A lot sizing model with partial downstream delayed payment, partial upstream advance payment, and partial backordering for deteriorating items. (October 2017)

• Record Type: Journal Article
• Authors: Diabat, Ali; Taleizadeh, Ata Allah; Lashgari, Mohsen
• Is Part Of: Journal of manufacturing systems. Volume 45(2017)
• Page Start: 322
• Page End: 342
• Publication Date: 2017-10
• Subjects: Lot sizing -- Trade credit -- Advance payment -- Deteriorating items; Manufacturing processes -- Periodicals; Production engineering -- Data processing -- Periodicals; Robots, Industrial -- Periodicals; Production, Technique de la -- Informatique -- Périodiques; Robots industriels -- Périodiques; Electronic journals; 670.42
• DOI: 10.1016/j.jmsy.2017.04.005
• Languages: English
• ISSNs: 0278-6125

Abstract

Highlights: An inventory model with partial upstream prepayment, partial downstream delayed payment is developed. Shortage is permitted and partial backordering is assumed. This research thus far has not accounted for both delayed payment and advanced payment policies together. The developed model has enough flexibility to generate different (nine) models. Another contribution of the current work is that it allows for adopting any of above assumptions. Abstract: In practice, installment of cost of lots is very common between manufacturers and distributors, and many distributors pay the purchasing cost in equal installments (i.e., an upstream partial prepayment). In a similar fashion, distributors allow retailers to pay the cost of purchased goods after such goods are received (i.e., a downstream partial delay payment). In this research we apply a model of economic order quantity (EOQ) in supply chains with partial downstream delayed payment and partial upstream advance payment for a deteriorating item under three conditions: 1) shortage is not allowed, 2) full back ordering is allowed, and 3) partial back ordering is allowed. We prove the convexity of the cost functions and derive closed form global optimal solutions for the decision variables of all models. Eventually, to demonstrate the theoretical results and managerial options, we perform some computational examples.