“…"Globalization has forced companies to pay more attention to three main dimensions of sustainability such as financial, eco-friendly, and social under the name of the triple bottom line (TBL) across their SCM (Cloutier et al, 2020)". Considering TBL in SCM provides organizations with numerous advantages such as enhanced production quality, decreased manufacture costs, decreased investment risk, and enhanced employee motivation (Kabadurmus & Erdogan, 2020;Shibin et al, 2020). Although sustainable SCM (SSCM) has addressed substantially over the last decade, the impact of sustainability interruptions on the whole resilience of the SSCM has not fully explored to date.…”
In era of reglobalization, sustainably resilient supply chains (SCs) are imperative in corporations to improve performance and meet stockholders’ expectations. However, sustainably resilient SCs could not be effective if are not assessed by using advanced frameworks, systems, and models. As such, developing a novel network data envelopment model (DEA) to appraise sustainably resilient SCs is our purpose in this article. To do so, we present a new double-frontier methodology to provide optimistic and pessimistic efficiency measures in network structures. Moreover, ideas of outputs weak disposability, chance-constrained programming, and discrete dominance are incorporated in a unified framework of modelling efficient and inefficient production technologies. The new network DEA model also can address dissimilar types of data, including undesirable and integer-valued and ratio outputs, stochastic intermediate products, and integer-valued inputs in a unified framework. Furthermore, an aggregated Farrell type efficiency measure is developed which allows to provide the complete ranking of units so that each decision-making unit (DMU) has its own rank in both overall and divisional point of view. We show the unique features of our developed model using a real case study in paint industry to evaluate the efficiency and reducing carbon dioxide (CO2) emissions. The results show that how well the proposed models can evaluate the sustainability and resilience of supply chains in the presence of uncertainty and with dissimilar types of data.
“…"Globalization has forced companies to pay more attention to three main dimensions of sustainability such as financial, eco-friendly, and social under the name of the triple bottom line (TBL) across their SCM (Cloutier et al, 2020)". Considering TBL in SCM provides organizations with numerous advantages such as enhanced production quality, decreased manufacture costs, decreased investment risk, and enhanced employee motivation (Kabadurmus & Erdogan, 2020;Shibin et al, 2020). Although sustainable SCM (SSCM) has addressed substantially over the last decade, the impact of sustainability interruptions on the whole resilience of the SSCM has not fully explored to date.…”
In era of reglobalization, sustainably resilient supply chains (SCs) are imperative in corporations to improve performance and meet stockholders’ expectations. However, sustainably resilient SCs could not be effective if are not assessed by using advanced frameworks, systems, and models. As such, developing a novel network data envelopment model (DEA) to appraise sustainably resilient SCs is our purpose in this article. To do so, we present a new double-frontier methodology to provide optimistic and pessimistic efficiency measures in network structures. Moreover, ideas of outputs weak disposability, chance-constrained programming, and discrete dominance are incorporated in a unified framework of modelling efficient and inefficient production technologies. The new network DEA model also can address dissimilar types of data, including undesirable and integer-valued and ratio outputs, stochastic intermediate products, and integer-valued inputs in a unified framework. Furthermore, an aggregated Farrell type efficiency measure is developed which allows to provide the complete ranking of units so that each decision-making unit (DMU) has its own rank in both overall and divisional point of view. We show the unique features of our developed model using a real case study in paint industry to evaluate the efficiency and reducing carbon dioxide (CO2) emissions. The results show that how well the proposed models can evaluate the sustainability and resilience of supply chains in the presence of uncertainty and with dissimilar types of data.
“…In terms of social criteria, the social costs of carbon emissions, the economic impact of road transport (noise, congestion, and accidents), and the cost of the externalities in the rail transport are studied in [59]; the social cost of opening a renewable energy generation unit is studied in [64]. In several articles, environmental aspects are included as a cost criteria [52,[57][58][59][60]64,65,73,86,91,95].…”
Section: Sustainabilitymentioning
confidence: 99%
“…Modeling Approach [60] Robust Programming [90] Robust Mixed Integer Linear Programming (ROMILP) [55] Mixed Integer Linear Programming (MILP) [91] Mixed Integer Linear Programming (MILP) [92] Mixed Integer Linear Programming (MILP) [93] Mixed Integer Non-Linear Programming (MINLP) [67] Mixed Integer Linear Programming (MILP) [94] Mixed Integer Linear Programming (MILP) [95] Mixed Integer Non-Linear Programming (MINLP) [68] Mixed Integer Linear Programming (MILP) [96] Stochastic Mixed-Integer Programming [97] Robust Programming [98] Mixed Integer Linear Programming (MILP) Table 7. Modeling approach and objective-Part b.…”
Section: Authorsmentioning
confidence: 99%
“…In terms of sustainability in the design of networks, the economic dimension has the property of containing the other two. This is achieved through specific environmental [49,52,57,58,64,73,86,90,91,95] and social costs [59,64]. In this sense, sustainability can be approached holistically without the need for direct impact measurements.…”
Nowadays, Supply Chain Networks (SCNs) must respond to economic, environmental, social, and uncertain considerations. Thus, sustainable and resilience criteria need to be incorporated as key criteria into the Supply Chain Network Design (SCND). This paper, as part of an emerging subject, reviews the literature between 2010 and 2021 that integrates sustainability and resilience on the SCND. The article classifies the literature according to the levels of the SCND, levels of the decision-making (i.e., strategic, tactical, and operational), resilience and sustainability criteria, solving approach, objective criteria, contributions to the Sustainable Development Goals (SDGs), and real-world applications. The main findings allow us to conclude that the decisions regarding the supply chain network design with sustainability and resilience criteria are mainly strategic, focusing on the forward flow. Most works address resilience through the evaluation of scenarios (risk assessment perspective), and in terms of the sustainability perspective, authors mainly focus on the economic dimension through the evaluation of income and costs along the chain. Based on the review and the proposed taxonomy, the paper proposes ideas for future research.
“…In today's linked global economy, the necessity for inter-organizational communication is critical [12]. Companies have been pushed to build their SCs to account not only cost but also other variables as a result of emerging concerns and new challenges brought on by globalization [13]. Investors, customers, and governments are all looking for products and processes that are more environmentally friendly, and certifications that back up these claims are becoming increasingly common.…”
In recent years, traceability systems have been developed as practical tools for improving supply chain (SC) transparency and visibility, especially in health and safety-sensitive sectors like food and pharmaceuticals. Blockchain-related SC traceability research has received significant attention during the last several years, and arguably blockchain is currently the most promising technology for providing traceability-related services in SC networks. This paper provides a systematic literature review of the various technical implementation aspects of blockchain-enabled SC traceability systems. We apply different drivers for classifying the selected literature, such as (a) the various domains of the available blockchain-enabled SC traceability systems and relevant methodologies applied; (b) the implementation maturity of these traceability systems along with technical implementation details; and (c) the sustainability perspective (economic, environmental, social) prevalent to these implementations. We provide key takeaways regarding the open issues and challenges of current blockchain traceability implementations and fruitful future research areas. Despite the significant volume and plethora of blockchain-enabled SC traceability systems, academia has so far focused on unstructured experimentation of blockchain-associated SC traceability solutions, and there is a clear need for developing and testing real-life traceability solutions, especially taking into account feasibility and cost-related SC aspects.
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