A Goal Programming Model for BWM

Amiri, Maghsoud; Emamat, Mir Seyed Mohammad Mohsen

doi:10.15388/20-infor389

Cited by 17 publications

(8 citation statements)

References 47 publications

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“…Besides all its merits, in some cases, the BWM may result in multi-optimality solutions (Rezaei et al 2016 ; Amiri and Emamat 2020 ), which may not be desirable for decision-makers. In this regard, Amiri and Emamat ( 2020 ) developed a goal programming model for the BWM method that guaranteed a unique optimal solution. Nevertheless, their model is completely a deterministic method that cannot consider the uncertainties.…”

Section: Methodsmentioning

confidence: 99%

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

et al. 2022

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Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, resiliency, sustainability, and digitalization aspects into the post-pandemic supply chain, has been introduced by researchers. However, the literature shows that there is lack of study that investigated the viable supplier selection problem, as one of the crucial branches of viable supply chain management. Therefore, to cover this gap, the current work aims to develop a decision-making framework to investigated the viable supplier selection problem. In this regard, owing to the crucial role of the oxygen concentrator device during the COVID-19 outbreak, this research selects the mentioned product as a case study. After determining the indicators and alternatives of the research problem, a novel method named goal programming-based fuzzy best–worst method (GP-FBWM) is proposed to compute the indicators’ weights. Then, the potential alternatives are prioritized employing the Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje method. In general, the main contributions and novelties of the present research are to incorporate the elements of the viability concepts in the supplier selection problem for the medical devices industry and to develop an efficient method GP-FBWM to measure the importance of the criteria. Then, the developed method is implemented and the obtained results are analyzed. Finally, managerial and theoretical implications are provided. Supplementary Information The online version contains supplementary material available at 10.1007/s00500-022-07572-0.

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Section: Methodsmentioning

confidence: 99%

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

et al. 2022

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“…In this study, recently developed linear goal programming model for best-worst method (LGPMBWM) [40] is employed for weight calculation which involves the selection of best (most important criterion) and worst factor (least important criterion) and their comparison with other criteria on the basis of comparison scale from 1 to 9. Thus, this comparison leads to the formation of two pairwise comparison vector i.e.…”

Section: Linear Goal Programming Model For Best Worst Methods (Lgpmbwm)mentioning

confidence: 99%

“…The LGPMBWM has fewer constraints in comparison with the BWM, which results in improved computational solution and reducing the complexity in original BWM. Further, detail of this method can be found in work done by its developer [40]. However, it is necessary to provide the steps of this method for visualizing the clear picture behind its use in present research.…”

Section: Linear Goal Programming Model For Best Worst Methods (Lgpmbwm)mentioning

confidence: 99%

A New Hybrid LGPMBWM-PIV Method for Automotive Material Selection

Wakeel

Bingöl

Ahmad

et al. 2021

IJCAI

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Efforts are continuously being made by researchers to improve fuel efficiency and to reduce CO2 emissions from the passenger cars. To achieve these goal, recent trend is to make the cars components light in weight for which manufacturing car roofs using natural fiber reinforced composites (NFCs) is one of the method. Several natural fibers (NFs)are available as alternative reinforcements for the fabrication of NFCs. Different NFs possess different properties and therefore, it is necessary to select the most appropriate natural fiber for fabrication of the composites which in turn will lead to the desired performance of the vehicle. Selection of the optimal natural fiber, amongst the several alternatives, is basically a multi criteria decision making (MCDM) problem as selection is based on the evaluation of several conflicting criteria. In this study, twelve alternative natural fibers (Flax,

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“…In this study, recently developed linear GPMBWM 30 is employed for weight calculation. This involves the selection of best (most important criterion) and worst factor (least important criterion) and their comparison with other criteria on the basis of comparison scale from one to nine.…”

Section: Methodsmentioning

confidence: 99%

Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid Goal Programming Model for Best Worst Method–Proximity Indexed Value method

Wakeel

Bingöl

Bashir³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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Selection of the most suitable sustainable material to fulfill the requirements of a product in a specific application is a complex task. Material selection problems are basically multi-criteria decision making problems as selection of the optimal material is based on the evaluation of conflicting criteria. Considering the limitations such as ranking reversal problem of the various multi-criteria decision making methods available in the literature, a combination of two recently developed techniques, i.e. the Goal Programming Model for Best Worst Method and Proximity Indexed Value method, is employed in the present study. This hybrid method was used for selection of the best possible material for manufacturing of a complex automobile part for which F1 race car as advanced automotive and its gearbox casing as sensitive part was used. Available alternative materials considered in the present study are alloys of aluminum, magnesium, titanium, and carbon fiber/epoxy laminate. Whereas, criteria affecting gearbox casing’s performance are tensile strength/density, cost, stiffness, damping capacity, thermal conductivity, and sustainable criteria, such as CO2 emission and recycling energy. Goal Programming Model for Best Worst Method is used to determine weights of the criteria and Proximity Indexed Value method is employed for final selection of material. Furthermore, ranking of alternatives was also supported by other multi-criteria decision making methods namely, range of value, weighted product model, simple additive weighting, the technique for order of preference by similarity to ideal solution, a combined compromise solution, and the multi-attributive border approximation area comparison. Membership degree method was also employed to obtain the final optimal ranking of alternative materials from individual results of applied multi-criteria decision making methods. Besides, sensitivity analysis is done to validate reliability of the results and to determine the most critical evaluation criterion. The result of this study revealed that carbon fiber/epoxy laminate is the best alternative material.

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A Goal Programming Model for BWM

Cited by 17 publications

References 47 publications

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

A New Hybrid LGPMBWM-PIV Method for Automotive Material Selection

Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid Goal Programming Model for Best Worst Method–Proximity Indexed Value method

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