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Article: Resource planning strategies for healthcare systems during a pandemic.

Fattahi, Mohammad / Keyvanshokooh, Esmaeil / Kannan, Devika / Govindan, Kannan

European journal of operational research

2022 Volume 304, Issue 1, Page(s) 192–206

Abstract: We study resource planning strategies, including the integrated healthcare resources' allocation and sharing as well as patients' transfer, to improve the response of health systems to massive increases in demand during epidemics and pandemics. Our study ...

Abstract	We study resource planning strategies, including the integrated healthcare resources' allocation and sharing as well as patients' transfer, to improve the response of health systems to massive increases in demand during epidemics and pandemics. Our study considers various types of patients and resources to provide access to patient care with minimum capacity extension. Adding new resources takes time that most patients don't have during pandemics. The number of patients requiring scarce healthcare resources is uncertain and dependent on the speed of the pandemic's transmission through a region. We develop a multi-stage stochastic program to optimize various strategies for planning limited and necessary healthcare resources. We simulate uncertain parameters by deploying an agent-based continuous-time stochastic model, and then capture the uncertainty by a forward scenario tree construction approach. Finally, we propose a data-driven rolling horizon procedure to facilitate decision-making in real-time, which mitigates some critical limitations of stochastic programming approaches and makes the resulting strategies implementable in practice. We use two different case studies related to COVID-19 to examine our optimization and simulation tools by extensive computational results. The results highlight these strategies can significantly improve patient access to care during pandemics; their significance will vary under different situations. Our methodology is not limited to the presented setting and can be employed in other service industries where urgent access matters.
Language	English
Publishing date	2022-01-15
Publishing country	Netherlands
Document type	Journal Article
ISSN	0377-2217
ISSN	0377-2217
DOI	10.1016/j.ejor.2022.01.023
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Budget impact and cost-utility analysis of prophylactic emicizumab versus on-demand bypassing agents for adolescent severe haemophilia A patients with inhibitors in India.

Krishnamoorthy, Yuvaraj / Govindan, Dhanajayan / Kannan, Narasimhapriyan / Majella, Marie Gilbert / Hariharan, Vishnu Shankar / Valliappan, Vivek

Heliyon

2024 Volume 10, Issue 5, Page(s) e27089

Abstract: Introduction: Severe Haemophilia A patients with inhibitors are currently being treated with bypassing agents like activated prothrombin complex concentrates (aPCC) and recombinant factor VIIa. Emicizumab is a recombinant humanized monoclonal antibody, ... ...

Abstract	Introduction: Severe Haemophilia A patients with inhibitors are currently being treated with bypassing agents like activated prothrombin complex concentrates (aPCC) and recombinant factor VIIa. Emicizumab is a recombinant humanized monoclonal antibody, introduced to reduce the bleeding events, improve treatment adherence, and quality of life. However, cost-effectiveness and long-term sustainability of the intervention is not studied in a low middle income setting like India. Aim: The primary objective of this study was to evaluate the cost-utility of Emicizumab compared to traditional bypassing agents in the treatment of severe haemophilia A patients with inhibitors in India. Secondary objective was to analyze the budgetary impact of introducing Emicizumab for this patient population from the perspective of public health system in India. Methods: Markov model was created to compare the prophylactic emicizumab therapy against bypassing agents for a hypothetical cohort of 10-year-old adolescents in India. The time horizon was 10 years and model built based on health system perspective. Cost utility was expressed as costs per quality-adjusted life-years (QALYs) gained. All costs were expressed as 2021 US dollars. Probabilistic sensitivity analysis was performed to check the robustness of the estimates. Results: Prophylactic emicizumab was a cost saving intervention with negative Incremental Cost Utility Ratio (ICUR) against recombinant factor VIIa of -853,573 USD (INR -63,109,773), and negative ICUR of -211,675 USD (INR -15,650,403) against APCC. The estimated total budget for treating all the severe Haemophilia A patients with inhibitors in India was USD 59,042,000 (INR 4,365,329,312) for 10 years' time horizon (per patient cost of USD 295,210 [INR 21,826,646.56]). Conclusion: Prophylactic emicizumab therapy is a cost saving intervention when compared to both the bypassing agents as it is less costly and more effective for severe Haemophilia A patients with inhibitors in India.
Language	English
Publishing date	2024-03-01
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e27089
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Optimal eco-label choice strategy for environmentally responsible corporations considering government regulations

Hou, Yingjie / Guo, Peng / Kannan, Devika / Govindan, Kannan

Journal of Cleaner Production. 2023 Sept., v. 418 p.138013-

2023

Abstract: Eco-labels are an essential market instrument for communicating environmental information about products to consumers. This study aims to identify how government regulations affect the optimal determination of labeling choices in a competitive market. ... ...

Abstract	Eco-labels are an essential market instrument for communicating environmental information about products to consumers. This study aims to identify how government regulations affect the optimal determination of labeling choices in a competitive market. Our findings suggest that an industry-set eco-label is optimal in terms of economic benefits for firms that produce green products. However, a self-set eco-label can be a viable option if the credibility of the self-set label is high enough to be comparable to the industry-set label. For social benefits, the government-set eco-label is superior to both industry-set and self-set labels, but it does not benefit the profits of firms or the industry. Consequently, firms will not actively choose government eco-labels without considering other mandatory measures. Our results also suggest that eco-label credibility and subsidies can improve both economic and social benefits for firms. In addition, an increase in consumer preference is beneficial to social benefits, but not to economic benefits for firms. Furthermore, environmental taxes can improve economic benefits for green firms, but excessive taxes may harm industry performance and social welfare. The findings of this study offer valuable insights for stakeholders in making eco-label decisions. Additionally, by integrating government regulations and voluntary market tools, the study provides important policy implications for enhancing the effectiveness of eco-labels.
Keywords	consumer preferences ; ecolabeling ; industry ; issues and policy ; markets ; social welfare ; stakeholders ; Eco-labels ; Government regulation ; Eco-label credibility ; Market competition
Language	English
Dates of publication	2023-09
Publishing place	Elsevier Ltd
Document type	Article ; Online
ISSN	0959-6526
DOI	10.1016/j.jclepro.2023.138013
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A novel bi-objective optimization model for an eco-efficient reverse logistics network design configuration

Kannan, Devika / Solanki, Rahul / Darbari, Jyoti Dhingra / Govindan, Kannan / P.C., Jha

Journal of Cleaner Production. 2023 Feb. 06, p.136357-

2023 , Page(s) 136357–

Abstract: Ecological sustainability has become a top priority for governments and business practitioners because of the massive surge in electronic waste (e-waste). This ecological context has compelled electronic firms to adopt reverse logistics (RL) and to ... ...

Abstract	Ecological sustainability has become a top priority for governments and business practitioners because of the massive surge in electronic waste (e-waste). This ecological context has compelled electronic firms to adopt reverse logistics (RL) and to invest in advanced technologies with a focus on sustainable recovery practices and on reducing excessive carbon emissions (CEs). This study proposes a multi-objective mixed integer programming (MOMIP) model for configuring a RL network design; it incorporates multiple products, multiple recovery facilities, multiple processing technologies, and a selection of vehicle types. The novelty of this study lies in its consideration of four green technologies (inspection, dismantling, repair/refurbishing, and recycling facilities), and its efforts to maximize return yield potential in the form of product, components, and material recovery. The main objective of the model is to minimize overall RL network cost and environmental impact due to processing and transportation. Further, a weighted goal programming technique is used to determine efficient solutions and furnish a trade-off among the conflicting objectives. The mathematical model is validated utilizing a real life case study of an electronics manufacturing firm in India. The total RL network cost and emissions are both reduced, and different technologies are selected automatically for the RL processing facilities. The results demonstrate that the return yield increases significantly with the greener technology selections. The study also draws significant implications, specifically that carbon tax regulatory policies aid in significantly reducing carbon emissions to a large extent along with increasing product return yield. Hence, the results will help industrial managers in their strategic and tactical decision making. Their evaluations of recovery options, technology selection, and vehicle selection with regard to economic and ecological impact will permit decision makers to gain valuable managerial insights.
Keywords	carbon ; carbon markets ; case studies ; electronic wastes ; electronics ; environmental impact ; environmental sustainability ; mathematical models ; transportation ; India ; Reverse logistics ; Eco-efficiency ; Carbon tax policy ; Network design ; Multi objective
Language	English
Dates of publication	2023-0206
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version ; Use and reproduction
ISSN	0959-6526
DOI	10.1016/j.jclepro.2023.136357
Database	NAL-Catalogue (AGRICOLA)

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Article: Sustainable consumption and production in the food supply chain

Govindan, Kannan

International journal of production economics Vol. 195 , p. 419-431

a conceptual framework

2018 Volume 195, Page(s) 419–431

Author's details	Kannan Govindan
Keywords	Sustainable consumption and production ; Theory development ; Food supply chain ; Conceptual framework
Language	English
Publisher	Elsevier
Publishing place	Amsterdam [u.a.]
Document type	Article
ZDB-ID	1092526-0 ; 2020829-7
ISSN	0925-5273
ISSN	0925-5273
Database	ECONomics Information System

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Article ; Online: Iodine-Promoted Oxidative Cyclization of Acylated and Alkylated Derivatives from Epoxides toward the Synthesis of Aza Heterocycles.

Jayaram, Alageswaran / Govindan, Karthick / Kannan, Vijaya Raghavan / Thavasianandam Seenivasan, Vijay / Chen, Nian-Qi / Lin, Wei-Yu

The Journal of organic chemistry

2023 Volume 88, Issue 3, Page(s) 1749–1761

Abstract: A new method for directly synthesizing acylated and alkylated quinazoline derivatives by the epoxide ring-opening reaction in the presence of ... ...

Abstract	A new method for directly synthesizing acylated and alkylated quinazoline derivatives by the epoxide ring-opening reaction in the presence of I
Language	English
Publishing date	2023-01-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	123490-0
ISSN	1520-6904 ; 0022-3263
ISSN (online)	1520-6904
ISSN	0022-3263
DOI	10.1021/acs.joc.2c02802
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Article ; Online: Overcoming barriers to implement digital technologies to achieve sustainable production and consumption in the food sector: A circular economy perspective

Śarmā, Manu / Joshi, Sudhanshu / Govindan, Kannan

Sustainable Production and Consumption. 2023 July, v. 39, p. 203-215

2023 , Page(s) 203–215

Abstract: Food security and waste minimisation are the main concerns for the management of food supply chains (FSC), as >33 % of global food production is wasted or lost due to mismanagement. Stakeholders must address the ongoing issues, such as resource scarcity, ...

Abstract	Food security and waste minimisation are the main concerns for the management of food supply chains (FSC), as >33 % of global food production is wasted or lost due to mismanagement. Stakeholders must address the ongoing issues, such as resource scarcity, climate change, waste creation etc. to create an environment conducive to sustainable production and consumption (SPC) and to promote economic sustainability. Resource efficiency and waste minimization are necessary for SPC in the FSC. Technologies from the Industry 4.0 era have demonstrated their ability to address these problems effectively. However, there are barriers to the adoption of digital technology because of internal or external issues. Therefore, it is necessary to examine the challenges faced by the food industry while applying digital technology to attain SPC. The current study has adopted an integrated methodology of Best-Worst-Method (BWM)-Level Based Weight Assessment (LBWA) and Combined Compromise Solution (CoCoSo) methods to analyse the barriers in implementing digital technologies to achieve SPC in FSC. Strategic measures to overcome these barriers are suggested. The BWM-LBWA-CoCoSo technique is used for the first time in this study to evaluate the barriers and determine the most effective strategies. According to the BWM-LBWA research, "organisational barriers" are the main impediment to the adoption of digital technology for SPC in the FSC. According to CoCoSo findings, the best way to overcome the major barriers is to "focus on improving commitment from senior management towards SPC." The study gives decision-makers information about the major barriers in utilizing advanced digital technology to achieve SPC in FSC.
Keywords	circular economy ; climate change ; decision making ; economic sustainability ; food industry ; food production ; food security ; stakeholders ; Sustainable production and consumption ; Digital technologies ; Food supply chains
Language	English
Dates of publication	2023-0418
Size	p. 203-215
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version ; Use and reproduction
ISSN	2352-5509
DOI	10.1016/j.spc.2023.04.002
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The transition to electric vehicles and a net zero economy: A model based on circular economy, stakeholder theory, and system thinking approach

Demartini, Melissa / Ferrari, Marco / Govindan, Kannan / Tonelli, Flavio

Journal of Cleaner Production. 2023 Apr. 14, p.137031-

2023 , Page(s) 137031–

Abstract: Greenhouse gas emissions and air pollution are major contributors to climate change, causing harm to both the planet and people. Since transportation is a significant source of these emissions, several European countries have implemented plans to switch ... ...

Abstract	Greenhouse gas emissions and air pollution are major contributors to climate change, causing harm to both the planet and people. Since transportation is a significant source of these emissions, several European countries have implemented plans to switch to electric cars and decrease emissions by 2050. However, this transition presents many challenges, including issues with redesigning supply chains, scarcity of raw materials, and impacts on employment, technology, mobility behaviour, and infrastructure. The aim of this study is to develop a model based on system dynamics and agent-based approaches to evaluate effects of the electric and net zero economy transitions on the automotive supply chains and relevant stakeholders. The study incorporates principles of circular economy, stakeholder theory, and system thinking approach. The research considers various stakeholders such as automotive manufacturers, suppliers, and workers, and it explores several operations such as production, de-manufacturing, and end-of-life activities for three types of vehicles: fuel, hybrid, and electric. The results of the model show that a transition towards electric vehicles and a net zero economy is only possible through the implementation of circular economy, which can generate new business opportunities, reductions in raw material consumption, and a resulting increase in competitiveness; however, at the same time, this transition can have several implications for job. Indeed, the EV transition will significantly reduce the number of manufacturing jobs available in the automotive industry due to an increase in automation, fewer moving parts, and simpler engines. Therefore, it is fundamental that companies and policy makers use the results of this study to reduce the negative effects on employment and plan specific programs and policies to support the developing of new skills for workers and favour their relocation in the supply chain (i.e., end of life activities).
Keywords	air pollution ; automation ; circular economy ; climate change ; employment ; fuels ; greenhouse gases ; industry ; infrastructure ; issues and policy ; raw materials ; stakeholders ; supply chain ; transportation ; Electric vehicle ; Net zero economy ; de-manufacturing ; Stakeholder theory ; System thinking ; System dynamics ; Agent based
Language	English
Dates of publication	2023-0414
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version
ISSN	0959-6526
DOI	10.1016/j.jclepro.2023.137031
Database	NAL-Catalogue (AGRICOLA)

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Article: Analysis of factors influencing residents' waste sorting behavior: A case study of Shanghai

Govindan, Kannan / Zhuang, Yue / Chen, Gang

Journal of cleaner production. 2022 May 15, v. 349

2022

Abstract: Waste sorting is essential to alleviate the current municipal waste dilemma, and some countries have implemented waste management policies to encourage residents separating food waste at the source. In order to improve residents' participation rate in ... ...

Abstract	Waste sorting is essential to alleviate the current municipal waste dilemma, and some countries have implemented waste management policies to encourage residents separating food waste at the source. In order to improve residents' participation rate in waste sorting, it's necessary to study the influencing factors of residents' waste sorting behavior. Therefore, this study built an extended theoretical research model based on the theory of planned behavior (TPB). A survey of 324 valid questionnaire responses in Shanghai was conducted to analyze the factors influencing residents' waste sorting behavior by using structural equation modelling. This research found that attitude, subjective norms, and perceived behavioral control were positively and significantly related to residents' waste sorting intention and proved sorting behavior is influenced by sorting intention. Meanwhile, the results suggested these three newly added factors (infrastructure, economic incentive, and assistance & supervision) have a positive moderating effect on the relationship between intention and behavior. This research advanced the understanding of residents' waste sorting behavior and improved TPB by adding three factors. Moreover, our study concluded important experience from a relatively successful case city of Shanghai, which provided valuable implications for promoting residents of other municipalities to participate in waste sorting.
Keywords	case studies ; economic incentives ; equations ; food waste ; infrastructure ; models ; questionnaires ; surveys ; waste management ; China
Language	English
Dates of publication	2022-0515
Publishing place	Elsevier Ltd
Document type	Article
ISSN	0959-6526
DOI	10.1016/j.jclepro.2022.131126
Database	NAL-Catalogue (AGRICOLA)

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Book: Evolutionary algorithms for supply chain management

Govindan, Kannan

(Annals of operations research ; volume 242, number 2 (July 2016))

2016

Author's details	editor: Kannan Govindan
Series title	Annals of operations research ; volume 242, number 2 (July 2016)
Keywords	Evolutionärer Algorithmus ; Lieferkette
Language	Undetermined
Size	Seite 195-557, Illustrationen
Publisher	Springer
Publishing place	New York, NY, USA
Document type	Book
Note	Enthält 15 Beiträge
Database	ECONomics Information System

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