Fuzzy mixture two warehouse inventory model involving fuzzy random variable lead time demand and fuzzy total demand

Panda, Debdulal; Rong, Mahendra; Maiti, Manoranjan

doi:10.1007/s10100-013-0284-9

Cited by 9 publications

(2 citation statements)

References 23 publications

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“…In these cases, it is more reasonable to adopt a suitable possibility distribution for each demand based upon the available (but often insufficient) objective data as well as subjective opinions of DMs, or a fully subjective (preference-based) fuzzy set for each judgmental data based upon expert's subjective knowledge, experience and professional feelings. Though, in both cases, fuzzy programming approaches should be used to cope with such vague uncertainties (Panda et al 2014). Herein, these variants of IRPs are called IRPs with "hybrid uncertainty" since we are dealing with a mixture of uncertain data (i.e., fuzzy and random data) in our problem.…”

Section: Uncertain Modelingmentioning

confidence: 99%

The Inventory Pollution-Routing Problem Under Uncertainty

Malekly

2015

Greening of Industry Networks Studies

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Carbon emissions from supply chain operations are extensively contributing to the global warming. Sustainable supply chain management literature has seen more emphasis on greening of production operations and designing of greener supply networks, considering transportation emissions as "necessary evil". This chapter aims to investigate the economic and environmental consequences of transport routing decisions in a supply chain with vertical collaboration, for instance through Vendor Managed Inventory. An optimization model and solution method is presented for an Inventory Pollution-Routing Problem (IPRP) in which inventory and transportation costs and emissions as well as demand uncertainty concerns are explicitly incorporated. The proposed model can be used to explore possible tradeoffs between emissions costs and operational costs for green inventory routing decision making. A set of computational tests are designed for performance benchmark of the proposed model and solution method.

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Section: Uncertain Modelingmentioning

confidence: 99%

The Inventory Pollution-Routing Problem Under Uncertainty

Malekly

2015

Greening of Industry Networks Studies

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“…Very recently, Yadav et al (2013) developed a three-stage supply chain under fuzzy random demand and production rate with imperfect production process. Panda et al (2014) studied a two-warehouse inventory model with fuzzy random variable lead-time and fuzzy demand. For the continuous and periodic review models, Chang et al (2004), Dutta et al (2007) and Lin (2008) assumed the lead-time/lead-time plus one period's demand to be independent of the annual customer demand.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy random continuous review inventory model with a mixture of backorders and lost sales under imprecise chance constraint

Dey

Giri

Chakraborty

2016

IJOR

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The article investigates a constrained continuous review inventory system with a mixture of backorders and lost sales. The proposed model is developed with the annual customer demand incorporated as a fuzzy random variable. The lead-time is assumed to be constant while the lead-time demand is assumed to be connected to the annual fuzzy random demand through the length of the lead-time. A budget constraint is imposed on the model in the form of an 'imprecise' chance constraint to present a possible way of quantifying fuzzily defined uncertain information of the constraint. A methodology is proposed to determine the optimal order quantity and the reorder point such that the total cost incurred is minimised subject to the constraint. A numerical example is given to illustrate the proposed methodology.

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Continuous Review Inventory Model with Normally Distributed Fuzzy Random Variable Demand

Khan

Dey

2018

Int. J. Appl. Comput. Math

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Fuzzy mixture two warehouse inventory model involving fuzzy random variable lead time demand and fuzzy total demand

Cited by 9 publications

References 23 publications

The Inventory Pollution-Routing Problem Under Uncertainty

The Inventory Pollution-Routing Problem Under Uncertainty

A fuzzy random continuous review inventory model with a mixture of backorders and lost sales under imprecise chance constraint

Continuous Review Inventory Model with Normally Distributed Fuzzy Random Variable Demand

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