Determining optimal process mean of two-market products

Teeravaraprug, Jirarat

doi:10.1007/s00170-003-1964-8

Cited by 16 publications

(4 citation statements)

References 23 publications

(26 reference statements)

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“…The designed method reduced the manufacturing cost and used to solve other stochastic optimization problems. Teeravaraprug 7 had demonstrated a zero-one programming model to integrate the nominal values of components and assemblies within the framework of tolerance synthesis. The results proved that the assembly mean may not be equal to the preferable mean; however, the loss function was used to narrow down the bias and variation of the assembly.…”

Section: Literature Reviewmentioning

confidence: 99%

Minimization of total manufacturing cost of a knuckle joint assembly by means of optimal tolerance allocation using various optimization algorithms

Dharmaraj¹,

Ravindran²,

Nagarajan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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In the present work, the minimization of total manufacturing cost of an assembly considering tolerance allocation using various optimization algorithms have been addressed. Complex assembly which consists of more than one critical dimension with any one dimension of the part involved in more than one dimensional chain has been considered in this work. The manufacturing cost of the various parts of an assembly with tolerance allocation has been minimized using the cost tolerance model. The benchmark solution to the problem has been derived using Lagrange Multiplier (LM) method. The results are improved using Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithm by considering the Alternate Nominal Dimension Selection (ANDS). The results have been compared with LM method and found GA outperformed ABC algorithm. Further the research has been extended by considering ANDS and Alternate Process Selection (APS) using Teaching-Learning Based Optimization (TLBO) algorithm and the results have been compared with benchmark solutions. The proposed method is suitable for any type of complex assembly. An Improved Knuckle Joint (IKJ) assembly has been chosen for the illustration of proposed methodology with an implementation strategy. From the results, it was noted that TLBO yielded better results in the aspect of minimizing the total manufacturing cost of IKJ assemblies.

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Section: Literature Reviewmentioning

confidence: 99%

Minimization of total manufacturing cost of a knuckle joint assembly by means of optimal tolerance allocation using various optimization algorithms

Dharmaraj¹,

Ravindran²,

Nagarajan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…According to the author, product quality is the society's loss when the product is sold to the customer. [7] adopted the quadratic quality loss function for evaluating the quality cost of a product for two different markets and obtained the optimum process mean based on maximizing the expected profit per item. Most of the works have addressed the 100% screening in the filling or canning process.…”

Section: Literature Reviewmentioning

confidence: 99%

Markovian approach enhancement to simplify optimal mean estimation

Basari¹,

Razali²,

Hussin³

et al. 2014

ams

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The determination of process mean is important in industries especially items that governed by laws and regulations on net content labeling. Thus, the economic selection of process targeting mainly the optimum process mean is critically significant since it will directly affected the quality characteristic of the item. Depending on the value of quality characteristic, an item can be reworked, scrapped or accepted by the system which is successfully transform to the finishing product by using the Markovian model. By assuming the quality characteristic is normally distributed, the optimum process mean is obtained via probability of the item being rework, scrap and accepted. In this paper, we present the analysis of selecting the process mean by referring to drink bottling production process. By varying the rework and scrap cost, the analysis shows the sensitivity of the Markov approach to determine process mean which maximizes the expected profit per item. Then an improvement of determining the optimal mean estimation is proposed to simplify the iteration process.

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“…One focuses on product target or product tolerance determination (Rahim and Shaibu 2000). The other one concentrates on process mean or process tolerance determination (Rahim, Bhadury, and Al-Sultan 2002;Teeravaraprug 2005;Jeang, Chung, and Hsieh 2007;Kuskay and Bulutcu 2011). Both approaches conceive of these determinations as independent steps (Hsu et al 2003;Feng and Kapur 2006;Chen and Lai 2007;Chen and Michael 2009), consider process specification as a variable in addition to process mean; however, this variable is included mainly for the purpose of online inspection sampling to screen nonconforming products during the production process.…”

Section: Introductionmentioning

confidence: 99%

Product and process parameters determination for quality and cost

Jeang

Lin

2013

International Journal of Systems Science

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The purpose of this study is to conduct a concurrent product and process parameters determination for further cost reduction and quality enhancement. The process design-related parameters, such as process mean, process tolerance and product design-related parameters, such as product tolerance, are considered simultaneously in the proposed approach. To reflect the response from these three key controllable characteristics: process mean, process tolerance and product tolerance, the key measurement score, which is the sum of the mean cost, tolerance cost, quality loss and failure cost, is used to evaluate the present model. Two examples are provided for demonstrating the application of single and multiple quality characteristics.

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Determining optimal process mean of two-market products

Cited by 16 publications

References 23 publications

Minimization of total manufacturing cost of a knuckle joint assembly by means of optimal tolerance allocation using various optimization algorithms

Minimization of total manufacturing cost of a knuckle joint assembly by means of optimal tolerance allocation using various optimization algorithms

Markovian approach enhancement to simplify optimal mean estimation

Product and process parameters determination for quality and cost

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