Sustainable Decision-Making Approach for Dual-Channel Manufacturing Systems under Space Constraints
DC Field | Value | Language |
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dc.contributor.author | Mala, P. | - |
dc.contributor.author | Palanivel, M. | - |
dc.contributor.author | Priyan, S. | - |
dc.contributor.author | Anbazhagan, N. | - |
dc.contributor.author | Acharya, Srijana | - |
dc.contributor.author | Joshi, Gyanendra Prasad | - |
dc.contributor.author | Ryoo, Joohan | - |
dc.date.accessioned | 2022-07-06T12:01:53Z | - |
dc.date.available | 2022-07-06T12:01:53Z | - |
dc.date.created | 2021-12-08 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140781 | - |
dc.description.abstract | In response to the digital revolution, nowadays, many companies operate online and offline businesses in parallel to ensure their future competitiveness. This research examines the inventory strategy for multi-product vendor-buyer supply chain systems, considering space constraints and carbon emissions, in order to improve competence in managing online and offline integrated orders. We amalgamate costs and emissions in transport and storage. Here, we divide the warehouse of the buyer into two stages: one for satisfying online orders and the other for satisfying offline orders. We also assume that additional crashing costs reduce the lead times for receiving products in the buyer's warehouse. This study demonstrates a mathematical model in the form of a constrained non-linear programme (NLP) and derives a Lagrangian multiplier method to solve it. An iterative solution procedure is designed in order to attain sustainable manufacturing decisions, which are illustrated numerically. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Sustainable Decision-Making Approach for Dual-Channel Manufacturing Systems under Space Constraints | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ryoo, Joohan | - |
dc.identifier.doi | 10.3390/su132011456 | - |
dc.identifier.scopusid | 2-s2.0-85117414833 | - |
dc.identifier.wosid | 000715098600001 | - |
dc.identifier.bibliographicCitation | SUSTAINABILITY, v.13, no.20, pp.1 - 22 | - |
dc.relation.isPartOf | SUSTAINABILITY | - |
dc.citation.title | SUSTAINABILITY | - |
dc.citation.volume | 13 | - |
dc.citation.number | 20 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 22 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.subject.keywordPlus | CONTROLLABLE LEAD-TIME | - |
dc.subject.keywordPlus | SUPPLY CHAIN COORDINATION | - |
dc.subject.keywordPlus | INVENTORY MANAGEMENT | - |
dc.subject.keywordPlus | INTEGRATED INVENTORY | - |
dc.subject.keywordPlus | PERMISSIBLE DELAY | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | TRANSPORTATION | - |
dc.subject.keywordPlus | WAREHOUSE | - |
dc.subject.keywordPlus | DEMAND | - |
dc.subject.keywordPlus | VENDOR | - |
dc.subject.keywordAuthor | dual-channel | - |
dc.subject.keywordAuthor | space constraint | - |
dc.subject.keywordAuthor | carbon emission | - |
dc.subject.keywordAuthor | Lagrangian multiplier | - |
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