Conferences related to Supply Chain Networks

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2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.


2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Industrial information technologies


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Periodicals related to Supply Chain Networks

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Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Engineering Management Review, IEEE

Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today's literature without having to subscribe to and read other periodicals.


Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


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Most published Xplore authors for Supply Chain Networks

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Xplore Articles related to Supply Chain Networks

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Model predictive control algorithm of closed-loop supply chain networks dynamic system and its bullwhip effect

2017 36th Chinese Control Conference (CCC), 2017

A model predictive control algorithm of closed-loop supply chain networks dynamic system is studied. Based on the established system prediction model, the calculation formula of state estimation and prediction are given; the multi-stage optimal prediction model expressions are deduced; the objective function and the feedback correction method are given; the constrained optimization algorithm based on quadratic optimization is derived; and ...


A performance assessment on manufacturing nodes in robust design of supply chain networks (SCNs)

2009 16th International Conference on Industrial Engineering and Engineering Management, 2009

The paper provides an evaluation method on the performance of manufacturing nodes in supply chain networks (SCNs). After extensive literature review on the robust design of SCNs, a definition of "robustness" is tentatively made. This paper proposes an analytical framework for the manufacturing nodes and explicitly discloses the production authorization (PA) mechanism inside the manufacturing nodes in SCNs. Based on ...


Research of Co-competition Evolutionary of Supply Chain Networks Based on Penalties and Bonuses Incentive Mechanism

2007 IEEE International Conference on Automation and Logistics, 2007

A simple incentive mechanism based on penalties and bonuses to enhance supply chain networks (SCNs) cooperation is introduced. SCNs is regarded as one "learning" gradually evolutionary system, and game theory is applied to research the co-competition evolutionary of SCNs. Firstly, SCNs topology model is presented based on the analysis of small world and scale free characters. And secondly, the co-competition ...


Supporting non-hierarchical supply chain networks in the electronics industry

2010 IEEE International Technology Management Conference (ICE), 2010

The European electronics industry faces a strong competition with far eastern and US manufacturers. They have to respond with improved flexibility to changing requirements and collaborate across the supply chain effectively capitalizing on collaborative decision making. On operational levels a lot of concepts and tools have been implemented, which support automatic information exchange to optimize the supply chains. However, the ...


An analysis on the agility of node entropy in supply chain networks model

World Automation Congress 2012, 2012

Supply chain networks are complex networks characterized by non-linear dynamic systems. After constructing a complex supply chain networks model, this thesis infers its basic rules. It also provides the formula of node entropy and applies it to the analysis of agility. The study is of significance to the research on the complex dynamic evolution of supply chain networks.


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Educational Resources on Supply Chain Networks

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IEEE-USA E-Books

  • Model predictive control algorithm of closed-loop supply chain networks dynamic system and its bullwhip effect

    A model predictive control algorithm of closed-loop supply chain networks dynamic system is studied. Based on the established system prediction model, the calculation formula of state estimation and prediction are given; the multi-stage optimal prediction model expressions are deduced; the objective function and the feedback correction method are given; the constrained optimization algorithm based on quadratic optimization is derived; and the general steps of this algorithm is given by a numerical example. The essence of this algorithm is that through the rolling optimization and continuous implementations, adjust the order quantity, production control variables, the system has good dynamic performances in the premise of stability, the bullwhip effect is restrained. In order to get the stability and coordination control method of the complex nonlinear closed-loop supply chain networks, it provides a new method.

  • A performance assessment on manufacturing nodes in robust design of supply chain networks (SCNs)

    The paper provides an evaluation method on the performance of manufacturing nodes in supply chain networks (SCNs). After extensive literature review on the robust design of SCNs, a definition of "robustness" is tentatively made. This paper proposes an analytical framework for the manufacturing nodes and explicitly discloses the production authorization (PA) mechanism inside the manufacturing nodes in SCNs. Based on a hypothetical M/M/l queue model of PA mechanism in the manufacturing nodes, a performance assessment on the manufacturing nodes in SCNs is conducted by simulation of the production process through queuing theories. Finally, some possible research directions are suggested for the future work.

  • Research of Co-competition Evolutionary of Supply Chain Networks Based on Penalties and Bonuses Incentive Mechanism

    A simple incentive mechanism based on penalties and bonuses to enhance supply chain networks (SCNs) cooperation is introduced. SCNs is regarded as one "learning" gradually evolutionary system, and game theory is applied to research the co-competition evolutionary of SCNs. Firstly, SCNs topology model is presented based on the analysis of small world and scale free characters. And secondly, the co-competition evolutionary game model is constructed mixed the penalties and bonuses incentive mechanism. Finally, the simulation results illuminate the incentive mechanism could accelerate cooperation emergency and advance the cooperation levels of SCNs.

  • Supporting non-hierarchical supply chain networks in the electronics industry

    The European electronics industry faces a strong competition with far eastern and US manufacturers. They have to respond with improved flexibility to changing requirements and collaborate across the supply chain effectively capitalizing on collaborative decision making. On operational levels a lot of concepts and tools have been implemented, which support automatic information exchange to optimize the supply chains. However, the collaboration on tactical and strategic levels is not supported; especially new forming non-hierarchical networks are concerned. This paper describes the problem analysis as a basis for the project approach and first findings gained from four industrial use cases. The goal of the CONVERGE project is to fill the existing gap regarding collaboration on tactic and strategic level by providing a framework and tools for exchanging tactical and strategic information.

  • An analysis on the agility of node entropy in supply chain networks model

    Supply chain networks are complex networks characterized by non-linear dynamic systems. After constructing a complex supply chain networks model, this thesis infers its basic rules. It also provides the formula of node entropy and applies it to the analysis of agility. The study is of significance to the research on the complex dynamic evolution of supply chain networks.

  • Complexity measure of supply chain networks

    In this paper, we use the information entropy method measure and analyze the complexity of supply chain networks. We observe the supply chain networks complexity under the influence of three factors: demand variance pattern, demand information sharing, and lead time. This study shows that, in general speaking sharing demand information, little lead time, and little demand variance can decrease its entropy. Counter-intuitively, under not sharing demand information condition, the customer demand variance decrease may increase the complexity between the supplier order and retailer order. Under sharing customer demand information condition, decrease the lead time may have increase the complexity also between the supplier order and retailer order.

  • Emerging research institutions' technology transfer supply chain networks' sustainability: Budget resource planning tool development

    Emerging Research Institutions (ERIs) can benefit from patent licensing revenues from the transfer of patented technologies into the commercial marketplace because these added revenues can help research institutions become more sustainable financially. However, many ERIs struggle to succeed in technology transfer. This study describes the development of a university technology transfer supply chain network sustainability tool that private and public ERIs can use to become more self-reliant financially. Historically black colleges and universities (HBCUs) are ERIs and are used as a case study. HBCUs lag behind their peer non-HBCUs because historically they have been under-served and were originally established largely as teaching and blue- collar trade schools. Some doctoral HBCUs desire to strengthen their research activities. Systems dynamics is the process of combining the theory, method, and philosophy necessary to analyze the behavior of a system in order to provide a common foundation that can be applied whenever it is desired to understand and influence how things change over time. Applying the systems dynamics approach, a budget resource planning tool was developed using a linear programming optimization technique. This study illustrates that classic industrial uses of linear programming optimization techniques can uniquely be used to optimize budget resource planning for sustainable HBCU supply chain networks and other emerging research institutions. This study contributes to the improved execution of technology transfer projects through better budget resource planning.

  • Analyzing the impact of business interoperability on the performance of cooperative supply chain networks

    The originality of this paper consists in proposing a model that can be used to simulate the manner in which companies interoperate in cooperative supply chain networks. The objective is to develop a model that enables the analysis of the impact of business interoperability on the performance of cooperative supply chain networks. The analysis of the impact is based on the agent-based simulation method. To test the proposed theoretical model, an application scenario regarding a reverse supply chain network is presented.

  • Research on value-adding equilibrium of complex supply chain networks

    With the intensive competitions in global market, enterprises need to apply cooperative and competitive postures to manage their relationships with their supply chain members as well as the firms in the other supply chains. While todayiquests supply chains are evolving into more complicated network structures, most of the researches today are focused on the competition game among the upstream and downstream companies around the core company in the single supply chain networks (SSCN), and the cooperation-competition relationships among the SSCNs are somehow ignored. This paper first describes the structure of the complex supply chain networks (CSCN) that are formed by different SSCNs. Then, using the game theory, the paper studies the value- adding equilibrium between the SSCNs in the CSCN, and establishes the value- adding equilibrium model of the CSCNs under imperfect cost information.

  • Risk-averse based reverse bullwhip effect in pricing for supply chain networks

    Price variability is one of the major causes of the bullwhip effect. The research on bullwhip effect is mostly based on the conduct of order information from downstream in supply chain to upstream, while reverse -amplify mechanism of the price variability in capital flow is ignored. According to the theory of optimization and the model of sequential game, based on the cost-based pricing in firm, this paper establishes a supply chain network pricing model to analyze the impact of procurement price variability in the upstream on the downstream retail prices, further to confirm the conditions which engender reverse bullwhip effect in Pricing under uncertain demand.



Standards related to Supply Chain Networks

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Jobs related to Supply Chain Networks

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