Optimization of operation and changeover time for production planning and scheduling in a flexible manufacturing system

Pallet operation sequencing based on network part program logic

“…The input MWSs are the extremities of the ordered 6 sub-groups (not considering the fictitious MWSs): 18,1,19,2,20,3,8,23,12,29,34,17. These extremities are respectively renamed 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12. The fictitious MWS 0 is added to the MWSs.…”

“…Second, the proposed approach, integrating production planning aspects, copes with actual production conditions according to which it is normal to mount several workpieces and different part types on the same pallet. Indeed, the majority of the examined papers [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] are based on the hypothesis that only one workpiece is loaded on the pallet and the few papers considering more workpieces [29][30][31] seem to be valid only when the number of operations in the analysis is low. Thus, the applicability of these methods becomes strictly limited in opposition to the real production trend that aims to perform hundreds of operations on the same pallet to save the time of tool and pallet changes.…”

“…Alternative entry and exit points for each operation were evaluated. Das et al [18] treated the operation sequencing problem as part of a complete process planning approach. Compared to previous studies, their approach extended the analysis to the machining of cylinder heads in flexible production systems.…”

Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method

“…Abazari, Solimanpur and Sattari (2012) proposed a mixed linear programming model for job selection and allocation of operation in FMS to obtain the maximum utilization and profitability using GA. Chen and Ho, (2005) proposed a novel technique to production planning in FMS based on an efficient multi-objective GA (EMOGA). Das, Baki, and Li (2009) solved the production planning of FMS involving the allocation of cutting tools, part type grouping, and production planning using LINGO. Shin, Park, and Kim (2011) presented a multi-objective symbiotic evolutionary algorithm to solve the multi-objective process planning in FMS.…”

Simultaneous scheduling of machines and tools in multimachine flexible manufacturing systems using artificial immune system algorithm

“…Sureshkumar and Sridharan (2009) analysed a tool scheduling problem in FMS using various priority dispatching rules for minimising mean flow time, mean tardiness, mean waiting time for tool and percentage of tardy parts. Das, Baki, and Li (2009) analysed a tool allocation and machine loading problem in FMS using an integer programming approach with the objective of minimising tool change time, makespan and orientation change time. Their approach reduces the time taken for making the tool and the orientation change of the tool.…”