Y. F. Zhang

TL;DR: In this paper, the authors present an affordable solution to the shop-floor problems by using wireless manufacturing (WM)-an emerging advanced manufacturing technology (AMT), which relies substantially on wireless devices such as radio frequency identification(RFID) auto ID sensors and wireless information networks for the collection and synchronization of the real-time field data from manufacturing workshops.

TL;DR: This paper contributes to the re-vitalization of RFID efforts in manufacturing industries by presenting a real-life case study of applying RFID for managing material distribution in a complex assembly shop-floor at a large air conditioner manufacturer.

TL;DR: In this paper, a mold and die production service system (MPSS) framework is established based on recent developments within industrial collaborators, and an Information and Collaboration Platform that enables MPSS is presented.

TL;DR: A genetic algorithm is used to obtain near-optimal schedules mainly by minimising the makespan and the proposed model and solution algorithm are applied to solve the problem in the collaborating company under a set of complicated rules and constraints.

TL;DR: In this paper, a hybrid flow shop scheduling problem where jobs are organized in families according to their machine settings and tools is considered and a metaheuristic in the form of a genetic algorithm and a heuristic is proposed to solve this problem.