Suchergebnisse

The development of Expeditionary Aerospace Force (EAF) operations requires rethinking of many Air Force functions. A Logistics Transformation Team, comprising Air Force and KPMG Consulting Incorporation personnel, is leading much of this transformation work. The very first step of the transformation initiatives is demand planning, which is the process of translating the war fighter's needs into executable logistics support plans and schedules. One important area that the demand planning focuses on is engine maintenance. This sub-mission is assigned to the F101 Engine Pathfinder Team, which is responsible for increasing the availability of the F101 engine. As part of the F101 Engine Pathfinder Team's effort, the focus of this thesis is to apply Modeling and Simulation (M&S), Response Surface Methodology (RSM), and Linear Programming (LP) to examine ways to reduce repair cycle time and work in process (WIP) investment for the F101 Low Pressure Turbine (LPT) rotor. We specifically evaluate a variety of job scheduling policies and spare levels.

PurposeThe purpose of this paper is to examine the use of a strategic approach (contingency planning) to minimize risk exposure to a supply chain disruption. Specifically, the relationship between several attributes of a contingency planning process and flexibility are examined.Design/methodology/approachThis effort develops a model that will provide both researchers and practitioners a means of determining the attributes with the highest relationship to flexibility. The model is then tested using multiple regression techniques.FindingsBased on the sample used in this survey, top management support, resource alignment, information technology usage, and external collaboration provide the largest contributions to flexibility. Flexibility has been shown to enhance the ability to minimize risk exposure in the event of a supply chain disruption.Research limitations/implicationsIn this research effort, the multiple regression results produced an R2 of 0.45, indicating that additional variables of interest may need to be identified and investigated. Furthermore, a wider range of respondents could make the results more generalizable.Practical implicationsThis effort will help to allow managers at multiple levels to understand the primary planning attributes to use to increase flexibility.Originality/valueThe paper develops a model that can be used to identify the specific areas that can lead to improved flexibility. Based on the model, managers, and planners can develop appropriate strategies for minimizing risk exposure in the event of a supply chain disruption.

PurposeThe purpose of the paper is to provide a conceptual/theoretical foundation to enhance the body of knowledge related to supply chain interdependence and technology‐enabled coordination.Design/methodology/approachThe paper heavily engaged itself in the theory/literature related to coordination theory, interdependence theory, interdependence, coordination and supply chain technologies to formulate the theoretical propositions.FindingsFrom the literature/theoretical bases, the paper derived a total (include sub‐components) of eight theoretical propositions related to interdependence, coordination and technology enablers.Research limitations/implicationsWhile technology enabled‐coordination is central to supply chain management, there is a lack of a prescriptive view present in the literature. By deriving insights from the rich literature related to coordination theory and interdependence theory, we provide a theoretical foundation for future research to enhance the body of knowledge related to the systematic application of technology to foster the appropriate coordination strategy.Practical implicationsAlthough empirical support is warranted, the proposed concepts related to technology‐enabled coordination offer pragmatic advice to managers.Originality/valueThe paper provides a theoretical foundation for future research to enhance the body of knowledge related to the systematic application of technology to foster the appropriate coordination strategies.

PurposeThe purpose of this study is to empirically evaluate the relationship between learning culture, workforce level, human capital and operational performance in two diverse supply chain populations, aircraft maintenance and logistics readiness.Design/methodology/approachDrawing upon competence-based view of the firm and human capital theory, this paper analyzes data from two studies.FindingsThe results provide support for the hypothesized model. Workforce level moderates the relationship between learning culture and human capital, and human capital partially mediates the relationship between learning culture and operational performance.Research limitations/implicationsThe findings have implications for behavioral supply chain management research and implications for educating and training the supply chain management workforce. While the populations represent a diverse set of logistics functions and responsibilities, the participants are all military members, which may limit generalizability.Practical implicationsThis study should help leaders understand the importance of learning culture and the perceived differences in its effect on human capital based upon workforce level.Originality/valueThis research is among the first to investigate the role of workforce level and answers a multitude of calls for research into the human side of supply chain management.