Overview

Authors:

• Wieslaw Kubiak⁰

1. Wieslaw Kubiak

   1. Memorial University of Newfoundland, St. John’s, Canada
      

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This book provides an in-depth presentation of algorithms for and complexity of open shop scheduling. Open shops allow operations of a job to be executed in any order, contrary to flow and job shops where the order is pre-specified. The author brings the field up to date with more emphasis on new and recent results, and connections with graph edge coloring and mathematical programming. The book explores applications to production and operations management, wireless network scheduling, and timetabling. 

The book is addressed to researchers, graduate students, and practitioners in Operations Research, Operations Management, computer science and mathematics, who are developing and using mathematical approaches to applications in manufacturing, services and distributed wireless network scheduling.

• open shops
• complexity
• algorithms
• approximation
• NP-hardness
• inapproximability
• edge coloring
• multiprocessor operations
• timetabling
• compact schedules
• wireless networks
• concurrent open shops
• time lags
• no-wait schedules
• proportionate open shops
• integer linear programming
• network flows
• bipartite graphs
• simultaneity constraints
• deficiency

• Memorial University of Newfoundland, St. John’s, Canada

  Wieslaw Kubiak

Wieslaw Kubiak is University Research Professor at the Faculty of Business Administration, Memorial University, Newfoundland, Canada. His research focuses on co-operation and optimization in networks and supply chains, proportional fairness, just-in-time systems and scheduling theory. His professional interests include business analytics, operations strategy, intelligent optimization strategies for business and industry with multiple stakeholders and conflicting interests, and health-care engineering. 

Dr. Kubiak is also an Associate Editor for the journals Discrete Applied Mathematics, INFOR, andAlgorithms and is on the editorial board of Decision-Making in Manufacturing and Services.

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