Supply chain optimization of large-scale continuous processes

Schulz, Erica P.; Diaz, M. Soledad; Bandoni, J. Alberto

doi:10.1016/j.compchemeng.2005.02.025

Cited by 52 publications

(40 citation statements)

References 13 publications

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“…Recent efforts attempted to solve a supply chain problem of a single petroleum organization that produces fuels and petrochemicals. 138 Schulz et al 139 solved a supply chain optimization problem that considers production of petrochemicals from natural gas as a feedstock. However, there is an outstanding challenge to address these supply network problems on a statewide and nationwide level.…”

Section: Outlook and Outstanding Challengesmentioning

confidence: 99%

Multi‐scale systems engineering for energy and the environment: Challenges and opportunities

et al. 2016

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Section: Outlook and Outstanding Challengesmentioning

confidence: 99%

Multi‐scale systems engineering for energy and the environment: Challenges and opportunities

et al. 2016

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“…There has been little work done in this area and the one that has been reported by Kallrath (2002) 12 , Schulz et al (2005) 13 and Chandra et al (2004) 14 assumes that types of contracts are given and not decision variables.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Production shortfalls with respect to the demands (equation (19)) compensate loss of potential sales which is penalized in the objective function, equation (13).…”

Section: Short-term Planning Modelmentioning

confidence: 99%

Modeling of Purchase and Sales Contracts in Supply Chain Optimization

Park¹,

Park²,

Grossmann³

2006

Ind. Eng. Chem. Res.

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This work presents a novel approach for modeling of different types of contracts that a company may sign with its suppliers and customers. The main objective is to expand the scope of current planning and supply chain optimization models by including the selection of the types of contracts as an additional decision. The solution approach relies on representing the decision of choosing different contracts using disjunctive programming for both short-term and long-term production planning models. The resulting formulation is converted into a mixed-integer linear programming (MILP) problem. The advantages of the proposed models are highlighted in two case studies of increasing complexity.

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“…A comprehensive literature survey regarding combined inventory routing is presented by Anderson et al [1] and supply chain problems and design are thoroughly discussed by Shah [2]. Schulz et al [3] present two different types of mixed integer non-linear program (MINLP) models for optimizing the supply chain of a continuous industry and Al-Khayyal and Hwang [4] study maritime routing and scheduling for a heterogeneous fleet of ships by minimizing costs with a mixed integer linear program (MILP) model. Maritime routing and scheduling with load splitting is studied by Stålhane et al [5] using a path-flow formulated MILP model.…”

Section: Introductionmentioning

confidence: 99%