Green Supply Chain Performance Prediction Using a Bayesian Belief Network

Rabbi,; Ali, Syed Mithun; Kabir, Golam; Mahtab, Zuhayer; Paul, Sanjoy Kumar

doi:10.3390/su12031101

Cited by 17 publications

(15 citation statements)

References 80 publications

(89 reference statements)

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“…However, supply chains are becoming circular and closed loops [88]. A green supply chain helps to achieve the sustainable growth of a company [89].…”

Section: Channel Enhancementmentioning

confidence: 99%

Organization’s Sustainable Operational Complexity and Strategic Overview: TISM Approach and Asian Case Studies

Sushil

Anbarasan

2021

Sustainability

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As a region, Asia comprises communist China, democratic India and many small quasi-democratic and authoritarian states. Both China and India play a significant role in maintaining multilateral world order. Asia’s regional power remains with its enormous potential of resources for domestic markets and per capita purchasing power parity. Hence, the economic and the business aspects of the Asian region require comprehensive study. Sustainable operational excellence is a notion carried by an organisation’s sustainable economic development and other values. This study incorporates the multiple case study method. Twelve case organisations such as Tata Motors, Samsung, Nissan, Indigo, Mitsubishi, Huawei, Wilmar, Canon, NTPC, Hitachi, Singapore Airlines, and L&T were chosen to study their sustainability values, and operational and strategic strands. TISM (total interpretive structural modelling) method is used for model building; four variables such as operating activities, investing activities, financing activities, and SVE (Social value expenditures) are taken for empirical analysis. Based on the available secondary data, the study incorporated panel data regression analysis. The result shows that SVE positively and significantly explains operational activities that proxy with sustainable business practices. The study concludes with a Paux strategy framework for discussion and managerial implications.

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“…However, supply chains are becoming circular and closed loops [88]. A green supply chain helps to achieve the sustainable growth of a company [89].…”

Section: Channel Enhancementmentioning

confidence: 99%

Organization’s Sustainable Operational Complexity and Strategic Overview: TISM Approach and Asian Case Studies

Sushil

Anbarasan

2021

Sustainability

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“…For manufacturing industries, a variety of case studies analyzed effective performance measures in different scenarios (Ketokivi and Schroeder, 2004). Green supply chain management also helps to reduce impact of supply chain activities and contributing in sustainability through socio-economic benefits (Rabbi et al, 2020;Trujillo et al, 2020). This statement is covered in the following literature: (1) lean implementation does not directly impact in environmental performance (Torielli et al, 2011).…”

Section: Slm Lean Green Performance Measuresmentioning

confidence: 99%

Identification of specific metrics for sustainable lean manufacturing in the automobile industries

Kumar

Mathiyazhagan²,

Thilak

et al. 2021

BIJ

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PurposeThis study explains the importance of performance measures and identifies the specific performance measures of sustainable lean manufacturing (SLM) for automobile industries. Awareness towards sustainability and continuous improvement approaches demand monitoring of the sustainable lean impact on organization/industry, and hence, identifying the specific performance metrics is of peak importance.Design/methodology/approachIn this study, specific metrics for social, economic and environmental performance are identified from a systematic literature review of 82 significantly related journal articles. The importance of the identified metrics is assessed with the help of questionnaire responses from a group of industrial experts.FindingsPerformance indicators are statistically analyzed category wise and assessed. The key metrics are summarized based on the survey data followed by a discussion with industrial experts. From this study, performance measures have been identified and validated through hypothesis testing for Indian automobile industries. Certification of IATF16949 implementation found an important vertical for SLM implementation. In this study, SLM implementation initiatives are discussed, and reward scheme for outstanding performers are identified as important initiatives are followed by small improvement culture.Practical implicationsThe proposed discussion of this study is useful for industrialist and researchers, as SLM performance measures are well explained for Indian automobile industries. In this study, future research direction is also explained related to other industries. These summarized performance measures will help to maintain SLM in industries.Originality/valueThis paper presents the original literature review based on the study of SLM, as no extensive study is available where SLM performance measure explained for automobile industries. Key initiatives and vertical of SLM are well explained for Indian automobile industries. This study proposed a complete framework for SLM implementation considering competitive manufacturing targets.

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“…In the model, all input and resources at production stage may be assumed as independent variables and therefore, (parents), while those at the processing stage as dependent (children). The Bayesian model has been used in supply chain risk assessment (Sharma and Sharma, 2015); analysis and prediction of ecological water quality (Forioa et al, 2015); on nutrient regulating ecosystem services (Bicking et al, 2019); reliability control of fresh food e-commerce logistics systems (Zhang et al, 2020); grower´s adaptive pre-harvest burning decisions (Price et al, 2018) on green supply chain performance prediction (Rabbi et al, 2020).…”

Section: Processing Constraintsmentioning

confidence: 99%

Scalability constraints in Disruptive Agricultural Technologies (DATs) along Value Chain on agricultural production in South Sudan

Lomeling

2021

Arch. Agric. Environ. Sci.

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Scalability known as the capacity of input variables along the Value Chain (VC) to effect transformative changes on agricultural production was evaluated for a farming system in Juba County of Central Equatoria State (CES), South Sudan. These transformative input variables commonly referred to as, Disruptive Agricultural Technologies (DATs) in the form of advisory, material as well as technological variables were shown to positively influence agricultural production from a default state. The objective of this study was to find out how a probability-based Bayesian Belief Network (BBN) software NETICA could be applied to assess as well as upscale the level of agricultural production P(Prodlevel | ) from a data input domain D. Simulation using a 700 kg ha-1 of cowpea yield at 50% Cumulative Probability Distribution (CPD) as a calibrant, the backcasting method showed that, scaling up of marginal probabilities in agrotechnology and financial resources from 0.025 to 0.1 (25% increment) and from 0.015 to 0.03 (50% increment) respectively, while keeping other input variables unchanged, increased cowpea yield from 692.9 to 783.1 kg ha-1 (about 12% increment). Conversely, where no DATs were introduced as in the worst-case scenario, production level was comparatively lower. The BBN model is thus, an indispensable tool that can provide useful information on scaling up agricultural production and hence improve livelihood opportunities in Juba County. However, for sustainable agricultural production, scalability may be constrained by spatial-temporal, environmental and socio-economic imperatives as well as on availability, accessibility, affordability of all input variables.

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Green Supply Chain Performance Prediction Using a Bayesian Belief Network

Cited by 17 publications

References 80 publications

Organization’s Sustainable Operational Complexity and Strategic Overview: TISM Approach and Asian Case Studies

Organization’s Sustainable Operational Complexity and Strategic Overview: TISM Approach and Asian Case Studies

Identification of specific metrics for sustainable lean manufacturing in the automobile industries

Scalability constraints in Disruptive Agricultural Technologies (DATs) along Value Chain on agricultural production in South Sudan

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