Production Planning and Scheduling for Lot Processing

Production Planning and Scheduling for Lot Processing

This book is dedicated to questions of production planning and scheduling activities both in general and in semiconductor manufacturing environments, which have the characteristics of high volume and high mixture. It explores topics such as shop models, work-in-process management, the treatment of setup times, basic techniques of lot batching and splitting, lot sizing and group technology approaches, as well as rescheduling questions. A number of directions for further research is suggested in the book, and a broad collection of references is provided.


Larysa Burtseva works as a Professor-Researcher at the Instituto de Ingeniería of the Universidad Autónoma de Baja California, Mexico. She obtained her PhD from the Radio-Electronics University, Ukraine, in 1989. Her research interests are discrete optimization and scheduling.

Frank Werner is a Professor at the Faculty of Mathematics of the Otto-von-Guericke University Magdeburg, Germany. He is the author of over 300 publications, and his research interests are operations research, combinatorial optimization, and scheduling.

Rainier Romero is a Professor at the Universidad Politécnica de Baja California, Mexico, having obtained his PhD in Computer Science from the Universidad Autónoma de Baja California, Mexico, in 2013. His research interests are combinatorial optimization problems, such as scheduling and bin packing.

Carmen L. Garcia-Mata is a Professor-Researcher at the Tecnológico Nacional de México-Instituto Tecnológico de Chihuahua, Mexico. She is the leader of the Artificial Intelligence Lab, and her research interests include the applicability of theories and techniques of non-monotonic reasoning to the solution of combinatorial problems.

Brenda L. Flores-Rios holds a PhD in Computer Science from the Universidad Autónoma de Baja California, Mexico, where she is a Full Professor at the Instituto de Ingeniería. Her research areas are software process improvement, knowledge engineering, and knowledge flow analysis.

Victor Yaurima received his PhD in Computer Science from the Universidad Autónoma de Baja California, Mexico, in 2008. He is currently a Full Professor at the Universidad Estatal de Sonora, Mexico.

Eddy M. Delgado-Arana works as a Project Engineer in Skyworks Solutions, Inc., where he had led many process improvement projects. His research interests include manufacturing planning systems, resource optimization, lean manufacturing, and six sigma methodology.

Felix F. Gonzalez-Navarro holds a PhD in Artificial Intelligence from the Universitat Politecnica de Catalunya, Spain. Currently, he is a Full Professor at the Universidad Autónoma de Baja California, Mexico, leading the Artificial Intelligence Lab.

Gabriel A. Lopez-Morteo is a Full Professor at the Universidad Autónoma de Baja California, Mexico. He has published more than 40 research papers and nine books.

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ISBN: 1-5275-8502-6

ISBN13: 978-1-5275-8502-7

Release Date: 1st August 2022

Pages: 405

Price: £74.99