A hybrid biobjective markov chain based optimization model for sustainable aggregate production planning
Yükleniyor...
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 featuring a continuous-time Markov chain to accommodate the inventory decision process is developed. The proposed Markov chain approach efficiently describes system dynamics modeling of the production system through a stochastic process. The objective functions are to minimize total cost and total environmental pollution at the same time. To validate the applicability of the methodology and to evaluate the model complexity, three numerical examples are generated based on one of the previous studies in the literature. It is demonstrated that the suggested methodology is able to come up with the final feasible solution based on optimal inventory decisions in less than 65 s. Finally, a number of sensitivity analyses are presented to study the behavior of the objectives under real-world instability and discuss the practical implications and managerial insights. As one of the main findings, it is revealed that the objective functions have no sensitivity to some change intervals of the parameters, which can be analyzed more earnestly by the management in case of the resource allocation process.
Açıklama
Anahtar Kelimeler
Production, Mathematical Models, Markov Processes, Costs, Numerical Models, Uncertainty, Planning, Biobjective Mixed-İnteger Nonlinear Programming (BOMINLP), Markov Chain, Outsourcing, Stochastic Process, Sustainable Aggregate Production Planning (APP)
Kaynak
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
Sayı
Künye
Tirkolaee, E. B., Aydin, N. S., & Mahdavi, I. (2022). A Hybrid Biobjective Markov Chain Based Optimization Model for Sustainable Aggregate Production Planning. IEEE Transactions on Engineering Management.
