Aggregate production planning using integrated fuzzy multi-objective optimization with α-cut analysis
Aggregate production planning when operating time, costs, customer demand, labor level, and machine capacity are uncertain is studied. This study optimizes the aggregate production plan, yielding the minimum total costs by using an integrated fuzzy multi-objective linear model with 𝛼-Cut analysis....
Main Authors: | Noppasorn Sutthibutr, Navee Chiadamrong |
---|---|
Format: | Article |
Language: | English |
Published: |
Prince of Songkla University
2021-02-01
|
Series: | Songklanakarin Journal of Science and Technology (SJST) |
Subjects: | |
Online Access: | http://rdo.psu.ac.th/sjstweb/journal/43-1/37.pdf |
Similar Items
-
A five-phase combinatorial approach for solving a fuzzy linear programming supply chain production planning problem
by: Noppasorn Sutthibutr, et al.
Published: (2024-12-01) -
A method for solving possibilistic multi-objective linear programming problems with fuzzy decision variables
by: Mahnaz Hosseinzadeh, et al.
Published: (2014-12-01) -
Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach
by: Erni Krisnaningsih, et al.
Published: (2022-01-01) -
Some notes on possibilistic variances of generalized trapezoidal intuitionistic fuzzy numbers
by: Qiansheng Zhang, et al.
Published: (2021-02-01) -
Developing a Hybrid Fuzzy Possibilistic-flexible Modelling with Fuzzy TOPSIS to Solve Financial Investment Mathematical Programming Problems
by: Ali Ebrahimi Kordlar
Published: (2021-12-01)