Close-Loop Cost Equation for Objects Manufactured by Milling

2003 ◽  
Vol 125 (3) ◽  
pp. 436-448 ◽  
Author(s):  
Uday A. Kulkarni ◽  
Han P. Bao
Keyword(s):  
Cost Estimation ◽  
Process Model ◽  
System Analysis ◽  
Development Stage ◽  
Milling Process ◽  
Multidisciplinary Optimization ◽  
Parametric Estimation ◽  
Design Stage ◽  
Estimation Model ◽  
Early Design Stage

One of the major drawbacks of present cost estimation models is their incapability of embracing effectively complete product development stage. Parametric estimation works well in early design stage, but when it comes to detail design stage, a more complete estimation is provided by process model based and detail estimation techniques. A major paradigm shift is proposed in this paper whereby “Cost” is to be considered as a design parameter from scientific perspective and it is to be treated as a design consequence rather than as an operational outcome. A comprehensive framework using System Analysis fundamentals is designed to study ‘’Process Cost” aspects of a part or a design. The paper gives detailed implementation of this new approach for objects manufactured largely by milling operation. The paper also suggests a methodology to extend this approach to other manufacturing processes. The proposed Generic Cost Estimation Model shows good agreement with cost estimation by commercial estimation software when applied to the objects manufactured by milling process. It also promises integration of “Cost” with other disciplines in Multidisciplinary Optimization and Collaborative Engineering. The integration is achievable through new information technology interface tools.

Cost Estimation Model for Few Samples and Information in Product Early Design Stage

2009 ◽  
Vol 628-629 ◽  
pp. 311-316
Author(s):  
Shao Fei Jiang ◽  
Cong Da Lu
Keyword(s):  
Cost Estimation ◽  
Product Information ◽  
Design Stage ◽  
Brake Disc ◽  
Estimation Result ◽  
Estimation Model ◽  
Product Cost ◽  
Early Design ◽  
Early Design Stage ◽  
Cost Estimation Model

Product cost estimation in early design stage puzzles researchers for long-time. A new product cost estimation model is proposed, which is applicable for few estimating samples and product information in early design stage. Similarity between the estimating product and the samples are calculated by model of Euclidean distance. Both of utilization ratio of estimating samples and reliability of estimation result are improved based on samples’ sequencing for effect of product cost. The cost estimation model is applied in design of claw of brake disc. The estimation result indicates that the presented model can be used for condition of few estimating samples and product information in early design phase.

scholarly journals Implementation of MCA Method for Identification of Factors for Conceptual Cost Estimation of Residential Buildings

2013 ◽  
Vol 8 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Michał Juszczyk ◽  
Agnieszka Leśniak ◽  
Krzysztof Zima
Keyword(s):  
Comparative Analysis ◽  
Cost Estimation ◽  
Construction Projects ◽  
Residential Buildings ◽  
Residential Building ◽  
Design Stage ◽  
Problem Solution ◽  
Key Factors ◽  
Early Design Stage ◽  
Select Group

Abstract Conceptual cost estimation is important for construction projects. Either underestimation or overestimation of building raising cost may lead to failure of a project. In the paper authors present application of a multicriteria comparative analysis (MCA) in order to select factors influencing residential building raising cost. The aim of the analysis is to indicate key factors useful in conceptual cost estimation in the early design stage. Key factors are being investigated on basis of the elementary information about the function, form and structure of the building, and primary assumptions of technological and organizational solutions applied in construction process. The mentioned factors are considered as variables of the model which aim is to make possible conceptual cost estimation fast and with satisfying accuracy. The whole analysis included three steps: preliminary research, choice of a set of potential variables and reduction of this set to select the final set of variables. Multicriteria comparative analysis is applied in problem solution. Performed analysis allowed to select group of factors, defined well enough at the conceptual stage of the design process, to be used as a describing variables of the model.

scholarly journals Early Cost Estimation in Customized Furniture Manufacturing Using Machine Learning

2021 ◽  
Vol 11 (1) ◽  
pp. 28-33
Author(s):  
O. Kurasova ◽  
◽  
V. Marcinkevičius ◽  
V. Medvedev ◽  
B. Mikulskienė
Keyword(s):  
Machine Learning ◽  
Cost Estimation ◽  
Early Stage ◽  
Machine Learning Techniques ◽  
Design Stage ◽  
Early Design Stage ◽  
Furniture Manufacturing ◽  
Learning Techniques ◽  
Key Factor ◽  
The Cost

Accurate cost estimation at the early stage of a construction project is a key factor in the success of most projects. Many difficulties arise when estimating the cost during the early design stage in customized furniture manufacturing. It is important to estimate the product cost in the earlier manufacturing phase. The cost estimation is related to the prediction of the cost, which commonly includes calculation of the materials, labor, sales, overhead, and other costs. Historical data of the previously manufactured products can be used in the cost estimation process of the new products. In this paper, we propose an early cost estimation approach, which is based on machine learning techniques. The experimental investigation based on the real customized furniture manufacturing data is performed, results are presented, and insights are given.

Sensitivity Analysis in Perceptual Evaluation of System Module Concepts

2007 ◽  
Author(s):  
Shun Takai ◽  
Kosuke Ishii
Keyword(s):  
Sensitivity Analysis ◽  
Cost Estimation ◽  
Imperfect Information ◽  
Rating Scales ◽  
System Development ◽  
Development Stage ◽  
Design Stage ◽  
Perceptual Evaluation ◽  
Concept Evaluation ◽  
System Module

Selecting optimum concepts for a system and its subsystems in the conceptual design stage involves uncertainties due to imperfect information about customer preferences (market shares), cost of the system developed from each concept, and feasibility of new technology used in the new system. When analytical relationships between system performance and system inputs or parameters are unknown in the early system development stage, one approach to quantify the goodness of a concept is to use rating scales. This paper studies the effects of variations (precisions) in rating scales and in cost estimation for evaluating the goodness of system module concepts (e.g., sub-systems, assemblies, subassemblies, and parts). This paper presents a global sensitivity analysis (GSA) in perceptual concept evaluation, three probability measures for evaluating and selecting optimum concepts in GSA, and one-set-of-factors-at-a-time GSA to identify the sets of factors that cause significant variations in concept evaluation outcomes.

Cost estimation through Monte Carlo simulation in architectural early design stage

2020 ◽  
pp. 002072092092330
Author(s):  
Nan Wu ◽  
Shen-Guan Shih
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Cost Estimation ◽  
Architectural Design ◽  
Construction Cost ◽  
Design Stage ◽  
Design Decision ◽  
Affecting Factors ◽  
Early Design ◽  
Early Design Stage

Architectural design can be considered an information-adding process, and within this process, each design decision provides information that uncovers some uncertainty regarding what is to be constructed. In early design stages, cost estimation is indispensable for subsequent decision making, but it cannot be accurate owing to the uncertainty associated with decisions that have not been made. This study proposes a Monte Carlo simulation–based method for designers to estimate potential trends in the construction cost of future design developments. The simulation reveals the probability distribution of construction cost via massive sampling over acceptable ranges of cost-affecting factors that have not yet been uncovered in the current design stage. The simulation result can serve as a part of a dashboard that provides guidance to designers for more optimally controlling construction cost.

scholarly journals Imagineering Learning With Logical Problem Solving

2021 ◽  
Vol 10 (3) ◽  
pp. 112
Author(s):  
Pongsakorn Kanoknitanunt ◽  
Prachyanun Nilsook ◽  
Panita Wannapiroon
Keyword(s):  
Problem Solving ◽  
Learning Process ◽  
Process Model ◽  
Computational Thinking ◽  
Development Stage ◽  
Design Stage ◽  
Innovation Development ◽  
Logical Problem ◽  
Evaluation Stage ◽  
Relationship Of

This study aimed at developing an imagineering learning process model with logical solutions by using documentary research and relevant experts’ viewpoints with regard to the process of Imagineering Learning—problem-based learning (PBL) involving logical and computational thinking. The data were then synthesized in order to find the relationship of learning theory to achieve an Imagineering Learning process by solving logic problems. The analysis of related documents and research revealed that the Imagineering Learning process involving logical problem solving consisted of 6 important steps as follows: 1) the problem-solving stage, 2) the problem-solving design stage, 3) the innovation development stage, 4) the innovation presentation, 5) the innovation improvement stage, 6) the evaluation stage. The aforementioned learning process can also result in the development of students’ innovative skills, and encouraging learners to develop such skills. The emphasis in terms of the Imagineering process is to create inspiration for the imagination of things that do not yet occur. The process then continues with innovation development by using the PBL process in which students learn solution thinking, focusing on logically-prioritizing problems and their causes and effects. This creates structural and systematic learning through practice, so that students can develop the ability to seek knowledge and develop problem-solving abilities.

Practical Application Study of Gaussian Process Model in Construction Project Cost Estimation

2013 ◽  
Vol 671-674 ◽  
pp. 3100-3106
Author(s):  
Xin Liang Liu ◽  
Tao Yin ◽  
Guo Dong Wu
Keyword(s):  
Gaussian Process ◽  
Cost Estimation ◽  
Process Model ◽  
Critical Factor ◽  
Estimation Model ◽  
Project Cost ◽  
Gaussian Process Model ◽  
Model Based ◽  
Cost Estimation Model ◽  
Construction Project Cost

Early understanding of construction cost represents a critical factor of a feasibility study in the early design phase of a project. A new project cost estimation model based on Gaussian Process was proposed. Gaussian Process model theory was introduced, and project cost estimation model based on Gaussian Process’ flow chart was analyzed in detail. Through example analysis, project cost estimation model based on Gaussian Process using Nelder-Mead and genetic algorithms algorithm was proven feasible for this problem and represented accuracy than BP neural network.

scholarly journals Collaboration through Integrated BIM and GIS for the Design Process in Rail Projects: Formalising the Requirements

2021 ◽  
Vol 6 (4) ◽  
pp. 52
Author(s):  
Sahar Kurwi ◽  
Peter Demian ◽  
Karen B. Blay ◽  
Tarek M. Hassan
Keyword(s):  
Design Process ◽  
Process Model ◽  
Design Stage ◽  
Online Questionnaire ◽  
Early Design Stage ◽  
Investment Projects ◽  
Face To Face ◽  
Complex Design ◽  
Building Information ◽  
Effective Delivery

Many of the obstacles to effective delivery of rail projects (in terms of cost, time and quality) can be traced back to poor collaboration across complex design teams and supply chains. As in any infrastructure delivery process, it is important to make decisions collaboratively at an early design stage. Advanced systems such as Building Information Modelling (BIM) and Geographic Information Systems (GIS) can facilitate collaboration during the decision-making process and boost work efficiencies. Such potential benefits are not realised because the roles of BIM and GIS in facilitating collaboration are not clearly understood or articulated. This paper aims to identify and articulate collaboration requirements during the design stage of rail projects. To achieve this, a mixed-method approach was employed to examine the issues that hinder collaboration in rail projects. An online questionnaire was designed to assess the state-of-art in BIM and GIS, followed by fifteen follow-up face to face interviews with experts to identify collaboration issues and suggestions to overcome them. The research identified the main challenges to effective collaboration and provided suggestions to overcome them. The main challenges were managing information and a reluctance to use new collaboration technologies. The main solution which emerged from the data was to develop an original Collaborative Plan of Work (CPW). The developed CPW is tailored to rail projects and has been formulated by combining the RIBA (Royal Institute of British Architects) Plan of Work and the GRIP Stages (Governance for Railway Investment Projects). This comprehensive plan of work, which is uniquely collaboration-focused, is significant because it can be further developed to formulate a precise process model for collaboration during the design process of rail projects. Such a process can (for example) be configured into the workflow prescribed by a Common Data Environment.

Conceptual Process Planning: A Definition and Functional Decomposition

1999 ◽  
Author(s):  
Shaw C. Feng ◽  
Y. Zhang
Keyword(s):  
Conceptual Design ◽  
Process Planning ◽  
Development Stage ◽  
Design Stage ◽  
Design System ◽  
Prototype System ◽  
Manufacturing Cost ◽  
Activity Model ◽  
Early Design Stage ◽  
Definition Of

Abstract Conceptual process planning is an activity for designers to evaluate manufacturability and the manufacturing cost in the early design stage for mechanical parts production. Since major manufacturing costs of a product are committed in product specification and design, it is critical to be able to assess manufacturability and cost as early as possible in the design process. At the National Institute of Standards and Technology, the Design and Process Planning Integration (DPPI) project addresses the need for improving communication between conceptual design and conceptual process planning activities. Documenting the DPPI foundation, this paper provides a definition of conceptual process planning and describes its functions in an activity model. Also, this paper describes the conceptual process planning prototype system that has been implemented and integrated with a conceptual design system. The prototype system validates the definition, the activity model, and the integration between process planning and design in the early product development stage.

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