Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

Raut, Rakesh D.; Mangla, Sachin Kumar; Narwane, Vaibhav S.; Dora, Manoj; Liu, Mengqi

doi:10.1016/j.tre.2020.102170

Cited by 169 publications

(94 citation statements)

References 113 publications

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“…sustainability Based on the TBL a philosophy & postponement strategy or delayed differentiation (Sridhar & Jones, 2013). Product variety lean Low Raut et al, 2021). agility…”

Section: Research Methods and Data Analysismentioning

confidence: 99%

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The integration of LARG supply chain paradigms and supply chain sustainable performance (A case study of Iran)

Anvari¹

2021

Production & Manufacturing Research

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This research aims to conduct whether the lean, agile, resilience, green and sustainable paradigms are applied and combined in the actual environment (Petrochemical Industries) of Supply Chain Management (SCM). A structured literature review of theoretical foundations of manufacturing paradigms in SCM was carried out to achieve this aim. Then the conceptual model is extracted from reviewing theoretical research foundations and structure of 'Lean, Agility, Resilience, Green' (LARG) supply chain and sustainability. The novelty of this research is that a classification scheme of manufacturing paradigms in SCM was developed where previous studies were used to find how these paradigms were being integrated. The results indicated that paradigms in SCM, including; Lean, Agile, Resilience, Green, and Sustainable had an important role in the successful performance and competitive advantage. The Goodness of Fit was used to examine the verification model solution. The contribution of this research is an integrated model of LARG supply chain paradigms and sustainable supply chain performance. The proposed model is merged in academic literature for the first time. The integration model of LARG supply chain paradigms and supply chain sustainable performance ARTICLE HISTORY

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“…sustainability Based on the TBL a philosophy & postponement strategy or delayed differentiation (Sridhar & Jones, 2013). Product variety lean Low Raut et al, 2021). agility…”

Section: Research Methods and Data Analysismentioning

confidence: 99%

“…High Raut et al, 2021). sustainability High (Raut et al, 2021 (Meyer, 2020). green High capability with respect to customer's needs (Chen & Liu, 2020).…”

Section: Research Methods and Data Analysismentioning

confidence: 99%

The integration of LARG supply chain paradigms and supply chain sustainable performance (A case study of Iran)

Anvari¹

2021

Production & Manufacturing Research

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“… Agility Agility can be defined as the ability of a system to grow in an unpredictable and continuously changing business environment (Christopher 2000 ; Razmi et al 2017 )). The organization is at higher risk where response time to changes is too much (Raut et al 2021 ). According to Christopher and Peck ( 2004 ), “ Supply chain agility can be defined as the ability to respond quickly to unpredictable changes in demand or supply ”.…”

Section: Supply Chain Resilience Indicatorsmentioning

confidence: 99%

Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

et al. 2022

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As the world has seen the impact of COVID-19, development of resilient supply chain strategies has emerged as top priority. The inconsistent demands, product consumption and the shorter lifecycle of products during the pandemic needs appropriate planning and designing to make the supply chain more resilient. In this study, an analytical model is proposed to assess the resilience of supply chain to overcome the effect of the disruption impacts. The supply chain risks will depend on the nature of the business and therefore, besides literature review on supply chain resilience the inputs from experts were required. The interdependency among the indicators was analysed by employing Interpretive Structural Modelling (ISM) and demonstrated with the help of a framework. The strength of the interdependence is assessed using Bayesian Network approach. BN transformed the qualitative expert inputs to quantitative assessment by utilising the principles of conditional probability. Three cases from Indian manufacturing industries were used to demonstrate and assess the critical supply chain resilience indicators using integrated ISM-BN approach. The cases showed that the proposed approach can assist decision makers in identifying the critical indicators to be focused towards improving the supply chain resilience to overcome the outbreak of Covid-19 pandemic. A comparative analysis of the supply chain risk indicators has also been performed, thereby extending the practical implication of supply chain resilience.

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“…As outlined in the theoretical framework section, high variations between different picking contexts occur, e.g., the number of articles, size of the warehouse, and product placement within the warehouse. This should be extended into further issues like quality and sustainability as well as innovation and technology development of working systems in order picking [62][63][64][65]. (4) Within this analysis, one specific timeframe is analyzed.…”

Section: Limitationsmentioning

confidence: 99%

Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics

Klumpp

Loske

2021

JTAER

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Order picking is a crucial but labor- and cost-intensive activity in the retail logistics and e-commerce domain. Comprehensive changes are implemented in this field due to new technologies like AI and automation. Nevertheless, human worker’s activities will be required for quite some time in the future. This fosters the necessity of evaluating manual picker-to-part operations. We apply the non-parametric Data Envelopment Analysis (DEA) to evaluate the efficiency of n = 23 order pickers processing 6109 batches with 865,410 stock keeping units (SKUs). We use distance per location, picks per location, as well as volume per SKU as inputs and picks per hour as output. As the convexity axiom of standard DEA models cannot be fully satisfied when using ratio measures with different denominators, we apply the Free Disposal Hull (FDH) approach that does not assume convexity. Validating the efficiency scores with the company’s efficiency assessment, operationalized by premium payments shows a 93% goodness=of-fit for the proposed model. The formulated non-parametric approach and its empirical application are promising ways forward in implementing empirical efficiency measurements for order picking operations within e-commerce operations.

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Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

Cited by 169 publications

References 113 publications

The integration of LARG supply chain paradigms and supply chain sustainable performance (A case study of Iran)

The integration of LARG supply chain paradigms and supply chain sustainable performance (A case study of Iran)

Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics

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