Stochastic cycles for modelling workload distributions in military headquarters

نویسنده

  • A. C. Kalloniatis
چکیده

Military headquarters coordinate planning and monitoring of military task forces in support of an overall commander. Despite advances in technology, these organisations remain human intensive. Adequately staffing a headquarters is challenging in resource constrained environments where senior decision-makers must also consider the manpower needs of deployed task forces together with their training and sustainment. At MODSIM09 we presented a high level workload model based on competition between irregular linear business processes (triggered by unpredictable external events) and regular cyclic routines that follow a headquarters ‘Battle Rhythm’. We extend this representation here by modelling a richer spectrum of activities to higher fidelity and unifying the treatment of their timing by spanning the range between irregular and regular. We call this the ‘Stochastic Cycles’ approach and demonstrate its utility by modelling planning in a hypothetical headquarters, where there are concurrent strategic, operational and logistic considerations. Using Discrete Event Simulations we show how data on Tasks, Roles and Staff for an existing headquarters enable decision-makers to explore the effect of alternative staff allocations. We discuss the advantages and disadvantages of the Stochastic Cycles approach in organisational modelling.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A reliability-based maintenance technicians’ workloads optimisation model with stochastic consideration

The growing interest in technicians’ workloads research is probably associated with the recent surge in competition. This was prompted by unprecedented technological development that triggers changes in customer tastes and preferences for industrial goods. In a quest for business improvement, this worldwide intense competition in industries has stimulated theories and practical frameworks that ...

متن کامل

Subexponential Distributions

We survey the properties and uses of the class of subexponential probability distributions, paying particular attention to their use in modelling heavy-tailed data such as occurs in insurance and queueing applications. We give a detailed summary of the core theory and discuss subexponen-tiality in various contexts including extremes, random walks and L evy processes with negative drift, and sum...

متن کامل

Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks

Modelling based on probabilistic inference can be used to estimate the quality of information delivered by a military sensor network. Different modelling tools have complementary characteristics that can be leveraged to create an accurate model open to intuitive and efficient querying. In particular, stochastic process models can be used to abstract away from the physical reality by describing ...

متن کامل

Hessian Stochastic Ordering in the Family of multivariate Generalized Hyperbolic Distributions and its Applications

In this paper, random vectors following the multivariate generalized hyperbolic (GH) distribution are compared using the hessian stochastic order. This family includes the classes of symmetric and asymmetric distributions by which different behaviors of kurtosis in skewed and heavy tail data can be captured. By considering some closed convex cones and their duals, we derive some necessary and s...

متن کامل

Analysis of a Single Server Queue with Working Vacation and Vacation Interruption

In this paper, an M/M/1 queue with working vacation and vacation interruption is investigated. The server is supposed to take a working vacation whenever the system becomes empty and if there are at least N customers waiting in the system at a service completion instant, vacation interruption happens and the server resumes a normal working period. A matrix geometric approach is employed to obta...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011