Optimal machining conditions with costs of quality and tool maintenance for turning

Hui, Yin; Leung, Lawrence C.; Linn, Richard J.

doi:10.1080/00207540010011063

Cited by 26 publications

(5 citation statements)

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“…The majority of EPQ models do not consider production rate 23 and those models that consider production rate ignore its impact on quality. The work of Hui et al 24 is one of few research papers that do not ignore the cost of quality. In that paper, the quality cost depended on the deviation from the targeted roughness and dimensions.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic production quantity model with variable machining rates and product quality

AlDurgam

Selim

Al‐Shihabi³

et al. 2019

International Journal of Engineering Business Management

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The literature has several models that jointly determine the economic production quantity (EPQ) and the rate of production. Very few models define production rate explicitly. In this article, the cutting speed controls the production rate and the proportion nonconforming. Thus, we propose a model that integrates EPQ, machining economics and quality. Even though the objective function of the model is non-convex, we show for realistic values of some technical parameters that a local minimum of the proposed mathematical model is also global. Examples clearly show the effect of the production economics factors on the optimal machining speed and production quantity.

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Section: Literature Reviewmentioning

confidence: 99%

Economic production quantity model with variable machining rates and product quality

AlDurgam

Selim

Al‐Shihabi³

et al. 2019

International Journal of Engineering Business Management

View full text Add to dashboard Cite

show abstract

“…Search for optimal or acceptable near-optimal solution(s) by a suitable optimization technique based on inputoutput and in-process parameter relationship or objective function formulated from model(s) with or without constraint(s), is a critical and difficult task for researchers and practitioners (Chen & Tsai, 1996;Cakir & Gurarda, 2000;Hui, Leung, & Linn, 2001]. A large number of techniques has been developed by researchers to solve these types of parameter optimization problems, and may be classified as conventional and nonconventional optimization techniques.…”

Section: Determination Of Optimal or Near-optimal Cutting Condition(s)mentioning

confidence: 99%

“…Liang, Mgwatu and Zuo (2001) extend the study of Wang, Zuo, Qi, and Liang (1996) on determination of optimal process parameter settings for multi-pass turning operation. Hui et al (2001) show how the choice of machining conditions for turning significantly impact on quality cost, by solving a nonlinear continuous constrained optimization problem using a nonlinear optimization search algorithm, based on quasi-Newton method and a finite difference gradient. Many other iterative mathematical search algorithms with their applications are reported in the literature, such as geometric programming approach (GopalaKrisnan & Al-Khayyal, 1991), and Nelson-Mead simplex search approach (Agapious, 1992a,b & c).…”

Section: Iterative Mathematical Search Techniquementioning

confidence: 99%

A review of optimization techniques in metal cutting processes

Mukherjee

Ray

2006

Computers & Industrial Engineering

467

197

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“…A feature based cost estimation system for machined parts needs to be quick and accurate and can be achieved by effective categorization of manufacturing features (Jung, 2002). A time dynamic economic model for single pass turning can influence the cost of machining quality, especially when incorporating the stochastic nature of tool life and tool maintenance activities (Hui, 2001). There are many cost estimating software for machining being used by industry without incorporating target‐costing methods (Gehman and Farnum, 2005).…”

Section: Relevant Literaturementioning

confidence: 99%

Design and development of a target‐costing system for turning operation

Gopalakrishnan

Kokatnur²,

Gupta³

2007

Journal of Manufacturing Technology Management

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PurposeThe main objective in writing this paper and conducting this research is to enhance the productivity in manufacturing operations by making them cost effective.Design/methodology/approachThis paper presents a target‐costing system and model developed for the turning operation and it has a user interface designed in Microsoft Visual Basic® with a database developed by using Microsoft Access®. An algorithm is developed to apply the concepts of target‐costing that selects the machining parameters and then determines the machining cost. A geometric programming model (Gopalakrishnan and Al‐Khayyal) was used in the development of this system.FindingsThe research determined that target‐costing models can be developed for the manufacturing industry and can be implemented in realistic manufacturing environment. The research also showcased the utility of the target‐costing model in terms of the underlying detailed system level parameters.Research limitations/implicationsThe research focuses on one manufacturing process but can be extended to other manufacturing processes and business cost and profit centers for providing overall and enhanced benefits at the corporate levels.Practical implicationsThe research details the development of a model that has been validated using practical shop floor data, hence implying its application in a wide variety of situations.Originality/valueThe original value of the paper lies in identifying the critical parameters and modeling approach towards target‐costing.

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Optimal machining conditions with costs of quality and tool maintenance for turning

Cited by 26 publications

References 0 publications

Economic production quantity model with variable machining rates and product quality

Economic production quantity model with variable machining rates and product quality

A review of optimization techniques in metal cutting processes

Design and development of a target‐costing system for turning operation

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