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    Demand Response-Driven Production and Maintenance Decision-Making for Cost-Effective Manufacturing

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 006::page 61008
    Author:
    Dababneh, Fadwa
    ,
    Li, Lin
    ,
    Shah, Rahul
    ,
    Haefke, Cliff
    DOI: 10.1115/1.4039197
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Manufacturers consume about 27% of the total electricity in the U.S. and are among the main contributors in the rising electricity demand. End-user electricity demand response is an effective demand side management tool that can help energy suppliers reduce electricity generation expenditures while providing opportunities for manufacturers to decrease operating costs. Several studies on demand response for manufacturers have been conducted. However, there lacks a unified production model that balances production capability degradation, maintenance requirements, and time-of-use (TOU) electricity prices simultaneously such that the interaction between production, maintenance, and electricity costs is considered. In this paper, a cost-effective production and maintenance scheduling model considering TOU electricity demand response is presented. Additionally, an aggregate cost model is formulated, which considers production, maintenance, and demand response parameters in the same function. The proposed models provide manufacturers with tools for implementing feasible and cost-effective demand response while meeting production targets and efficiently allocating maintenance resources. A case study is performed and illustrates that 19% in cost savings can be achieved when using the proposed model compared to solely minimizing the electricity billing cost. In addition, 14% in cost savings can be achieved when using the proposed model compared to a strategy where only the maintenance cost is minimized. Finally, the benefits of demand response driven production and maintenance scheduling under different cost and parameter settings are investigated; where the rated power, production rate, and initial machine production capability show to have the largest impact on the cost effectiveness of implementing demand response.
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      Demand Response-Driven Production and Maintenance Decision-Making for Cost-Effective Manufacturing

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    contributor authorDababneh, Fadwa
    contributor authorLi, Lin
    contributor authorShah, Rahul
    contributor authorHaefke, Cliff
    date accessioned2019-02-28T11:02:03Z
    date available2019-02-28T11:02:03Z
    date copyright3/13/2018 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_06_061008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251938
    description abstractManufacturers consume about 27% of the total electricity in the U.S. and are among the main contributors in the rising electricity demand. End-user electricity demand response is an effective demand side management tool that can help energy suppliers reduce electricity generation expenditures while providing opportunities for manufacturers to decrease operating costs. Several studies on demand response for manufacturers have been conducted. However, there lacks a unified production model that balances production capability degradation, maintenance requirements, and time-of-use (TOU) electricity prices simultaneously such that the interaction between production, maintenance, and electricity costs is considered. In this paper, a cost-effective production and maintenance scheduling model considering TOU electricity demand response is presented. Additionally, an aggregate cost model is formulated, which considers production, maintenance, and demand response parameters in the same function. The proposed models provide manufacturers with tools for implementing feasible and cost-effective demand response while meeting production targets and efficiently allocating maintenance resources. A case study is performed and illustrates that 19% in cost savings can be achieved when using the proposed model compared to solely minimizing the electricity billing cost. In addition, 14% in cost savings can be achieved when using the proposed model compared to a strategy where only the maintenance cost is minimized. Finally, the benefits of demand response driven production and maintenance scheduling under different cost and parameter settings are investigated; where the rated power, production rate, and initial machine production capability show to have the largest impact on the cost effectiveness of implementing demand response.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDemand Response-Driven Production and Maintenance Decision-Making for Cost-Effective Manufacturing
    typeJournal Paper
    journal volume140
    journal issue6
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4039197
    journal fristpage61008
    journal lastpage061008-11
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 006
    contenttypeFulltext
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