Robust supplier selection problem, in a scenario-based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss dec...

Production delays are significant problems for the loss of goodwill customers and profits associated with them. The may accrue as a result insufficient resource planning poorly designed unsatisfactory procedures. In this study, new mathematical model is proposed to optimize production processes by minimizing delays, simulation developed test alternative facility designs. purpose increase custom...

Mobile computing is characterised by variations in user needs and in the computing and communication resources. We have developed a middleware centric approach for the development of software capable of dynamically adapting to such variations. The middleware leverages models of needs and resources and the adaptation capabilities of the software and performs context monitoring, adaptation planni...

in this research optimal reconfiguration strategy of the improved srr reconfigurable mobile robot based on force-angle stability measure has been designed using genetic algorithm. path tracking nonlinear controller which keeps robot’s maximum stability has been designed and simulated in matlab. motion equations of the robot have been derived in parametric form by means of newton- euler, lagrang...

This paper presented a mixed integer programming for integrated scheduling and process planning. The presented process plan included some orders with precedence relations similar to Multiple Traveling Salesman Problem (MTSP), which was categorized as an NP-hard problem. These types of problems are also called advanced planning because of simultaneously determining the appropriate sequence and m...

This paper develops a mathematical model in dynamic virtual cellular manufacturing systems with the multiperiod cell formation problem, production planning, dynamic virtual system reconfiguration and training workers. Since workers have important role in doing jobs on machines, assignment of workers to cells becomes a crucial factor in cellular manufacturing system. Also we have shown the role ...

This paper discusses the issue of integrating production planning and preventive maintenance in manufacturing production systems. In particular, it tackles the problem of integrating production and preventive maintenance in a system composed of parallel failure-prone production lines. It is assumed that when a production line fails, a minimal repair is carried out to restore it to an ‘as-bad-as...

Distributed systems with high availability requirements have to support some form of dynamic reconfiguration. This means that they must provide the ability to be maintained or upgraded without being taken off-line. This thesis addresses the dynamic reconfiguration of distributed applications that run on top of an object-middleware infrastructure. In this context, a system configuration is defin...

Manufacturing companies are facing a broad variety of challenges caused by a dynamic production environment. To succeed in such an environment, it is crucial to minimize the loss of time required to trigger the adaptation process of a company’s production structures. This paper presents an approach for the continuous monitoring of production structures by neurologic principles. It enhances clas...