Integration of Rough SWARA and COPRAS in the Performance Evaluation of Third-Party Logistics Providers

Rosiana, Elya; Garside, Annisa Kesy; Amallynda, Ikhlasul

doi:10.22219/jtiumm.vol22.no1.31-42

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…The Stepwise Weight Assessment Ratio Analysis (SWARA) method can be used to solve various problems, including disagreements, architectural selection problems, machine selection problems, staff selection problems, corporate social responsibility (CSR) issues, and sustainability options (Keršuliene et al, 2010). Rosiana et al, (2021) succeeded in integrating Rough SWARA and COPRAS in evaluation of Third Party Logistics provider performance.…”

Section: Analyze Phasementioning

confidence: 99%

Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects

Pragastio,

Garside,

Saputro

2023

JITI

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Along with the increasingly tight competition, companies are required to always be consistent in improving the quality of its products. Improvement of product quality can be achieved through minimization or even reduction of product defects. This study aims to minimize defects by providing improvement suggestions based on critical failure modes The Six Sigma approach is adopted to reduce the occurrence of product defects. The FMEA-FSWARA-FWASPAS FMEA method is integrated in the six sigma approach, especially to determine the priority of failure modes and the recommended efforts to minimize failure modes that trigger product defects. FSWARA is used to determine severity, occurrence, and detection weights as failure mode assessment criteria. Meanwhile, determination of the critical failure mode is based on the results of the evaluation using FWASPAS. This research is based on a case study in which 5 types of defects were found, namely, skewness, underfilling, leaks, broken lids, and broken boxes. The main causes lie in the human factor and the machine factor. The results showed that there were 3 critical failure modes, namely, the wrong setting of the cutter timer by the operator, the frequent change in the heater temperature, and material getting damaged

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Section: Analyze Phasementioning

confidence: 99%

Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects

Pragastio,

Garside,

Saputro

2023

JITI

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show abstract

“…The SWARA and COPRAS methods are effective with a small sample composed of experts. For example, Rosiana et al (2021) applied SWARA and COPRAS in a case study with a sample of three DMs, and Yücenur (2020) adopted the SWARA and COPRAS method with a sample of four experts. Experts were chosen who have more than ten years of experience in AM technologies.…”

Section: Application Of the Stepwise Weight Assessment Ratio Analysis...mentioning

confidence: 99%

Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Chandra

Shahab

Vimal

et al. 2022

RPJ

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Purpose In the present scenario, the demand for additive manufacturing (AM) has increased. Taking into account environmental problems and sustainability, manufacturers are now also considering the environmental and sustainability criteria in their decision-making process. The sustainability concept is known as the triple-bottom line, namely, economic, social and environmental perspectives. Sustainable concept selection in the manufacturing organisation can be considered as the selection of sustainable material, product design, process, method and technology. This study aims to select an appropriate AM process by considering sustainability from various available techniques. Design/methodology/approach Appropriate sustainable performance indicators for the AM were identified based on literature as well as in discussion with experts and decision-makers. The model addresses all the major dimensions of sustainable concepts of AM such as material/product quality, machine performance, market stability, total cost and ecological values. A hybrid multi-criteria decision-making approach, i.e. stepwise weight assessment ratio analysis and complex proportional assessment methods, have been used to select the best AM technique. While selecting criteria affecting AM machines and processes, criteria based on the sustainable concept are considered. Findings Among the four selected AM processes, i.e. fused diffusion modelling (FDM), laminated object manufacturing (LOM), stereolithography apparatus (SLA) and selective laser sintering (SLS), the best alternative was found to be FDM. Research limitations/implications The present study highlights some limitations in the selection of AM process and methodology used in this research. This study considers only four AM processes, i.e. FDM, LOM, SLA and SLS. Future work may include considering other AM processes and criteria that affect the sustainability of AM. Practical implications The present work will help researchers and production managers to decide the best AM alternatives to fabricate desired parts. Hence, AM can help in maximum energy utilisation, optimal consumption of resources, minimum material wastage and reduction of CO2 emission. Originality/value The study considers some important criteria, including energy consumption, eco-friendly and wastage-free production, that help sustainable AM. This study can result in a good economic efficiency of AM industries and, therefore, positively impact customers using green products.

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Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS

et al. 2022

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Integration of Rough SWARA and COPRAS in the Performance Evaluation of Third-Party Logistics Providers

Cited by 5 publications

References 15 publications

Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects

Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects

Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS

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