A perishable inventory system with service facilities and retrial customers

Manuel, Paul; Sivakumar, B.; Arivarignan, G.

doi:10.1016/j.cie.2007.08.010

Cited by 47 publications

(14 citation statements)

References 21 publications

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“…Krishnamoorthy et al (2006b) introduced an additional control policy (N − policy) into (s, S) inventory system with positive service time. In Manuel et al (2007Manuel et al ( , 2008 the perishable queueing-inventory systems with Markovian arrival process (MAP) were studied. The joint probability distributions of the number of customers in the system and the inventory level were obtained for the steady state case.…”

Section: Introductionmentioning

confidence: 99%

A continuous review (s, S) inventory system with postponed demands at service facility

Jenifer¹

2019

EJIE

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In this article, we present a continuous review (s, S) inventory system with a service facility consisting of finite waiting hall (capacity N ) and a single server. The customers arrive according to a Poisson process. The individual customer's unit demand is satisfied after a random time of service, which is assumed to be exponential. An arriving customer, who finds the waiting hall is full, enters into the pool of infinite size or leaves the system which is according to a Bernolli trial. The joint probability distribution of the number of customers in the pool, number of customers in the waiting hall and the inventory level is obtained in the steady-state case. Various stationary system performance measures are computed and total expected cost rate is calculated. The results are illustrated numerically. [

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Section: Introductionmentioning

confidence: 99%

A continuous review (s, S) inventory system with postponed demands at service facility

Jenifer¹

2019

EJIE

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“…The perishable QIS models (PQIS) with the repeated customers (feedback) were less investigated according to our literature research. The articles we found on the subject are [12] and [13]. The system with phase-type distributed positive service time and the MAP flow was studied in [13].…”

Section: Introductionmentioning

confidence: 99%

“…The articles we found on the subject are [12] and [13]. The system with phase-type distributed positive service time and the MAP flow was studied in [13]. The inventory replenishment time (lead time), sojourn time in the orbit and the inventory perishing time are described with the exponentially distributed random variables (e.r.v).…”

Section: Introductionmentioning

confidence: 99%

“…In [12] considered the model with the simple Poisson flow, instantenous service time and server vacations. Likewise in [13], system applies the (s, S) for the inventory replenishment and the replenishment order lead time, orbit sojourn time and inventory perishing time are e.r.v. The server goes for a vacation whenever the inventory level reaches zero.…”

Section: Introductionmentioning

confidence: 99%

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Simulation Model of Infinite Perishable Queueing Inventory System with Feedback

Shahmaliyev¹

2018

Upr. sist. maš.

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Perishable Queuing Inventory system with positive service time and customer feedback is considered. The system applies Variable Size Order policy for the inventory replenishment. Stochastic simulation method is used to calculate the system performance measures and find its stationary distribution. The dependence of performance measures on the reorder level is illustrated and analyzed using the numerical experiments.

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“…Hill (2007) considered continuous-review inventory models with no fixed order cost, lost-sales, and a Poisson demand process to minimize the long run total cost and explore alternative approaches which might offer better solutions. Manuel et al (2007) and Manuel et al (2008) investigated a perishable queuing-inventory system with Markovian arrival process. Haji et al (2011) presented an integrated queuing-inventory system in a Two-level Supply Chain.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Soft Computing-Based Approaches to Optimize Inventory-Queuing-Pricing Problem under Fuzzy Considerations

Alinezhad¹,

Mahmoudi²,

Hajipour³

2016

Industrial Engineering and Management Systems

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Due to uncertain environment, various parameters such as price, queuing length, warranty, and so on influence on inventory models. In this paper, an inventory-queuing-pricing problem with continuous review inventory control policy and batch arrival queuing approach, is presented. To best of our knowledge, (I) demand function is stochastic and price dependent; (II) due to the uncertainty in real-world situations, a fuzzy programming approach is applied. Therefore, the presented model with goal of maximizing total profit of system analyzes the price and order quantity decision variables. Since the proposed model belongs to NP-hard problems, Pareto-based approaches based on non-dominated ranking and sorting genetic algorithm are proposed and justified to solve the model. Several numerical illustrations are generated to demonstrate the model validity and algorithms performance. The results showed the applicability and robustness of the proposed soft-computing-based approaches to analyze the problem.

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A perishable inventory system with service facilities and retrial customers

Cited by 47 publications

References 21 publications

A continuous review (<i>s</i>, <i>S</i>) inventory system with postponed demands at service facility

A continuous review (<i>s</i>, <i>S</i>) inventory system with postponed demands at service facility

Simulation Model of Infinite Perishable Queueing Inventory System with Feedback

Multi-Objective Soft Computing-Based Approaches to Optimize Inventory-Queuing-Pricing Problem under Fuzzy Considerations

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