A major problem in production planning is to determine when to release products into production to meet forecasted requirements. Recently, Riaño et al. (2002) proposed the Stochastic Production Planning (SPP) model for a multiperiod, multi-product system, where the lead time to produce a product may be random. The model determines release times for the products that ensure the requirements in e...

Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...

this article, by leaving pre-determined membership function of a fuzzy set which is a basic assumption for such subject, will try to propose a hybrid technique to select the most economic project among alternative projects in fuzziness interest rates condition. in this way, net present worth (npw) would be the economic indicator. this article tries to challenge the assumption of large sample si...

This study presents a reduction of production disturbances of a shoemaking industry through discrete event simulation approach. The study is conducted at Peacock Shoe factory found in Addis Ababa, Ethiopia.  This factory faces line balancing problem that becomes production disturbance for its assembly lines. Detail time study is carried out for the selected shoe model using stopwatch. Assembly ...

Discrete event simulation is an important system analysis technique. But for today’s demand for speed, the time to complete a simulation study is considered to be long, even with current developments in hardware and simulation software. In this scenario, simplification methods for simulation models could play a key role. This paper proposes a technique for reducing the complexity of a discrete ...

This work aims to improve simulation performance by introducing fuzzy logic in the discrete event simulation. This paper attempts to develop a new approach to assess the duration of dynamical systems, especially the natural processes. To do, we have used the fuzzy logic theory and particularly the fuzzy inference system combined to the discrete event simulation (DEVS). The process simulation is...

This article, by leaving pre-determined membership function of a fuzzy set which is a basic assumption for such subject, will try to propose a hybrid technique to select the most economic project among alternative projects in fuzziness interest rates condition. In this way, net present worth (NPW) would be the economic indicator. This article tries to challenge the assumption of large sample si...