Agility

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S G Deshmukh - One of the best experts on this subject based on the ideXlab platform.

  • what s the buzz about moving from lean to agile integrated supply chains a fuzzy intelligent agent based approach
    International Journal of Production Research, 2008
    Co-Authors: Vipul Jain, Lyes Benyoucef, S G Deshmukh
    Abstract:

    The ability to build lean and agile supply chains has not developed as rapidly as anticipated, because the development of technology to manage such concepts of lean/agile for integrated supply chains is still under way. Also, due to ill-defined and vague indicators, which exist within leanness/Agility assessment, many measures are described subjectively by linguistic terms, which are characterized by vagueness and multi-possibility, and the conventional assessment approaches cannot suitably or effectively handle such dynamic situations. In this paper, we propose a novel approach to model Agility (which includes leanness) and introduce dynamic Agility level index (DALi) through fuzzy intelligent agents. Generally, it is difficult to emulate human decision making if the recommendations of the agents are provided as crisp, numerical values. The multiple intelligent agents used in this study communicate their recommendation as fuzzy numbers to accommodate ambiguity in the opinion and the data used for modelli...

  • A new approach for evaluating Agility in supply chains using fuzzy association rules mining
    Engineering Applications of Artificial Intelligence, 2008
    Co-Authors: Vipul Jain, Lyes Benyoucef, S G Deshmukh
    Abstract:

    Besides its effectiveness, supply chain management (SCM) is a complex process because of the stochastic and dynamic nature, multi-criterion and ever-increasing complexity of supply chains. Furthermore, companies have realized that Agility is essential for their survival and competitiveness. Consequently, there is no generally accepted method by researchers and practitioners for designing, operating and evaluating agile supply chains. Moreover, the ability to build agile supply chain has developed more slowly than anticipated, because technology for managing agile supply chain is still being developed. Therefore, in this paper, we develop a new approach based on Fuzzy Association Rule Mining to support the decision makers by enhancing the flexibility in making decisions for evaluating Agility with both tangibles and intangibles attributes/criteria such as Flexibility, Profitability, Quality, Innovativeness, Pro-activity, Speed of response, Cost and Robustness. Also, by checking the fuzzy classification rules, the goal of knowledge acquisition can be achieved in a framework in which evaluation of Agility could be established without constraints, and consequently checked and compared in several details. Efficacy and intricacy of the proposed approach for finding fuzzy association rules from the database for evaluating Agility is demonstrated with the help of a numerical example.

Jose Moragonzalez - One of the best experts on this subject based on the ideXlab platform.

  • physical fitness physical activity and the executive function in children with overweight and obesity
    The Journal of Pediatrics, 2019
    Co-Authors: Jose Moragonzalez, Irene Estebancornejo, Cristina Cadenassanchez, Jairo H Migueles, Pablo Molinagarcia, Maria Rodriguezayllon, Pontus Henriksson, Matthew B Pontifex, Andres Catena
    Abstract:

    Objective To examine the associations of physical fitness and physical activity with executive function in children with overweight and obesity. Study design A cross-sectional study involving 100 children with overweight and obesity (10.1 ± 1.1 years old; 58.0% boys). We assessed physical fitness components (ie, muscular strength, speed-Agility, and cardiorespiratory fitness) using the ALPHA battery, and physical activity and sedentary time by accelerometry. Cognitive flexibility was measured by the Design Fluency Test and Trail Making Test, inhibition by the Stroop test, and planning ability by the Zoo Map Test. Results Handgrip strength was positively associated with planning ability (P = .025). Speed-Agility was positively related to cognitive flexibility and inhibition (P  Conclusions Muscular strength, speed Agility, and cardiorespiratory fitness are associated with executive function in children with overweight and obesity. Cognitive flexibility seems to be more robustly associated with all fitness components, whereas planning ability and inhibition might depend on the component analyzed. The positive associations found in the present study in children with overweight and obesity call for more exercise-based randomized controlled trials in this population.

Vipul Jain - One of the best experts on this subject based on the ideXlab platform.

  • New Approaches for Modeling and Evaluating Agility in Integrated Supply Chains
    'IntechOpen', 2021
    Co-Authors: Vipul Jain, Lyes Benyoucef
    Abstract:

    The ability to build lean and agile supply chains has not developed as rapidly as anticipated, because the development of technologies/techniques/approaches to manage such concepts of lean/agile for integrated supply chains is still under way. Also, due to ill-defined and vague indicators, which exist within leanness/Agility assessment, many measures are described subjectively by linguistic terms, which are characterized by vagueness and multipossibility, and the conventional assessment approaches cannot suitably nor effectively handle such dynamic situations. In this chapter, firstly, we present a novel approach to model Agility and introduce Dynamic Agility Index through fuzzy intelligent agents The proposed approach concentrates on the application of linguistic approximating, fuzzy arithmetic and agent technology is developed to address the issue of Agility measuring, stressing the multi-possibility and ambiguity of Agility capability measurement. Secondly, we discuss a novel approach based on Fuzzy Association Rule Mining incorporating fuzzy framework coupled with rules mining algorithm to support the decision makers by enhancing the flexibility in making decisions for evaluating Agility with both tangibles and intangibles characteristics. Also, by checking the fuzzy classification rules, the goal of knowledge acquisition can be achieved for users. As a scope for future work, empirical research is required to study the application of the proposed approaches and to characterize Agility in integrated supply chains. Multifunctional workforce and their performance evaluation should also be studied as a scope for further research

  • what s the buzz about moving from lean to agile integrated supply chains a fuzzy intelligent agent based approach
    International Journal of Production Research, 2008
    Co-Authors: Vipul Jain, Lyes Benyoucef, S G Deshmukh
    Abstract:

    The ability to build lean and agile supply chains has not developed as rapidly as anticipated, because the development of technology to manage such concepts of lean/agile for integrated supply chains is still under way. Also, due to ill-defined and vague indicators, which exist within leanness/Agility assessment, many measures are described subjectively by linguistic terms, which are characterized by vagueness and multi-possibility, and the conventional assessment approaches cannot suitably or effectively handle such dynamic situations. In this paper, we propose a novel approach to model Agility (which includes leanness) and introduce dynamic Agility level index (DALi) through fuzzy intelligent agents. Generally, it is difficult to emulate human decision making if the recommendations of the agents are provided as crisp, numerical values. The multiple intelligent agents used in this study communicate their recommendation as fuzzy numbers to accommodate ambiguity in the opinion and the data used for modelli...

  • A new approach for evaluating Agility in supply chains using fuzzy association rules mining
    Engineering Applications of Artificial Intelligence, 2008
    Co-Authors: Vipul Jain, Lyes Benyoucef, S G Deshmukh
    Abstract:

    Besides its effectiveness, supply chain management (SCM) is a complex process because of the stochastic and dynamic nature, multi-criterion and ever-increasing complexity of supply chains. Furthermore, companies have realized that Agility is essential for their survival and competitiveness. Consequently, there is no generally accepted method by researchers and practitioners for designing, operating and evaluating agile supply chains. Moreover, the ability to build agile supply chain has developed more slowly than anticipated, because technology for managing agile supply chain is still being developed. Therefore, in this paper, we develop a new approach based on Fuzzy Association Rule Mining to support the decision makers by enhancing the flexibility in making decisions for evaluating Agility with both tangibles and intangibles attributes/criteria such as Flexibility, Profitability, Quality, Innovativeness, Pro-activity, Speed of response, Cost and Robustness. Also, by checking the fuzzy classification rules, the goal of knowledge acquisition can be achieved in a framework in which evaluation of Agility could be established without constraints, and consequently checked and compared in several details. Efficacy and intricacy of the proposed approach for finding fuzzy association rules from the database for evaluating Agility is demonstrated with the help of a numerical example.

Andres Catena - One of the best experts on this subject based on the ideXlab platform.

  • physical fitness physical activity and the executive function in children with overweight and obesity
    The Journal of Pediatrics, 2019
    Co-Authors: Jose Moragonzalez, Irene Estebancornejo, Cristina Cadenassanchez, Jairo H Migueles, Pablo Molinagarcia, Maria Rodriguezayllon, Pontus Henriksson, Matthew B Pontifex, Andres Catena
    Abstract:

    Objective To examine the associations of physical fitness and physical activity with executive function in children with overweight and obesity. Study design A cross-sectional study involving 100 children with overweight and obesity (10.1 ± 1.1 years old; 58.0% boys). We assessed physical fitness components (ie, muscular strength, speed-Agility, and cardiorespiratory fitness) using the ALPHA battery, and physical activity and sedentary time by accelerometry. Cognitive flexibility was measured by the Design Fluency Test and Trail Making Test, inhibition by the Stroop test, and planning ability by the Zoo Map Test. Results Handgrip strength was positively associated with planning ability (P = .025). Speed-Agility was positively related to cognitive flexibility and inhibition (P  Conclusions Muscular strength, speed Agility, and cardiorespiratory fitness are associated with executive function in children with overweight and obesity. Cognitive flexibility seems to be more robustly associated with all fitness components, whereas planning ability and inhibition might depend on the component analyzed. The positive associations found in the present study in children with overweight and obesity call for more exercise-based randomized controlled trials in this population.

Nagesh N Murthy - One of the best experts on this subject based on the ideXlab platform.

  • the antecedents of supply chain Agility of a firm scale development and model testing
    Journal of Operations Management, 2006
    Co-Authors: Patricia M Swafford, Soumen Ghosh, Nagesh N Murthy
    Abstract:

    Abstract In a constantly changing global competitive environment, an organization's supply chain Agility directly impacts its ability to produce, and deliver innovative products to their customers in a timely and cost effective manner. While the beneficial impact of supply chain Agility is generally acknowledged, very little research exists to date addressing how an organization can achieve supply chain Agility. This study first presents a framework of an organization's supply chain process flexibilities as an important antecedent of its supply chain Agility, and then establishes the key factors that determine the flexibility attributes of the three critical processes of the supply chain—procurement/sourcing, manufacturing, and distribution/logistics. Using empirical data, we develop flexibility and Agility scales related to our supply chain Agility model, and then test the model. Findings reveal that supply chain Agility of a firm is directly and positively impacted by the degree of flexibility present in the manufacturing and procurement/sourcing processes of the supply chain; while it is indirectly impacted by the level of flexibility within its distribution/logistics process. The results also support our view that a firm's supply chain Agility is impacted by the synergy among the three process flexibilities in its internal supply chain.