Stability analysis on resource matching in crowdsourced manufacturing

Recently, crowdsourced manufacturing concept highly attracts attention. In crowdsourced manufacturing, each participant shares their manufacturing resources to improve asset efficiency. To realize this concept, it is important how to make matching between resource requests and resource offers which...

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Main Authors: Takafumi CHIDA, Toshiya KAIHARA, Nobutada FUJII, Daisuke KOKURYO
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2019-01-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/transjsme/85/870/85_18-00293/_pdf/-char/en
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author Takafumi CHIDA
Toshiya KAIHARA
Nobutada FUJII
Daisuke KOKURYO
author_facet Takafumi CHIDA
Toshiya KAIHARA
Nobutada FUJII
Daisuke KOKURYO
author_sort Takafumi CHIDA
collection DOAJ
description Recently, crowdsourced manufacturing concept highly attracts attention. In crowdsourced manufacturing, each participant shares their manufacturing resources to improve asset efficiency. To realize this concept, it is important how to make matching between resource requests and resource offers which achieve high efficiency improvement in fair way. Previously, some authors show production efficiency improvement with some resource matching algorithm. But, as shown in market design research field, matching stability is important in resource matching problem not only efficiency. In this research, we propose two stability indices 'number of blocking pairs' and 'loss caused by blocking pairs' for resource matching. The concept of blocking pair is well known, but to utilize it for resource matching problem, there are some obstacles. So, we propose analysis method of resource matching stability. And, we evaluate efficiency of the crowdsourced manufacturing system and matching stability of some representative optimization methods. The computational experiments give the following conclusions. (1) M:n type matching methods improve efficiency of the crowdsourced manufacturing system compared with the conventional dispatch method. (2) Resource matching method should be selected with consideration of features of crowdsourced manufacturing system, because distribution of profit among participants differs according to resource matching method, and matching stability differs according to stability analysis term length. (3) In the case of profit maximization of whole crowdsourced manufacturing system, a polite discussion is necessary, because profit of each participant might be reduced. In the future, we will develop new resource matching method with good balance between management effect and matching stability.
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spelling doaj.art-64de71ffba474758b09ce7014f87e6362022-12-22T03:41:35ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612019-01-018587018-0029318-0029310.1299/transjsme.18-00293transjsmeStability analysis on resource matching in crowdsourced manufacturingTakafumi CHIDA0Toshiya KAIHARA1Nobutada FUJII2Daisuke KOKURYO3Hitachi, Ltd., Research and Development Group Center for Technology Innovation - Production EngineeringGraduate School of System Informatics, Kobe UniversityGraduate School of System Informatics, Kobe UniversityGraduate School of System Informatics, Kobe UniversityRecently, crowdsourced manufacturing concept highly attracts attention. In crowdsourced manufacturing, each participant shares their manufacturing resources to improve asset efficiency. To realize this concept, it is important how to make matching between resource requests and resource offers which achieve high efficiency improvement in fair way. Previously, some authors show production efficiency improvement with some resource matching algorithm. But, as shown in market design research field, matching stability is important in resource matching problem not only efficiency. In this research, we propose two stability indices 'number of blocking pairs' and 'loss caused by blocking pairs' for resource matching. The concept of blocking pair is well known, but to utilize it for resource matching problem, there are some obstacles. So, we propose analysis method of resource matching stability. And, we evaluate efficiency of the crowdsourced manufacturing system and matching stability of some representative optimization methods. The computational experiments give the following conclusions. (1) M:n type matching methods improve efficiency of the crowdsourced manufacturing system compared with the conventional dispatch method. (2) Resource matching method should be selected with consideration of features of crowdsourced manufacturing system, because distribution of profit among participants differs according to resource matching method, and matching stability differs according to stability analysis term length. (3) In the case of profit maximization of whole crowdsourced manufacturing system, a polite discussion is necessary, because profit of each participant might be reduced. In the future, we will develop new resource matching method with good balance between management effect and matching stability.https://www.jstage.jst.go.jp/article/transjsme/85/870/85_18-00293/_pdf/-char/envirtual factorycrowdsourced manufacturing systemcloud based manufacturing systemproduction planningresource matching
spellingShingle Takafumi CHIDA
Toshiya KAIHARA
Nobutada FUJII
Daisuke KOKURYO
Stability analysis on resource matching in crowdsourced manufacturing
Nihon Kikai Gakkai ronbunshu
virtual factory
crowdsourced manufacturing system
cloud based manufacturing system
production planning
resource matching
title Stability analysis on resource matching in crowdsourced manufacturing
title_full Stability analysis on resource matching in crowdsourced manufacturing
title_fullStr Stability analysis on resource matching in crowdsourced manufacturing
title_full_unstemmed Stability analysis on resource matching in crowdsourced manufacturing
title_short Stability analysis on resource matching in crowdsourced manufacturing
title_sort stability analysis on resource matching in crowdsourced manufacturing
topic virtual factory
crowdsourced manufacturing system
cloud based manufacturing system
production planning
resource matching
url https://www.jstage.jst.go.jp/article/transjsme/85/870/85_18-00293/_pdf/-char/en
work_keys_str_mv AT takafumichida stabilityanalysisonresourcematchingincrowdsourcedmanufacturing
AT toshiyakaihara stabilityanalysisonresourcematchingincrowdsourcedmanufacturing
AT nobutadafujii stabilityanalysisonresourcematchingincrowdsourcedmanufacturing
AT daisukekokuryo stabilityanalysisonresourcematchingincrowdsourcedmanufacturing