Showing papers by "Kannan Govindan published in 2020"
TL;DR: For the first time, a practical decision support system based on physicians' knowledge and fuzzy inference system (FIS) is developed in order to help with the demand management in the healthcare supply chain, to reduce stress in the community, to break down the COVID-19 propagation chain, and, generally, to mitigate the epidemic outbreaks for Healthcare supply chain disruptions.
Abstract: The disasters caused by epidemic outbreaks is different from other disasters due to two specific features: their long-term disruption and their increasing propagation. Not controlling such disasters brings about severe disruptions in the supply chains and communities and, thereby, irreparable losses will come into play. Coronavirus disease 2019 (COVID-19) is one of these disasters that has caused severe disruptions across the world and in many supply chains, particularly in the healthcare supply chain. Therefore, this paper, for the first time, develops a practical decision support system based on physicians' knowledge and fuzzy inference system (FIS) in order to help with the demand management in the healthcare supply chain, to reduce stress in the community, to break down the COVID-19 propagation chain, and, generally, to mitigate the epidemic outbreaks for healthcare supply chain disruptions. This approach first divides community residents into four groups based on the risk level of their immune system (namely, very sensitive, sensitive, slightly sensitive, and normal) and by two indicators of age and pre-existing diseases (such as diabetes, heart problems, or high blood pressure). Then, these individuals are classified and are required to observe the regulations of their class. Finally, the efficiency of the proposed approach was measured in the real world using the information from four users and the results showed the effectiveness and accuracy of the proposed approach.
369 citations
TL;DR: In this article, the authors investigate the fundamental issues and opportunities and to develop a sustainable and smart country-wide waste management system using industry 4.0 technologies, which can achieve satisfactory economic, social, and environmental waste management performances.
242 citations
TL;DR: A hybrid approach of fuzzy analysis network process, fuzzy decision-making trial and evaluation laboratory, and multi-objective mixed-integer linear programming models are developed for circular supplier selection and order allocation in a multi-product circular closed-loop supply chain (C-CLSC).
168 citations
TL;DR: The lack of regulations, directions, and policy norms, and the lack of standardization and Internet connectivity are the most critical IoT barriers hindering the development of smart cities, particularly in their waste management practices.
131 citations
TL;DR: In this article, the authors identify the barriers of sharing economy implementation in industries, particularly with small and medium scale enterprises (SME) located in India, and present strategies so practitioners can evade such barriers through customized practices instead of providing a generic treatment.
110 citations
TL;DR: In this paper, the authors used a psychometric meta-analysis to synthesize the results from 167 effect sizes, collected from 129 articles, to understand the impact of various types of sustainability practices (i.e., environmental, social, and combined) on firm performance.
Abstract: In recent years, many studies link supply chain sustainability practices to firm performance, since more and more firms are implementing sustainable practices in their manufacturing/services supply chains. This study uses a psychometric meta-analysis to synthesize the results from 167 effect sizes, collected from 129 articles, to understand the impact of various types of sustainability practices (i.e., environmental, social, and combined) on firm performance (Financial and Operational). A sub-group analysis, using industry (manufacturing/service) and economy (developed/developing), was also performed to study the relative strength of sustainability-firm performance relationships in respective categories. The study confirms a positive association between the various aspects of sustainability and firm performance and finds that the strength of sustainability-firm performance relationships grows over time. Findings also suggest a stronger relationship between sustainability-firm performances in manufacturing industries than in service industries. This study provides interesting insights for policymakers and companies in various economies, and it augments the understanding of the impact of sustainable supply chain practices on firm performance.
101 citations
TL;DR: A novel hybrid multiple attribute decision-making approach, which includes fuzzy analytic hierarchy process (fuzzy AHP) and gray multi-objective optimization by ratio analysis (MOORA-G), which successfully deals with the qualitative and uncertain inputs that often arise from real-world decision- making process.
96 citations
TL;DR: In this article, the authors proposed a framework to explore perceptions of fairness that include procedural and distributive approaches as antecedents, and examined embeddedness, knowledge sharing, and green innovation in the sustainable supply chain in terms of equity theory and a network scenario.
93 citations
TL;DR: There is limited research that addresses identifying processes for spare parts selection for AM, even though companies have identified this to be a key challenge in adopting AM, and seven areas for future research are identified.
Abstract: This paper reviews the literature on additive manufacturing (AM) technologies and equipment, and spare parts classification criteria to propose a systematic process for selecting spare parts which ...
66 citations
TL;DR: A novel method based on the Complex Proportional Assessment (COPRAS) with multi-criteria decision making for interval-valued intuitionistic fuzzy sets is proposed for hazardous waste recycling facility selection, which proves the validity and feasibility of the proposed approach.
64 citations
TL;DR: A novel hybrid approach, based on fuzzy theory, chance constrained programming, and goal programming approach, is developed for solving the proposed bi-objective mixed-integer linear programming model for designing a perishable pharmaceutical supply chain network under demand uncertainty.
Abstract: In this paper, a bi-objective mixed-integer linear programming model is formulated for designing a perishable pharmaceutical supply chain network under demand uncertainty The objectives of the proposed model are to simultaneously minimize the total cost of the network and lost demand amount The proposed model is multi-product and multi-period and includes simultaneous facilities location, vehicle routing, and inventory management; hence, it is considered an operational-strategic model Procurement discounts, the lifetime of products, storing products for future periods, lost demand, and soft and hard time windows are the main assumptions of the proposed model A novel hybrid approach, based on fuzzy theory, chance constrained programming, and goal programming approach, is developed for solving the proposed bi-objective model The validity of the proposed model and developed solution approach is evaluated using data from Avonex, a prefilled syringe distribution chain serving 11 health centers in Tehran The proposed model indicates that some lost sales exist, and to overcome the lost sales, the case company needs to invest a little more in addition to the initial investment of around 2 billion tomans The results obtained from implementing the model and the sensitivity analysis, using real-world data, confirm the efficiency and validity of the proposed mathematical model and solution approach
TL;DR: This study provides a new metric to quantify the SC resilience by using the stochastic programming, which measures the expected value of the SC's cost increase due to a possible disruption event during its recovery period.
TL;DR: In this paper, the authors investigated a two-echelon supply chain with one product and two members, including one manufacturer and one retailer under stochastic demand, where a quantity flexibility (QF) contract is applied where the retailer is allowed to update its primary order both downwards and upwards to share overstocking and overproduction risks between both channel members.
TL;DR: A logic-based Benders decomposition algorithm is appropriately developed as the solution methodology for a real case problem of supply chain network design inspired from a wheat distribution network in Iran that generates a network with capacity acquisition and fleet management.
Abstract: This paper considers a real case problem of supply chain network design inspired from a wheat distribution network in Iran. It generates a network with capacity acquisition and fleet management. The problem first is formulated as a mixed integer linear programming model. Then, a logic-based Benders decomposition algorithm is appropriately developed as the solution methodology. In the presented algorithm, the problem is decomposed into two models of master and subproblem. The master problem is improved by means of the preprocessing and valid inequalities. Moreover, three Benders cuts, one optimality and two feasibility cuts, are developed for the algorithm. The general and relative performance of the model and algorithm is experimentally evaluated. The wheat distribution system of Iran is considered here as the case study of this research. The model is developed based on Iran’s wheat distribution system. All the results show that the algorithm significantly outperforms the mathematical model of the case study. For example, the algorithm solves 95% of the tested instances to optimality, yet the model solves 29%.
TL;DR: In this paper, the authors combined fuzzy cognitive mapping and the system dynamics approach to develop an informed, transparent model for use in analyses of energy-change effects on the sustainability of small and medium-sized enterprises.
TL;DR: A differentiation competition between the new and remanufactured products is considered using the decentralized decisions framework with one manufacturer, one remanufacturer, and one retailer, and the properties of the equilibrium decisions are provided and the effects of parameters are investigated by using theoretical and numerical methods.
Abstract: In general, customers may perceive that qualities and reliabilities of new and remanufactured products are different, so the activities of taking back and remanufacturing used products by OEMs (Ori...
TL;DR: In this article, the authors used fuzzy cognitive mapping techniques and the system dynamics approach to carry out analyses of determinants of environmental conduct in SMEs and found that this dual methodology enriches the decision-making process as it enables SME managers and decision makers to anticipate and analyze the consequences of their environmental conduct decisions.
TL;DR: A method based on divergence measure for fuzzy sets (FSs) is proposed to evaluate the multi-criteria decision-making problems under the fuzzy atmosphere and an illustrative example of the recycling job selection problem of sustainable planning of the e-waste is presented to demonstrate the reasonableness and usefulness of the developed method.
Abstract: In the literature of information theory and fuzzy set doctrine, there exist various prominent measures of divergence; each possesses its own merits, demerits, and disciplines of applications. Divergence measure is a tool to compute the discrimination between two objects. Particularly, the idea of divergence measure for fuzzy sets is significant since it has applications in several areas viz., process control, decision making, image segmentation, and pattern recognition. In this paper, some new fuzzy divergence measures, which are generalizations of probabilistic divergence measures are introduced. Next, we review two different generalizations of the following measures. Firstly, directed divergence (Kullback–Leibler or Jeffrey invariant) and secondly, Jensen difference divergence, based on these measures, we develop a class of unified divergence measures for fuzzy sets (FSs). Then, a method based on divergence measure for fuzzy sets (FSs) is proposed to evaluate the multi-criteria decision-making (MCDM) problems under the fuzzy atmosphere. Lastly, an illustrative example of the recycling job selection problem of sustainable planning of the e-waste is presented to demonstrate the reasonableness and usefulness of the developed method.
TL;DR: This research examines cases when the retailer is a provider of promotional cost and profit, when consumer surplus is directed toward the retailer, and when both retailer and manufacturer achieve higher profits than when the manufacturer is responsible for promotionalcost and profit.
Abstract: In much of today’s competitive marketplace, consumers have the opportunity to choose where they spend their money based on their examination of a company’s corporate social responsibility. A company’s social reputation and its promotional efforts may influence consumer choice. Sustainable development is highly regarded by governments, experts, decision-makers and managers in organizations and two-level supply chains. This supply chain includes a manufacturer (acting as leader) and a retailer (acting as follower), both of whom face demand uncertainty. In this article, the cost of advertising is considered in two ways for the manufacturer and the retailer. In the first model, the retailer determines the optimal retail price and order quantity, and the manufacturer determines the optimal wholesale price and the promotional efforts value so that their profits are maximized. In the second model, the retailer determines the optimal retail price, order quantity, and promotional efforts value, and the manufacturer determines the optimal wholesale price. We will also study the impact of promotional cost sharing on the coordination of the supply chain and the issue will be further explained with numerical examples. Therefore, in this research, the simultaneous effect of increased advertising and value consumer surplus is studied We examine cases when the retailer is a provider of promotional cost and profit, when consumer surplus is directed toward the retailer, and when both retailer and manufacturer achieve higher profits than when the manufacturer is responsible for promotional cost and profit.
TL;DR: The main contribution to the field is the uncovering of net effect and the prominence level of each RL driver from each stakeholder perspective separately, and from the overall perspective (aggregated form).
Abstract: In order to reduce environmental impacts from final disposal, an interest in reverse logistics has caught the attention of both firms and academicians. However, motivational factors or drivers have to be considered to efficiently perform reverse logistics, as well as the different perspectives from stakeholders. Thus, the purpose of this study is to evaluate the interrelationship among reverse logistics drivers under the perspectives of the key stakeholders. A grey-based DEMATEL (Decision Making Trial and Evaluation Laboratory) was applied to obtain a multiple company-customer-society-government combination perspective. Experts were consulted to extract the pair-wise comparison of drivers. The most prominent drivers are from inside the organization, namely: ‘Eco-design’, ‘Long-term sustainability’, ‘Economic viability’, and ‘Reduction on material consumption and disposal cost.’ The main contribution to the field is the uncovering of net effect and the prominence level of each RL driver from each stakeholder perspective separately, and from the overall perspective (aggregated form). The uniqueness and innovation of this research relies on the fact that, as far as the authors know, no study has yet addressed RL drivers under a multidimensional view of the stakeholders, that is: company, customer, society, and Government.
TL;DR: In this article, responsible and sustainable manufacturing deals with the development of strategies, methodologies and management of competitive, agile and responsive technologies to address legislative mandates, e.g., for sustainable manufacturing.
Abstract: Responsible and sustainable manufacturing deals with the development of strategies, methodologies and management of competitive, agile and responsive technologies to address legislative mandates, e...