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  1. NIIテクニカル・レポート

NII Technical Report (NII-2017-002E):Optimum Scenarios Evaluation of Reverse Logistics Systems under Influence of Uncertainties: Decisions made on Operating Costs

https://doi.org/10.20736/0002000358
https://doi.org/10.20736/0002000358
c9678fb3-7c8f-4624-93ed-15593cd43681
名前 / ファイル ライセンス アクション
17-002E.pdf NII Technical Report (NII-2017-002E):Optimum Scenarios Evaluation of Reverse Logistics Systems under Influence of Uncertainties: Decisions made on Operating Costs (782 KB)
Item type レポート / Report(1)
公開日 2022-06-09
タイトル
言語 en
タイトル NII Technical Report (NII-2017-002E):Optimum Scenarios Evaluation of Reverse Logistics Systems under Influence of Uncertainties: Decisions made on Operating Costs
言語
言語 eng
キーワード
言語 ja
主題Scheme Other
主題 テクニカルレポート
キーワード
言語 en
主題Scheme Other
主題 Technical Report
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
ID登録
ID登録 10.20736/0002000358
ID登録タイプ JaLC
著者 Salviano, Oscar

× Salviano, Oscar

en Salviano, Oscar

Search repository
Andres, Frederic

× Andres, Frederic

en Andres, Frederic

Search repository
抄録
内容記述タイプ Abstract
内容記述 A time-discrete, constrained, Linear Quadratic Gaussian (LQG) production planning problem is formulated to develop a production plan with sub-optimal levels of production and remanufacturing for a single product. With the objective to define a strategy of remanufacturing used product, estimated return rates are used to provide production scenarios based on this plan. Nowadays, specific legislation is applied to many industrial sectors regard to the return of used products. Thus, motivated by environmental factors and a shortage of raw materials, partial or total reuse of return products are a high priority on business's agenda of many companies. This paper uses an approach of literature to solve a production-planning problem of a dynamic system that includes a reverse channel, with a remanufacturing facility. It is assumed that fluctuations of demand for serviceable products are approximated by stationary normal random variables. Thus, the constrained LQG problem here considered is converted to an equivalent but deterministic that can be solved by any quadratic programming method from literature, providing, as a result, sub-optimal inventory and production plans. Managers can use such plans as scenarios to evaluate future opportunities as costs’ reduction, for instance. A simple usecase illustrates such ideas.
言語 en
書誌情報 ja : NIIテクニカル・レポート
en : NII Technical Report

p. 1-9, 発行日 2017-03-01
出版者
言語 ja
出版者 国立情報学研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-5597
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