THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Smart Manufacturing and Industry 4.0 production environments integrate the physical and decisional aspects of manufacturing processes into autonomous and decentralised systems. One of the main aspe...

Industry 4.0: Smart Scheduling

In various flow shop scheduling problems, it is very common that a machine suffers from breakdowns. Under this situation, a robust and stable suboptimal scheduling solution is of more practical interest than a global optimal solution that is sensitive to environmental changes. However, blocking lot-streaming flow shop (BLSFS) scheduling problems with machine breakdowns have not yet been well studied up to date. This paper presents, for the first time, a multiobjective model of the above problem including robustness and stability criteria. Based on this model, an evolutionary multiobjective robust scheduling algorithm is suggested, in which solutions obtained by a variant of single-objective heuristic are incorporated into population initialization and two novel crossover operators are proposed to take advantage of nondominated solutions. In addition, a rescheduling strategy based on the local search is presented to further reduce the negative influence resulted from machine breakdowns.The proposed algorithm is applied to 22 test sets, and compared with the state-of-the-art algorithms without machine breakdowns. Our empirical results demonstrate that the proposed algorithm can effectively tackle BLSFS scheduling problems in the presence of machine breakdowns by obtaining scheduling strategies that are robust and stable.

Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns

A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry

A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems

Almost all manufacturing facilities need to use production planning and scheduling systems to increase productivity and to reduce production costs. Real-life production operations are subject to a large number of unexpected disruptions that may invalidate the original schedules. In these cases, rescheduling is essential to minimise the impact on the performance of the system. In this work we consider flow shop layouts that have seldom been studied in the rescheduling literature. We generate and employ three types of disruption that interrupt the original schedules simultaneously. We develop rescheduling algorithms to finally accomplish the twofold objective of establishing a standard framework on the one hand, and proposing rescheduling methods that seek a good trade-off between schedule quality and stability on the other.

/pdf/flow-shop-rescheduling-under-different-types-of-disruption-2f7amalfk5.pdf

Flow shop rescheduling under different types of disruption

Production planning and scheduling systems are pervasive in manufacturing systems to increase productivity, variety and customization without incurring in high costs. A large number of impromptu disruptions frequently affect the scheduled operations and invalidate the original schedules. Rescheduling actions have to be triggered in order to reduce the impact on the performance of the system. A large body of research covering miscellaneous problem characteristics can be found in the scheduling literature. Even so, the application of scheduling techniques is still infrequent in real-life scheduling problems. In this work we generate eight types of disruptions that affect the original schedules simultaneously. We apply three rescheduling methods and compare their results with simple rule based repair actions typically employed in production environments. Statistical analysis is used to demonstrate that the proposed methods outperform the rule based approaches by a significant margin, highlighting their effectiveness in real life manufacturing settings.

http://ieeexplore.ieee.org/iel7/7368810/7380113/07380141.pdf

Rescheduling flowshops under simultaneous disruptions

En un taller de flujo de permutacion tenemos un conjunto N de trabajos, N = {1,..., n}, a procesar en un conjunto M de maquinas, M = {1,..., m}. Cada trabajo tiene que visitar todas las maquinas, siendo la secuencia de proceso la misma para todos los trabajos. La secuencia de los trabajos en las maquinas no cambia, es decir, si el trabajo 3 sigue al trabajo 5 en la primera maquina, tambien lo hara en el resto de maquinas.

/pdf/resecuenciacion-en-talleres-de-flujo-considerando-multiples-nbss86mj00.pdf

Ketrina Katragjini

Papers

Flow shop rescheduling under different types of disruption

Rescheduling flowshops under simultaneous disruptions

Resecuenciación en talleres de flujo considerando múltiples eventos