Methods for Process Selection in Design

1990 ◽  
Author(s):  
K. Ishii ◽  
C. H. Lee ◽  
R. A. Miller
Keyword(s):  
Life Cycle Cost ◽  
Object Oriented ◽  
Manufacturing Processes ◽  
Future Challenge ◽  
Process Selection ◽  
Development Environment ◽  
Types Of Knowledge ◽  
Major Factors ◽  
Case Based ◽  
Selection Of

Abstract This paper describes our proposed methodology for process selection that applies to the early stages of product design. We focus on net-shape manufacturing processes and identify the major factors that affect the selection of an appropriate process. The sequence at which designers typically make decisions depends largely on the nature of the product and the development environment. Thus, a versatile methodology should consider all the factors simultaneously in assessing the suitability of the candidate processes. The paper describes three types of knowledge that represent the compatibility of various processes to a given set of specifications: a) Case-based knowledge, i.e., templates of good, bad, and poor combination of decisions, b) Ordinal relationships among candidate processes based on interval analysis of cost, and c) Life-cycle cost estimate. Each type of knowledge gives an evaluation of suitability (compatibility) of candidate processes. Our future challenge lies in combining these measures at various stages of product development. Our initial studies on relationships between process selection and influencing factors lead to a HyperCard stack which stores information in an object-oriented fashion. This stack contains information which is the basis for our future computer-aid for process selection.

Taking the Grunt Work Out of Tolerance Optimization

2006 ◽  
Author(s):  
Christopher Jayakaran ◽  
Ragini Patel ◽  
Prashant Momaya ◽  
K. Roopesh ◽  
Umeshchandra Ananthanarayana ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Optimal Allocation ◽  
Tolerance Allocation ◽  
Manufacturing Processes ◽  
Process Selection ◽  
Second Stage ◽  
Product Design Process ◽  
Stage Process ◽  
Manufacturing Process Selection ◽  
Selection Of

The activity of tolerance allocation and optimization is a critical step in the product design process. This inherent trade-off between design objectives and process capability poses challenges in achieving right tolerances, both technically and effort-wise. Traditional methods in tolerance allocation are mostly regressive and are constrained by selection of the manufacturing processes. A progressive approach to tolerance allocation that does not assume these processes helps in achieving optimality of the tolerances and selection of manufacturing processes to realize the design. The two-stage process suggested in this paper formulates an optimization problem that allocates the tolerances based on sensitivities of tolerance values at the first stage followed by manufacturing process selection and further optimization to adhere to the processes selected in the second stage. The approach aims at achieving optimal allocation of tolerances and assignment of the manufacturing processes, while keeping the optimization problem computationally simple, although iterative.

scholarly journals An Ontology-Enabled Case-Based Reasoning Decision Support System for Manufacturing Process Selection

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Mohammed M. Mabkhot ◽  
Ali M. Al-Samhan ◽  
Lotfi Hidri
Keyword(s):  
Decision Support ◽  
Support System ◽  
Manufacturing Process ◽  
Manufacturing Processes ◽  
Case Based Reasoning ◽  
Process Selection ◽  
Product Features ◽  
Material Characteristics ◽  
Manufacturing Process Selection ◽  
Case Based

In nowadays industry 4.0 and changeable manufacturing context, designers and manufacturing engineers struggle to determine appropriate quick, accurate (with flawless quality), and cost-effective processes to design highly customized products to meet customer requirements. To determine manufacturing processes, the matching between product features, material characteristics, and process capabilities needs to be optimized. Finding such an optimized matching is usually referred to as manufacturing process selection (MPS), which is not an easy task because of the infinite combinations of product features, numerous material characteristics, and various manufacturing processes. Although problems associated with MPS have received considerable attention, semantic web technologies are still underexplored and their potential is still uncovered. Almost no previous study has considered combining case-based reasoning (CBR) with ontologies, a famous and powerful semantic web enabler, to achieve MPS. In this study, we developed a decision support system (DSS) for MPS based on ontology-enabled CBR. By applying automatic reasoning and similarity retrieving on an industrial case study, we show that ontologies enable process selection by determining competitive matching between product features, material characteristics, and process capabilities and by endorsing effective case retrieval.

Reframing (inner) terror: A digital discourse-based approach to evidential repositioning of reader reactions towards visual reframing

2021 ◽  
Author(s):  
Elena Domínguez-Romero
Keyword(s):  
Present Article ◽  
Object Oriented ◽  
Digital Discourse ◽  
Visual Markers ◽  
Selection Of

The present article claims that the British public opinion’s repositioning towards inner terror after the 2017 Westminster attacks was (i) affected by the visual reframing of an original viral press photograph of the attacks targeting a Muslim passerby as an inner terrorist and (ii) linguistically expressed through the use of ‘look’ object-oriented visual markers of evidentiality in written digital discourse. To support this claim, British readers’ commentaries on a selection of online opinion articles reframing inner terror into terror through the use of reframed press photographs will be taken as the corpus of analysis. The ultimate aim of the article is to unveil the British readers’ reactions to the reframed photographs of the attacks as linguistically expressed through their use of ‘look’ object-oriented repositioning strategies of visual evidentiality in order to analyse the repositioning process.

scholarly journals The Lean Six Sigma Algorithm—A Pathway for Decreasing the Continuous Improvement Projects Failure Rate

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 47
Author(s):  
Karam Al-Akel ◽  
Liviu-Onoriu Marian
Keyword(s):  
Failure Rate ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Manufacturing Processes ◽  
Timely Manner ◽  
Improvement Project ◽  
Project Failures ◽  
Specific Order ◽  
Selection Of

Even if Lean and Six Sigma tools are available for large audiences, many of the continuous improvement projects fail due to the lack of a pathway that ensures appropriate results in a timely manner. We would like to address this universal issue by generating, testing and validating an algorithm that improves manufacturing processes in a controlled manner. With a selection of the most valuable set of tools and concepts implemented in a specific order, a guideline for successful project implementation is proposed. Decreasing the overall number of continuous improvement project failures is the main scope of our algorithm and suggested methodology.

A Case Based Reasoning System For Recommendation Of Restaurant In Jimbaran Using K-Nearest Neighbor

2020 ◽  
Vol 9 (2) ◽  
pp. 267
Author(s):  
I Gede Teguh Mahardika ◽  
I Wayan Supriana
Keyword(s):  
Recommendation System ◽  
Nearest Neighbor ◽  
Case Based Reasoning ◽  
Retrieval Process ◽  
K Nearest Neighbor ◽  
Reasoning System ◽  
Human Ability ◽  
And Function ◽  
Case Based ◽  
Selection Of

Culinary is one of the favorite businesses today. The number of considerations to choose a restaurant or place to visit becomes one of the factors that is difficult to determine the restaurant or place to eat. To get the desired place to eat advice, one needs a recommendation system. Decisions made by the recommendation system can be used as a reference to determine the choice of restaurants. One method that can be used to build a recommendation system is Case Based Reasoning. The Case Based Reasoning (CBR) method mimics human ability to solve a problem or cases. The retrieval process is the most important stage, because at this stage the search for a solution for a new case is carried out. The study used the K-Nearest Neighbor method to find closeness between new cases and case bases. With the selection of features used as domains in the system, the results of recommendations presented can be more suggestive and accurate. The system successfully provides complex recommendations based on the type and type of food entered by the user. Based on blackbox testing, the system has features that can be used and function properly according to the purpose of creating the system.

Automated Reuse of Solutions in Manufacturing Process Planning Through a Case-Based Approach

1996 ◽  
Author(s):  
M. Marefat ◽  
J. Britanik
Keyword(s):  
Process Planning ◽  
Manufacturing Process ◽  
Object Oriented ◽  
Process Plan ◽  
Primary Mechanism ◽  
Prismatic Parts ◽  
Manufacturing Process Planning ◽  
Computer Aided ◽  
Effective Use ◽  
Case Based

Abstract This research focuses on the development of an object-oriented case-based process planner which combines the advantages of the variant and generative approaches to process planning. The case-based process planner operates on general 3D prismatic parts, represented by a collection of features (eg: slots, pockets, holes, etc.). Each feature subplan is developed by the case-based planner. Then the feature subplans are combined into the global process plan for the part via a hierarchical plan merging mechanism. Abstracted feature subplans correspond to cases, which are used in subsequent planning operations to solve new problems. The abstracting and storing of feature subplans as cases is the primary mechanism by which the planner learns from its previous experiences to become more effective and efficient. The computer-aided process planner is designed to be extensible and flexible through the effective use of object-oriented principles.

On the authorship and publication dates of Theraphosa and Theraphosidae (Araneae, Mygalomorphae): a clarification

Bionomina ◽  
2021 ◽  
Vol 24 (1) ◽  
Author(s):  
RAINER BREITLING
Keyword(s):  
19Th Century ◽  
Relevant Literature ◽  
Historical Context ◽  
Publication Date ◽  
Diverse Group ◽  
Early 19Th Century ◽  
The Family ◽  
Minority View ◽  
Case Based ◽  
Selection Of

The genus Theraphosa was established by Thorell (1870) as the type genus of the simultaneously published family Theraphosidae, the most diverse group of mygalomorph spiders. This authorship and publication date have long been accepted by the majority of authors. However, there has been a long-standing minority view that the genus name should be attributed to Walckenaer (1805), and the publication date of the family name changed to 1869.             A thought-provoking recent publication has examined this case. Based on a limited selection of the relevant literature, the authors struggled to make sense of their sources and prematurely concluded that the minority opinion might indeed be correct. They overlooked the potentially destabilising implications of this reattribution.             This paper revisits the evidence in the light of a much wider range of relevant publications, places it in its important historical context and, on the basis of the current rules of nomenclature, concludes that the traditional consensus has indeed been correct.                 Thus, Theraphosa Thorell, 1870 is the type genus of Theraphosidae Thorell, 1870 and a nomen protectum, while Theraphosa Schinz, 1823 is a nomen oblitum, mostly limited to the German textbook literature of the early 19th century. Teraphosa Eichwald, 1830 and Teraphosa Gistel, 1848 are junior synonyms of Avicularia Lamarck, 1818 (syn. nov.). Theraphosa Walckenaer, 1805 is a suprageneric name of the class-series (synonymous to Mygalomorphae) and not available at the genus level.

Probabilistic Selection of Case-Based Explanations in an Underwater Mine Clearance Domain

2019 ◽  
pp. 110-124
Author(s):  
Venkatsampath Raja Gogineni ◽  
Sravya Kondrakunta ◽  
Danielle Brown ◽  
Matthew Molineaux ◽  
Michael T. Cox
Keyword(s):  
Case Based ◽  
Selection Of

scholarly journals Manajemen Biaya untuk Meningkatkan Ketepatan Penghitungan Biaya melalui Biaya Berbasis Aktivitas

2018 ◽  
Vol 7 (2) ◽  
pp. 125
Author(s):  
Agung Listiadi
Keyword(s):  
Cost Driver ◽  
Management Systems ◽  
Activity Based Costing ◽  
High Quality ◽  
Overhead Cost ◽  
Consumption Cost ◽  
Costing System ◽  
Major Factors ◽  
The Cost ◽  
Selection Of

Cost is an important factor in ensuring the company win in the competition on the market. Consumers will choose a manufacturer that is able to produce products and services that have high quality with low prices. Costs of Management Systems Contemporary emphasis on search than the allocation. And management based activities are at the heart of contemporary operating control system. At least two major factors that must be considered in the selection of cost driver (cost driver) are: the cost of measurement and the degree of correlation between the consumption cost driver with the actual overhead. Cost driver is divided into two categories, namely the structural cost driver and executional cost driver. Cost driver is the basis used to charge collected on cost pool to the product. So that the calculation of the cost through Time Driven activity-based costing system, the company obtain more precise information and accurate.

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