Optimization Models for Deriving Optimum Target of Key Characteristics

2014 ◽  
Vol 13 (02) ◽  
pp. 89-101 ◽  
Author(s):  
Cucuk Nur Rosyidi ◽  
Dradjad Irianto ◽  
Andi Cakravastia ◽  
Isa Setiasyah Toha ◽  
Kunihiro Hamada
Keyword(s):  
Objective Function ◽  
Optimization Models ◽  
Functional Domain ◽  
Physical Domain ◽  
Key Characteristics ◽  
Target Values ◽  
The Hierarchical Structure ◽  
Design Cost ◽  
A Company ◽  
Assembly Component

The aim of this research is to develop optimization models in deriving optimum target of key characteristic (KC). There are two kinds of product KCs introduced in this paper, namely performance and dimension product KC. The performance product KC target values must be determined by balancing customer and designer utilities subject to design cost and time provided by a company. The KCs of a product can be visualized using a KC flow-down which shows the hierarchical structure of the product. The flow-down may consist of many levels from product KC to process KC. Using axiomatic design as a methodology to map the flow-down, we conclude that product KC, assembly-components KC, and process KC are in functional domain, physical domain, and process domain respectively. In this paper, the objective function of the model for deriving optimum product KC target is to minimize utility gap between customer and designer subject to design cost and time. The assembly-component KCs have to be derived considering the product KC targets. In the absence of product KC target, the objective function of the model is to maximize the desired effect or minimizing the undesired effect. In the existence of product KC target, the objective function of the model is to attain the target considering technical constraints of the product. We use a shaft design problem as a numerical example to show the implementation of the models.

COMPARISON OF TWO OPTIMIZATION MODELS FOR CONSTRUCTING PATTERNS IN THE METHOD OF LOGICAL ANALYSIS OF DATA

2020 ◽  
pp. 10-13
Author(s):  
Р.И. Кузьмич ◽  
А.А. Ступина ◽  
С.Н. Ежеманская ◽  
А.П. Шугалей
Keyword(s):  
Objective Function ◽  
Optimization Model ◽  
Logical Analysis ◽  
Optimization Models ◽  
Logical Analysis Of Data

Предлагаются две оптимизационные модели для построения информативных закономерностей. Приводится эмпирическое подтверждение целесообразности использования критерия бустинга в качестве целевой функции оптимизационной модели для получения информативных закономерностей. Информативность, закономерность, критерий бустинга, оптимизационная модель Comparison of two optimization models for constructing patterns in the method of logical analysis of data Two optimization models for constructing informative patterns are proposed. An empirical confirmation of the expediency of using the boosting criterion as an objective function of the optimization model for obtaining informative patterns is given.

Analyzing Module Commonality for Platform Design in Functional and Physical Domain

2005 ◽  
Author(s):  
Katja Ho¨ltta¨-Otto
Keyword(s):  
Cost Savings ◽  
Functional Domain ◽  
Physical Domain ◽  
Decision Tool ◽  
Platform Design ◽  
Single Measure ◽  
Product Platforms ◽  
The Common ◽  
Modular Platform ◽  
Common Platform

Product platforms can provide many advantages from cost savings to a large variety of products with less effort than without platforms. The key choice in modular platform design is the choice of common platform modules. We developed an algorithm to aid in this choice. The algorithm is based on calculating the distance between function inputs and outputs, in the functional domain, or component attributes, in the physical domain. Unlike other methods before, this method can identify commonalities from any or mixed degrees of decomposition and it is not limited to a single measure of commonality. In addition we analyze the degree of commonality quantitatively. The common module candidates are clustered to a hierarchical dendrogram that serves as a decision tool for the designer. It is shown how the algorithm identifies common module candidates for a family of sensors in the functional domain and for a family of micro machines in the physical domain.

Exploring Requirement Change Propagation Through the Physical and Functional Domain

2015 ◽  
Author(s):  
Phyo Htet Hein ◽  
Varun Menon ◽  
Beshoy Morkos
Keyword(s):  
Natural Language ◽  
Change Propagation ◽  
Functional Domain ◽  
Physical Domain ◽  
Language Data ◽  
Research Questions ◽  
Requirement Change ◽  
Propagation Prediction ◽  
Requirements Document

Prior research performed by Morkos [1], culminated in the automated requirement change propagation prediction (ARCPP) tool which utilized natural language data in requirements to predict change propagation throughout a requirements document as a result of an initiating requirement change. Whereas the prior research proved requirements can be used to predict change propagation, the purpose of this case study is to understand why. Specifically, what parts of a requirement affect its ability to predict change propagation? This is performed by addressing two key research questions: (1) Is the requirement review depth affected by the number of relators selected to relate requirements and (2) What elements of a requirement are responsible for instigating change propagation, the physical (nouns) or functional (verbs) domain? The results of this study assist in understanding whether the physical or functional domain have a greater effect on the instigation of change propagation. The results indicated that the review depth, an indicator of the performance of the ARCPP tool, is not affected by the number of relators, but rather by the ability of relators in relating the propagating relationships. Further, nouns are found to be more contributing to predicting change propagation in requirements. Therefore, the physical domain is more effective in predicting requirement change propagation than the functional domain.

Design support for metallic machined ribs using knowledge based engineering techniques

2010 ◽  
Vol 114 (1161) ◽  
pp. 681-688
Author(s):  
T. van der Laan ◽  
F. van Dalen ◽  
B. Vermeulen
Keyword(s):  
Lead Time ◽  
Development Process ◽  
Engineering Process ◽  
Knowledge Based ◽  
Industrial Setting ◽  
Aircraft Component ◽  
Knowledge Based Engineering ◽  
Automation Tools ◽  
Design Cost ◽  
A Company

Abstract In recent years increasingly pressure has been applied on aircraft component suppliers to reduce design lead-time and design cost of aircraft components. To achieve this reduction in lead-time and cost, advanced automation tools that automate part of the engineering process can be used. Knowledge based engineering (KBE) tools are one such automation tool type and automate part of the engineering process based on existing knowledge within a company. In this paper the development process and use of a KBE application to design machined ribs in an industrial setting is discussed. The development of the KBE tool has resulted in the standardisation of the design methodology. Furthermore it has reduced machined rib design lead-time in a project to develop a bussines jet empennage by 40%.

scholarly journals Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions

2019 ◽  
Vol 14 (3) ◽  
pp. 1057
Author(s):  
K B Kela ◽  
Bhavik N Suthar ◽  
L D Arya
Keyword(s):  
Objective Function ◽  
Distribution Systems ◽  
Test System ◽  
Reliability Optimization ◽  
Reliability Indices ◽  
Electrical Distribution Systems ◽  
Flower Pollination ◽  
De Algorithm ◽  
Electrical Distribution ◽  
Target Values

<p>In this paper, a methodology is proposed which shows enhancement of reliability by optimizing total reliability cost of electrical distribution systems. The total reliability cost consists of cost incurred by utility and customers both. An objective function in terms of failure rates and repair times i.e. primary reliability indices has been formulated which  depicts both these costs . Hence, optimization of the objective function will give a balance between these costs with optimized values of primary reliability indices. This optimization has been done considering the constraints of achieving customer and energy based reliability indices below threshold/target values. The methodology has been applied on Roy Billinton Test System- Bus 2 (RBTS-2).  The problem has been solved by applying Flower Pollination (FP) algorithm. A comparison has been made with the results obtained by Differential evolution (DE) algorithm also for  the system considered.</p>

scholarly journals Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

2015 ◽  
Vol 9 (1) ◽  
pp. 714-723 ◽  
Author(s):  
Yan Sun ◽  
Maoxiang Lang ◽  
Danzhu Wang
Keyword(s):  
Heuristic Algorithms ◽  
Transportation Network ◽  
Algorithm Design ◽  
Global Market ◽  
Optimization Models ◽  
Planning Problem ◽  
Total Production ◽  
Solution Algorithms ◽  
Freight Routing ◽  
A Company

With the remarkable development of international trade, global commodity circulation has grown significantly. To accomplish commodity circulation among various regions and countries, multi-modal transportation scheme has been widely adopted by a large number of companies. Meanwhile, according to the relevant statistics, the international logistics costs reach up to approximate 30-50% of the total production cost of the companies. Lowering the transportation costs has become one of the most important sources for a company to raise profits and maintain competitiveness in the global market. Thus, how to optimize freight routes selection to move commodities through the multi-modal transportation network has gained great concern of both the decision makers of the companies and the multi-modal transport operators. In this study, we present a systematical review on the multi-modal transportation freight routing planning problem from the aspects of model formulation and algorithm design. Following contents are covered in this review: (1) distinguishing the formulation characteristics of various optimization models; (2) identifying the optimization models in recent studies according to the formulation characteristics; and (3) discussing the solution approaches that are developed to solve the optimization models, especially the heuristic algorithms.

scholarly journals Methodical approach to the substantiation of alternative modules for managing the development of territorial production complexes

2018 ◽  
Vol 251 ◽  
pp. 05030
Author(s):  
Ariadna Kirillova ◽  
Anna Belyakova
Keyword(s):  
Objective Function ◽  
Geographic Location ◽  
Modular System ◽  
Innovative Development ◽  
Methodical Approach ◽  
Key Characteristics ◽  
Balance Of Interests ◽  
Analysis Of Alternatives ◽  
Multifactor Analysis ◽  
Critical Constraints

Sustainable innovative development of territorially production complexes (TPC) is viewed as a single modular system based on a multifactor analysis of alternatives, ensuring a balance of interests of all subjects of investment, construction and production activities, can be ensured by the use of an improved mechanism for selecting alternatives in The reorganization and project management of industrial renewal projects. The carried out analysis of the evolution of program-target models of urban TPC development showed the existence of a stable trend of shifting the targets towards innovative development that form production chains of the full cycle. Typical characteristics of urban TIC that affect the development and implementation of integrated reorganization projects are singled out. It is proposed that existing urban TPC, subject to reorganization, be considered in the context of the theory of poles (points) of growth of Fr. Perru in view of the correspondence of their key characteristics (geographic location, availability of existing production infrastructure, etc.) The proposed approach to the justification of alternative management modules for the development of the TPC is formalized in the form of the objective function of the Pareto multicriterion optimum of multidirectional private target parameters reflecting various types of efficiency of the project solution compliance with critical constraints.

A computer-aided approach improving the Axiomatic Design theory with the distributed design resource environment

2019 ◽  
Vol 34 (1) ◽  
pp. 80-103
Author(s):  
Bin Chen ◽  
Jie Hu ◽  
Jin Qi ◽  
Weixing Chen
Keyword(s):  
Design Process ◽  
Design Theory ◽  
Axiomatic Design ◽  
Functional Domain ◽  
Distributed Design ◽  
Physical Domain ◽  
Computer Aided ◽  
Design Resources ◽  
Axiomatic Design Theory ◽  
Resource Environment

AbstractIn the traditional Axiomatic Design (AD) theory, the mapping from the functional domain to the physical domain is based on the designers’ own knowledge and experience, and there is no systematical approach including the design resources provided outside the designers themselves’ access. Thus, the raw materials for the design process are largely limited, which means they can hardly support the designers’ increasingly creative and innovative conceptions. To help AD theory better support the design process, this paper proposes a computer-aided approach for the mapping from the functional domain to the physical domain within a distributed design resource environment, which consists of numerous design resources offered on the Internet by the providers widely distributed in different locations, institutes, and disciplines. To prove the feasibility of this proposed approach, a software prototype is established, and a natural leisure hotel is designed as an implementation case.

scholarly journals Corporate Characteristics and Adoption of Good Manufacturing Practice for Dietary Supplements in Japan

2020 ◽  
Vol 17 (13) ◽  
pp. 4748 ◽  
Author(s):  
Keigo Sato ◽  
Kota Kodama ◽  
Shintaro Sengoku
Keyword(s):  
Dietary Supplements ◽  
Dietary Supplement ◽  
Quality Standard ◽  
Good Manufacturing Practice ◽  
Pharmaceutical Products ◽  
Product Categories ◽  
Adoption And Implementation ◽  
Key Characteristics ◽  
Key Driver ◽  
A Company

Good manufacturing practice (GMP) is advocated and implemented as a standardized procedure for manufacturing dietary supplements. However, in Japan as a case, only half of the manufacturers in this field so far adopt it. To address this issue, the present study aims to explore the effect of key characteristics of a company on the adoption of and compliance with GMP for dietary supplements. The focus is on the effect of expertise in the pharmaceutical industry. The relationships between company characteristics and the adoption of GMP were analyzed for 90 manufacturers in the dietary supplement industry in Japan. A binomial logistic regression analysis showed that each of the following three factors had a positive and significant effect on the company’s adoption of GMP: company size in terms of revenue (odds ratio = 1.04, p = 0.019), possession of a manufacturing license for pharmaceutical products (13.7, p = 0.003), and number of own product categories manufactured (3.93, p = 0.00009). These findings strongly suggest that the company’s manufacturing capability of pharmaceutical products works as a key driver for the better adoption of a quality standard in the dietary supplement industry in Japan. Few considerations were made for conditions of the adoption and implementation of GMP. The present study empirically contributes by providing key clues for issues in the dietary supplement industry and by forming a theoretical base for policymakers and the regulatory authorities.

scholarly journals Spatially consistent imputations of forest data under a semivariogram model

2016 ◽  
Vol 46 (9) ◽  
pp. 1145-1156 ◽  
Author(s):  
Victor Felix Strîmbu ◽  
Liviu Teodor Ene ◽  
Erik Næsset
Keyword(s):  
Objective Function ◽  
Laser Scanner ◽  
Data Types ◽  
Semivariogram Model ◽  
Airborne Laser Scanner ◽  
Airborne Laser ◽  
Target Values ◽  
The Difference ◽  
Southern Norway

This study proposes a method to perform spatially consistent imputations of forest data to serve simulation studies where spatial autocorrelation is expected to have an effect (e.g., sampling simulations and forest scenario analysis). Starting with a nearest neighbour imputation, an optimization process brings the spatially comprehensive data to a desired state, controlled by a target semivariogram and a target histogram. The target values for both parameters may be approximated using empirical data and are combined in the objective function used by the optimization algorithm. Here, we demonstrate a case study using wall-to-wall airborne laser scanner data, satellite data, and field observations for an 852 ha forest area in southern Norway. Different combinations of data types and target parameters were tested, and the target values were reached in most cases. In some cases, with a more restrictive objective function, the semivariogram did not completely converge to its target values, yet still had a convergence of at least 93%, expressed by the difference reduction between initial and target values. The results recommend the proposed method as a practical means to generate spatially explicit forest data when a particular distribution and well-defined spatial dependence are required.

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