Application of distinct multi criteria decision analysis techniques in the manufacturing sector: A comprehensive review

Mazumdar, Nilanjan; Sharma, Jai Kumar; Shavkatovich, Shavkatov Navruzbek; Uike, Dipesh; Kadam, Sanjeev; Verma, Mrinal; Alam, Mohammed Jaber; Sharma, Abhay; Thakur, Abhishek; Ansari, Mohammed Saleh Al

doi:10.1016/j.matpr.2023.01.244

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…Rating evaluation and expert opinions [62] Te authors conducted literature survey of various optimization techniques to select the best alternative among various alternatives such as selection of supplier, selection of best raw material, and optimization of machining parameters under various criteria…”

Section: Referencementioning

confidence: 99%

Evaluating a Sustainable Intelligent Logistic System (ILS) Utilizing O-S Data and Holistic Managerial Models

Liu,

Rao,

Yogi

et al. 2023

Journal of Advanced Transportation

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The intelligent logistic system (ILS) has benefited Industry 4.0. ILS assures clean, on-time manufacturing. Due to its unique architectures, qualities, and sensory aspects, the robot logistic system (RLS) is sought after as an ILS in Industry 4.0. In case of COVID-19, multiple nations routinely used RLS as ILS to cleanse areas, check patients, and monitor crowds on highways. Research documents (RDs) show that prior researchers attempted to build the static robot logistic system (RLS) performance mapping index; however, most indexes measured only anatomy performance of static RLS. Thus, few RDs are edited previously in the context of MRLS. It is sensed that few RDs examined MRLS-linked performance mapping indexes, including only regular subjective (S) or objective (O) designs, excluding mixed S-O architectures. Most RDs constantly execute the linguistic variables related to fuzzy, grey, rough, ambiguous, and intuitionistic sets/scales to tackle the uncertainty connected with MRLS designs. The authors prioritize those as RGs. The authors proposed (1) an MRLS performance mapping index with respect to technical, cost, and value O-S architectures for recruiting MRLS, (2) linear information to assign ratings in a range of min-max values choosing from 1 to 100% without executing the linguistic scale, and (3) Holistic Managerial Models (HMM-1 and HMM-2) to handle subjective ratings and significance, assigned by Ex against evaluated O-S architectures under linear scale (1–100%). To prove the concept, RLS performance mapping is shown. Only MRLS recruitment and selection are covered. The effort helps CIM, FMS, and WCMS create sustainable, cleaner operations and achieve future goals.

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Section: Referencementioning

confidence: 99%

Evaluating a Sustainable Intelligent Logistic System (ILS) Utilizing O-S Data and Holistic Managerial Models

Liu,

Rao,

Yogi

et al. 2023

Journal of Advanced Transportation

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Bibliometric Analysis of Multi-Criteria Decision-Making (MCDM) Methods in Environmental and Energy Engineering Using CiteSpace Software: Identification of Key Research Trends and Patterns of International Cooperation

Kut,

Pietrucha-Urbanik

2024

Energies

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In the context of sustainable development and global challenges such as climate change and energy security, this paper conducts a bibliometric analysis of scientific journals on multi-criteria decision-making (MCDM) methods with an emphasis on their applications in environmental and energy engineering. The study used the CiteSpace software program 6.2.R6 Advanced to analyze citation networks and identify key publications, authors, and research topics. The simulations carried out made it possible to identify the main research centers and patterns of international cooperation, pointing to the key countries and institutions involved in MCDM research. The results of the analysis reveal the research areas of greatest interest and the main directions for future research. These results can support scientists, researchers, and policymakers in making more informed and sustainable decisions, contributing to the achievement of the Sustainable Development Goals.

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Application of distinct multi criteria decision analysis techniques in the manufacturing sector: A comprehensive review

Cited by 2 publications

References 41 publications

Evaluating a Sustainable Intelligent Logistic System (ILS) Utilizing O-S Data and Holistic Managerial Models

Evaluating a Sustainable Intelligent Logistic System (ILS) Utilizing O-S Data and Holistic Managerial Models

Bibliometric Analysis of Multi-Criteria Decision-Making (MCDM) Methods in Environmental and Energy Engineering Using CiteSpace Software: Identification of Key Research Trends and Patterns of International Cooperation

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