Optimizing combination of job shop scheduling and quadratic assignment problem through multi-objective decision making approach

A conceptual framework for integrating Facility Layout and Production Scheduling in Flowshop Manufacturing Cells decisions

“…Table 1 presents the current integrated layout-scheduling approaches and solution techniques found in the literature. Most of the papers address the integrated problem using mathematical programming models, where decisions are put together simultaneously and metaheuristic algorithms are mostly applied for their solution (Kazemi et al, 2012;Ranjbar and Razavi, 2012;Ripon et al, 2012;Ripon and Torresen, 2014). However, no approach was found that considers a systematic integration of extensions of these two problems, as well as complementary problems, for operational environments based on continuous improvement philosophies, such as lean manufacturing.…”

“…The authors used ILOG OPL solver and eM-Plant simulation software for the solution of the problem. (Kazemi et al, 2012) proposed a multi-objective decision-making model and genetic algorithms for optimizing the integrated problem. Other authors have approached the integration of the traditional versions of the problems (Mallikarjuna and Babu, 2018;Ranjbar and Razavi, 2012), however, no author have proposed a systematic integration between unequal-area facility layout and production scheduling decisions in CMS.…”

Quadratic assignment approach for optimization of examination scheduling

“…The assignment cost for a pair of facilities is a function of the flow between the facilities and the distance between the locations of the facilities [13]. Due to wide assortment of applications, QAP has been extensively used to formulate other practical problems such as economic problems [22], Scheduling problems [24], Timetabling problems [21], and Facility layout problems [23]. This work enhances the QAP to emulate the scheduling of examination time table such that the objective function will eliminate or reduce the rate of conflict at each assignment.…”

Nature-inspired optimization algorithms for community detection in complex networks: a review and future trends

“…Del mismo modo, se encontró que la optimización simultánea entre los problemas de layout y scheduling es más común que la integración secuencial en las publicaciones revisadas. En la optimización simultánea, los autores usualmente formulaban un modelo matemático que integraba variables del problema de secuenciación en jobshop, como son el tiempo de terminación máximo y la secuenciación de trabajos en máquinas, con las variables del problema de asignación cuadrática (quadratic assignment problem, QAP), en donde se asignaba un departamento a una locación dentro de la representación discreta de la planta(Kazemi et al, 2012;K.-J. Wang & Chen, 2008).…”