A benchmark dataset for multi-objective flexible job shop cell scheduling.

This data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent family setup and intercellular transportation times, and recirculation requiring minimization of makespan and total tardiness simultaneously. It is called a flexible job shop cell scheduling problem with sequence-dependent family setup times and intercellular transportation times (FJCS-SDFSTs-ITTs) problem.

Optimization of self-colored dental zirconia block parameters for an effective machining performance using response surface methodology based artificial bee colony.

Objectives: Self-colored dental zirconia blocks eliminate the drawbacks of the coloring process of traditional blocks and ensure disposal time and cost in dental prosthesis laboratories. Like traditional dental zirconia frameworks, self-colored dental zirconia frameworks are produced by grinding pre-sintered zirconia blocks via manual or CAD/CAM operating devices. The process parameters such as powder type, pre-sintering temperature and doping amount of coloring powder affect the machining performance of blocks through microhardness, bulk density and shrinkage values (diameter and thickness) during fabrication.