... partial least square structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to reveal both linear and configurational influences – security, pricing, shipping, information availability and product quality – providing practical insights for digital platforms...

... (DEA) deals with crisp data, which may be, often, imprecise, vague, missing or predicted. Current literature offers various approaches to addressing these uncertainties by introducing fuzzy set theory within the basic DEA framework. However, current fuzzy DEA approaches fail to handle missing data...

... (2018) Sustainability-based criteria Financial, customer, operational, information, and innovation and growth * Performance evaluation Product-service supply chain Service supply chain sustainability Oil and gas industry Factor analysis Fuzzy methods Performance management...

...Mehdi Khashei; Fatemeh Chahkoutahi Purpose The purpose of this paper is to propose an extensiveness intelligent hybrid model to short-term load electricity forecast that can simultaneously model the seasonal complicated nonlinear uncertain patterns in the data. For this purpose, a fuzzy seasonal...

... on this multilevel model, a case study approach is adopted and fuzzy logic is used to measure the CMMI level of an organization. The fuzzy performance importance index (FPII) and the ranking score are used to further analyze the attributes. Findings The proposed model has been successfully used to measure...

...Luiz Fernando do Nascimento Vieira; Igor dos Santos Caetano; Ricardo França Santos Purpose This study assesses outsourcing risks using the fuzzy analytical hierarchy process (FAHP). Design/methodology/approach This descriptive research combines both qualitative and quantitative approaches...

... chain network under an uncertain environment and different scenarios is also developed. Design/methodology/approach In this paper, we combined grey linear programming (GLP) and fuzzy set theory to present a solution approach for the problem. The proposed model first solves the given problem using...

...Masoud Amirdadi; Farzad Dehghanian Purpose In this paper, the authors aim to investigate the relationship between buyback policy and the potential number of used products that could be collected by developing a robust fuzzy reverse logistics network. Design/methodology/approach...

... and duly validated with experts’ opinions. Integrated fuzzy set theory and decision-making trial and evaluation laboratory (DEMATEL) approach are demonstrated to explore the causal relationships among influencing factors of the LSS implementation. An empirical case analysis of an Indian manufacturing...

... power in the sector. Design/methodology/approach The initial CICEs identification process is based on a literature review, while a fuzzy Delphi method (FDM) was used for the screening process of CICEs. Total interpretive structural modelling (TISM) was used to develop contextual relationships among...

.... Design/methodology/approach A total of 12 attributes are proposed based on a real-life project conducted at a firm in New York and the software selection models existed in the literature. Fuzzy technique for order of preference by similarity to ideal solution is used to assess the proposed attributes...

... necessary to compromise among possibly conflicting factors, the multiple-criteria decision-making becomes a useful approach to solve this kind of problem. Considering both tangible and intangible criteria, the aim of this paper is the presentation of a new integrated fuzzy analytic hierarchy process...

.../approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic...

...-objective mixed integer programming model is presented under resource constraints. The parameters related to outlays and net cash flows of existing and new projects are considered to be uncertain. An augmented ε-constraint (AUGMECON) method is used to solve the proposed model, and a fuzzy approach...

... hesitant fuzzy linguistic term sets to identify the key factors of supply chain resilience. At the second phase, using the system dynamic methodology, the dynamic relations among identified resilience factors are analyzed. Findings Using the Delphi method, agility, collaboration among actors, sharing...

... in Bangladesh. Design/methodology/approach A model is proposed based on a fuzzy technique for order preference using similarity to an ideal solution (fuzzy-TOPSIS) for evaluating supply chain risks. For this, 20 supply chain risk factors were identified through an extensive literature review and while...

... and fuzzy MICMAC were used for the modeling and clustering of the enablers and fuzzy analytical hierarchy process has been used for the ranking purpose. Findings Awareness about sustainability incentives, pressure from stakeholders, support from supply chain partners and demand from customer...

...Sachin K. Patil; Ravi Kant Purpose – The purpose of this article is to identify the critical success factors (CSFs) of knowledge management (KM) adoption in the supply chain (SC) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method through an empirical case study...