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In this paper, a formation problem of a spacecraft with a leader in an elliptic orbit is considered, where the follower is required to track asymptotically a given periodic relative orbit.
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The design of a supply chain network can be interpreted as a coalition formation problem in a cooperative game theory and formulated as a linear production game (LPG).
This paper presents an integration of explicit uncertainty for a cell formation problem (CFP) with a dynamic condition in cellular manufacturing systems (CMS).
Mahdavi et al. (2009) designed a model for a cell formation problem in cellular manufacturing was designed for this problem.
A cluster formation problem in a CR network is formally related with four items: cluster head, cluster members, common channels between the cluster members, and the cluster gateway used for inter-cluster coordination.
This approach represents the situation as a coalition formation problem.
Several factors should be considered in a cell formation problem.
The results are illustrated by a robot formation problem.
The first and foremost is solving a cell formation problem (CFP).
For illustration purpose, a cell formation problem of five operation and five different parts with random data has been developed and given in Table 2.
A mixed integer linear programming (MILP) model, which considers a classical cell formation problem in Cellular Manufacturing Systems (CMSs), bridged with a production planning problem, in Hybrid Manufacturing-Remanufacturing Systems, while addressing to "reconfiguration" issues for the CMS for different production periods, has been developed.
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