Book Reviews

Ostwald, Phillip F.; Muñoz, Jairo

doi:10.1080/10426919908914810

Cited by 3 publications

(3 citation statements)

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“…Using an analogy with metrology, the measurement process is a comparison of an unknown quantity with a known fixed quantity (i.e., a reference) (Ostwald and Muñoz, 2008). A reference is a multifaceted entity that can include a system of fundamental units and their derived units, a specified procedure of measure, an object of interest to be measured, an instrument of measure, and/or a specified environment.…”

Section: Introductionmentioning

confidence: 99%

Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge

Coatanéa

Nagarajan

Mokhtarian

et al. 2023

AIEDAM

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Automatically extracting knowledge from small datasets with a valid causal ordering is a challenge for current state-of-the-art methods in machine learning. Extracting other type of knowledge is important but challenging for multiple engineering fields where data are scarce and difficult to collect. This research aims to address this problem by presenting a machine learning-based modeling framework leveraging the knowledge available in fundamental units of the variables recorded from data samples, to develop parsimonious, explainable, and graph-based simulation models during the early design stages. The developed approach is exemplified using an engineering design case study of a spherical body moving in a fluid. For the system of interest, two types of intricated models are generated by (1) using an automated selection of variables from datasets and (2) combining the automated extraction with supplementary knowledge about functions and dimensional homogeneity associated with the variables of the system. The effect of design, data, model, and simulation specifications on model fidelity are investigated. The study discusses the interrelationships between fidelity levels, variables, functions, and the available knowledge. The research contributes to the development of a fidelity measurement theory by presenting the premises of a standardized, modeling approach for transforming data into measurable level of fidelities for the produced models. This research shows that structured model building with a focus on model fidelity can support early design reasoning and decision making using for example the dimensional analysis conceptual modeling (DACM) framework.

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Section: Introductionmentioning

confidence: 99%

Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge

Coatanéa

Nagarajan

Mokhtarian

et al. 2023

AIEDAM

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“…The manufacturing system consists of three essential parts such as input parameters like raw material, manpower, etc., process parameters like design, production, etc., and output parameters like final product, profit, etc. (Ostwald and Munoz, 2008). The manufacturing system consists of five basic components such as production method, human power, equipment, material handling, and product.…”

Section: Introductionmentioning

confidence: 99%

Exploring the success factors for examining the potential of manufacturing system output

Kumar

Singh

2018

BIJ

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Purpose The purpose of this paper is to explore the success factors for the assessment of manufacturing system output. Design/methodology/approach Exploratory factor analysis and second-order confirmatory factor analysis were used to analyze data and test hypotheses, respectively. A total of 36 observed variables were transformed into nine success factors, namely role of management (ROM), technical strength, employee strength, organizational strength (OS), resources (RS), production system, market research, effective planning, and research and development (RD). Findings The finding indicates that only four success factors, namely ROM, RS, OS, and RD, are positively related to all four outputs. Moreover, all nine success factors are positively associated with profit. Research limitations/implications The outcomes of the present work provide meaningful implications for researchers and practitioners as well. Originality/value Earlier studies have laid focus on single output only in the manufacturing system. In the present study, an effort has been made to focus on four output dimensions, namely final product, customer relationship, reputation, and profit, which are further strengthened by incorporating the concept of performance in manufacturing systems.

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“…1) in aspect of continuity, product variety and production volume [11][12][13]: 1. Project production (production is a complex process, low volume, high customization, the sequence of operations is unique to each project/product, fixed position layout).…”

Section: General Types Of Facility Layoutsmentioning

confidence: 99%

Facility layout redesign for efficiency improvement and cost reduction

Kovács¹,

Kot²

2017

J. Appl. Math. Comput. Mech.

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Abstract. In a competitive market the manufacturing companies have to produce cost effective products which can be realized by minimized production cost and higher effectiveness. The effective facility planning can significantly reduce the operational costs of companies. An adequate facility layout can result in the improvement of the performance of the production line. The Facility Layout Problem (FLP) is relating to location of objects (departments, workstations, machines, etc.) on a given site and the material flow between these objects. The goal of this study is to show the reasons, objectives and steps of a layout redesign process. The minimization of the workflow realized on the shop floor is an often applied an objective function during the layout redesign. Material flow efficiency is a commonly used term for the determination of the amount of workflow, which is the multiplication of material flow data and distance data. In this study, this mathematical method for workflow calculation is introduced. The described case study shows how the efficiency and reduced manufacturing cost of a real manufacturing system can be improved by re-layout design, while smaller floor space is needed for the production.

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Book Reviews

Cited by 3 publications

References 0 publications

Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge

Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge

Exploring the success factors for examining the potential of manufacturing system output

Facility layout redesign for efficiency improvement and cost reduction

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