Special Issue "Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain"
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: closed (31 July 2019).
A printed edition of this Special Issue is available here.
Interests: operations research; nonlinear optimization; Boolean algebra; graph theory; inventory management; reliability; advanced manufacturing system; production planning and control; supply chain management; control theory; logistics
Under any competitive scenario, the application of optimization in any field of production, inventory management, supply chain management, and logistics is really important. The main task for the industries is to obtain more and more profit or to reduce costs more. Optimization may not always be linear for all fields: it can sometimes be a nonlinear but classical, or metaheuristic, or simulation technique. Those can be used to solve the research models related to abovementioned field. In any kind of production, the basic needs are human labor and machines to continue production. The main contemporary issue of the production system is that the revolution of industry effects a lot to change in the traditional production to smart or additive production management, the direction of sustainable smart production, and, finally the formation of a smart supply chain management using the perfect logistics management. Sustainability issues mainly relate to the optimum values of economic, social, and environmental effects and the logistics management is a subpart of supply chain management, which gives details of organization and the implementation of a business operation. Thus, these optimizations cannot always be improved through an analytical procedure. That can be solved by a simulation or metaheuristic approach. These recent issues should be solved under the framework of the present Special Issue.
Prof. Dr. Biswajit Sarkar
Dr. Mitali Sarkar
Manuscript Submission Information
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- nonlinear optimization in any production management
- classical, heuristic, and metaheuristic optimization approach in a supply chain and logistics management
- optimum solution in any smart production
- optimization in third party in the logistics management
- cost optimization or profit maximization in an inventory management
- application of graph theory in real life