Planning and Scheduling Optimization

doi:10.3390/books978-3-0365-2338-5

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Planning and Scheduling Optimization

Edited by

November 2021

344 pages

ISBN978-3-0365-2337-8 (Hardback)
ISBN978-3-0365-2338-5 (PDF)

https://doi.org/10.3390/books978-3-0365-2338-5

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This book is a reprint of the Special Issue Planning and Scheduling Optimization that was published in

Biology & Life Sciences

Chemistry & Materials Science

Computer Science & Mathematics

Engineering

Environmental & Earth Sciences

Physical Sciences

Summary

Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization.

The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.

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Keywords

supply chain optimization; oil and gas supply chain; maintenance scheduling; operation planning; energy; order picking; wave planning; warehouses; distribution centers; mixed integer programming; non-linear programming; Hadi-Vencheh model; multiple criteria ABC inventory classification; nonlinear weighted product model; building material distributors; central composite design (CCD); Box–Behnken design (BBD); optimal cost; customer service level; forecasting; order planning; inventory management; resource-constrained project scheduling problem; discounted cash flow maximization; milestones payments; simulated annealing algorithm; slotting; order picking; storage strategies; stackability; SKU; product family; heuristic; metaheuristics; scheduling; injection molding; hospital catering; production scheduling; flexible job shop problem; mathematical model; genetic algorithm; local search method; iterated local search algorithm; competitive hub location problem; network design; food systems; rural development; mathematical programming; crow search; genetic algorithm; process planning; operation sequencing; precedence constraints; manufacturing scheduling; smart manufacturing; intelligent manufacturing systems; scheduling requirements; cyber-physical production systems; postman delivery; vehicle routing problem; particle swarm optimization algorithm; differential evolution algorithm; multi-criteria optimization; simulation optimization; production control; multiple flexible job shop scheduling; priority rules; smart health care systems; planning; scheduling; logistic systems; benchmark; workload balancing; identical parallel machines; normalized sum of square for workload deviations; maximum completion time; minimum completion time; mathematical programming; terminal location; intermodal transportation; simulated annealing; mixed integer program; incomplete networks; n/a