In this paper, an integrated machine scheduling withits due date setting problem has been considered. It is assumed that the machine is subject to some kind of random unavailability. Due dates should be set in an attractive and reliable manner, implying that they should be short and possible to be met. To this end, first, long due dates are penalized in the objective function. Then, for each cu...

Abstract: This paper considers an extended version of the Capacitated Arc Routing Problem (E-CARP), obtained by adding realistic constraints like prohibited turns to the basic CARP. Two integer linear models are presented, a mono-objective version and a biobjective one. A cutting plane method for the first version provides either an optimum or a lower bound that are used to benchmark a genetic ...

In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

Cellular manufacturing (CM) is one of the most important subfields in the design of manufacturing systems. As a recently emerged field of study and practice, virtual cellular manufacturing (VCM) is of enormous importance as one of the types of CM . One kind of VCM problems is VCM with alternative processing routes from which the route for processing each part should be selected. In this study, ...

We investigate the problem of approximating the Pareto set of biobjective optimization problems with a given number of solutions. This task is relevant for two reasons: (i) Pareto sets are often computationally hard so approximation is a necessary tradeoff to allow polynomial time algorithms; (ii) limiting explicitly the size of the approximation allows the decision maker to control the expecte...

The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified random sampling, the sample size must be allocated to strata in order to optimize both objectives. In this note we address, following a biobjective methodology, this allocation problem. A two-phase method is proposed to describe the set of Pareto-optimal solutions of this...

This paper proposes a biobjective continuous transportation network design problem concerning road congestion charging with the consideration of speed limit. The efficiency traffic and reduction pollution in environment are improved by designing reasonable capacity enhancement limit strategy. A bilevel programming model is developed to formulate proposed problem. first target upper optimization...