Papers by Keyword: Machine Utilization

Abstract: It is generally assumed that the probability of the customer placing an order is always one, implying that customers will place orders regardless of producer quoted lead times and customer lead time expectations. As the job shops increasingly compete on the basis of the delivery speed and reputation, the relative performance of quoted versus actual realized lead times will have a strong effect on whether the customer will place future orders or not. A work study and manufacturing system analysis was conducted on the NIFOR digester screw press to study the techniques of job shop scheduling. Incessant delay in manufacturing process, job tardiness and unsatisfactory customers feedback had led to this research work. The work involves critical examination of all the resources and factors which affect the efficiency of the job shop. Machines set up times and run times were collected at each machine centre for all the components produced during the period of evaluation. The data collected were used as input data for the Gantt chart to evaluate the total actual times spent in performing each task. The work provides useful information for the development of an improved method of job scheduling for effective machine utilization so as to minimize the total time required for completion of all manufacturing tasks and reduce job tardiness.

Abstract: Most of real-life engineering problems are objectives optimization problems. In many cases objectives under consideration conflict with each other and optimizing a particular solution with respect to a single objective can result in unacceptable results with respect to the other.FMS Scheduling problem is considered as one of the most difficult NP-hard combinatorial optimization problems. Therefore, determining an optimal schedule and controlling an FMS is considered a difficult task. It is difficult for traditional optimization techniques to provide the best solution. In this paper, we propose a multi-objective genetic algorithm for effectively solving job processing FMS Scheduling problem. An attempt has been made to generate a schedule using Genetic Algorithm with Roulette Wheel Base Selection Process to minimize Total Make Span Time and to maximize machine utilization time.

Abstract: Cell formation, which involves grouping similar parts into part families and the corresponding machines into machine cells, is one of the key research issues for designing cellular manufacturing system. In this paper, a mathematical model which targets at maximizing the machine utilization and similarity of the part groups is built. A heuristic algorithm based on clustering analysis is proposed. An example is employed to illustrate the benefit of the approach and the results suggest that the proposed approach is feasible.