The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for
operations management with the aim of finding solutions to problems that are increasing in …

The real life scheduling problems often have several uncertainties. The solutions of these
problems can provide deeper insights to the decision maker than those of deterministic …

In this paper, we consider single machine scheduling problems under position-dependent
fuzzy learning effect with fuzzy processing times. We study three objectives which are to …

In this paper we investigate leader election protocols for single-hop radio networks from the
perspective of energetic complexity. We discuss different models of energy consumption and …

In this paper a possibilistic approach to sequencing is proposed. For each parameter, whose
value is not precisely known, a possibility distribution is given. The objective is to calculate a …

To solve the kitting problem appearing in the process of job shop scheduling in multi-product
mixed manufacturing workshops, based on the fuzzy set theory, a job shop scheduling fuzzy …

In this paper a general formulation of a fuzzy single machine scheduling problem is
proposed. Such notions as schedule, precedence relation and cost function in the fuzzy …

This paper proposes a single machine/processor scheduling problem considering uncertain
processing times under job deterioration and learning effect. In order to express uncertainty …

This paper seeks to determine the feasibility of using fuzzy concepts in conjunction with
genetic algorithms to solve multi-objective single machine scheduling considering both …

This chapter is on scope and problems of manufacturing management (MM), contexts and
uncertainty in MM, intelligent approaches in project management, inventory management …