An agent-based approach for supply chain retrofitting under uncertainty

Mele, Fernando D.; Guillén, Gonzalo; Espuña, Antonio; Puigjaner, Luís

doi:10.1016/j.compchemeng.2006.12.013

Cited by 53 publications

(24 citation statements)

References 30 publications

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“…Agent-based models are now widely considered to be a promising approach for decision support in supply chains [12] [13] [14] [15] [16] [17]. A detailed comparison of the advantages and disadvantages of the equation-based and agent-based modelling paradigms that can be used for supply chains is called for.…”

Section: Introductionmentioning

confidence: 99%

Critical evaluation of paradigms for modelling integrated supply chains

Dam

Adhitya

Srinivasan

et al. 2009

Computers & Chemical Engineering

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Contemporary problems in process systems engineering often require model-based decision support tool. Among the various modelling paradigms, equation-based models and agent-based models are widely used to develop dynamic models of systems. Which is the most appropriate modelling paradigm for a supply chain? In this paper, we seek to address this important question through a well-structured benchmarking process. First, we demonstrate that in the space of models, 'equations' and 'agents' are concepts of a different order, the former referring to the system description elements in the model while the latter emphasises the model elements. Thus conceptually, the two paradigms are not mutually exclusive. Next, in a case study different dynamic models of an oil refinery supply chain are developed, using different tools and approaches. By performing detailed experiments with two different models, it is demonstrated that the models are equivalent when compared using model definition, numerical results and recommended decisions. However, the modelling process itself is different and results in different model structures. By analysing the effort required to expand the models, allowing new scenarios to be tested, and reuse of model components, we identify the strengths of the two paradigms in the context of supply chain modelling.

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Section: Introductionmentioning

confidence: 99%

Critical evaluation of paradigms for modelling integrated supply chains

Dam

Adhitya

Srinivasan

et al. 2009

Computers & Chemical Engineering

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show abstract

“…Agent-based modeling uses a bottom-up modeling approach and is widely considered as a valuable approach for decision support in supply chains (Petrovic et al, 1998;Julka et al, 2002a,b;Mele et al, 2007;Thierry et al, 2008;van Dam et al, 2009). Each entity in the system is modeled as an "agent" that has its own states and interests, and makes decisions based on a series of rules (Bonabeau, 2002).…”

Section: Dynamic Simulation Model Of the Chemical Supply Chainmentioning

confidence: 99%

“…These simplifications limit the extent to which these models truly represent the dynamics of the supply chain. As a result, mathematical programming can serve a limited role in dealing with large, complex, dynamic, nonlinear fleet sizing problems (Wan et al, 2004;Mele et al, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

Fleet sizing in chemical supply chains using agent-based simulation

Meng

2016

Computers & Chemical Engineering

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“…Each finished good has a combination of raw materials that must be provided by suppliers; therefore, each product is associated with a BOM (Bill of Materials) implemented as suggested by Mele et al (2007). At each step of the simulation, the agent determines the production level that is more appropriate to meet the demand.…”

Section: Structural Agentsmentioning

confidence: 99%

Normative agent-based simulation for supply chain planning

Ferreira

Borenstein

2011

Journal of the Operational Research Society

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This paper presents an agent-based simulation framework for supply chain (SC) planning, introducing the notion of normative agent. The analysis of the relevant literature shows that most research works carried out in this area aim to handle specific problems and contexts. Although some methodologies and more generic solutions have been proposed, they are not able to cope with SCs in which regulation plays an important role, whether issued by a government agent or by an international institution. Several SCs, such as in the energy, food, chemical, and forestry areas, are highly regulated. Explicitly modelling the actors involved in the regulation of SCs using normative agents allowed us to evaluate the potential benefits of alternative strategies for planning of regulated SCs. The modelling of a biodiesel SC is presented as a case study.

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An agent-based approach for supply chain retrofitting under uncertainty

Cited by 53 publications

References 30 publications

Critical evaluation of paradigms for modelling integrated supply chains

Critical evaluation of paradigms for modelling integrated supply chains

Fleet sizing in chemical supply chains using agent-based simulation

Normative agent-based simulation for supply chain planning

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