Labor and machine sizing through a Simulation-Expert-System-based Approach

Masmoudi, Wassim; Chtourou, Hédi; Maalej, Aref

doi:10.1016/j.simpat.2006.10.001

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…Moreover, some studies developed approaches combining simulation and analytical methods to find out satisfying results (not optimal ones). Due to the effectiveness of this combination, [21] used an expert system simulation approach called "SESA" to look for the optimal number of two types of resources simultaneously: machines and labor. In fact, this work considers the stochastic and dynamic aspects.…”

Section: Used Methodsmentioning

confidence: 99%

“…However, one of the gaps in these studies is the absence of a correlation between the three types problems related to the selection of machines, of labor (operators) and of MHS components, which affect one another. [20,21] Recently, some studies have combined machine and labor selection problems but without considering the MHS fleet sizing problem. For example, [20] used a simulation tool to size an effective automobile manufacturing process.…”

Section: Mhs Fleet Sizingmentioning

confidence: 99%

“…The aim is to enhance the system throughput by determining the required number of repair stations, labor, machines and the best plan configuration. More recently, [21] has sized a functional MS to determine the required number of machines and employees that enhance the overall system performances for the purpose of respecting the Due Date (DD).…”

Section: Mhs Fleet Sizingmentioning

confidence: 99%

“…In an earlier work, [21] extended the application domain of SESA to select the optimal number of both machines and labor in a functional manufacturing system. This extension has already involved changes both in simulation model (see Figure 4) and ES interface (see Figure 5).…”

Section: Enlargement Of Sesa Application Domainmentioning

confidence: 99%

“…The confines of SESA developed by [21] is the neglect of the transfer network and MHS constraints when sizing MS component resources. In fact, MHS is significant in MS that has an effect on the system performance [24].…”

Section: Enlargement Of Sesa Application Domainmentioning

confidence: 99%

See 4 more Smart Citations

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

Imen¹,

Masmoudi²,

Elleuch³

et al. 2019

Adv. sci. technol. eng. syst. j.

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Manufacturing System (MS) sizing is a crucial task to complete in order to obtain the desired MS performance and efficiency. It involves selecting the required number of resources from each used type in a given planning horizon. In fact, different approaches coupling simulation/optimization tools have been developed to solve this issue and evaluate the MS performance. One of these approaches is the Simulation Expert System Approach (SESA). Unfortunately, the application domain of this approach is limited in sizing only the production resources (machines and labor) but neglects the material handling system (MHS) components. Moreover, omitting the transferring problem is not viable in the real world due to its importance in each shop floor. Thus, the aim of this paper is to describe the evolution of SESA, then, to check if the simulation optimization tools used in SESA are still relevant. This paper also investigates the importance of incorporating MHS in this approach and finally proposes some improvement opportunities for SESA including the tackling of the MHS fleet sizing problem. In fact, the wide literature review performed in this research indicates that SESA is still a pertinent approach but it must be improved. Therefore, it is expected that SESA improvement opportunities proposed in this work will greatly assist industrialists in enhancing the overall MS performance, providing a significant productivity increase and a minimization of the total production costs.

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Section: Used Methodsmentioning

confidence: 99%