scholarly journals Integrated Possibilistic Linear Programming with Beta-Skewness Degree for a Fuzzy Multi-Objective Aggregate Production Planning Problem Under Uncertain Environments

Author(s):  
Noppasorn Sutthibutr ◽  
Navee Chiadamrong
Author(s):  
Halit Alper Tayali

The aggregate production planning model aims to match the supply with demand while minimizing the manufacturing or production activity costs. There are many methods in the mathematical programming theory to solve the aggregate production planning problem. This chapter develops a novel decision support system for the aggregate production planning model using the linear programming approach. The aggregate production problem modeled by the linear programming has been coded in R computer programming language, and a novel web application has been developed using Shiny to serve the needs of the production managers. The novel application is adjustable for any production setting and planning horizon for firms in global transitioning.


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