  
Paper Mills ◽  
Remarkable Effect ◽  
Loading Process ◽  
Small Wood

Abstract The purpose of this paper is to analyse the log loading process of wood room, which is typically the first processing unit in pulp and paper mills. The aim is to improve the log loading process to obtain production with a constant log flow of well de-iced logs to the debarking drum. This way it is possible to reduce costs and enhance product quality. The research was carried out utilising a log loading simulator. The parameters of the simulation model were selected on the basis of process observations on a mill. The results indicate that it is essential to adjust the process and equipment parameters, raw material properties and truck loader operation together in order to reach the target capacity with minimum costs. Especially the speed of the infeed conveyor affects all performance criteria and should be selected carefully. In addition, wood yard logistics and raw material properties have a remarkable effect on the wood room performance. The results can be utilised in mills to allow the upper level control perform in a planned way so that small wood loss and good product quality can be obtained.

Using International Trade Data for Evaluating the Product Specific Competitiveness and Supplied Product Quality of Countries: A Successful Example of Applied Theory

2006 ◽  
Vol 8 (2) ◽  
pp. 229 ◽  
Author(s):  
Thomas Cleff
Keyword(s):  
Product Quality ◽  
Longitudinal Section ◽  
Search Costs ◽  
Applied Theory ◽  
Present Level ◽  
Combined System ◽  
Trade Data ◽  
Simple Regression ◽  
Selection Of

This paper proposes a simple regression-based method for reducing the complexity of decisions in the international procurement process. Based on foreign trade data, the method uses indicators, which allow a product specific cross-section and longitudinal-section valuation of the international competitiveness and the supplied product quality of all potential supplier countries. The method thus provides a variety of information for procurement departments, including the present level and the dynamic of competitiveness and product quality for the potential supplier countries within every product group of the international product nomenclature (Combined System and the Harmonised System). Potential supplier countries --the companies of which have proven to be particularly competitive in the different product quality stages-- are identified. This pre-selection of countries enables the companies to limit their search for potential suppliers to the selected supplier countries. High search costs are subsequently reduced and trend prognoses can be constructed.

scholarly journals A Fuzzy Network DEA Approach to the Selection of Advanced Manufacturing Technology

2021 ◽  
Vol 13 (8) ◽  
pp. 4236
Author(s):  
Tim Lu
Keyword(s):  
Fuzzy Numbers ◽  
Weighted Average ◽  
Careful Consideration ◽  
Performance Criteria ◽  
Advanced Manufacturing ◽  
Weight Restrictions ◽  
Network Dea ◽  
Engineering Sciences ◽  
Fuzzy Network ◽  
Selection Of

The selection of advanced manufacturing technologies (AMTs) is an essential yet complex decision that requires careful consideration of various performance criteria. In real-world applications, there are cases that observations are difficult to measure precisely, observations are represented as linguistic terms, or the data need to be estimated. Since the growth of engineering sciences has been the key reason for the increased utilization of AMTs, this paper develops a fuzzy network data envelopment analysis (DEA) to the selection of AMT alternatives considering multiple decision-makers (DMs) and weight restrictions when the input and output data are represented as fuzzy numbers. By viewing the multiple DMs as a network one, the data provided by each DM can then be taken into account in evaluating the overall performances of AMT alternatives. In the solution process, we obtain the overall and DMs efficiency scores of each AMT alternative at the same time, and a relationship in which the former is a weighted average of the latter is also derived. Since the final evaluation results of AMTs are fuzzy numbers, a ranking procedure is employed to determine the most preferred one. An example is used to illustrate the applicability of the proposed methodology.

Quantitative Selection of Variation Reduction Plans

1998 ◽  
Author(s):  
Anna C. Thornton
Keyword(s):  
Risk Mitigation ◽  
Cost Effective ◽  
Variation Reduction ◽  
Multiple Quality Characteristics ◽  
Cost Effective Approach ◽  
Manufacturing Performance ◽  
The Impact ◽  
Manufacturing Variation ◽  
Selection Of

Abstract Quality has been a rallying call in the design and manufacturing world for the last two decades. One way to improve quality is to reduce the impact of manufacturing variation. Variation risk mitigation is challenging especially when a product has multiple quality characteristics and complex production and assembly. It is common wisdom that companies should identify and mitigate the risk associated with variation throughout the design process. As yield problems are identified, they should be mitigated using the most cost effective approach. One approach to variation risk mitigation is variation reduction (VR). VR targets reduction of variation introduced by existing manufacturing processes using tools such as Design of Experiments (DOE) and robust design. Many companies have specialized groups that specialize in these methods. VR teams have the role of improving manufacturing performance; however, these teams are limited in their resources. In addition, no tools exist to quantitatively determine where a VR team’s efforts are most effectively deployed. This paper provides a mathematical and optimization model to best allocate VR resources in a complex product.

scholarly journals Design-technological support of quality and competitive ability of engineering products

2017 ◽  
Vol 2 (7) ◽  
pp. 25-28 ◽  
Author(s):  
Анатолий Суслов ◽  
Anatoliy Suslov
Keyword(s):  
Product Quality ◽  
Competitive Ability ◽  
Engineering Product ◽  
Technological Support ◽  
Design And Manufacturing ◽  
Definition Of

The solution of the problem of the assurance of competitive ability and quality of engineering products during their design and manufacturing is stated. The dependence for the definition of a complex factor of engineering product competitive ability is shown. The concept of life optimum is given. The structural procedures for the solution of problems of a designer and technologist for the assurance of engineering product quality are shown.

A New Methodology for Rapid Synthesis of Function Generators

1992 ◽  
Vol 206 (6) ◽  
pp. 391-398 ◽  
Author(s):  
J R McGarva ◽  
G Mullineux
Keyword(s):  
Harmonic Analysis ◽  
Optimization Technique ◽  
Performance Criteria ◽  
Performance Information ◽  
Rapid Synthesis ◽  
Single Degree Of Freedom ◽  
Performance Requirement ◽  
Single Degree ◽  
Function Generators ◽  
Fine Tune

This paper presents the application of a new methodology for the rapid synthesis of a single-degree-of-freedom function generating linkages. Harmonic analysis and normalization are used as a means of evaluating linkage performance. The performance information for a large number of linkage types and dimensional variants are stored in a software-based library. A means whereby this library can he searched for linkages to meet prescribed performance criteria is discussed. The use of an optimization technique to ‘fine tune’ the library selections is introduced. Finally, an example of the use of the methodology is given for the synthesis of a linkage required to reproduce a particular performance requirement.

Power Control Schemes Based on Game Theory

2014 ◽  
pp. 244-276
Keyword(s):  
Game Theory ◽  
Power Control ◽  
Cellular Networks ◽  
Network Capacity ◽  
Performance Criteria ◽  
Transmitter Power ◽  
Geographic Coverage ◽  
Control Schemes ◽  
Link Data ◽  
Selection Of

Power control is the intelligent selection of transmitter power output in a communication system to achieve good performance within the system. The notion of good performance can depend on context and may include optimizing metrics such as link data rate, network capacity, geographic coverage and range, and life of the network and network devices. Power control algorithms are used in many contexts, including cellular networks, sensor networks, and wireless LANs. Typically, there is no simple answer to the problem of power control, and a good algorithm must strike a balance between the benefits and drawbacks associated with targeting a particular transmit power based on the performance criteria of most importance to the designer. This chapter discusses power control schemes.

Sign in / Sign up

Export Citation Format

Share Document