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  1. Article ; Online: Analyzing the Prospects of Blockchain in Healthcare Industry.

    Srivastava, Shilpa / Pant, Millie / Jauhar, Sunil Kumar / Nagar, Atulya K

    Computational and mathematical methods in medicine

    2022  Volume 2022, Page(s) 3727389

    Abstract: Deployment of secured healthcare information is a major challenge in a web-based environment. eHealth services are subjected to same security threats as other services. The purpose of blockchain is to provide a structure and security to the organization ... ...

    Abstract Deployment of secured healthcare information is a major challenge in a web-based environment. eHealth services are subjected to same security threats as other services. The purpose of blockchain is to provide a structure and security to the organization data. Healthcare data deals with confidential information. The medical records can be well organized and empower their propagation in a secured manner through the usage of blockchain technology. The study throws light on providing security of health services through blockchain technology. The authors have analyzed the various aspects of role of blockchain in healthcare through an extensive literature review. The application of blockchain in COVID-19 has also been analyzed and discussed in the study. Further application of blockchain in Indian healthcare has been highlighted in the paper. The study provides suggestions for strengthening the healthcare system by blending machine learning, artificial intelligence, big data, and IoT with blockchain.
    Language English
    Publishing date 2022-12-02
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2252430-7
    ISSN 1748-6718 ; 1748-670X ; 1027-3662
    ISSN (online) 1748-6718
    ISSN 1748-670X ; 1027-3662
    DOI 10.1155/2022/3727389
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; 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.
    Language English
    Publishing date 2022-06-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2025936-0
    ISSN 1099-0836 ; 0964-4733
    ISSN (online) 1099-0836
    ISSN 0964-4733
    DOI 10.1002/bse.3172
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Responsive strategies for new normal cold supply chain using greenfield, network optimization, and simulation analysis.

    Maheshwari, Pratik / Kamble, Sachin / Belhadi, Amine / González-Tejero, Cristina Blanco / Jauhar, Sunil Kumar

    Annals of operations research

    2023  , Page(s) 1–41

    Abstract: The global-local supply chains are affected by the forward and downward propagation of COVID-19. The pandemic disruption is a low-frequency and high-impact (black swan) event. Adapting to the "New Normal" situation requires adequate risk mitigation ... ...

    Abstract The global-local supply chains are affected by the forward and downward propagation of COVID-19. The pandemic disruption is a low-frequency and high-impact (black swan) event. Adapting to the "New Normal" situation requires adequate risk mitigation strategies. This study proposes a methodology to implement a risk mitigation strategy during supply chain disruptions. Random demand accumulation strategies are considered to identify the disruption-driven challenges under different pre and post-disruption scenarios. The best mitigation strategy and the optimal location of distribution centers to maximize the overall profit were determined using simulation-based optimization, greenfield analysis, and network optimization techniques. The proposed model is then evaluated and validated using appropriate sensitivity analysis. The main contribution of the study is to (i) perform cluster-based supply chain disruption analysis, (ii) propose a resilient and flexible model to illustrate the proactive and reactive measures for the ripple effect, (iii) prepare the supply chain for future pandemic-like crises, and (v) reveal the relationship between the pandemic impact and supply chain resilience. A case study of an ice cream manufacturer is used to demonstrate the proposed model.
    Language English
    Publishing date 2023-03-29
    Publishing country United States
    Document type Journal Article
    ISSN 0254-5330
    ISSN 0254-5330
    DOI 10.1007/s10479-023-05291-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: 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.
    Keywords algorithms ; carbon ; carbon footprint ; food production ; greenhouses ; industry ; inventories ; perishable foods ; probability distribution
    Language English
    Dates of publication 2022-0120
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.130063
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Smart circular product design strategies towards eco-effective production systems: A lean eco-design industry 4.0 framework

    Dahmani, Noureddine / Benhida, Khalid / Belhadi, Amine / Kamble, Sachin / Elfezazi, Said / Jauhar, Sunil Kumar

    Journal of cleaner production. 2021 Oct. 20, v. 320

    2021  

    Abstract: For industrial enterprises, the transformation to circular business models can be curbed both by operational tools and the lack of relevant data. Lean thinking has offered great flexibility in production processes and systems by challenging mass ... ...

    Abstract For industrial enterprises, the transformation to circular business models can be curbed both by operational tools and the lack of relevant data. Lean thinking has offered great flexibility in production processes and systems by challenging mass production practices, resulting in more “Lean” products with less waste. Lean design and Eco-design, associated with Industry 4.0 technologies, can be an efficient structured and methodological approach in developing products based on the circular economy strategies. Indeed, decisions made during the product design stage can significantly impact the sustainability of products throughout their life cycle. Hence, lean design combined with eco-design and Industry 4.0 represents an innovative model to include sustainability throughout the product life cycle. This paper explores the relationship between lean eco-design and I4.0 strategies for designing eco-efficient products based on a literature review. The proposed framework is based on the synergic use of Lean design, Eco-design, and Industry 4.0. It offers the right formula to deliver better and cleaner products using appropriate processes to support manufacturers in designing products, fulfilling customers' needs and expectations. It provides scholars, designers, and managers with valuable insights into deploying strategies to design sustainable products.
    Keywords circular economy ; design for environment ; industry ; product life cycle ; wastes
    Language English
    Dates of publication 2021-1020
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.128847
    Database NAL-Catalogue (AGRICOLA)

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