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Currently, the use of logistics service providers in companies has become a decision chosen by several companies. Companies use Third Party Logistics (3PL) to focus more on other essential activities in the company. Evaluating the performance of a 3PL provider is an essential process in determining performance of a 3PL provider. A wrong evaluation...
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... the useless criteria were C3 and C8. Table 7 pictures the results of the positive and negative ideal solutions for each provider. For a positive ideal solution, it was obtained from the sum of the decision weights in the useful criteria, while for the negative ideal solution, it was obtained from the sum of the decision weights on the useless criteria for each provider. ...Citations
... 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. ...
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.
... There are numerous examples of rough numbers being used in the development of multi-criteria techniques that use the rough SWARA alone [64][65][66] or in integration with other MCDM methods: SWARA-TODIM [67], SWARA-COPRAS [68,69], SWARA-WASPAS [70], SWARA-ARAS [71], and SWARA-PSI -IOCRA [72]. In this study, a novel method for using IRNs in a category of decision-making is developed, which is shown in Fig. 2 as the integrated IR-SWARA-IR CoCoSo. ...
The long-term sustainability of the railway transportation system is determined by a set of criteria that must be considered. For this reason, multi-criteria decision-making (MCDM) techniques have been used because of their high possibility of providing complementary instruments with successful flexibility. Keeping this in mind, we developed a multi-criteria method to conduct an assessment of currently operational railway systems in West Africa for sustainable transportation based on the examination of key challenges affecting the railway system. This study presents the interval rough step-wise weight assessment ratio analysis-combined compromise solution (IR-SWARA-CoCoSo) model. We have adapted the model to group decision-making by incorporating a new technique for dealing with ambiguity and the utilization of interval rough numbers (IRNs). To evaluate the importance coefficients of criteria in the group decision-making procedure, a new interval rough SWARA method has been introduced as an improvement to handle the issues related to MCDM. For the evaluation of the railway transportation system for sustainable transportation, a novel interval rough CoCoSo method was used. According to the findings, information systems is the most critical challenge to the railway transportation system, while the railway system in Nigeria is the best among others. The results were validated in two stages of sensitivity analysis: a comparison with different interval rough approaches, and the calculation of Spearman's correlation coefficient and WS coefficient for all ranks in the comparative analysis.
... Cold chain-related 3PLSP were studied to prevent food losses [62]. An integration of rough step-wise weight assessment ratio analysis (SWARA) and COPRAS was applied for the performance evaluation of 3PL for a company dealing in animal feed in Indonesia [63]. They considered sixteen criteria for the selection of four 3PLSP. ...
Third-party logistics (3PL) service providers are crucial to achieving sustainability in supply chain management (SCM). Third-party logistics service providers (3PLSP) are identified in such a way that they can help a firm fulfill its targeted objectives. The choice of 3PLSP must take into account broad selection criteria that are pertinent to both current and future needs. Various modelling techniques have been applied to evaluate and select 3PLSP. For the evaluation and selection of 3PLSP in the given set of situational requirements, a set of different selection criteria has been set up. This paper screens 191 articles from the Scopus database and finds 132 articles spread over two decades from 2001 to 2022 (30 July 2022). The 132 filtered articles are further assessed using bibliometric analysis, qualitatively and quantitatively. The identified research articles are studied and analyzed according to different bibliometric parameters, using MS Excel, VOSviewer version 1.6.17, and Biblioshiny 4.0. It has been found that the top five countries engaged in research are India (36%), Turkey (13%), Taiwan (12%), China (11%), and the USA (10%). The top three journals with the most research publications were International Journal of Logistics Systems and Management, Benchmarking, and Expert Systems with Applications. The three research methodologies most often used to solve 3PL selection problems were fuzzy-based, AHP, and TOPSIS. Numerous studies of theoretical models have applications in real-world situations. The developed selection models have high applicability in the automobile industry, agricultural industries, marine products, etc.
... In the combined approach, weights of attributes were determined by the SWARA method, and the ranking order of bioenergy production technology alternatives was decided by the COPRAS method using IFSs. Rosiana et al. [51] enhanced the Rough method SWARA and the COPRAS to assess the performance of third-party logistics providers. Ansari et al. [52] employed a MADM framework using fuzzy SWARA and fuzzy COPRAS to analyze the risks and the solutions to mitigate sustainable remanufacturing supply chain. ...
In the study of group decision-making, the most important issue is how to coordinate opinions from different decision experts (DEs) to reach a consensus under uncertainty. To tackle uncertainties surrounding multi-attribute group decision-making (MAGDM) problems in real-life scenes, we introduce 2-tuple linguistic T-spherical fuzzy sets (2TLT-SFSs) which generalize T-spherical fuzzy sets by means of 2-tuple linguistic terms. The 2TLT-SFS model enables the degrees of membership, abstention, and non-membership to be expressed by linguistic terms. This makes it more flexible and descriptive to model the attitudes of DEs in MAGDM applications. Due to the fact that multi-input arguments are interconnected and DEs have a lot of options perception, we also define Muirhead mean (MM) aggregation operators (AOs) to facilitate the fusion of 2TLT-SF information. With the aid of 2TLT-SFSs and MM AOs, the main goal of this research is to present a general MAGDM framework by integrating the step-wise weight assessment ratio analysis (SWARA) with the complex proportional assessment (COPRAS). Firstly, the MM, weighted MM, dual MM, and weighted dual MM operators are adapted to the 2TLT-SF environment, which put forward several new notions such as the 2-tuple linguistic T-spherical fuzzy Muirhead mean (2TLT-SFMM), 2-tuple linguistic T-spherical fuzzy weighted Muirhead mean (2TLT-SFWMM), 2-tuple linguistic T-spherical fuzzy dual Muirhead mean (2TLT-SFDMM), and 2-tuple linguistic T-spherical fuzzy weighted dual Muirhead mean (2TLT-SFWDMM) operators. Meanwhile, some properties regarding idempotency, monotonicity, boundedness, and specializations of the proposed operators are analyzed. Secondly, an integrated 2TLT-SF-MAGDM framework is established. In the proposed decision framework, the 2TLT-SF-SWARA method is utilized to identify the subjective weights of decision attributes, and the 2TLT-SF-COPRAS approach is used to rank alternatives. Lastly, a case study concerning hydropower plants assessment is presented to demonstrate that the suggested scheme is feasible and effective. Furthermore, sensitivity and comparison analyses are conducted to show the robustness and superiority of the proposed method.
... 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. ...
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 CO 2 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.
... 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. ...
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 CO 2 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.
