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  1. Buch ; Online: Sustainable Assessment in Supply Chain and Infrastructure Management

    Kabir, Golam / Paul, Sanjoy Kumar / Ali, Syed Mithun

    2022  

    Schlagwörter Technology: general issues ; History of engineering & technology ; green supply chain ; performance measurement ; Bayesian belief network ; sustainability ; trenchless technologies ; pipelines ; construction ; social cost ; fuzzy QFD ; flexibility ; IT flexibility ; importance‒performance analysis ; partial least squared structured equation modelling ; performance gap ; sustainable growth ; higher educational institutions ; academic buildings ; environmental performance ; performance benchmarking ; fuzzy clustering analysis ; metabolic flows ; green supply chain management ; carbon tax and cap ; can-order policy ; mixed-integer programming ; fuzzy constraints ; social sustainability ; small- and medium-sized enterprises (SMEs) ; stakeholder support ; social sustainability awareness ; transport networks ; logistics ; simulation games ; serious games ; innovation ecosystem ; Port of Rotterdam ; complex systems ; truck platooning ; barge transport ; multi-sided platforms ; Bayesian ; geoadditive ; quantile ; P-splines ; boosting optimization ; resilience ; housing infrastructure ; flood hazard and sensitivity analysis ; shipping cost ; risk assessment and management ; conditional value-at-risk ; investment projects ; financial analysis ; economic analysis ; energy efficiency ; public buildings ; literature review ; multi-criteria decision-making ; MCDM methods ; sustainable supply chain management ; SSCM ; efficiency assessment ; operations strategy matrix ; data envelopment analysis ; healthcare systems ; COVID-19 ; n/a
    Sprache 0|e
    Umfang 1 electronic resource (274 pages)
    Verlag MDPI - Multidisciplinary Digital Publishing Institute
    Erscheinungsort Basel
    Dokumenttyp Buch ; Online
    Anmerkung English ; Open Access
    HBZ-ID HT021619661
    ISBN 9783036545202 ; 3036545204
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel ; Online: Sustainable Assessment in Supply Chain and Infrastructure Management

    Golam Kabir / Sanjoy Kumar Paul / Syed Mithun Ali

    Sustainability, Vol 14, Iss 6787, p

    2022  Band 6787

    Abstract: Assessing sustainability in supply chain and infrastructure management is important for any organization in the competitive business environment or public domain [.] ...

    Abstract Assessing sustainability in supply chain and infrastructure management is important for any organization in the competitive business environment or public domain [.]
    Schlagwörter n/a ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Sprache Englisch
    Erscheinungsdatum 2022-06-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Benchmarking sustainable E-commerce enterprises based on evolving customer expectations amidst COVID-19 pandemic.

    Pratap, Saurabh / Jauhar, Sunil Kumar / Daultani, Yash / Paul, Sanjoy Kumar

    Business strategy and the environment

    2022  

    Abstract: The 2019 coronavirus disease (COVID-19) pandemic has seriously impacted the performance of all types of businesses. It has given a tremendous structural boost to e-commerce enterprises by forcing customers to online shopping over visiting physical stores. ...

    Abstract The 2019 coronavirus disease (COVID-19) pandemic has seriously impacted the performance of all types of businesses. It has given a tremendous structural boost to e-commerce enterprises by forcing customers to online shopping over visiting physical stores. Moreover, customer expectations of the digital and operational capabilities of e-commerce firms are also increasing globally. Thus, it has become crucial for an e-commerce enterprise to reassess and realign its business practices to meet evolving customer needs and remain sustainable. This paper presents a comprehensive performance evaluation framework for e-commerce enterprises based on evolving customer expectations due to the COVID-19 pandemic. The framework comprises seven primary criteria, which are further divided into 25 sub-criteria, including two sustainability factors, namely, environmental sustainability and carbon emissions. The evaluation approach is then practically demonstrated by analyzing the case of three Indian e-commerce firms. The results are obtained using a multi-criteria decision-making (MCDM) method, namely, Fuzzy VIKOR, to capture the fuzziness of the inherent decision-making problem. Further, numerical analysis is conducted to evaluate and rank various e-commerce enterprises based on customer expectations and satisfaction benchmarks. The findings explain the most important criteria and sub-criteria for e-commerce businesses to ensure customer expectations along with their economic and environmental sustainability.
    Sprache Englisch
    Erscheinungsdatum 2022-06-24
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2025936-0
    ISSN 1099-0836 ; 0964-4733
    ISSN (online) 1099-0836
    ISSN 0964-4733
    DOI 10.1002/bse.3172
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Strategies for Managing the Impacts of Disruptions During COVID-19: an Example of Toilet Paper.

    Paul, Sanjoy Kumar / Chowdhury, Priyabrata

    Global journal of flexible systems management

    2020  Band 21, Heft 3, Seite(n) 283–293

    Abstract: Due to the recent pandemic of coronavirus, known as the COVID-19 outbreak, the supply chains have been impacted most significantly. Manufacturers of certain items have experienced a substantial increase in demand, and on the other hand, raw materials ... ...

    Abstract Due to the recent pandemic of coronavirus, known as the COVID-19 outbreak, the supply chains have been impacted most significantly. Manufacturers of certain items have experienced a substantial increase in demand, and on the other hand, raw materials supply, to produce those items, has reduced because of supply failure. To overcome these challenges, this paper proposes some strategies to improve service level during an extraordinary pandemic outbreak, such as COVID-19, for the most wanted products such as toilet paper. This study considers meeting the increased demand of the customers for an essential product of daily life like toilet paper during a pandemic is beyond the traditional economic objective, i.e., increase profit, of the manufacturers. Instead, this should be more about the social responsibility of all the manufactures to ensure that they can serve more customers. Motivated by this and taking toilet paper as an example of the product, we first analyzed the current scenario of the manufacturing and the demand for the product and then proposed some strategies to deal with this unprecedented risk and analyzed the results. We have compared the results, using hypothetical data, between the current scenario and proposed strategies. The result shows that sharing information and resources from all manufacturers to produce under a single brand, emergency sourcing, producing basic quality items, and packing in the smallest sizes have a significant positive impact on the service level. This paper first investigates the strategies for a high-demand and essential item during a pandemic situation and proposes strategies to deal with this unique, extraordinary disruption.
    Sprache Englisch
    Erscheinungsdatum 2020-07-12
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2135478-9
    ISSN 0974-0198 ; 0972-2696
    ISSN (online) 0974-0198
    ISSN 0972-2696
    DOI 10.1007/s40171-020-00248-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective.

    Ahmed, Tazim / Karmaker, Chitra Lekha / Nasir, Sumaiya Benta / Moktadir, Md Abdul / Paul, Sanjoy Kumar

    Computers & industrial engineering

    2023  Band 177, Seite(n) 109055

    Abstract: The recent COVID-19 pandemic has significantly affected emerging economies' global supply chains (SCs) by disrupting their manufacturing activities. To ensure business survivability during the current and post-COVID-19 era, it is crucial to adopt ... ...

    Abstract The recent COVID-19 pandemic has significantly affected emerging economies' global supply chains (SCs) by disrupting their manufacturing activities. To ensure business survivability during the current and post-COVID-19 era, it is crucial to adopt artificial intelligence (AI) technologies to renovate traditional manufacturing activities. The fifth industrial revolution, Industry 5.0 (I5.0), and artificial intelligence (AI) offer the overwhelming potential to build an inclusive digital future by ensuring supply chain (SC) resiliency and sustainability. Accordingly, this research aims to identify, assess, and prioritize the AI-based imperatives of I5.0 to improve SC resiliency. An integrated and intelligent approach consisting of Pareto analysis, the Bayesian approach, and the Best-Worst Method (BWM) was developed to fulfill the objectives. Based on the literature review and expert opinions, nine AI-based imperatives were identified and analyzed using Bayesian-BWM to evaluate their potential applicability. The findings reveal that real-time tracking of SC activities using the Internet of Things (IoT) is the most crucial AI-based imperative to improving a manufacturing SC's survivability. The research insights can assist industry leaders, practitioners, and relevant stakeholders in dealing with the impacts of large-scale SC disruptions in the post-COVID-19 era.
    Sprache Englisch
    Erscheinungsdatum 2023-01-31
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 1879-0550
    ISSN (online) 1879-0550
    DOI 10.1016/j.cie.2023.109055
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Strategies for Managing the Impacts of Disruptions During COVID-19

    Paul, Sanjoy Kumar / Chowdhury, Priyabrata

    Global Journal of Flexible Systems Management

    an Example of Toilet Paper

    2020  Band 21, Heft 3, Seite(n) 283–293

    Schlagwörter Strategy and Management ; Business and International Management ; covid19
    Sprache Englisch
    Verlag Springer Science and Business Media LLC
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ZDB-ID 2135478-9
    ISSN 0974-0198 ; 0972-2696
    ISSN (online) 0974-0198
    ISSN 0972-2696
    DOI 10.1007/s40171-020-00248-4
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel: A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition.

    Goswami, Mohit / Daultani, Yash / Paul, Sanjoy Kumar / Pratap, Saurabh

    Annals of operations research

    2022  , Seite(n) 1–40

    Abstract: The current research aims to aid policymakers and healthcare service providers in estimating expected long-term costs of medical treatment, particularly for chronic conditions characterized by disease transition. The study comprised two phases ( ... ...

    Abstract The current research aims to aid policymakers and healthcare service providers in estimating expected long-term costs of medical treatment, particularly for chronic conditions characterized by disease transition. The study comprised two phases (qualitative and quantitative), in which we developed linear optimization-based mathematical frameworks to ascertain the expected long-term treatment cost per patient considering the integration of various related dimensions such as the progression of the medical condition, the accuracy of medical treatment, treatment decisions at respective severity levels of the medical condition, and randomized/deterministic policies. At the qualitative research stage, we conducted the data collection and validation of various cogent hypotheses acting as inputs to the prescriptive modeling stage. We relied on data collected from 115 different cardio-vascular clinicians to understand the nuances of disease transition and related medical dimensions. The framework developed was implemented in the context of a multi-specialty hospital chain headquartered in the capital city of a state in Eastern India, the results of which have led to some interesting insights. For instance, at the prescriptive modeling stage, though one of our contributions related to the development of a novel medical decision-making framework, we illustrated that the randomized versus deterministic policy seemed more cost-competitive. We also identified that the expected treatment cost was most sensitive to variations in steady-state probability at the "major" as opposed to the "severe" stage of a medical condition, even though the steady-state probability of the "severe" state was less than that of the "major" state.
    Sprache Englisch
    Erscheinungsdatum 2022-08-23
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 0254-5330
    ISSN 0254-5330
    DOI 10.1007/s10479-022-04914-x
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel: Modeling the blockchain readiness challenges for product recovery system.

    Dwivedi, Ashish / Agrawal, Dindayal / Paul, Sanjoy Kumar / Pratap, Saurabh

    Annals of operations research

    2022  , Seite(n) 1–45

    Abstract: Product Recovery System (PRS) transfers products from their typical final place to their source to arrest some value on the product. There are obstructions, such as costs, associated with the modification of accounts and assessment of products and ... ...

    Abstract Product Recovery System (PRS) transfers products from their typical final place to their source to arrest some value on the product. There are obstructions, such as costs, associated with the modification of accounts and assessment of products and refunds associated with the implementation of PRS. Blockchain Technology (BCT) emerged as an innovative approach to constructing trust in a trust less environment and assures the availability, traceability, and security in data management. It also presents a valuable solution to PRS. This study aims to analyze the Blockchain Readiness Challenges (BRCs) to PRS in the context of manufacturing industries. The study observes 20 readiness challenges linked with the implementation of BCT in PRS. The BRCs are identified from the literature survey and confirmed after consequent examinations with industry experts and researchers. The study employed a Multi-Criteria Decision-Making (MCDM) i.e., the Decision-Making Trial And Evaluation Laboratory (Fuzzy DEMATEL) approach to find the cause-and-effect interactions to prioritize BRCs. The Maximum Mean De-Entropy (MMDE) algorithm was adopted to establish the threshold value based on the information entropy of the interactions among the BRCs for PRS. The fuzzy set theory was adopted to tackle the uncertainty and vagueness of personnel biases and data deficiency problems. The findings from this study reveal that inadequate financing for PRS exercises, lack of governance and standards, and security challenges to BCT implementation are the most influential readiness challenges for the adoption of blockchain in PRS. The study is useful to manufacturing organizations for identifying the potential BRCs to implement PRS among all existing readiness challenges so that they can take suitable measures before proceeding to adopt blockchain in PRS. The managers are suggested to eliminate the readiness challenges and widen the blockchain technology adoption in PRS.
    Sprache Englisch
    Erscheinungsdatum 2022-01-20
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 0254-5330
    ISSN 0254-5330
    DOI 10.1007/s10479-021-04468-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel: Stochastic optimization approach for green routing and planning in perishable food production

    Pratap, Saurabh / Jauhar, Sunil Kumar / Paul, Sanjoy Kumar / Zhou, Fuli

    Elsevier Ltd Journal of cleaner production. 2022 Jan. 20, v. 333

    2022  

    Abstract: Perishable food products present a production-inventory routing dilemma critical to logistics planning for several industries. Due to the speedy deterioration of perishable food products, proper production, inventory, and shipping planning are essential. ...

    Abstract Perishable food products present a production-inventory routing dilemma critical to logistics planning for several industries. Due to the speedy deterioration of perishable food products, proper production, inventory, and shipping planning are essential. Meanwhile, the growing impact of greenhouse emissions due to fuel usage indicates that mitigation for these impacts must be factored into the routing problem. As a result, the perishable food product industry's logistics planning must include production-inventory-routing coordination with carbon footprint considerations. This paper aimed to create an integrated production-inventory-routing problem for perishable food products that took into account capacity, time windows, and carbon emissions reduction. The inventory routing problems are NP-hard in nature. Therefore, the proposed problems were solved using two nature-inspired algorithms: flower pollination algorithm (FPA) and cuckoo search algorithm (CSA). The effect of model parameters on the response value was investigated using sensitivity analysis, and the computational experiment discussed the comparative results obtained from both algorithms for different case scenarios. The outcomes of the two algorithms were evaluated for ten instances, and the CSA consistently outperformed the FPA. By incorporating uncertain demands via a random variable with a specified probability distribution, the proposed framework generates compelling opportunities. Individual logistics units may use the proposed framework to mitigate the stochastic nature of problems in uncertain circumstances.
    Schlagwörter algorithms ; carbon ; carbon footprint ; food production ; greenhouses ; industry ; inventories ; perishable foods ; probability distribution
    Sprache Englisch
    Erscheinungsverlauf 2022-0120
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.130063
    Datenquelle NAL Katalog (AGRICOLA)

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  10. Artikel ; Online: Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods

    Ananna Paul / Nagesh Shukla / Sanjoy Kumar Paul / Andrea Trianni

    Sustainability, Vol 13, Iss 7104, p

    A Systematic Review

    2021  Band 7104

    Abstract: Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. ...

    Abstract Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.
    Schlagwörter literature review ; multi-criteria decision-making ; MCDM methods ; sustainable supply chain management ; SSCM ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 710
    Sprache Englisch
    Erscheinungsdatum 2021-06-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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