In this paper, scheduling problems in Flexible Manufacturing Cells (FMC) are studied. The scheduling objective is to minimize the makespan. We used a genetic algorithm (GA) for solving the optimization scheduling problem. We have developed one FMC with industrial characteristics with the objective of studying scheduling problems in these types of manufacturing systems (single machine scheduling...

To effectively solve the permutation flow-shop scheduling problem (PFSP), an adaptive dynamic neighborhood crow search algorithm (AdnCSA) is proposed to minimize makespan. Firstly, a modified heuristic based on nawaz-enscore-ham (NEH) was improve quality and diversity of initial population. Secondly, smallest-position-value (SPV) rule used encode population so that it can handle discrete proble...

Abstract The distributed manufacturing has become a prevail production mode under the economic globalization. In this article, memetic discrete differential evolution (MDDE) algorithm is proposed to address permutation flow shop scheduling problem (DPFSP) with minimization of makespan. An enhanced NEH (Nawaz–Enscore–Ham) method presented produce potential candidate solutions and Taillard’s acce...

resource limitation in zero time may cause to some profitable projects not to be selected in project selection problem, thus simultaneous project portfolio selection and scheduling problem has received significant attention. in this study, budget, investment costs and earnings are considered to be stochastic. the objectives are maximizing net present values of selected projects and minimizing v...