Distributed economic model predictive control for cooperative supply chain management using customer forecast information

Köhler, Philipp N.; Müller, Matthias A.; Pannek, Jürgen; Allgöwer, Frank

doi:10.1016/j.ifacsc.2020.100125

Cited by 11 publications

(7 citation statements)

References 24 publications

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“…31 Furthermore, online deterministic optimization has been considered in the context of managing decentralized supply chain networks in which information is not available globally and decisions are made by each stakeholder locally. 32,33 2.1. Contributions of the Present Paper.…”

Section: Background and Related Literaturementioning

confidence: 99%

“…Similarly, online optimization has been applied to managing the supply chain of perishable products with an uncertain degradation rate and uncertain customer demand for large-scale networks . Furthermore, online deterministic optimization has been considered in the context of managing decentralized supply chain networks in which information is not available globally and decisions are made by each stakeholder locally. , …”

Section: Background and Related Literaturementioning

confidence: 99%

See 1 more Smart Citation

Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty

Lejarza

Kelley

Bâldea

2022

Ind. Eng. Chem. Res.

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Optimization-based inventory and supply chain management (SCM) under uncertainty can provide organizations a significant competitive advantage. Implementing optimization under uncertainty using stochastic or robust formulations requires accurate characterization of uncertain parameters (e.g., customer demand, production and transportation lead times) and can be computationally demanding. On the other hand, online deterministic optimization addresses uncertainty via a periodic recalculation of SCM decisions based on feedback of updated system information. In this work, we carry out an extensive comparative numerical study to analyze and contrast the performance of online and offline algorithms for several deterministic and uncertainty-aware inventory production and distribution planning formulations under uncertain customer demand in the context of multiechelon, multiperiod supply chains. We demonstrate empirically that using online deterministic optimization rooted in feedback control has significant computational and economic performance advantages over stochastic and robust optimization formulations.

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Section: Background and Related Literaturementioning

confidence: 99%

Section: Background and Related Literaturementioning

confidence: 99%

Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty

Lejarza

Kelley

Bâldea

2022

Ind. Eng. Chem. Res.

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show abstract

“…Large-scale systems which comprise a large number of interconnected subsystems, as, e.g., power grids [29], transportation networks [30], and large scale irrigation systems [31], lead to complex, high-dimensional models. A centralized controller, e.g., as shown in Fig.…”

Section: Basis Of Mpcmentioning

confidence: 99%

Model predictive control for autonomous ground vehicles: a review

Hirche

Huang

et al. 2021

Auton. Intell. Syst.

Self Cite

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This paper reviews model predictive control (MPC) and its wide applications to both single and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established optimal control method, which uses the predicted future information to optimize the control actions while explicitly considering constraints. On the other hand, AGVs are able to make forecasts and adapt their decisions in uncertain environments. Therefore, because of the nature of MPC and the requirements of AGVs, it is intuitive to apply MPC algorithms to AGVs. AGVs are interesting not only for considering them alone, which requires centralized control approaches, but also as groups of AGVs that interact and communicate with each other and have their own controller onboard. This calls for distributed control solutions. First, a short introduction into the basic theoretical background of centralized and distributed MPC is given. Then, it comprehensively reviews MPC applications for both single and multiple AGVs. Finally, the paper highlights existing issues and future research directions, which will promote the development of MPC schemes with high performance in AGVs.

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“…Therefore, companies and organizations are called upon to rede ne their business models and focus on the optimal dissemination of information. Proper and effective information sharing helps ght supply chain fraud and can enable the company to meet the ercest competition, succeed in a more complex business environment and increase their e ciency and effectiveness (Köhler et al 2021;Shi and Geng 2021).…”

Section: Introductionmentioning

confidence: 99%

The Next “G” On ESG: The Strategic Thinking of Businesses Towards Supply Chain Fraud

Sariannidis

Ragazou

Passas

et al. 2021

Preprint

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Supply Chain Management is in the core of businesses’ operational activities worldwide. Its main purpose is the proper management of resources and the assurance of the sustainable operation of the economic entities. However, Supply Chain Management is exposed to breaches related to the code of conduct as well as fraud. Integrating the principles of Environmental, Social and Corporate Governance (ESG) can help build a healthy, sustainable, and resilient supply chain. The purpose of the research is twofold and refers to: (i) highlight those factors of the ESG that contribute to the decrease and mitigation of the fraud in supply chain and (ii) the business strategies that can be developed from businesses and can be based on ESG factors. In this context, a log-log model of multiple linear regression was proposed. Secondary data were extracted from the Thomson Reuters database. The model was based on 681 observations concerning companies operating in Europe. The results have led to the conclusion that the existence of policies related to human resources and technology contribute significantly to tackling supply chain fraud. Regarding the first factor, Human Resource is important to feel safe and their rights should be protected by companies. Securing their rights can lead individuals to their commitment to the work environment, as well as to their protection from threats and violations. Finally, the role of technology is fully consistent with transparency in the supply chain. For this reason, the adoption of reliable solutions and technologies, which turn to the green economy, offer visibility and optimization of processes.

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Distributed economic model predictive control for cooperative supply chain management using customer forecast information

Cited by 11 publications

References 24 publications

Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty

Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty

Model predictive control for autonomous ground vehicles: a review

The Next “G” On ESG: The Strategic Thinking of Businesses Towards Supply Chain Fraud

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