Dynamic cellular manufacturing systems,   Mixed-integer non-linear programming,   Production planning, Manufacturing attributes   This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensi...

This paper investigates the role of reliability parameter of the imperfect production system with random machine breakdown and stochastic repair time. Here I assume that shifting time of the production system from ‘in-control state’ to ‘out-control state’ and the time of machine breakdown are both random. Moreover, the machine repair time is stochastic and independent of the machine break-down ...

DC drives have hitherto been widely used in various Industrial applications but recent device technology and high speed microprocessors have tilted the balance and the induction machine is becoming the workhorse of the electrical power industry. Computer based modeling and simulation of induction machine has certainly opened new horizons for the performance analysis. A good mathematical model c...

Manycurrent online servicesneed to serve clientsdistributedacross geographic areas. These systems are subject to stringent availability and performance requirements. In order to meet these requirements, replication is used to tolerate the crash of servers and improve performance by deploying replicas near the clients. Coordinating geographically distributed replicas, however, is challenging. We...

Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discov...

An accurate average value model of synchronous machine-rectifier system considering the effect of stator resistance is derived in this paper. A proper voltage-behind-reactance synchronous machine model without any approximations is used for the generator that allows effective calculation of commutation displacement angle. All rectification modes of the rectifier are studied. A detailed switchin...

We consider the state machine replication problem in semi-synchronous systems subject to Byzantine server failures. propose a new solution form of protocol for generalized consensus problem. The solves setting which information about conflicts between transactions is available (such can be transaction read and write sets). Unlike most prior proposals (for or classical consensus), use leader ord...

We describe action machines, a framework for encoding and composing partial behavioral descriptions. Action machines encode behavior as a variation of labeled transition systems where the labels are observable activities of the described artifact and the states capture full data models. Labels may also have structure, and both labels and states may be partial with a symbolic representation of t...

We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent’s current goal schemas at various levels of a hierarchical plan. Our recognizer is based on a novel type of graphical model, a Cascading Hidden Markov Model, which allows the algorithm to do exact inference and make predictions at each level of the hierarchy in time quadratic ...

problem of generating a model to recognize any string is how to generate one that is generalized enough to accept strings with similar patterns and, at the same time, is specific enough to reject the non-target strings. This research focus on generating a model in the form of a state machine to recognize strings derived from the direction information of character's images. The state machine ind...