The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform

B. Murphy - One of the best experts on this subject based on the ideXlab platform.

  • ISSRE - Reliability growth in software Products
    15th International Symposium on Software Reliability Engineering, 2004
    Co-Authors: P. Jalote, B. Murphy
    Abstract:

    Most of the software reliability growth models work under the assumption that reliability of software grows due to the bugs that cause failures being removed from the software. While correcting bugs will improve reliability, another phenomenon has often been observed - the failure rate of a software Product, as observed by the user, improves with time irrespective of whether bugs are corrected or not. Consequently, the reliability of a Product, as observed by users, varies, depending on the length of time they have been using the Product. One reason for this reliability growth is that as the users gain experience with the Product, they learn to use the Product correctly and find work-around for failure-causing situations. Another factor that affects this growth is that following the Product Installation, the user discovers that other actions may be required, like installing new drivers, upgrading other software to a compatible version, etc. to properly configure the new Product. In this paper we present a simple model to represent this phenomenon - we assume that the failure rate for a Product decays with a factor /spl alpha/ per unit time. Applying this failure rate decay model to the data collected on reported failures and number of units of the Product sold, it is possible to determine the initial failure rate, the decay factor, and the steady state failure rate of a Product. The paper provides a number of examples where this model has been applied to data captured from released Products.

  • Reliability growth in software Products
    15th International Symposium on Software Reliability Engineering, 2004
    Co-Authors: P. Jalote, B. Murphy
    Abstract:

    Most of the software reliability growth models work under the assumption that reliability of software grows due to the bugs that cause failures being removed from the software. While correcting bugs will improve reliability, another phenomenon has often been observed - the failure rate of a software Product, as observed by the user, improves with time irrespective of whether bugs are corrected or not. Consequently, the reliability of a Product, as observed by users, varies, depending on the length of time they have been using the Product. One reason for this reliability growth is that as the users gain experience with the Product, they learn to use the Product correctly and find work-around for failure-causing situations. Another factor that affects this growth is that following the Product Installation, the user discovers that other actions may be required, like installing new drivers, upgrading other software to a compatible version, etc. to properly configure the new Product. In this paper we present a simple model to represent this phenomenon - we assume that the failure rate for a Product decays with a factor /spl alpha/ per unit time. Applying this failure rate decay model to the data collected on reported failures and number of units of the Product sold, it is possible to determine the initial failure rate, the decay factor, and the steady state failure rate of a Product. The paper provides a number of examples where this model has been applied to data captured from released Products.

Sanjeev Bansal - One of the best experts on this subject based on the ideXlab platform.

  • POWERING CUSTOMER CONNECTIVITY OF ProductS WITH LAST MILE SUPPORT SERVICES: EVIDENCES FROM INDIAN PASSENGER CAR MANUFACTURING
    Brazilian journal of operations & production management, 2017
    Co-Authors: Sumeet Singh Jasial, Sanjeev Bansal
    Abstract:

    The paper highlights post-Production customer connectivity processes in an automobile manufacturing set-up. Identity of post-Production processes has been established as a unique in company service operations or pseudo-manufacturing activities. Consequently this research observes that handling these activities purely with a manufacturing focus or with a pure service focus would not be that effective. This paper in-turn proposes a new approach to powering the customer connectivity process in the last mile of a Product’s journey from manufacturing to market. The scenario has been addressed in three domains, viz., Post-Production pre-market functions, Product Installation, and Product Liabilities. Through a composite process map of the post-Production situations it captures the order winning elements  to pick up opportunities for the possible reinforcement of adding value for money in the last mile activities on the Product from company to customer.

  • Powering customer connectivity of Products with last mile support services: Evidences from Indian passenger car manufacturing
    2016 12th International Conference on Industrial Engineering (ICIE), 2016
    Co-Authors: Sumeet Singh Jasial, Sanjeev Bansal
    Abstract:

    The paper highlights post-Production customer connectivity processes in an automobile manufacturing set-up. Identity of post-Production processes has been established as a unique in- company service operations or pseudo-manufacturing activities. Consequently this research observes that handling these activities purely with a manufacturing focus or with a pure service focus would not be that effective as it would be otherwise. This paper in-turn proposes a new approach to powering the customer connectivity process in the last mile of a Product's journey from manufacturing to market. The scenario has been addressed in three domains, viz., Post-Production pre-market functions, Product Installation, and Product Liabilities. Through a composite process map of the post-Production situations it captures the order winning elements to pick up opportunities for the possible reinforcement of adding value for money in the last mile activities on the Product from company to customer.

P. Jalote - One of the best experts on this subject based on the ideXlab platform.

  • ISSRE - Reliability growth in software Products
    15th International Symposium on Software Reliability Engineering, 2004
    Co-Authors: P. Jalote, B. Murphy
    Abstract:

    Most of the software reliability growth models work under the assumption that reliability of software grows due to the bugs that cause failures being removed from the software. While correcting bugs will improve reliability, another phenomenon has often been observed - the failure rate of a software Product, as observed by the user, improves with time irrespective of whether bugs are corrected or not. Consequently, the reliability of a Product, as observed by users, varies, depending on the length of time they have been using the Product. One reason for this reliability growth is that as the users gain experience with the Product, they learn to use the Product correctly and find work-around for failure-causing situations. Another factor that affects this growth is that following the Product Installation, the user discovers that other actions may be required, like installing new drivers, upgrading other software to a compatible version, etc. to properly configure the new Product. In this paper we present a simple model to represent this phenomenon - we assume that the failure rate for a Product decays with a factor /spl alpha/ per unit time. Applying this failure rate decay model to the data collected on reported failures and number of units of the Product sold, it is possible to determine the initial failure rate, the decay factor, and the steady state failure rate of a Product. The paper provides a number of examples where this model has been applied to data captured from released Products.

  • Reliability growth in software Products
    15th International Symposium on Software Reliability Engineering, 2004
    Co-Authors: P. Jalote, B. Murphy
    Abstract:

    Most of the software reliability growth models work under the assumption that reliability of software grows due to the bugs that cause failures being removed from the software. While correcting bugs will improve reliability, another phenomenon has often been observed - the failure rate of a software Product, as observed by the user, improves with time irrespective of whether bugs are corrected or not. Consequently, the reliability of a Product, as observed by users, varies, depending on the length of time they have been using the Product. One reason for this reliability growth is that as the users gain experience with the Product, they learn to use the Product correctly and find work-around for failure-causing situations. Another factor that affects this growth is that following the Product Installation, the user discovers that other actions may be required, like installing new drivers, upgrading other software to a compatible version, etc. to properly configure the new Product. In this paper we present a simple model to represent this phenomenon - we assume that the failure rate for a Product decays with a factor /spl alpha/ per unit time. Applying this failure rate decay model to the data collected on reported failures and number of units of the Product sold, it is possible to determine the initial failure rate, the decay factor, and the steady state failure rate of a Product. The paper provides a number of examples where this model has been applied to data captured from released Products.

Sumeet Singh Jasial - One of the best experts on this subject based on the ideXlab platform.

  • POWERING CUSTOMER CONNECTIVITY OF ProductS WITH LAST MILE SUPPORT SERVICES: EVIDENCES FROM INDIAN PASSENGER CAR MANUFACTURING
    Brazilian journal of operations & production management, 2017
    Co-Authors: Sumeet Singh Jasial, Sanjeev Bansal
    Abstract:

    The paper highlights post-Production customer connectivity processes in an automobile manufacturing set-up. Identity of post-Production processes has been established as a unique in company service operations or pseudo-manufacturing activities. Consequently this research observes that handling these activities purely with a manufacturing focus or with a pure service focus would not be that effective. This paper in-turn proposes a new approach to powering the customer connectivity process in the last mile of a Product’s journey from manufacturing to market. The scenario has been addressed in three domains, viz., Post-Production pre-market functions, Product Installation, and Product Liabilities. Through a composite process map of the post-Production situations it captures the order winning elements  to pick up opportunities for the possible reinforcement of adding value for money in the last mile activities on the Product from company to customer.

  • Powering customer connectivity of Products with last mile support services: Evidences from Indian passenger car manufacturing
    2016 12th International Conference on Industrial Engineering (ICIE), 2016
    Co-Authors: Sumeet Singh Jasial, Sanjeev Bansal
    Abstract:

    The paper highlights post-Production customer connectivity processes in an automobile manufacturing set-up. Identity of post-Production processes has been established as a unique in- company service operations or pseudo-manufacturing activities. Consequently this research observes that handling these activities purely with a manufacturing focus or with a pure service focus would not be that effective as it would be otherwise. This paper in-turn proposes a new approach to powering the customer connectivity process in the last mile of a Product's journey from manufacturing to market. The scenario has been addressed in three domains, viz., Post-Production pre-market functions, Product Installation, and Product Liabilities. Through a composite process map of the post-Production situations it captures the order winning elements to pick up opportunities for the possible reinforcement of adding value for money in the last mile activities on the Product from company to customer.

Ishak Nidzamuddeen - One of the best experts on this subject based on the ideXlab platform.

  • Energy management practices and implementation in campus building
    2016
    Co-Authors: Ishak Nidzamuddeen
    Abstract:

    Energy management and efficiency in building have attracted lots of attention in recent years. Various findings, Products and systems in energy management and efficiency aspect have been produced in order to support the needs for a better and greener environment. New wave of energy management and efficiency programs nowadays not only just merely a Product Installation or specific system solution, but offer a wider approach like the management system, finding baseline energy use, benchmarking, and then only to provide reasonable return-on-investment solution. Therefore, a proper and right model of implementation should be carefully designed before implementing any energy saving measures in order to get a valid and optimized result. Thus, this research proposed a new model of energy management and efficiency system with the specific target of implementation in university campus. An energy management model is developed and findings of energy saving measures from the proposed model will be discussed. A test-bed model is also being developed in order to simulate the real energy management and efficiency in campus. Based on the energy management model and the test-bed proposed, a better result and method of energy saving implementation in campus building is obtained and proved. Finding, result and solutions based on the new model is also being discussed as to put a clear picture on the sustainable energy management purposes in campus building.