The Experts below are selected from a list of 40911 Experts worldwide ranked by ideXlab platform
O. Hawaleshka - One of the best experts on this subject based on the ideXlab platform.
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System modelling for economic raw Material Selection
International Journal of Production Research, 1995Co-Authors: R. Chen, O. Hawaleshka, D. StrongAbstract:A system simulation method for economic raw Material Selection is presented, based on a realistic example. The total cost considered in raw Materials Selection is deemed to include the basic raw Material cost, the extra manufacturing cost due to the Selection of the particular raw Material, and the final product quality cost. These costs are systematically simulated for three typical areas of interest: for the purchasing operation, for the manufacturing process and for the final product quality acceptance by the customer.
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An economic model for raw Material Selection
International Journal of Production Research, 1993Co-Authors: D. Strong, O. HawaleshkaAbstract:An economic model for raw Material Selection is presented and a case analysis is given. The model considers two decision factors: initial raw Material cost and additional manufacturing costs incurred due to inappropriateness of raw Material quality. This additional manufacturing cost may include items such as: extra operator cost, extra machine cost and extra quality cost.
Ali Shanian - One of the best experts on this subject based on the ideXlab platform.
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an application of the analytic network process in multiple criteria Material Selection
Materials & Design, 2013Co-Authors: Abbas S. Milani, Ali Shanian, C Lynam, T ScarinciAbstract:Abstract Using the Analytic Network Process (ANP), this article aims at presenting a new concept for multicriteria Material Selection by means of allowing feedback and interactions within and between sets of design criteria and alternatives. The approach and its advantages are discussed using a multicriteria Material Selection case study on non-metallic gears under multifunctional design requirements (thermal performance, mechanical performance, and weight). In particular, it is shown how the Selection of Material alternatives under different criteria can be viewed as a network problem, as opposed to a conventional hierarchical decision-making process. The effect of different weighting factors of criteria clusters on the final solution is also discussed.
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A group decision making approach in multi-criteria Material Selection
2007Co-Authors: Abbas S. Milani, Ali Shanian, R. C. AbeyaratneAbstract:This paper presents a post-operation group decision making approach for multi-criteria Material Selection problems. In this approach, a group of Materials experts are independently asked to assign their ordinal set of preferences over given design criteria. The solution process is then followed by deriving criteria weights for each designer using the revised Simos' method [1] and using them in the ELECTRE III decision making model [2]. Among different sets of ranking solutions obtained from different designers, the candidate Materials that show the most stable (with least separations) and the highest ranks are considered as best compromised candidates. To account for decision separations from different designers while optimizing the rank, an overall loss function is defined for each Material and used to make final group decisions. The application of the approach is shown using an illustrative example in Material Selection of a thermal loaded conductor cover sheet.
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a Material Selection model based on the concept of multiple attribute decision making
Materials & Design, 2006Co-Authors: Ali Shanian, Oumarou SavadogoAbstract:Abstract Replacing and selecting Materials for different engineering applications is relatively common. It must be noted that in some cases, there is more than a single definite criterion for selecting the right kind of Material. The designers and engineers have to take into account a large number of Material Selection criteria. Experts usually apply trial and error methods or build on previous experimentation. In this paper, a new approach has been carried out for the use of the ELECTRE: ELimination Et Choix Traduisant la REalite (ELimination and Choice Expressing the REality) model in Material Selection. By producing a Material Selection decision matrix and criteria sensitivity analysis, ELECTRE has been applied to obtain a more precise Material Selection for a particular application, including logical ranking of considered Materials. A list of all possible choices from the best to the worst suitable Materials can be obtained taking into account all the Material Selection criteria, including the cost of production. This work shows that ELECTRE can be used successfully in selecting a suitable Material for the particular application of a loaded thermal conductor. There is good agreement between the results of the methods being used and available data in Cambridge Engineering Selector (CES) databases. A computer program, Mathematica has been developed to facilitate the application of the method to other types of Material Selection problems.
D. Strong - One of the best experts on this subject based on the ideXlab platform.
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System modelling for economic raw Material Selection
International Journal of Production Research, 1995Co-Authors: R. Chen, O. Hawaleshka, D. StrongAbstract:A system simulation method for economic raw Material Selection is presented, based on a realistic example. The total cost considered in raw Materials Selection is deemed to include the basic raw Material cost, the extra manufacturing cost due to the Selection of the particular raw Material, and the final product quality cost. These costs are systematically simulated for three typical areas of interest: for the purchasing operation, for the manufacturing process and for the final product quality acceptance by the customer.
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An economic model for raw Material Selection
International Journal of Production Research, 1993Co-Authors: D. Strong, O. HawaleshkaAbstract:An economic model for raw Material Selection is presented and a case analysis is given. The model considers two decision factors: initial raw Material cost and additional manufacturing costs incurred due to inappropriateness of raw Material quality. This additional manufacturing cost may include items such as: extra operator cost, extra machine cost and extra quality cost.
Shankar Chakraborty - One of the best experts on this subject based on the ideXlab platform.
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Gear Material Selection using Complex Proportional Assessment and Additive Ratio Assessment-based Approaches: A Comparative Study
Journal of materials science & engineering, 2020Co-Authors: Prasenjit Chatterjee, Shankar ChakrabortyAbstract: Abstract—Material Selection is one of the most important decisions in optimal design of any manufacturing process and product. Proper Material Selection plays an elementary role for a productive manufacturing system with superior product and process excellence along with cost optimization. Improper Material Selection frequently causes enormous cost contribution and drives an organization towards immature product failure. A proficient methodology for Material Selection is thus required to help the manufacturing organizations for selecting the best Material for a particular application. This paper focuses on the applications of two almost unrevealed multi-criteria approaches, namely complex proportional assessment (COPRAS) and additive ratio assessment (ARAS)-based methods for solving a gear Material Selection problem in a given manufacturing environment. A complete list of all the prospective Materials from the best to the worst is obtained, taking into account multi-conflicting Material Selection attributes. The ranking performance of these two methods is also compared with that of the past researchers. Index Terms—gear Material Selection, MCDM, COPRAS, ARAS, performance analysis
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Development of a hybrid meta-model for Material Selection using design of experiments and EDAS method
Engineering Transactions, 2018Co-Authors: Prasenjit Chatterjee, Arnab Banerjee, Suprakash Mondal, Soumava Boral, Shankar ChakrabortyAbstract:Selection of Materials for a specific application is one of the extremely demanding problems in a synchronised manufacturing environment as it directly determines perceptible quality and cost of the product. Material Selection is a complex process, intending to choose the best Material while satisfying a pre-decided set of requirements. Material Selection decision is made during preliminary product design stage. An improperly chosen Material leads not only to an early component failure but also to a redundant cost involvement. There are numerous Materials and various criteria influencing the Material Selection process for a particular application. Although a good amount of multi-criteria decision-making (MCDM) methods are available to deal with this type of Selection applications, this paper aims to propose a hybrid method of design of experiments (DOE) and evaluation based on distance from average solution (EDAS) to solve Material Selection problems in current industrial applications. DOE and EDAS are used jointly to determine the critical Material Selection criteria and their interactions by fitting a polynomial to the experimental data in a multiple linear regression analysis. A gear Material Selection problem is demonstrated to establish the application competence of the DOE-EDAS method. Application results were validated with the results of the previous researchers and they indicate that the proposed DOE-EDAS hybrid model is straightforward, robust and practical in solving complex MCDM problems.
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Material Selection using preferential ranking methods
Materials & Design, 2012Co-Authors: Prasenjit Chatterjee, Shankar ChakrabortyAbstract:Abstract The role of Materials in the engineering design process has already been well recognized. Choice of an appropriate Material for a particular product is one of the critical tasks for the designers. Designers need to identify Materials with specific functionalities in order to find feasible design concepts and fulfill the product’s end requirements. There is a vast array of Materials with diverse properties available to the designers to satisfy different design requirements. The large number of available Materials together with the complex relationships between various Selection criteria, often make the Material Selection process a difficult and time consuming task. A systematic and efficient approach towards Material Selection is necessary in order to select the best alternative for a given engineering application. This paper focuses on the application of four preference ranking-based multi-criteria decision-making (MCDM) methods for solving a gear Material Selection problem. These are extended PROMETHEE II (EXPROM2), complex proportional assessment of alternatives with gray relations (COPRAS-G), ORESTE (Organization, Rangement Et Synthese De Donnes Relationnelles) and operational competitiveness rating analysis (OCRA) methods. Using these four methods, a list of all the possible choices from the best to the worst suitable Materials is obtained taking into account different Material Selection criteria. The ranking performance of these methods is also compared with that of the past researchers.
Abbas S. Milani - One of the best experts on this subject based on the ideXlab platform.
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an application of the analytic network process in multiple criteria Material Selection
Materials & Design, 2013Co-Authors: Abbas S. Milani, Ali Shanian, C Lynam, T ScarinciAbstract:Abstract Using the Analytic Network Process (ANP), this article aims at presenting a new concept for multicriteria Material Selection by means of allowing feedback and interactions within and between sets of design criteria and alternatives. The approach and its advantages are discussed using a multicriteria Material Selection case study on non-metallic gears under multifunctional design requirements (thermal performance, mechanical performance, and weight). In particular, it is shown how the Selection of Material alternatives under different criteria can be viewed as a network problem, as opposed to a conventional hierarchical decision-making process. The effect of different weighting factors of criteria clusters on the final solution is also discussed.
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A group decision making approach in multi-criteria Material Selection
2007Co-Authors: Abbas S. Milani, Ali Shanian, R. C. AbeyaratneAbstract:This paper presents a post-operation group decision making approach for multi-criteria Material Selection problems. In this approach, a group of Materials experts are independently asked to assign their ordinal set of preferences over given design criteria. The solution process is then followed by deriving criteria weights for each designer using the revised Simos' method [1] and using them in the ELECTRE III decision making model [2]. Among different sets of ranking solutions obtained from different designers, the candidate Materials that show the most stable (with least separations) and the highest ranks are considered as best compromised candidates. To account for decision separations from different designers while optimizing the rank, an overall loss function is defined for each Material and used to make final group decisions. The application of the approach is shown using an illustrative example in Material Selection of a thermal loaded conductor cover sheet.