A periodic review inventory model involving fuzzy expected demand short and fuzzy backorder rate

A stochastic periodic review integrated inventory model involving defective items, backorder price discount, and variable lead time

“…Next, Donaldson (1984) presented a periodic review inventory model with normal demand and derived the optimality conditions for the order-up-to level and the review period. Other related periodic review inventory model studies include Ouyang and Chuang (2001), Ouyang et al (2005Ouyang et al ( , 2007b, Lin (2008). However, all the aforementioned periodic review inventory models focused on determining optimal policy for the retailer only.…”

A fuzzy random EPQ model for imperfect quality items with possibility and necessity constraints

“…Wang and Tang [19] assumed it as a fuzzy variable, while Zhang et al [20] assumed it as a random fuzzy variable. Authors' like [21][22][23][24] extended the classical continuous review and periodic review inventory models in fuzzy random environment. Dey and Chakraborty [21] and Dutta et al [22] considered lead-time demand as fuzzy variables and annual demand as discrete FRVs.…”

“…Dey and Chakraborty [21] and Dutta et al [22] considered lead-time demand as fuzzy variables and annual demand as discrete FRVs. Chang et al [23] and Lin [24] considered lead-time demand as FRVs, while annual demand as fuzzy numbers. Recently, Jana et al [25] developed a fuzzy inventory model for deteriorating items, wherein the scheduling period is taken as a random variable while budget and space constraints are taken in fuzzy and random fuzzy sense.…”

A single-vendor single-buyer supply chain coordination model with price discount and benefit sharing in fuzzy environment

“…Tutunchu and Akoz (2008) used fuzzy setup cost, holding cost and shortage cost, and defuzzified by Park's Median Rule. Lin (2008) fuzzified the expected demand, shortage and backorder rate and used signed distance method to defuzzify the cost function obtained in the fuzzy sense. Sadi-Nezhad et al (2011) in their continuous review inventory model fuzzified the setup cost, holding cost and shortage cost and defuzzified by signed distance and possibilistic mean value methods.…”