Agent-based supply chain management—2: a refinery application

Julka, Nirupam; Karimi, Iftekhar A.; Srinivasan, Rajagopalan

doi:10.1016/s0098-1354(02)00151-5

Cited by 117 publications

(44 citation statements)

References 13 publications

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“…Improved understanding of the real system X X X Improved communication within and between organizations in the supply chain X X ABDS systems also make it possible to conduct different experiments and what-if analyses. This is similar to earlier findings reported in the literature (Nilsson and Darley, 2006;Legato and Mazza, 2001;Guo et al 2001;Vlachos 2007;Julka et al, 2002;Gao et al, 2009;van Dam et al, 2009;Hilletofth et al, 2010a). For instance, the decision maker in the Alpha case could investigate how the desired stock levels would impact supply chain performance.…”

Section: Discussionsupporting

confidence: 87%

Agent based decision support in the supply chain context

Hilletofth

Lättilä

2012

Industrial Management &Amp; Data Systems

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Purpose: The purpose of this paper is to investigate the benefits and the barriers of agent based decision support (ABDS) systems in the supply chain context. Design/methodology/approach: Two ABDS systems have been developed and evaluated. The first system concerns a manufacturing supply chain while the second concerns a service supply chain. The systems are based on actual case companies. Findings:This research shows that the benefits of ABDS systems in the supply chain context include the possibility to increase versatility of system architecture, to improve supply chain visibility, to conduct experiments and what-if analyses, to improve the understanding of the real system, and the possibility to improve communication within and between organizations in the supply chain. The barriers of ABDS systems in the supply chain context include the difficulty to access data from partners in the supply chain, the difficulty to access data on a higher level of granularity, and the difficulty to retrieve data from other information systems. Research limitations/implications:The research is explorative in nature therefore empirical data from similar and other research settings should be gathered to reinforce the validity of the findings. Practical implications:This research provides knowledge and insights on how ABDS systems may be developed and used in the supply chain context and demonstrates its main benefits and barriers. Originality/value:This research expands the current research of benefits of ABDS systems to the supply chain domain and also addresses the barriers of ABDS systems to a larger extent than previous research. Comparisons to other simulation based decision support systems are also given.

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Section: Discussionsupporting

confidence: 87%

Agent based decision support in the supply chain context

Hilletofth

Lättilä

2012

Industrial Management &Amp; Data Systems

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“…Fox et al [98] argue that optimization of supply chain performance is only possible when the impacts of decisions made by one unit onto another units are understood. A systems model that captures all important interactions among different units of a supply chain would contribute to effective decision making [99]. Swaminathan, Smith, and Sadeh [100] demonstrate the use of object-oriented agent modelling in more detail to increase overall performance of a supply chain.…”

Section: Agent Based Modelling (Abm)mentioning

confidence: 99%

“…Swaminathan, Smith, and Sadeh [100] demonstrate the use of object-oriented agent modelling in more detail to increase overall performance of a supply chain. Julka et al [99] use petroleum refinery integrated supply chain modeller and simulator to emulate a crude refinery's supply chain to develop procurement strategies. ABM has been used in ecology too.…”

Section: Agent Based Modelling (Abm)mentioning

confidence: 99%

Advancing Integrated Systems Modelling Framework for Life Cycle Sustainability Assessment

2011

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Abstract:The need for integrated methodological framework for sustainability assessment has been widely discussed and is urgent due to increasingly complex environmental system problems. These problems have impacts on ecosystems and human well-being which represent a threat to economic performance of countries and corporations. Integrated assessment crosses issues; spans spatial and temporal scales; looks forward and backward; and incorporates multi-stakeholder inputs. This study aims to develop an integrated methodology by capitalizing the complementary strengths of different methods used by industrial ecologists and biophysical economists. The computational methodology proposed here is systems perspective, integrative, and holistic approach for sustainability assessment which attempts to link basic science and technology to policy formulation. The framework adopts life cycle thinking methods-LCA, LCC, and SLCA; stakeholders analysis supported by multi-criteria decision analysis (MCDA); and dynamic system modelling. Following Pareto principle, the critical sustainability criteria, indicators and metrics (i.e., hotspots) can be identified and further modelled using system dynamics or agent based modelling and improved by data envelopment analysis (DEA) and sustainability network theory (SNT). The framework is being applied to development of biofuel supply chain networks. The framework can provide new ways of integrating knowledge across the divides between social and natural sciences as well as between critical and problem-solving research. OPEN ACCESSSustainability 2011, 3 470

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“…Agents on the Plant Level represent production lines of the customer factory. The unified framework for supply chain decision support system proposed in [160] integrates the various elements of a supply chain such as enterprises, their production processes, and their associated business data and knowledge and represents them in a unified, objectoriented way. Supply chain elements are classified as entities, flows and relationships.…”

Section: Retailermentioning

confidence: 99%

“…[163] MAS applied for petroleum refinery supply chain [160] Supply chain management in computer industry [158] Replenishment [196] Assembly and life-cycle management Holonic control of an engine assembly system [172] …”

Section: Production In Networkmentioning

confidence: 99%

Agent-Based Systems for Manufacturing

2006

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The emerging paradigm of agent-based computation has revolutionized the building of intelligent and decentralized systems. The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation of autonomous entities had to be tackled. In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. Special emphasis is laid on methodological issues and deployed industrial systems. After discussing open issues and strategic research directions, we conclude that the evolution of agent technologies and manufacturing will probably proceed hand in hand. The former can receive real challenges from the latter, which, in turn, will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.

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Agent-based supply chain management—2: a refinery application

Cited by 117 publications

References 13 publications

Agent based decision support in the supply chain context

Agent based decision support in the supply chain context

Advancing Integrated Systems Modelling Framework for Life Cycle Sustainability Assessment

Agent-Based Systems for Manufacturing

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