Grey Absolute Decision Analysis (GADA) Method for Multiple Criteria Group Decision-Making Under Uncertainty

Javed, Saad Ahmed; Mahmoudi, Amin; Liu, Sifeng

doi:10.1007/s40815-020-00827-8

Cited by 52 publications

(41 citation statements)

References 41 publications

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“…One of the purposes of the current study is addressing MCDM methods and uncertainty approaches to propose a suitable framework for the decision‐making process. Several MCDM methods have been proposed in recent decades based on different approaches include pairwise comparison‐based, distance‐based, and outranking‐based methods (Javed, Mahmoudi, & Liu, 2020; Mahmoudi, Mi, Liao, Feylizadeh, & Turskis, 2020). However, there are some obvious limitations in MCDM methods, which are shown in Figure 2 briefly.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

et al. 2020

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Due to mounting environmental and social challenges, supplier selection has become one of the most critical tasks of project‐oriented organizations. Because supplier selection can affect the long‐term success and profitability of the organizations and their projects, directly, embracing sustainability can add value in the equation. Considering sustainability measures can positively guide project managers in making better decisions for the projects in the long term. Therefore, the current study attempts to provide a conceptual model for selecting the best supplier based on a sustainability framework in megaprojects. Meanwhile, decision‐making methods can be employed as a proper tool to find the best supplier. Ordinal priority approach (OPA) is a recent development in multiple criteria decision making (MCDM), while it has many benefits compared with other methods like analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS). However, this method cannot consider multiple ranks during the decision‐making process, and using an uncertainty approach feels strongly. Grey systems theory (GST) can consider uncertainties with no need for large sample or proposing membership function. Hence, the current study employed the GST to consider multiple ranks for criteria and alternatives in the OPA method. This is the first time that a sustainable supplier selection framework has been presented for megaprojects with the aid of the Grey OPA (OPA‐G) method. Finally, a case study has been examined to evaluate the performance of the proposed approach. The results show that the proposed approach can be used in real‐world situations and it has acceptable performance under uncertainty conditions.

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Section: Introductionmentioning

confidence: 99%

“…However, there are some obvious limitations in MCDM methods, which are shown in Figure 2 briefly. If these problems are not effectively handled, other problems can arise, for example, loss of information, increasing opportunity cost, and sub‐optimal decisions (Javed et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

et al. 2020

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“…Javed et al ( 2020c ) reported incompleteness in the biofuel supply/demand datasets. Producing reliable results from insufficient, incomplete, or non-obtainable information is a challenge for almost all MADM techniques because of increasing uncertainty and complexity (Javed et al 2020b ). This challenge was widely experienced during the COVID-induced SC disruptions.…”

Section: Resultsmentioning

confidence: 99%

“…Here, it should be noted that the authors are well aware of the pedagogic debate in the multiple criteria decision-making literature, where some scholars distinguish criteria from attributes while emphasizing criteria to be a more general term for attributes (Ataei et al 2020 ; Ekel et al . 2019 ; Ploskas and Papathanasiou 2019 ) although others do not (see, e.g., Javed et al 2020b ; Mahmoudi et al 2019b ; Rezaei 2016 ), sometimes deliberately (Guo and Zhao 2017 ). Nevertheless, the current study recognizes MADM as discrete MCDM, i.e., a form of MCDM involving discrete (non-continuous) decision variables (Guo and Zhao 2017 ), and identifies attributes as the characteristics, qualities, or performance parameters of alternatives (Ekel et al .…”

Section: Preliminaries Of Opa-fmentioning

confidence: 99%

“…Researchers have proposed various kinds of methodologies for multiple attribute decision-making under uncertainty; nevertheless, they are not free from shortcomings for various reasons. For instance, Javed, Mahmoudi and Liu ( 2020b ) have identified five causes of uncertainty in multiple attribute decision-making processes; (1) Uncertainty because of human error, (2) Uncertainty surrounding data collection instrument and methodology, (3) Uncertainty surrounding the collected data, (4) Uncertainty surrounding data analysis tool and methodology, and (5) Uncertainty surrounding the interpretation of results. If one looks at all existing MADM methods, there is hardly any single approach that can effectively minimize the effect of these uncertainties on the final output of the MADM techniques.…”

Section: Introductionmentioning

confidence: 99%

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Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era

2021

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Because of the COVID-19 outbreak, the supply of both essential and non-essential goods and services has been unprecedentedly disrupted. In the absence of any playbook, the need for innovative technologies to aid recovery from the Supply Chain (SC) disruptions quickly and effectively becomes persistent. The study aims to develop an innovative decision-making technology to handle the supplier selection problems arising from the frequent impreciseness and incompleteness in the nowadays' SC reports within the framework of the gresilient supply chain management. Through the integration of green and resilience aspects of the SCs, the supply chain 'gresilience' has been conceptualized. In light of this construct and based on the data collected from a manufacturing firm, the study deploys a two-fold decomposition of the core algorithm of the Ordinal Priority Approach (OPA), one for attributes and other for alternatives. It extends the OPA to the Fuzzy OPA (OPA-F) for solving the supplier selection problems. The study illustrates how green and resilience aspects of the SC can be integrated to better understand the gresilient suppliers in the wake of the SC disruptions. A novel construct of SC Gresilience is also furnished along with a novel definition of SC Gresilience. It also provides an innovative SC decision-making technology to help procurement managers to evaluate their suppliers. The resultant framework can help them better prepare for the COVID-19 like disruptions in the future.

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