Models for production planning under uncertainty: A review ☆
By Josefa Mula, R. Poler, José Pedro García-Sabater, F. Lario. 2006
679 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/eb518effbf01fe16c4d1675151de97c0551dae96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
In Management Information Systems
- S. A. Torabi
- R. Poler
- Josefa Mula
- José Pedro García-Sabater
- Stewart Robinson
- Elkafi Hassini
- Shih-Pin Chen
- Yi Feng
In Management Science and Operations Research
- S. A. Torabi
- R. Poler
- Josefa Mula
- José Pedro García-Sabater
- Stewart Robinson
- Elkafi Hassini
- Yi Feng
- Antuela A. Tako
Citations in the corpus
- Analysis of the newsboy problem with fuzzy demands and incremental discounts (2011, background): “Additional related studies can be found in Mula et al. (2006) which provides a good review.”
- Capacity and material requirement planning modelling by comparing deterministic and fuzzy models (2008, methodology): “Some applications of flexible programming in production planning problems can be found in Miller et al. (1997), Pendharkar (1997), Itoh et al. (2003), Melian and Verdegay (2005) and Mula et al. (2006a).”
- The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand (2010, background): “Along the years many researches and applications aimed to model the uncertainty in production planning problems (Mula et al., 2006a).”
- The application of discrete event simulation and system dynamics in the logistics and supply chain context (2012, background): “[100] recommend the need for empirical work to compare the use of different modelling approaches in practice, even though they base their study only on a subset of LSCM issues, that of production planning.”
- Optimization and coordination of supply chain with revenue sharing contracts and service requirement under supply and demand uncertainty (2017, background): “Mula et al. (2006) provided a good survey on this topic.”
- An interactive possibilistic programming approach for multiple objective supply chain master planning (2008, background): “Mula et al. [23] provided a new linear programming model for the medium term production planning in a capacitated multi-product, multi-level and multi-period MRP system, and transformed it into the three different auxiliary crisp models with flexibility in the objective function, market demand and a”