Applying possibilistic linear programming to aggregate production planning

By Reay-Chen Wang, Tien-Fu Liang. 2005

244 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/628c6b3e7fe9aea5f15fa143c415a2a6ba8aa3eb

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In Building and Construction

In Control and Systems Engineering

In Management Science and Operations Research

Citations in the corpus

Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016, unknown): “After sales forecasts and resource requirements, the various alternate production plans are generated (Wang and Liang, 2005; Liu et al., 2011; Mirapour et al., 2011; Li et al., 2013).”
The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand (2010, background): “Other applications of possibilistic programming in production planning problems can be found in Inuiguchi et al. (1994), Hsu and Wang (2001), Wang and Fang (2001), Lodwick and Bachman (2005), Wang and Liang (2005), Mula et al. (2008) and Vasant et al. (2008).”
A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty (2011, background): “As a result SCM therefore, has recently received much attention (Dolgui and OuldLouly, 2002; Wang and Liang, 2005; Gunnarsson and Rönnqvist, 2008; Lodree and Uzochukwu, 2008; Gebennini et al., 2009).”
Capacity and material requirement planning modelling by comparing deterministic and fuzzy models (2008, background): “Other applications of possibilistic programming in production planning problems can be found in Gen et al. (1992), Inuiguchi et al. (1994), Hsu and Wang (2001), Wang and Fang (2001), Lodwick and Bachman (2005) and Wang and Liang (2005).”
A possibilistic programming approach for closed-loop supply chain network design under uncertainty (2010, unknown): “, [29,34–37]).”
An interactive possibilistic programming approach for multiple objective supply chain master planning (2008, methodology): “Liang [20] developed an interactive multi-objective linear programming model for solving the fuzzy multi-objective transportation problems with piecewise linear membership function.”