 A multi-constraint integrated vendor-buyer problem with beta distributed defective items under stochastic demandNughthoh Arfawi Kurdhi International Journal of Business Performance and Supply Chain Modelling, 2021, vol. 12, issue 3, 233-258 Abstract: This study develops a multi-constraint stochastic integrated system involving a buyer and a vendor with a service level constraint, defective items, the limited buyer's storage space, and the maximum permissible set-up cost for the vendor. The reorder point, set-up cost, lead time, shipment quantity, and the number of deliveries are decision variables. The vendor sells the items to the buyer in a certain number of lots. There are some imperfect quality (defective) items in the arrival lot, and the defective rate is viewed as a beta random variable. The demand has a normal distribution. The shortage is permitted and it is partially backlogged. The Karush-Kuhn-Tucker approach is implemented to solve the discussed model that minimise the joint cost. Sensitivity analyses are performed to provide managerial implications. Using a profit-sharing structure, although both the vendor and the buyer have some business constraints, we observe that they can benefit from the coordinated supply chain. Keywords: collaborative inventory model; defective items; investment; Karush-Kuhn-Tucker; service level constraint; set-up cost reduction; controllable lead time. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:233-258 Access Statistics for this article More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd |
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