Firstly, it provided a linkage to pre-regulated policies that had to be respected when a modeling effort was undertaken; secondly, it was useful for tackling uncertainties presented as intervals probabilities; thirdly, it could facilitate dynamic analysis for decisions of facility expansions within a multi-facility, multi-period, multi-level, and multi-option context.
The IMMRIP model integrated minimax regret analysis, interval-parameter programming, and mixed-integer linear programming within a framework, which can help analyze decisions of system-capacity expansion and/or development within a multi-facility and multi-period context.
It can efficiently supports the decision making process of logistic managers and planners of large enterprises as multi-facilities companies and production distribution networks.
For the multi-facility discrete OGCLP we discuss several Integer Programming formulations and give computational results.
The continuous capacitated single-source multi-facility Weber problem with the presence of facility fixed cost is investigated.
The model, which belongs to the class of Capacitated Multi-facility Weber Problem, involves bilinear terms for the transportation costs, and nonlinear convex constraints for calculating Euclidean distances.
This network-design problem includes optimal recycling center locations and optimal flow amounts between the nodes in the multi-facility environment.
The capacitated multi-facility location problem is a complex and imprecise decision-making problem which contains both quantitative and qualitative factors.
Furthermore, this study is different from that of the general location problem in that it determines suitable types and the number of different multi-facility services (i.e. transloaders) at each of the sugarcane loading stations.
The proposed approaches are also easily adapted to cater for a recently studied variant namely the single-source capacitated multi-facility Weber problem where they outperform those recently published solution methods.
This is unrealistic especially when a two-stage assembly problem is used to simulate production systems with a multi-facilities plant and a final assembly plant.
