An integrated AHP-TOPSIS framework for determination of leading industrial sectors

Rahmayanti, Dina; Meuthia, Yumi; Albin, Justin; Hafizh, Ahmad

doi:10.30656/jsmi.v5i2.3823

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…[10] proposed an improved lean manufacturing approach to improve the sustainability performance of manufacturing processes using fuzzy evaluation based on distance from average solution (EDAS) and fuzzy technique for order preference based on similarity to ideal solution (TOPSIS) to rank a set of kaizen events according to their ability to improve sustainability indicators. [11] also used the AHP approach to choose what production projects to prioritize by adding the context of sustainability in determining the criteria.…”

Section: Article History: Publishedmentioning

confidence: 99%

Quality Improvement Project Selection Using Fuzzy AHP and TOPSIS to Support Lean Six Sigma at PT ABC

Emi Rusmiati,

Siti Aisyah,

Laksmi Ambarwati

2024

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This research aims to improve project quality at PT ABC by integrating the Fuzzy Analytical Hierarchy Process (F-AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) within the Lean Six Sigma framework. This method assesses and selects quality improvement projects by considering uncertainty and complexity in decision-making. The Fuzzy AHP approach is used to flexibly assign criteria weights, while TOPSIS is used to rank projects based on performance scores relative to the ideal solution. This research aims to select the most suitable Lean Six Sigma project using the MCDM fuzzy AHP and TOPSIS approaches at PT ABC. There are three alternative quality improvement projects and three assessment criteria. The data processing results using Fuzzy AHP and TOPSIS showed that the most influential criterion was the impact criterion, with a value of 0.665. Overall, the order of influencing criteria is cost (0.260) and time (0.075). Based on a review of all criteria, the project to increase the drive plate production line (A) capacity was ranked first with a value of 0.772. Second place is the project to increase capacity and consolidate rear axle assemblies A and B with a value of 0.5529. Finally, the third is the process innovation and integrated manufacturing project to strengthen the business with a value of 0.4053.

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Section: Article History: Publishedmentioning

confidence: 99%

Quality Improvement Project Selection Using Fuzzy AHP and TOPSIS to Support Lean Six Sigma at PT ABC

Emi Rusmiati,

Siti Aisyah,

Laksmi Ambarwati

2024

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Integration of fuzzy AHP and fuzzy TOPSIS for green supplier selection of mindi wood raw materials

Ramadhanti

Pulansari²

2022

j. sist. manaj. ind.

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The current industrial development is related to increasing global action and public awareness of environmental issues with Sustainable Development Goals (SDGs). It makes the implementation of green supply chain management on Green Supplier Evaluation and Selection (GSES) more appreciated because it can affect the company's environmental performance. Companies that can improve their environmental performance will be able to increase their competitive advantage and have an impact on increasing revenue, market share, and a more positive green image of the company. Currently, there is no research about green supplier selection in the furniture industry, especially in Indonesia. So, it is necessary to research the industry because it hugely affects environmental performance. One of the companies engaged in the furniture industry is X company. They are selecting their suppliers only based on the ownership of the environmental certification of each supplier and the quality of the raw materials. Environmental criteria such as the green image in the community and environmental competency have not been considered. On the one hand, X company also wants to realize its mission of environmental sensitivity. This study aims to select the best green supplier of mindi wood raw materials by integrating fuzzy AHP and TOPSIS because these methods can make practical multicriteria decisions and obtain more valid results. The results obtained indicate that the 8th green supplier has the highest preference value of 0.777 so it is called the best alternative for mindi wood raw materials.

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Capturing the Effect of the COVID-19 Pandemic Outbreak on the Financial Performance Disparities in the Energy Sector: A Hybrid MCDM-Based Evaluation Approach

Makki

Alqahtani

2023

Economies

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The COVID-19 pandemic has impacted the financial performance of companies in different sectors. One of the most important sectors affected is the energy sector. Therefore, this research study aims to conduct a financial performance evaluation of companies in the Saudi energy sector in 2019, 2020, and 2021. This is to capture and analyze the effect on companies before, during, and post the COVID-19 pandemic, respectively. A hybrid multicriteria decision-making (MCDM) approach is followed to achieve the objective. The financial performance evaluation of energy companies is based on four financial dimensions and 11 performance indicators. Results revealed that energy companies’ efficiency and profitability were relatively the most important dimensions, followed by leverage and liquidity. Furthermore, results revealed the relative importance of the indicators from the most to the least important. Results also revealed the effect of COVID-19 on energy companies’ financial performance, demonstrating the change over the three years. Implications include providing insights for energy companies on the financial dimensions and indicators to be maintained and monitored in the case of pandemics. Furthermore, to assist decision-makers in the energy sector in developing strategies to mitigate financial performance disparities during and post-pandemics.

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An integrated AHP-TOPSIS framework for determination of leading industrial sectors

Cited by 4 publications

References 16 publications

Quality Improvement Project Selection Using Fuzzy AHP and TOPSIS to Support Lean Six Sigma at PT ABC

Quality Improvement Project Selection Using Fuzzy AHP and TOPSIS to Support Lean Six Sigma at PT ABC

Integration of fuzzy AHP and fuzzy TOPSIS for green supplier selection of mindi wood raw materials

Capturing the Effect of the COVID-19 Pandemic Outbreak on the Financial Performance Disparities in the Energy Sector: A Hybrid MCDM-Based Evaluation Approach

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