A multi-objective multi-period mathematical programming model for integrated project portfolio optimization and contractor selection. [PDF]
Zahedirad M +3 more
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Integrated location–inventory planning for slow‐moving demands with waiting time limitations
Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu +4 more
wiley +1 more source
Corrigendum to "Design and analysis of UPQC in a microgrid using model reference adaptive control ensemble with back-stepping controller" [Heliyon Volume 10, Issue 14, July 2024, Article e34140]. [PDF]
Das SK +8 more
europepmc +1 more source
Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation. [PDF]
Lex JR +5 more
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Two heuristic algorithms for location-inventory-routing models involving two warehouses within multi-echelon supply chain networks. [PDF]
Dai Z, Zhou Y, Giri BC.
europepmc +1 more source
Integer programming as a powerful tool for polyclonal selection in ancient grapevine varieties. [PDF]
Surgy S, Cadima J, Gonçalves E.
europepmc +1 more source
Quantum annealing applications, challenges and limitations for optimisation problems compared to classical solvers. [PDF]
Quinton FA +4 more
europepmc +1 more source
Research on the optimization of cold chain logistics distribution routes considering time-dependent networks and simultaneous pick-up and delivery from the perspective of sustainability. [PDF]
Liu Y, Hou J, Cai C.
europepmc +1 more source
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Testing copositivity via mixed–integer linear programming
Linear Algebra and its Applications, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mixed-Integer Linear Programming Formulations
2014In this chapter, (mixed-)integer linear programming formulations of the resource-constrained project scheduling problem are presented. Standard formulations from the literature and newly proposed formulations are classified according to their size in function of the input data.
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