Process industry supply chains: Advances and challenges
By Nilay Shah. Computers and Chemical Engineering, 2005
376 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/86ba3d5594fe20259d2073bdcc68e8461970ba95
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
In Industrial and Manufacturing Engineering
- Manuel Díaz-Madroñero
- Eduardo Vicens
- Josefa Mula
- Stewart Robinson
- Antuela A. Tako
- Christos T. Maravelias
- David Peidro
- Charles Sung
Citations in the corpus
- The application of discrete event simulation and system dynamics in the logistics and supply chain context (2012, methodology): “Shah [129], for example, provides some examples selected from the literature rather than a comprehensive list of all existing supply chain papers.”
- Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input–output analysis (2012, neutral): “A general review of this area is presented by Shah 7 and Papageorgiou.”
- A holistic framework for short-term supply chain management integrating production and corporate financial planning (2007, background): “Although the need to account for financial aspects when constructing process operations models has been pointed out in the literature (Applequist et al., 2000; Shapiro, 2001; Shah, 2005), the integration of both areas has so far received little attention and is currently waiting for further study.”
- Life Cycle Optimization of Biomass-to-Liquid Supply Chains with Distributed–Centralized Processing Networks (2011, neutral): “, , , , , , , , j p q t b p q b j q t b wpj wbj α = ⋅ ∑ , , , , j J p P q Q t T ∀ ∈ ∈ ∈ ∈ , (17)”
- Integration of production planning and scheduling: Overview, challenges and opportunities (2009, positive): “In this paper, we specifically review approaches for the integration of medium-term production planning and short-term scheduling (Shah, 2005).”
- Mathematical programming models for supply chain production and transport planning (2010, background): “Regarding the former group of works, those of Vidal and Goetschalckx (1997), Beamon (1998), Erenguc et al. (1999), Schmidt and Wilhelm (2000), Bilgen and Ozkarahan (2004), Shah (2005), Stadtler (2005) and Dullaert et al. (2007) stand out.”