Taguchi-Based Optimization of Machining Parameter in Drilling Spheroidal Graphite Using Combined TOPSIS and AHP Method

Chavan, Pruthviraj; Patil, Ajinkya

doi:10.1007/978-981-13-8196-6_70

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The hybrid AHP-TOPSIS method used by many researchers in MCDM problems such as machining parameters optimization [102], ranking human capital indicators [103], designing high-performance concrete mixtures [104], improving cities sustainability [105], etc., and proved as a robust research method. Therefore, it will be used to construct the DMT.…”

Section: Decision-making Tools (Dmt) For Pmsmentioning

confidence: 99%

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Ubaid,

Dweiri

2023

NJES

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This research aims to develop and validate a smart PMS. The PMS will create a foundation for PMSs that will be used by organizations in the digital era. A three-step methodology was used in the current research. First, the archival literature analysis was used to identify the features and elements of the robust PMSs. Second, a generic PMS was constructed based on the results of the first step. Third, the generic PMS was amended, implemented in the workshop, and validated by discussing the results with a focus group of experts. The academic and technical contribution can be seen in proposing a generic Virtual Organizational Deoxyribonucleic Acid (V-DNA) concept and smart PMS (Performance Management Dashboard (PMD) and Decision-Making Tool (DMT)) based on the features and elements of the robust PMSs. The generic V-DNA and PMS were amended and implemented in the stated workshop. Then, the validation process was done by presenting the implementation results to a focus group of academic experts and taking their feedback. Applying the PMD and the DMT to monitor, analyze, and manage workshop performance was successful. The PMD proved a useful tool that can provide a holistic view of the workshop performance areas instead of focusing on isolated business aspects such as workshop productivity or efficiency. The decision-makers directly identified the low-performing and highly performing KPIs/processes/sub-processes and identified the root causes of low and high performance. The DMT proved a useful tool. The decision-makers could evaluate all sub-processes and rank them based on the values and weights of the decision-making criteria, highlighting the areas that need improvement. The originality and novelty of the proposed PMS and the V-DNA were proved through a systematic literature review process. The implications of the research can be seen in the possibility of testing the generic V-DNA and the PMS templates in organizations of different sizes and sectors to check their applicability. Moreover, other layers of the organizational V-DNA can be proposed. The current research assists the practitioners and managers in constructing the PMSs they need for their workshops/factories/companies.

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Section: Decision-making Tools (Dmt) For Pmsmentioning

confidence: 99%

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Ubaid,

Dweiri

2023

NJES

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“…Therefore, this paper presents a TOPSIS-based Taguchi method to handle both input factors' individual and their interactions' effects on system performance. In the literature, the TOPSIS-based Taguchi method is used to solve the multiobjective decision-making problems in major areas [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Importance of Machine Sequence Flexibility on A Flexible Manufacturing System Performance

İç

Yurdakul

Dengız

et al. 2023

Gazi University Journal of Science

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Machine sequence flexibility is defined as the combination of operation and routing flexibilities in this study. Its importance in performance level of a flexible manufacturing cell (FMC) is investigated in this study. Studies related with the effects of various flexibility types such as routing flexibility are available in the literature. For example, studies related with routing flexibility try to measure the effects of routing flexibility on the performance levels in operation of manufacturing systems under their own manufacturing environments. Similarly, this study also aims to present a performance measurement model based on Taguchi parameter design principles for investigating the effects of different levels of machine sequence flexibility on the performance of a flexible manufacturing cell and obtaining an optimum and robust performance level. Two main performance metrics namely, manufacturing lead time (MLT) and surface roughness (SR) are considered for the optimization of the FMC performance. Robot speed, cutting tool type and work-part material type are taken as the three other input factors to show importance of machine sequence flexibility with respect to the other inputs. The study presented in this paper points that machine sequence flexibility is the most effective input factor among the four input factors in the performance of the FMC.

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Grading of Spot Welding Electrode Material Properties Using AHP

Bachchhav

Kumbhare

Hoonur

et al. 2020

J. Mod. Mech. Eng. Technol.

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An objective of this research is to rank the essential property required for spot welding material selection. Total ten attributes namely Electrical conductivity, Thermal conductivity, Rockwell Hardness, Wear resistance, Density, Cost, Melting point, Percentage Elongation, Yield Strength and Ultimate Tensile Strength were considered for the purpose of selection of the electrode Material. In order to select appropriate spot welding electrode, authors have studied various Copper alloys having equally good properties. The selection of essential properties was done using Analytical Hierarchy Process (AHP). Experimental work have been carried out on Cu-Cr-Zr material using universal tensile and found that the strength and hardness increases with alloying element, however percentage elongation decreases by 50 % as compared to pure Cu. While performing AHP, the authors found that electrical conductivity, wear resistance, thermal conductivity and Rockwell hardness proved to be the most crucial parameters. Wear of electrode material also affects on current density and performance characteristics of spot welding process and makes it more expensive. The ranking of the property thus provide an input to apply various Multi-Attribution Decision Making (MADM) techniques for selection of the appropriate material for spot welding application. This work is recommended to spot welding electrode manufacturers as well as end users in order to prioritize the properties for selection of spot welding electrode with longer life and good weld quality.

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Taguchi-Based Optimization of Machining Parameter in Drilling Spheroidal Graphite Using Combined TOPSIS and AHP Method

Cited by 3 publications

References 3 publications

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Investigation of the Importance of Machine Sequence Flexibility on A Flexible Manufacturing System Performance

Grading of Spot Welding Electrode Material Properties Using AHP

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