Multi-Criteria Model for the Selection of New Process Equipment in
Casting Manufacturing

Krulčić, Elvis; Pavletić, Duško; Doboviček, Sandro; Žic, Samir

doi:10.31803/tg-20220407112829

Cited by 5 publications

(4 citation statements)

References 0 publications

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“…Elvis et al 12 uses MCDM by applying the Delphi method to decide where to place a place a new tool or technology in the automotive manufacturing process.…”

Section: Literature Reviewmentioning

confidence: 99%

Ranking routes in semiconductor wafer fabs

Gupta

Hasenbein

Kim

2023

Sci Rep

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We develop a method to estimate the quality of processing routes in a wafer fabrication process. Ranking such routes can be useful for identifying the “best” and “worst” routes when making adjustments to recipes. Route categorization is also useful in developing efficient scheduling algorithms. In particular, we propose a method for ranking routes based on count-based metrics such as the number of defects on a wafer. We start with a statistical model to produce a “local” ranking of a tool and then build a “global” ranking via a heuristic procedure. Creating a fully statistical procedure for ranking routes in semiconductor fabrication plants is virtually impossible, given the number of possible routes and the limited data available. Nonetheless, our discussions with working engineers indicate that even approximate rankings are useful for making better operational decisions.

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“…Elvis et al 12 uses MCDM by applying the Delphi method to decide where to place a place a new tool or technology in the automotive manufacturing process.…”

Section: Literature Reviewmentioning

confidence: 99%

Ranking routes in semiconductor wafer fabs

Gupta

Hasenbein

Kim

2023

Sci Rep

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“…To properly define the Key Performance Indicators (KPIs) needed to determine the optimal solution for a design or analysis, it is necessary to use one of the many MCDM tools [18]. A model for selecting the most important KPIs and methods for selecting new assets in manufacturing is presented in a paper by the author [19], which can be used in combination with individual DFSSDM tools. Some tools such as the Pugh matrix [20], Design of Experiments (DoE) [8] are combined with other MCDM tools in their original form.…”

Section: Figure 3 Transition Model From Dfss To Dfssdm Hybrid Modelmentioning

confidence: 99%

Design for Six Sigma Digital Model for Manufacturing Process Design

Krulčić

Doboviček

Matika

et al. 2023

Teh. glas. (Online)

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The transition to digital manufacturing has become more important as the quantity and quality of the use of computer systems in manufacturing companies has increased. It has become necessary to model, simulate and analyse all machines, tools, and raw materials to optimise the manufacturing process. It is even better to determine the best possible solution at the stage of defining the manufacturing process by using technologies that analyse data from simulations to calculate an optimal design before it is even built. In this paper, Design for Six Sigma (DFSS) principles are applied to analyse different scenarios using digital twin models for simulation to determine the best configuration for the manufacturing system. The simulation results were combined with multi-criteria decision-making (MCDM) methods to define a model with the best possible overall equipment effectiveness (OEE). The OEE parameter reliability was identified as the most influential factor in the final determination of the most effective and economical manufacturing process configuration.

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“…[12] The decision to introduce a new process is always a complex and risky process. [13] Complex construction projects require appropriate planning that allows for time and cost optimisation. [14,15] Many contracts can suffer many delays and face problems due to procurement related issues.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the coefficient of unpredictable costs in the construction industry in Slovakia

Ďubek,

Ondrášová

2023

CzeJCivEng

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The main vision of the article is how the current situation in the construction industry affects the cost of construction equipment in Slovakia, because during the implementation, unforeseen costs enter the costs, which are not foreseen in the planning. Current inflation in Slovakia is one of the highest in Europe. The methods used during the research were initial quantitative questionnaires. The output of these was processed using statistical methods and subsequently evaluated. The current situation requires considerable attention in the calculation of individual construction costs. As it is a very challenging process due to the unpredictable market situation in terms of inflation, the price of energy increases, which also causes the rise in the prices of materials and wages. The data obtained can be used by construction companies to calculate the construction equipment. Construction companies in Slovakia can apply the information obtained in the preparation of a quote for construction work that includes construction equipment.

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Multi-Criteria Model for the Selection of New Process Equipment in Casting Manufacturing

Cited by 5 publications

References 0 publications

Ranking routes in semiconductor wafer fabs

Ranking routes in semiconductor wafer fabs

Design for Six Sigma Digital Model for Manufacturing Process Design

Analysis of the coefficient of unpredictable costs in the construction industry in Slovakia

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