Capacity_planning

Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products. (Wikipedia.org)






Conferences related to Capacity_planning

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2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE)

ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.


2020 IEEE 18th International Conference on Industrial Informatics (INDIN)

INDIN focuses on recent developments, deployments, technology trends, and research results in Industrial Informatics-related fields from both industry and academia


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.



Periodicals related to Capacity_planning

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Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...



Most published Xplore authors for Capacity_planning

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Xplore Articles related to Capacity_planning

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System modelling for integrated capacity planning in supply chain

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009

Because of current strong globalization trend, manufacturers and planners are more willing to cooperate in many aspects such as purchasing, production, planning and so on. Accordingly, capacity planning of supply chain should also be done in order to maximize the overall interests of supply chain. Capacity planning in supply chain is different from traditional capacity planning which confined single enterprise. ...


A capacity planning model for TFT-LCD production networks

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

The paper presents a capacity planning model for TFT-LCD production network. The capacity planning decision of TFT-LCD manufacturing is to simultaneously seek an optimal capacity allocation plan and capacity expansion policy. Capacity allocation decides on profitable product mixes and allocated production quantities of each product group at each production site. Capacity expansion concerned with determining the timing, types and sizes ...


Long-term Capacity Planning with Multi-process Routing for Mould Enterprise

2011 Second International Conference on Digital Manufacturing & Automation, 2011

Long-term capacity planning is a strategically important macroeconomic policy- making for mould enterprise, having a large influence on the investment cost and profit. This paper develops an integer programming method of long-term capacity planning considering the multi-process routings of mould parts. Firstly, a multi-process routing model of the mould parts is proposed based on the net flow theory. With the ...


Study of optimal capacity planning for remanufacturing activities in closed-loop supply chain using system dynamics modeling

2011 IEEE International Conference on Automation and Logistics (ICAL), 2011

The world of commerce is becoming increasingly competitive due to the lack of resources and importance of environmental awareness. Hence, most enterprises begin to focus on product re-usage. This practice however is facing many challenges before its potentials can be fully exploited. The work presented in this paper tackles the development of efficient capacity planning policies for remanufacturing facilities in ...


Capacity Planning Method for Semiconductor Fab with Time Constraints between Operations

2006 SICE-ICASE International Joint Conference, 2006

It is difficult to plan capacities of a semiconductor wafer fabrication with constraints of queue time which means a waiting time from the end of a step to the start of the next step for warranting production quality. If the queue time constraints could not be kept, the product is scrapped or reprocessed for qualitative recovery, and production efficiency remarkably ...



Educational Resources on Capacity_planning

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IEEE.tv Videos

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IEEE-USA E-Books

  • System modelling for integrated capacity planning in supply chain

    Because of current strong globalization trend, manufacturers and planners are more willing to cooperate in many aspects such as purchasing, production, planning and so on. Accordingly, capacity planning of supply chain should also be done in order to maximize the overall interests of supply chain. Capacity planning in supply chain is different from traditional capacity planning which confined single enterprise. Firstly, the integration necessity of capacity planning in supply chain is discussed. Secondly, the types of capacity planning are presented and method of capacity computation for each type of planning is also studied. Thirdly, the framework for integrated planning system is given and its function model is described with the modeling tool of IDEF0. Finally, a case is presented to show the validation of this study.

  • A capacity planning model for TFT-LCD production networks

    The paper presents a capacity planning model for TFT-LCD production network. The capacity planning decision of TFT-LCD manufacturing is to simultaneously seek an optimal capacity allocation plan and capacity expansion policy. Capacity allocation decides on profitable product mixes and allocated production quantities of each product group at each production site. Capacity expansion concerned with determining the timing, types and sizes of capacity investments, especially in the procurement of new bottleneck machines and acquisition of new auxiliary tools. This study proposes a mixed integer linear programming (MILP) to formulate the capacity planning problem which considers many practical characteristics of TFT-LCD manufacturing such as multi- generation & multi-site production network, two capacity types, economic cutting ratio, and high capacity expansion costs. Finally, a case study modified from a Taiwan TFT-LCD manufacturer is illustrated.

  • Long-term Capacity Planning with Multi-process Routing for Mould Enterprise

    Long-term capacity planning is a strategically important macroeconomic policy- making for mould enterprise, having a large influence on the investment cost and profit. This paper develops an integer programming method of long-term capacity planning considering the multi-process routings of mould parts. Firstly, a multi-process routing model of the mould parts is proposed based on the net flow theory. With the constraints of the flow balance of the net nodes and the capacity limit of the facilities, the integer programming mathematical formulation is then developed. Finally, a typical case of a real-life mould industry is studied and solved using a commercial package called LINGO. The results show the validity and practicability of this method.

  • Study of optimal capacity planning for remanufacturing activities in closed-loop supply chain using system dynamics modeling

    The world of commerce is becoming increasingly competitive due to the lack of resources and importance of environmental awareness. Hence, most enterprises begin to focus on product re-usage. This practice however is facing many challenges before its potentials can be fully exploited. The work presented in this paper tackles the development of efficient capacity planning policies for remanufacturing facilities in closed-loop supply chains. The case under study is analyzed through a simulation model based on the system dynamics methodology. More precisely, we focused on studying how to evaluate alternative long-term capacity planning policies using simulation model to obtain maximum profit. Validation and numerical experimentation further illustrate the applicability of the approach presented in this paper.

  • Capacity Planning Method for Semiconductor Fab with Time Constraints between Operations

    It is difficult to plan capacities of a semiconductor wafer fabrication with constraints of queue time which means a waiting time from the end of a step to the start of the next step for warranting production quality. If the queue time constraints could not be kept, the product is scrapped or reprocessed for qualitative recovery, and production efficiency remarkably decreases. This paper proposes an evaluation method which enables capacity planning of a fab with the queue time constraints, and shows its validity by simulation experiments. Furthermore we present an effectiveness of the method by applying to actual production lines

  • A dynamic multi-generation capacity planning under uncertainties

    This research studies multi-generation capacity planning problems under uncertainties. In high-tech industry, because of the frequent introduction of new production technology, capacity planners need to expand their facility while several technology options are available. Oftentimes, capacity of advanced technology can be used to produce products of lower technology. The partial flexibility of capacity makes multi-generation dynamic capacity optimization problems difficult. In this research, the multi-generation capacity planning problems are modeled by dynamic programming. In each decision time, capacity planners can invest in several types of capacity. The objective is to maximize expected revenue over a finite planning horizon. The dynamic programming model is solved by value iteration algorithm (VIA). In numerical study, we verify the robustness of proposed methods by discrete event simulation. Our finding provides general guidelines for multi-generation capacity planning under uncertainties.

  • Integrated process and inspection/metrology capacity planning

    Discrete event simulation is used to integrate process and inspection/metrology capacity models. This allows fab yield to be estimated for different process and inspection/metrology capacity choices. The importance of this integration is demonstrated through diverse experiments that reveal how excursion detecting inspection/metrology affects critical parameters in process tool capacity models and vice versa. One experiment shows a new method of quantifying the yield benefits of automated material handling systems (AMHS)

  • A Priority-Driven Finite Capacity Planning System with Enhanced Shifting Bottleneck Algorithm

    This paper presents the details of a priority-driven finite capacity planning system to address the capacity aggregation issue of the traditional rough-cut capacity planning (RCCP) approach. The system overcomes the limitation of infinite capacity consideration in the traditional RCCP approach through detailed system modeling. The capacity planning process starts by establishing capacity availability through the user-defined production calendars and machine unavailability time periods such as planned machine preventive maintenance schedule. The available capacity information is represented by building machine time lines with finite time buckets down to an increment of minute. Machine loading preferences and standard processing times are then specified in the form of capacity matrices. With the detailed capacity modeling approach, all information needed to model the capacity constraints could be precisely stated. The enhanced priority-driven finite capacity engine can be configured to consider weighted product and machine priorities; product forecast ratio, linkages to critical tooling and fixture constraint, as well as, the ability to cater for shifting bottleneck during the dynamic capacity allocation process. Through the intelligent capacity planning algorithms, the demands are assigned to the available capacity on a level-by-level approach. The priority-driven finite capacity planning system has been implemented in a few companies in the semiconductor backend assembly environment and it has proven to be a practical and effective capacity planning solution based on the encouraging feedback from the end users.

  • Fuzzy linear programming for capacity planning in optical networks

    Capacity planning is a challenging issue for designing next generation optical core networks. This paper presents a fuzzy linear programming (FLP) approach for capacity planning in optical networks under long-term demand uncertainty where the information of traffic loads is imprecise by nature. The simplicity of fuzzy logic is integrated with linear programming for capacity planning in optical backbones. The uncertainties in demand matrix are represented by membership functions using a-cut concept to provide a mathematical framework for dealing with non statistical uncertainties. The proposed approach offers the ability of consideration all conditions for decision making in optical networks. Simulation results show the efficiency of fuzzy linear programming method for capacity planning in optical networks. The proposed approach could be extended for considering other uncertainty sources in capacity planning problem of optical networks such as objective function and constraints.

  • Optimal production and capacity planning for Make-to-order type semiconductor production systems

    This paper introduces a systematic management procedure of Make-to-order (MTO) production system including Make-to-stock (MTS) products. The newly developed MTO management system consists of capacity planning and production planning based on the optimized resource allocation and individual production orders or estimated orders. For semiconductor manufacturing, the optimal resource allocation during capacity and production planning could reduce the cost and the risk relating to time as the result of performance evaluation of actual factory. In addition, the mixture of MTO and MTS is discussed, and several scenarios were compared to coordinate the purpose conflict between MTO and MTS.



Standards related to Capacity_planning

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No standards are currently tagged "Capacity_planning"