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Toward a resilient holistic supply chain network system: Concept, review and future direction
The recent financial crisis and other major crises have suggested that there are some strong
interactions and interdependence between several supply chains and their external …
interactions and interdependence between several supply chains and their external …
Neuroentrepreneurship: an integrative review and research agenda
There is emergent literature that converges from neuroscience and entrepreneurship
research, but the definitions and interlinkages are still inconsistent. We conduct a systematic …
research, but the definitions and interlinkages are still inconsistent. We conduct a systematic …
The application of discrete event simulation and system dynamics in the logistics and supply chain context
Discrete event simulation (DES) and system dynamics (SD) are two modelling approaches
widely used as decision support tools in logistics and supply chain management (LSCM). A …
widely used as decision support tools in logistics and supply chain management (LSCM). A …
[HTML][HTML] A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling
We propose an efficient evolutionary multi-objective optimization approach to the
capacitated facility location–allocation problem (CFLP) for solving large instances that …
capacitated facility location–allocation problem (CFLP) for solving large instances that …
Stochastic multi-objective optimization: a survey on non-scalarizing methods
Currently, stochastic optimization on the one hand and multi-objective optimization on the
other hand are rich and well-established special fields of Operations Research. Much less …
other hand are rich and well-established special fields of Operations Research. Much less …
Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical …
Simulation is a powerful tool for modeling complex systems with intricate relationships
between various entities and resources. Simulation optimization refers to methods that …
between various entities and resources. Simulation optimization refers to methods that …
A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor
J Xu, Q Liu, R Wang - Information Sciences, 2008 - Elsevier
An important issue, when ship** cost and customers demand are random fuzzy variables
in supply chain network (SCN) design problem, is to find the network strategy that can …
in supply chain network (SCN) design problem, is to find the network strategy that can …
An introduction to multiobjective simulation optimization
The multiobjective simulation optimization (MOSO) problem is a nonlinear multiobjective
optimization problem in which multiple simultaneous and conflicting objective functions can …
optimization problem in which multiple simultaneous and conflicting objective functions can …
Impacts of additive manufacturing on supply chain flow: A simulation approach in healthcare industry
Additive manufacturing (AM) can lead to innovative solutions in traditional supply chain
networks (TSCN), which contains very complicated and-hard to manage-chains. With 3D …
networks (TSCN), which contains very complicated and-hard to manage-chains. With 3D …
Stochastic multi-objective production-distribution network design using simulation-based optimization
This paper addresses the design of production-distribution networks including both supply
chain configuration and related operational decisions such as order splitting, transportation …
chain configuration and related operational decisions such as order splitting, transportation …