A Hybrid Biobjective Markov Chain Based Optimization Model for Sustainable Aggregate Production Planning

This research addresses the sustainable aggregate production planning problem by considering the outsourcing option and workforce skill levels as well as taking a Markov process approach for the inventory level. For this purpose, a hybrid biobjective mixed-integer nonlinear programming model featuri...

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Veröffentlicht in:	IEEE transactions on engineering management Jg. 71; S. 4273 - 4283
Hauptverfasser:	Tirkolaee, Erfan Babaee, Aydin, Nadi Serhan, Mahdavi, Iraj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aggregate planning Biobjective mixed-integer nonlinear programming (BOMINLP) Costs Inventory Markov analysis markov chain Markov chains Markov processes Mathematical models Mixed integer Nonlinear programming Numerical models Optimization models Outsourcing Parameter sensitivity Planning Production Production planning Resource allocation Sensitivity analysis stochastic process Stochastic processes sustainable aggregate production planning (APP) System dynamics Uncertainty Workforce planning
ISSN:	0018-9391, 1558-0040
Online-Zugang:	Volltext
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