Bio: Vijayta Fulzele is an academic researcher from Shiv Nadar University. The author has contributed to research in topic(s): Supply chain & Performance indicator. The author has an hindex of 2, co-authored 6 publication(s) receiving 61 citation(s). Previous affiliations of Vijayta Fulzele include Indian Institutes of Technology & Indian Institute of Technology Delhi.
Topics: Supply chain, Performance indicator, Performance measurement, Evidential reasoning approach, Perishability
TL;DR: This study provides a comprehensive list of CSFs that are relevant to develop a smartphone ecosystem in India and will help decision makers to strategically focus on the main drivers of the ecosystem that requires the immediate attention of decision makers.
Abstract: Purpose – The purpose of this paper is to identify and analyze various critical success factors (CSFs) that can facilitate smartphone manufacturing in India. This paper further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them. Design/methodology/approach – A framework for a smartphone manufacturing system has been developed, wherein the hierarchical inter-relationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs. Findings – In the present research, 15 CSFs have been identified through literature review and expert opinions. The hierarchical framework developed using TISM has revealed the inter-dependencies among these CSFs. This research further categorizes CSFs into three clusters. The first clu...
Abstract: Sustainable freight transportation (SFT) and cold-chain for perishable food products are the two most prominent areas where research is tremendously growing with increasing number of publications in various reputed journals. The area of SFT for perishable products is still in the nascent stage and not much explored. There are a number of published articles in the cold chain, but only a few have addressed the issue of sustainability. Perishable products require careful handling throughout their supply chain, which often requires reefer vehicles and cold storage facilities. They need to move fast in the supply chain as their longer stay would cause more energy consumption and higher perishability losses leading to increased cost and carbon footprints. The paper analyzes existing literature on this vital problem area and attempts to derive valuable insights using a structured approach termed as literature review analytics, which involves bibliometric and network analytics. This review analyzes the articles published during 1985–2017 using a set of keywords. Some of the key findings of this study unveil (1) research on SFT of perishable items is growing rapidly; (2) among all, Italy followed by the United States is the most contributing country in this research area. Further, network analytics is used to analyze the co-occurrence network for authors and keywords.
TL;DR: It can be concluded from the study that multi-modal freight transportation has the potential to improve the sustainability of freight transportation by reducing the costs, damages, emissions, traffic congestion and by increasing the speed of delivering the shipment.
Abstract: A sustainable freight transportation system involves freight processes that are economically efficient, socially inclusive and environment friendly. For enhancing sustainability in the freight operations, mode selection is a crucial strategic decision. Therefore, the purpose of this paper is selecting the best mode, or a combination of modes based on various criteria to carry shipments from origin to destination.,This study has used an integrated grey relational analysis based intuitionistic fuzzy multi-criteria decision-making process (GRA–IFP) and fuzzy multi-objective linear programming model. Three scenarios have been developed for analyzing sensitivity of decision variables with the variations in parameters under relevant conditions. A real case of Indian third-party logistics service provider has been used to demonstrate the effectiveness of the model.,The most relevant criterion emerged out in this study for multi-mode selection problem is costs. It can be concluded from the study that multi-modal freight transportation has the potential to improve the sustainability of freight transportation by reducing the costs, damages, emissions, traffic congestion and by increasing the speed of delivering the shipment. The sensitivity analysis further shows that road is the economical mode, whereas sea and rail together are the greenest as well as socially responsible modes of transportation.,This study provides an integrated tool, which can be used by freight transporters to decide upon the sustainable modes of transportation for their various shipments.
Abstract: Sustainable freight transportation is aimed at reducing environmental emissions and social inequity along with economic inefficiency to drive the business. Lack of a continuous sustainability assessment and monitoring tool increases the reluctance of freight transporters to adopt world-class sustainability practices. This paper attempts to develop the performance index for a sustainable freight transportation system by innovatively integrating the Consensus Model (CM) with the Fuzzy Evidential Reasoning Algorithm (FERA). A CM has been used to determine the degree of importance of each Key Performance Indicators identified across three dimensions of sustainability. FERA has been used to aggregate subjective judgments with crisp quantitative values. This approach has a unique capability to handle various uncertainties related to impreciseness in decision-making. This study has demonstrated the use of an integrated approach for developing a performance index of the freight transportation system. Sensitivity Analysis of the model provides logical inferences and an understanding of the robustness of the model outputs. It can be interpreted from the results of the study that the firms with higher profitability in the market are focusing more on making their operations sustainable. A proportionate approach of firms towards the economic, environment, and societal well-being, may assist in achieving higher sustainability.
••01 Jan 2016
Abstract: Disaster is a disruption in the effective conduct of operations of an individual, system, organisation or nation. It may result into loss of infrastructure, resources and human lives. Generally, it adversely affects the economic well-being. Occurrence of many disasters till date, man-made or natural, has opened up a large number of issues that need careful attention. Recovery from a disaster, which affects human being, is a major challenge in the Humanitarian Supply Chain Management (HSCM). Even though the occurrence of these events could not have been avoided, the impact could be reduced by different means including effective functioning of HSCM. This paper presents a novel approach to identify qualitative factors of HSCM, in terms of food supply and involved logistics, and models the hierarchical relationship among these using Interpretive Structural Modelling (ISM). The purpose of this paper is to consider the factors directly affecting the relief operations within an HSCM and, also, the hierarchical order in which these factors are to be managed, based on their criticality, driving power and dependence. ISM has been applied for the identification of this order. This paper provides important insights into the management of strategic, operational and performance variables of HSCM.
TL;DR: The process of TISM is outlined and the guidelines and thumb rules are provided to check the correctness of Tism at each step to help future modellers to translate their ill-structured mental models into sound theoretical models.
Abstract: Interpretive structural modelling (ISM) has been further interpreted in the form of total interpretive structural modelling (TISM). These are graphical models that represent the hierarchical relationships and help in better and precise conceptualization and theory building. ISM only interprets the nodes in a digraph, but TISM interprets both nodes and links. The errors observed in applications of ISM and TISM reported in past have acted as motivation for this paper to provide checks and guidelines for correctness of total interpretive structural models. The paper first gives an overview of past applications of TISM. The process of TISM is first outlined and then the guidelines and thumb rules are provided to check the correctness of TISM at each step. Some typical errors in TISM models and their modifications are discussed to help future modellers to translate their ill-structured mental models into sound theoretical models. A discussion on usefulness of TISM for big data analytics for theory building is provided and future directions of research are outlined.
TL;DR: This is the first study that analyzes the inhibitors of SMED by utilizing TISM approach and highlights the significance of TISM over conventional interpretive structural modeling (ISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph.
Abstract: Purpose The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.
Abstract: This paper aims to compare the descriptive and predictive power of two classes of statistical estimation models for multimodal network flows, viz. the logit model and the neural network model. The application concerns a large data set on inter-regional European freight flows for two commodity categories (food and chemicals). After an exposition of policy issues, methodological and modelling questions and the database, a variety of experiments is carried out. The results show that in general the predictive potential of neural network models is higher than that of logit analysis. The statistical results are also used to investigate the implications of various road tax systems (e.g., e&axes) on various segments of the European road network
TL;DR: The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.
Abstract: The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.,The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.,This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.,This research focuses mainly on readiness factors for agility in healthcare sector.,Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.,In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.
Abstract: Traceability plays a vital role in the success of Halal Supply Chain (HSC) HSC revolve around the essential dimension of Halal Integrity (HI), whereas traceability is seemed to be medium to assure integrity Thus, a need is felt to identify the factors which are critical to the successful implementation of traceability in Halal Supply Chain Management (HSCM) Identified Twelve Critical Success Factors (CSFs) through an extensive review of literature and opinion of experts Further, a contextual relationship among the CSFs is developed using Total Interpretive Structure Modelling (TISM) approach and derived a model The structural model is analyzed using Fuzzy MICMAC (Matrice d’Impacts Croises-Multipication Applique and Classment-cross-impact matrix multiplication applied to classification) approach to identify the importance of CSFs by driving and dependence power The primary result indicates towards; that improving the HSCM with the higher level of Halal awareness Assuring HI will enhance the consumer satisfaction which leads to a competitive advantage for the organization Academic researchers, industrial practitioners and Supply Chain executives can understand the complex interrelationship of CSFs by visualizing the TISM It can help the management, lobbies and government to develop the policies regarding the implementation