File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김남훈

Kim, Namhun
UNIST Computer-Integrated Manufacturing Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.number 1 -
dc.citation.startPage 105948 -
dc.citation.title APPLIED SOFT COMPUTING -
dc.citation.volume 88 -
dc.contributor.author Sarkar, Biswajit -
dc.contributor.author Omair, Muhammad -
dc.contributor.author Kim, Namhun -
dc.date.accessioned 2023-12-21T17:51:15Z -
dc.date.available 2023-12-21T17:51:15Z -
dc.date.created 2020-01-28 -
dc.date.issued 2020-03 -
dc.description.abstract Many industries are facing big challenges to design supply chains in a way to maximize the profit and meet the heightened expectations of the customer. This new era entirely relies on the dynamic advantages of competition and the role played by the collaboration policy. A global economy and increasing demand have put a huge pressure on supply chain partners to build a collaboration policy based on price, order quantity, and advertising. Companies are adopting the idea of "shaking hands" to obtain more profit instead of taking risks through competition. Cooperative (co-op) advertising is a significant policy of centralized supply chain management (SCM) to boost the revenues generated by the supplier, manufacturer, and retailers. The uncertain costs associated with the supply chain management also create obstacles in economic analysis and feasibility. These uncertainties are associated with the basic costs of all supply chain partners, which are represented using a signed distance formula. This paper develops the concept of co-op advertising among the supplier, manufacturer, and retailers with a variable demand driven by selling price and advertising costs, where all basic costs are considered as fuzzy. The profit is optimized by considering variable cycle time, shipments, pricing and advertising costs for the decision support system of the supply chain management. The optimal results of the co-op advertisement ensured an increase in the revenue of whole supply chain. (C) 2019 Elsevier B.V. All rights reserved. -
dc.identifier.bibliographicCitation APPLIED SOFT COMPUTING, v.88, no.1, pp.105948 -
dc.identifier.doi 10.1016/j.asoc.2019.105948 -
dc.identifier.issn 1568-4946 -
dc.identifier.scopusid 2-s2.0-85077061569 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/30935 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S156849461930729X?via%3Dihub -
dc.identifier.wosid 000515094200001 -
dc.language 영어 -
dc.publisher ELSEVIER -
dc.title A cooperative advertising collaboration policy in supply chain management under uncertain conditions -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications -
dc.relation.journalResearchArea Computer Science -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Supply chain management -
dc.subject.keywordAuthor Three-echelon supply chain -
dc.subject.keywordAuthor Collaboration policy -
dc.subject.keywordAuthor Advertisement cost -
dc.subject.keywordAuthor Fuzzy costs -
dc.subject.keywordPlus PRODUCTION-INVENTORY MODEL -
dc.subject.keywordPlus CARBON EMISSION -
dc.subject.keywordPlus NETWORK DESIGN -
dc.subject.keywordPlus COORDINATION -
dc.subject.keywordPlus IMPERFECT -
dc.subject.keywordPlus STRATEGY -
dc.subject.keywordPlus COST -
dc.subject.keywordPlus MANUFACTURERS -
dc.subject.keywordPlus MULTIPRODUCT -
dc.subject.keywordPlus SIMULATION -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.