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Book part
Publication date: 5 October 2018

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Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Article
Publication date: 1 February 2002

E. Solmaz, F.C. Babalık and F. Öztürk

In this paper, computer‐aided design optimization approach for hydrostatic bearings is presented. The optimization problem is formulated in multicriteria strategy. The…

Abstract

In this paper, computer‐aided design optimization approach for hydrostatic bearings is presented. The optimization problem is formulated in multicriteria strategy. The power loss and the temperature rise of oil are considered as performance measures for optimal hydrostatic bearing design. Optimization results indicate the effectiveness of the proposed combined approach which has advantages over the single criteria optimization. Sample results are presented to verify the proposed approach.

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Industrial Lubrication and Tribology, vol. 54 no. 1
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 28 January 2014

Antti Puurunen, Jukka Majava and Pekka Kess

Ensuring the sufficient service level is essential for critical materials in industrial maintenance. This study aims to evaluate the use of statistically imperfect data in…

Abstract

Purpose

Ensuring the sufficient service level is essential for critical materials in industrial maintenance. This study aims to evaluate the use of statistically imperfect data in a stochastic simulation-based inventory optimization where items' failure characteristics are derived from historical consumption data, which represents a real-life situation in the implementation of such an optimization model.

Design/methodology/approach

The risks of undesired shortages were evaluated through a service-level sensitivity analysis. The service levels were simulated within the error of margin of the key input variables by using StockOptim optimization software and real data from a Finnish steel mill. A random sample of 100 inventory items was selected.

Findings

Service-level sensitivity is item specific, but, for many items, statistical imprecision in the input data causes significant uncertainty in the service level. On the other hand, some items seem to be more resistant to variations in the input data than others.

Research limitations/implications

The case approach, with one simulation model, limits the generalization of the results. The possibility that the simulation model is not totally realistic exists, due to the model's normality assumptions.

Practical implications

Margin of error in input data estimation causes a significant risk of not achieving the required service level. It is proposed that managers work to improve the preciseness of the data, while the sensitivity analysis against statistical uncertainty, and a correction mechanism if necessary, should be integrated into optimization models.

Originality/value

The output limitations in the optimization, i.e. service level, are typically stated precisely, but the capabilities of the input data have not been addressed adequately. This study provides valuable insights into ensuring the availability of critical materials.

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Industrial Management & Data Systems, vol. 114 no. 1
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 18 October 2019

Lee Wilson

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30-Minute Website Marketing
Type: Book
ISBN: 978-1-83867-078-8

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Book part
Publication date: 29 July 2019

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Tech, Smart Cities, and Regional Development in Contemporary Russia
Type: Book
ISBN: 978-1-78973-881-0

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Book part
Publication date: 11 November 2019

Fermin Diez, Mark Bussin and Venessa Lee

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Fundamentals of HR Analytics
Type: Book
ISBN: 978-1-78973-964-0

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Article
Publication date: 20 September 2019

Rupinder Singh, Jasminder Singh Dureja, Manu Dogra and Jugraj Singh Randhawa

This paper aims to focus on the application of multi-attribute decision-making methods (MADMs) to ascertain the optimal machining parameters while turning Ti-6Al-4V alloy…

Abstract

Purpose

This paper aims to focus on the application of multi-attribute decision-making methods (MADMs) to ascertain the optimal machining parameters while turning Ti-6Al-4V alloy under minimum quantity lubrication (MQL) conditions using Jatropha-curcas oil (JCO) bio-based lubricant.

Design/methodology/approach

The experiments were designed and performed using Taguchi L27 design of experiments methodology. A total of 27 experiments were performed under MQL conditions using textured carbide cutting tools on which different MADMs like Analytic hierarchy process (AHP), Technique for order preference by similarity to ideal solution (TOPSIS) and Simple additive weighting (SAW) were implemented in an empirical manner to extract optimize machining parameters for turning of Ti-6Al-4V alloy under set of constrained conditions.

Findings

The results evaluated through MADMs exhibit the optimized set of machining parameters (cutting speed Vc = 80 m/min, feed rate f = 0.05 mm/rev. and depth of cut ap = 0.10 mm) for minimizing the average surface roughness (Ra), maximum flank wear (Vbmax), tangential cutting force (Fc) and cutting temperature (T). Further, analysis of variance (ANOVA) and traditional desirability function approach was applied and results of TOPSIS and SAW methods having optimal setting of parameters were compared as well as confirmation experiments were conducted to verify the results. A SEM analysis at lowest and highest cutting speeds was performed to investigate the tool wear patterns. At the highest speed, large cutting temperature generated, thereby resulted in chipping as well as notching and fracturing of the textured insert.

Originality/value

The research paper attempted in exploring the optimized machining parameters during turning of difficult-to-cut titanium alloy (Ti-6AL-4V) with textured carbide cutting tool under MQL environment through combined approach of MADMs techniques. Ti-6Al-4V alloy has been extensively used in important aerospace components like fuselage, hydraulic tubing, bulk head, wing spar, landing gear, as well as bio-medical applications.

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World Journal of Engineering, vol. 16 no. 5
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 1 December 2000

Hamadi Ammar and Yves Cherruault

Shows how a hi‐dimensional optimisation problem with linear inequalities constraints is converted into a global optimisation problem of one bounded variable function f*…

Abstract

Shows how a hi‐dimensional optimisation problem with linear inequalities constraints is converted into a global optimisation problem of one bounded variable function f*. Then, we reduce the feasible region f* before seeking its global optimum.

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Kybernetes, vol. 29 no. 9/10
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 5 June 2017

Karthik Bharathi S., S. Vinodh, Sriharsha Devarapu and Goutham Siddhamshetty

The purpose of the study reported in the paper is to apply a structured problem-solving approach based on the Lean approach to analyse weld defects and derive appropriate…

Abstract

Purpose

The purpose of the study reported in the paper is to apply a structured problem-solving approach based on the Lean approach to analyse weld defects and derive appropriate solutions.

Design/methodology/approach

Manufacturing organisations involved in welding fabrication are expected to reduce weld defects to attain competitive advantage. Weld defects need to be systematically analysed for valve performance enhancement. In this research study, Lean approach is used to reduce variations and waste by annihilating the root causes for failures that occur during submerged arc welding (SAW) process.

Findings

The deployment of solutions facilitated weld defect reduction and substantial financial savings for the organisation.

Research limitations/implications

The framework has been test-implemented for analysing variations and wastes generated in the SAW process. In future, studies could be conducted for assessing different welding processes.

Practical implications

The proposed Lean framework has been successfully implemented in a large-scale manufacturing unit involved in fabrication work.

Originality/value

Lean framework has been test-implemented in a large-scale manufacturing organisation involved in weld fabrication work.

Details

International Journal of Lean Six Sigma, vol. 8 no. 2
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 5 January 2010

A. Kaveh and S. Talatahari

The computational drawbacks of existing numerical methods have forced researchers to rely on heuristic algorithms. Heuristic methods are powerful in obtaining the solution…

Abstract

Purpose

The computational drawbacks of existing numerical methods have forced researchers to rely on heuristic algorithms. Heuristic methods are powerful in obtaining the solution of optimization problems. Although they are approximate methods (i.e. their solution are good, but not provably optimal), they do not require the derivatives of the objective function and constraints. Also, they use probabilistic transition rules instead of deterministic rules. The purpose of this paper is to present an improved ant colony optimization (IACO) for constrained engineering design problems.

Design/methodology/approach

IACO has the capacity to handle continuous and discrete problems by using sub‐optimization mechanism (SOM). SOM is based on the principles of finite element method working as a search‐space updating technique. Also, SOM can reduce the size of pheromone matrices, decision vectors and the number of evaluations. Though IACO decreases pheromone updating operations as well as optimization time, the probability of finding an optimum solution is not reduced.

Findings

Utilizing SOM in the ACO algorithm causes a decrease in the size of the pheromone vectors, size of the decision vector, size of the search space, the number of function evaluations, and finally the required optimization time. SOM performs as a search‐space‐updating rule, and it can exchange discrete‐continuous search domain to each other.

Originality/value

The suitability of using ACO for constrained engineering design problems is presented, and applied to optimal design of different engineering problems.

Details

Engineering Computations, vol. 27 no. 1
Type: Research Article
ISSN: 0264-4401

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