Treffer: Scheduling Theory and Algorithms for Sustainable Manufacturing
Title:
Scheduling Theory and Algorithms for Sustainable Manufacturing
Contributors:
Dolgui, Alexandre, Lemoine, David, Restrepo, María I., Werner, Frank
Publisher Information:
MDPI - Multidisciplinary Digital Publishing Institute
Publication Year:
2025
Collection:
Directory of Open Access Books (DOAB)
Subject Terms:
product-driven, nervousness, schedule, planning, intelligent product, agent-based model, holonic manufacturing system, slime mold algorithm, fair scheduling, Bernoulli mapping, reverse learning, Cauchy mutation, heuristics, scheduling algorithms, constraint satisfaction problems, resource allocation, co-activity conflict mitigation, many-objective optimization, ideal stock optimization, sustainable supply chain, stock management, cost-effective logistics, photovoltaic sets, multi-criteria decision making, micro solar generation, generation optimisation, sustainable scheduling, fleet of drones, maximizing the environmental benefit, polynomial-time algorithm
Document Type:
other/unknown material
File Description:
image/jpeg
Language:
English
Relation:
ONIX_20250812T095121_9783725831647_59; https://mdpi.com/books; https://mdpi.com/books/pdfview/book/10482
Availability:
Rights:
open access
Accession Number:
edsbas.763FD193
Database:
BASE
Weitere Informationen
This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models and algorithms for different sustainability issues are proposed to optimize energy consumption and achieve environmental benefits and resilience, as well as demonstrate how to reduce the cost of installing photovoltaic systems, organize sustainable inventory management, etc.