Optimisation of shock absorber process parameters using failure mode and effect analysis and genetic algorithm

Mariajayaprakash, A.; Senthilvelan, T.; Vivekananthan, Krishnapillai Ponnambal

doi:10.1186/2251-712x-9-18

Cited by 15 publications

(9 citation statements)

References 27 publications

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“…solutions. This algorithm represents more general approximate solution procedure applicable to a large variety of optimization problems (e.g., in Izadi and Kimiagari 2014;AriaNezhad et al 2013;and Mariajayaprakash et al 2013), since it is tailored to solve various optimization problems in diverse research fields. It has been shown that metaheuristics are able to tackle instances of problems that are believed to be hard in general, by exploring usually large solution search spaces of the instances.…”

Section: Solution Methodologymentioning

confidence: 99%

Multi-site production planning in hybrid make-to-stock/make-to-order production environment

2014

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Today competitive environment has enforced practitioners and researchers to pay great attention to issues enhancing both production and marketing competitiveness. To do so, it has been obligatory for the firms to consider production side activities while customer requirements are on the other side of competition. In this regard, hybrid make-to-stock (MTS)/make-to-order (MTO) production systems have revealed outstanding results. This paper addresses multi-site production planning of a hybrid manufacturing firm for the first time in the hybrid systems' body of literature. In this regard, a network of suppliers, manufacturers and customers is considered for which a mixed-integer mathematical model is proposed. Objective function of the proposed mathematical model seeks to maximize profitability of the manufacturing firm. Because of computational complexity of the developed mathematical model, a genetic algorithm is developed upon which numerical experiments are reported in order to show validity and applicability of the proposed model.

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Section: Solution Methodologymentioning

confidence: 99%

Multi-site production planning in hybrid make-to-stock/make-to-order production environment

2014

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“…The results showed that the cooling time was the most effective factor for LPDE followed by refilling pressure and injection pressure was found to be the least effective factor. Mariajayaprakash et al (2013) found the optimum process parameters of shock absorber process using failure mode and effect analysis and genetic algorithm. Chen et al (2013) studied on simultaneous optimization of multiple interrelated quality indices, leading to product quality improvement in the field of plastic injection molding.…”

Section: Literature Reviewmentioning

confidence: 99%

A Taguchi approach on optimal process control parameters for HDPE pipe extrusion process

Sharma¹,

Rao²,

Rao

2016

J Ind Eng Int

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High-density polyethylene (HDPE) pipes find versatile applicability for transportation of water, sewage and slurry from one place to another. Hence, these pipes undergo tremendous pressure by the fluid carried. The present work entails the optimization of the withstanding pressure of the HDPE pipes using Taguchi technique. The traditional heuristic methodology stresses on a trial and error approach and relies heavily upon the accumulated experience of the process engineers for determining the optimal process control parameters. This results in setting up of less-than-optimal values. Hence, there arouse a necessity to determine optimal process control parameters for the pipe extrusion process, which can ensure robust pipe quality and process reliability. In the proposed optimization strategy, the design of experiments (DoE) are conducted wherein different control parameter combinations are analyzed by considering multiple setting levels of each control parameter. The concept of signal-to-noise ratio (S/N ratio) is applied and ultimately optimum values of process control parameters are obtained as: pushing zone temperature of 166°C, Dimmer speed at 08 rpm, and Die head temperature to be 192°C. Confirmation experimental run is also conducted to verify the analysis and research result and values proved to be in synchronization with the main experimental findings and the withstanding pressure showed a significant improvement from 0.60 to 1.004 Mpa.

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“…Risks with higher RPN values are assumed to be more important and are given higher priorities over others (Mariajayaprakash et al 2013). Each potential risk associated with the MPD process is scored in relation to O, S and D (refer Table 7).…”

Section: Failure Mode and Effect Analysis (Fmea)mentioning

confidence: 99%

Risk management in medical product development process using traditional FMEA and fuzzy linguistic approach: a case study

Kirkire¹,

Rane²,

Jadhav

2015

J Ind Eng Int

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Medical product development (MPD) process is highly multidisciplinary in nature, which increases the complexity and the associated risks. Managing the risks during MPD process is very crucial. The objective of this research is to explore risks during MPD in a dental product manufacturing company and propose a model for risk mitigation during MPD process to minimize failure events. A case study approach is employed. The existing MPD process is mapped with five phases of the customized phase gate process. The activities during each phase of development and risks associated with each activity are identified and categorized based on the source of occurrence. The risks are analyzed using traditional Failure mode and effect analysis (FMEA) and fuzzy FMEA. The results of two methods when compared show that fuzzy approach avoids the duplication of RPNs and helps more to convert cognition of experts into information to get values of risk factors. The critical, moderate, low level and negligible risks are identified based on criticality; risk treatments and mitigation model are proposed. During initial phases of MPD, the risks are less severe, but as the process progresses the severity of risks goes on increasing. The MPD process should be critically designed and simulated to minimize the number of risk events and their severity. To successfully develop the products/devices within the manufacturing companies, the process risk management is very essential. A systematic approach to manage risks during MPD process will lead to the development of medical products with expected quality and reliability. This is the first research of its kind having focus on MPD process risks and its management. The methodology adopted in this paper will help the developers, managers and researchers to have a competitive edge over the other companies by managing the risks during the development process.

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Optimisation of shock absorber process parameters using failure mode and effect analysis and genetic algorithm

Cited by 15 publications

References 27 publications

Multi-site production planning in hybrid make-to-stock/make-to-order production environment

Multi-site production planning in hybrid make-to-stock/make-to-order production environment

A Taguchi approach on optimal process control parameters for HDPE pipe extrusion process

Risk management in medical product development process using traditional FMEA and fuzzy linguistic approach: a case study

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