The inventory centralization impacts on sustainability of the blood supply chain

Hosseinifard, Zahra; Abbasi, Babak

doi:10.1016/j.cor.2016.08.014

Cited by 114 publications

(60 citation statements)

References 27 publications

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“…The benefits of centralization in the blood supply chain are well documented in the literature . Economy of scale is a key driver of centralization.…”

Section: Introductionmentioning

confidence: 99%

Designing the blood supply chain: how much, how and where?

et al. 2018

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“…The benefits of centralization in the blood supply chain are well documented in the literature . Economy of scale is a key driver of centralization.…”

Section: Introductionmentioning

confidence: 99%

Designing the blood supply chain: how much, how and where?

et al. 2018

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“…In order to address shortages and outdates of blood, coordination between hospitals and blood banks have gained special attention among researchers (Beliën & Forcé, ). This covers such ideas as allocation policies of a perishable product from a regional center to different locations in the region (Kendall, ; Federgruen, Prastacos, & Zipkin, ; Tetteh, ), discussing a redistribution system for near‐outdate RBCs to transport units that are about to outdate from a low‐usage hospital to a high‐usage hospital (Denesiuk, Richardson, Nahirniak, & Clarke, ), collections planning for regional blood centers to smooth seasonal variability of supply and demand for blood (Cumming, Kendall, Pegels, Seagle, & Shubsda, ), developing a blood inventory level forecast system to alert regional blood centers (Frankfurter, Kendall, & Pegels, ), investigating various issuing policies implemented in regional blood banks with uncontrollable replenishment (Abbasi & Hosseinifard, ), and finally papers dealing with transshipment and the issue of whether a centralized system outperforms a decentralized system (Dehghani & Abbasi, ; Hosseinifard & Abbasi, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Postdisaster Volatility of Blood Donations in an Unsteady Blood Supply Chain*

et al. 2019

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The stochastic behavior of both transfusion (demand) and blood donations (collection) is a challenge for the blood supply chain. Although donations are not fully within the control of blood supply chain, the blood service can marginally moderate it by postponing appointments in the case of having an overstock, or by triggering a call for additional blood when faced with shortages. Such shortages are often observed as a consequence of catastrophic events. Past studies show that the response to a call for blood after a disaster is substantive. Yet the consequential impact on the supply chain is not well understood. This is due to the perishability of blood and the fact that donors are not eligible to give blood for a certain period after a donation has been made. In this study, the donation process is modeled with a Markov chain and the impact of a call for blood resulting from a disaster is investigated. This article highlights new actionable insights that aid planners to mitigate the negative impacts of a substantial response to a call for blood.

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“…Using a policy as a parameter means that it can be changed to allow the analyst to see various scenarios. [23] sought to determine how the centralization of inventory could be beneficial in managing a perishable supply network. Specifically, the case under consideration was a blood supply chain with inventory located at a single blood bank and being supplied to multiple hospitals.…”

Section: Fifo and Lifo Issuance Policiesmentioning

confidence: 99%

Assessment of the Quality and Sustainability Implications of FIFO and LIFO Inventory Policies through System Dynamics

Ching¹,

Mutuc²,

Jose³

2019

Adv. sci. technol. eng. syst. j.

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Perishable inventory management contributes simultaneously to society and the economy, by reducing food wastage and capitalizing on the freshness of goods. For this reason, countless mathematical models have been developed for their effectiveness and costefficient management. Yet, the majority of these models can only optimize systems for a limited time frame, allowing for small gains in operations management, but failing to change the recurring patterns in inventory levels. System dynamics (SD) modelling shifts emphasizes these patterns and the recurring decisions that make them. Moreover, the framework has generated insight for other supply chain cases that could not have been derived from a short-term perspective. Thus, the current study now seeks to apply the SD framework in modelling perishable inventory systems, in designing policies that benefit the environment and the economy by reducing waste production and increasing the viability of goods reaching the customer. In particular, it evaluates the impact of opposing issuance policies (i.e. First-In-First-Out (FIFO) and Last-In-First-Out (LIFO)) on perishables to demonstrate the potential of SD in improving perishable inventory management. The simulated results share the sentiments of optimization models, that FIFO will ultimately generate less wastes and incur less material costs. Yet, the simulations also reveal implementing FIFO will result in larger fluctuations in inventory levels, which imply greater inconsistency in age-based quality. These suggest that LIFO would be preferable for quality-sensitive products, while FIFO would be preferable for cases sensitive to waste production. The current study demonstrates the efficiency of system dynamics in generating insight beyond that which can be derived from the existing mathematical models. Future studies may likewise extend this approach in the evaluation of policies on the use of technology in perishable inventory systems, which are the prevalent in present literature.

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The inventory centralization impacts on sustainability of the blood supply chain

Cited by 114 publications

References 27 publications

Designing the blood supply chain: how much, how and where?

Designing the blood supply chain: how much, how and where?

Postdisaster Volatility of Blood Donations in an Unsteady Blood Supply Chain*

Assessment of the Quality and Sustainability Implications of FIFO and LIFO Inventory Policies through System Dynamics

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