Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach

Ramezankhani, M.J.; Torabi, S. Ali; Vahidi, Fereshteh

doi:10.1016/j.cie.2018.09.054

Cited by 146 publications

(91 citation statements)

References 52 publications

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“…-combinations of lean, agile and digital for increasingly data-driven market responsiveness (Dubey et al 2018, Zhong et al 2017 implemented as, e.g., modular storage capacity (e.g., smart lockers) and leagile production capacity (e.g., 3D printers); -efficient and resilient supply chains (so called LCNlow-certainty-need SCs) with the advantages of both lean and risk-resistant/recoverable SCs (Ivanov and Dolgui 2019); -combinations of sustainable and resilient (Amindoust 2018, Ivanov 2018a, Fiksel 2003, Ramezankhani et al 2018); -digital technology for sustainability (Papadopoulos et al 2017, Manupati et al 2020; -combinations of digital and resilient to support the data-driven decision-making support (Cavalcantea et Distinctively, we aim to go beyond the existing knowledge and to predict proactively the promising directions in future research on RSC. Although digitalization, resilience, sustainability and leagility have evolved from emergent topics to major determinants in the SC management and research, attention has been yet mostly focused towards their individual contributions to the firm's profitability and competitiveness.…”

Section: In Our Understanding a Reconfigurable Sc (Rsc) Is A Networkmentioning

confidence: 99%

Reconfigurable supply chain: the X-network

Dolgui

Ivanov

Sokolov

2020

International Journal of Production Research

319

150

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The research on supply chain (SC) digitalization, resilience, sustainability and leagility has remarkably progressed, most of it focused on the individual contributions of these four major determinants to the firm's profitability and competitiveness. Though, there appears to be a lack of conceptual guidance surrounding their roles and interplays as an integrity. We hypothesize that such an integrity frames a new kind of SC networks, or even a new understanding of the SCs. We theorize a new notion-a Reconfigurable SC or the X-networkthat exhibits some crucial design and control characteristics for complex value-adding systems in highly vulnerable environments. Utilizing abductive approach and a systematic bibliometric co-occurrence analysis of 1383 articles along with tertiary studies, we review and investigate contextual factors of designing the X-networks. We propose respective frameworks and discuss the implementation principles and technologies at the macro and micro levels. Two novel conceptsdynamic SC metastructures and dynamic autonomous servicesare introduced and formalized. Distinctively, we go beyond the existing knowledge to predict proactively the future directions in the reconfigurable SCs. Alike our results can be of value for decision-makers to decipher systematically the chances and barriers in contemporary SC transformations.

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Section: In Our Understanding a Reconfigurable Sc (Rsc) Is A Networkmentioning

confidence: 99%

Reconfigurable supply chain: the X-network

Dolgui

Ivanov

Sokolov

2020

International Journal of Production Research

319

150

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“…The causal diagram portrays a clear causal relationship and the degree of influence among the criteria. Recently, several studies have employed the DEMATEL method in various problems, such as those regarding cloud service selection [3], business intelligence [4], health technology assessment [5], the performance of a manufacturing company [6], supply chain [7,8], coastal erosion [9], and the auto components manufacturing sector [10].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

2019

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The recent boom of various integrated decision-making methods has attracted many researchers to the field. The recent integrated Analytic Network Process and Decision Making Trial and Evaluation Laboratory (ANP–DEMATEL) methods were developed based on crisp numbers and fuzzy numbers. However, these numbers are incapable of dealing with the indeterminant and inconsistent information that exists in real-life problems. This paper proposes improvements to the integrated ANP–DEMATEL method by bringing together the neutrosophic numbers, the ANP method, and the DEMATEL method, which are later abbreviated to NS-DANP. The proposed NS-DANP method can handle the indeterminacy elements in the decision-making environment, as the single-valued neutrosophic numbers are used in the decision analysis. This proposed NS-DANP modification method includes linguistic variables representing the single-valued neutrosophic numbers (SVNNs), and also introduces the single-valued neutrosophic weighted averaging (SVNWA) aggregation operator to aggregate the decision makers’ judgments instead of the typical averaging method. The applicability of the proposed method is illustrated by a case study of the coastal erosion problem along the Peninsular Malaysia coastline, where 12 factors were considered. Three experts of coastal erosion from different organizations were invited to elicit their linguistic judgments on the cause–effect of the coastal erosion. The seven-step decision approach was developed to acquire the weightage of each coastal erosion factor. The outcome of this study reveals that coastal development is the riskiest factor toward coastal erosion. The weight of factors and the cause–effect diagram could be very helpful for government and stakeholders to project a better mitigation plan for the coastal erosion problem. Comparative analysis is also provided to check the feasibility of the proposed method.

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“…;Wilson (2007);Cutter et al (2008); Ponomarovand Holcomb (2009);Das, (2015);Liu et al (2016);Rajesh (2016);Chen et al (2017);Macdonald, Zobel, Melnyk, and Griffis (2018);Ramezankhani, Torabi, and Vahidi (2018) 3Customer service level Sheffiand Rice(2005); Datta et al (2007);LodreeandTaskin (2008); Wilson (2007); Spiegler et al (2012); Cardoso et al (2015); Manning and Soon (2016); Rajesh (2016) 4 Minimum total Cost Ratick, Mecham, and Aoyama (2008); Carvalho et al (2012); Macdonald and Corsi (2013); Cardoso et al (2015); Das (2015); Liu et al (2016); Manning and Soon ((2004); Jüttner andMaklan (2011); Brandon-Jones et al (2014); Soni et al (2014); Fiksel et al (2015); Chowdhury and Quaddus (2016); Rajesh (2016) 7 Inventory gap Tomlin (2006); LodreeandTaskin (2008); Wilson (2007); Spiegler et al (2012); Das (2015) Kamalahmadi and Parast (2016); Sodhiand Lee (2007) 8 Maximum on-time deliveries Schmitt and Singh (2012); Spiegleret al (2012); Chowdhury and Quaddus (2016); KamalahmadiandParast (2016); Manning and Soon (2016); Spiegler, Potter, Naim, and Towill (2016) 9 Supply flexibility Tang and Tomlin (2008); Skipper and Hanna (2009); Soni et al (2014); Das, (2015Cabral et al (2012); Carvalho et al (2012); Spiegler et al (2012); Chowdhury and Quaddus (2016); Ramezankhani et al (2018) 14 Transportation flexibility Glickman and White (2006); Ishfaq (2012); Azadehet al (2014); Fiksel et al (2015)15 Redundancy rateChristopher and Lee (2004); Ponomarovand Holcomb(2009); Spiegleret al (2012); Ivanov et al (2014); Rajesh (2016) 16 Risk-sharing rate Soni et al (2014); Fiksel et al (2015); Chowdhury and Quaddus (2016for preparation that exceeds demand (holding cost) Lodree andTaskin(2008)28Per unit cost for preparation that falls short of demand (shortage cost) LodreeandTaskin (2008);Namdar et al (2018) …”

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confidence: 99%

Managing supply chain resilience to pursue business and environmental strategies

et al. 2019

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Resilience has become a crucial topic in the field of strategic management as it requires companies to design resilient business models to tackle managerial and environmental disruptions of individual firms and supply chains. However, extant research still lacks deep insights into how companies design and manage supply chains according to the resilience principles. With this premise, this paper aims at conducting a state of the art review on supply chain resilience (SCR) considering 125 relevant papers collected from Scopus and Web of Science academic search engine. Starting from the results of the literature review, this study proposes a systemic framework of SCR assessment and contributes to improve the understanding of the impact of different empirically tested constructs on the development of the resilience concept. Further, the findings are summarized in several areas including barriers in developing resilience, metrics to measure the resilience performance, and effective strategies to foster the SCR. Finally, this study outlines promising future research directions for scholars and practitioners.

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Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach

Cited by 146 publications

References 52 publications

Reconfigurable supply chain: the X-network

Reconfigurable supply chain: the X-network

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

Managing supply chain resilience to pursue business and environmental strategies

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