{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T03:47:40Z","timestamp":1767066460558,"version":"3.41.2"},"reference-count":15,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emeraldinsight.com\/page\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJPCC"],"published-print":{"date-parts":[[2019,4,1]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The use of Internet of Things (IoT) and networks has built a potential impact on the product cost and time in a company\u2019s manufacturing process. These IoT solutions provide end-to-end visibility and faster introduction of merchandise and supplier in the market. The main aim of this research paper is to supply products with improved quality and cheaper price, whereas the rising response and quality of the client service.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This paper designs and develops two cases for selecting the most efficient vendor while keeping in mind the profit and cost constraints in optimization.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Outsourcing is a vital parameter to cut back the price and maximize the profit of the manufacturer. Therefore, the integration of supply chain with IoT can provide a solution to the cost optimization and supplier\/vendor selection problems in supply chain management.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>The results show that the models are quite realistic and can help the IoT-based manufacturing units to make strategic decisions regarding product manufacturing and distribution.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>The authors can further extend the model to derive the retailer\u2019s profit function and develop the end product cost to the consumers and hence make it a <jats:italic>n<\/jats:italic>-level multi-vendor selection model for IoT-based systems.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The right choice of vendor for IoT-enabled business is a crucial concern. In this paper, the authors designed and developed multi-vendor models with in-house production and outsourcing decisions to meet the demand along with the vendor selection. The variable demands and designed variable unit cost function and batch order are set to make vendor selection more realistic.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijpcc-d-18-00022","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T07:25:41Z","timestamp":1548314741000},"page":"16-19","source":"Crossref","is-referenced-by-count":9,"title":["Supplier selection problem in IoT solutions"],"prefix":"10.1108","volume":"15","author":[{"given":"Sonal","family":"Agarwal","sequence":"first","affiliation":[]},{"given":"Vidushi","family":"Sharma","sequence":"additional","affiliation":[]},{"given":"Anuradha","family":"Pughat","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"1","key":"key2019072309381225200_ref001","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.cie.2006.07.011","article-title":"A genetic algorithm approach for multi-objective optimization of supply chain 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