An exact optimization approach for an integrated process configuration, lot-sizing, and scheduling problem

DOI10.1016/j.cor.2018.10.005zbMath1458.90345OpenAlexW2897116861WikidataQ129105112 ScholiaQ129105112MaRDI QIDQ1634095

Yossiri Adulyasak, Karim Pérez Martínez, Eli Angela Vitor Toso, Raf Jans, Reinaldo Morabito

Publication date: 17 December 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2018.10.005

zbMATH Keywords

logic-based Benders decompositionlot-sizing and schedulingprocess configurationbranch-and-checkmolded pulp industry

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Production models (90B30)

Related Items (6)

Formulations and theoretical analysis of the one-dimensional multi-period cutting stock problem with setup cost ⋮ Minimizing setups and waste when printing labels of consumer goods ⋮ A mixed-integer programming model for an integrated production planning problem with preventive maintenance in the pulp and paper industry ⋮ Logic-Based Benders Decomposition for Integrated Process Configuration and Production Planning Problems ⋮ Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup ⋮ Multi-echelon supply chains with lead times and uncertain demands. A lot-sizing formulation and solutions

Cites Work

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• Combined planning and scheduling in a divergent production system with co-production: a case study in the lumber industry
• Classification and literature review of integrated lot-sizing and cutting stock problems
• The general lotsizing and scheduling problem
• Logic-based Benders decomposition
• Logic based Benders' decomposition for orthogonal stock cutting problems
• Combinatorial Benders' Cuts for the Strip Packing Problem
• Planning and Scheduling by Logic-Based Benders Decomposition
• COMBINING PROCESS SELECTION AND LOT SIZING MODELS FOR PRODUCTION SCHEDULING OF ELECTROFUSED GRAINS
• Computational Complexity of the Capacitated Lot Size Problem

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