A hybrid inventory policy with split delivery under regular and surge demand

Roni, Mohammad; Ekşioğlu, Sandra D.; Jin, Mingzhou; Mamun, Saleh

doi:10.1016/j.ijpe.2015.11.015

Cited by 28 publications

(13 citation statements)

References 52 publications

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“…By ensuring adequate preparation, practitioners reduce uncertainty surrounding disaster probability and magnitude by implementing strategies that shift the impact of such events towards an acceptable level in accordance with accepted risks and trade-offs (Crowther et al, 2007). Additionally, HRSCs may invest in holding additional inventory in reserve to increasing service levels (Roni et al, 2016), enhancing the capacity to meet surges in demand (Kamalahmadi and Parast, 2016;Sheffi and Rice, 2005). Other considerations during this stage include those pertaining to pre-positioning strategies (Heaslip and Barber, 2014;Long and Wood, 1995) or efforts made to acquire additional flexibility in logistics arrangements proactively (Heaslip and Barber, 2014).…”

Section: Disasters' Influence On Hrsc Designmentioning

confidence: 99%

“…Such investments may include pre-positioning resources for rapid deployment (Oloruntoba and Gray, 2006) and the establishment of expediting hubs (Mamani and Moinzadeh, 2014), both of which allow for critical aid to be provided within a quick time-frame (Balcik and Beamon, 2008). These strategies allow demand surges to be met in the immediate aftermath of a disaster occurring (Beamon and Kotleba, 2006) through the development of hybrid inventory management strategies to satisfy both constant and surge demand (Roni et al, 2016). Hybrid strategies with surge orders may provide cost benefits for the HRSC if backorder costs are high ( Johansen and Thorstenson, 1998).…”

Section: Risk Perceptionsmentioning

confidence: 99%

“…Whilst there is no single model for supply chain design in all contexts (Melnyk et al, 2014), an important component of supply chain design is determining how an effective design is achieved that serves to meet relevant performance goals (Beamon, 1998). The current models used to design HRSCs, although flawed, are a product of decision making under uncertainty and the uncertain As HRSCs respond to surges in demand that cannot be met by existing mechanisms, external inputs are required to satisfy aid recipients' needs (Day, 2014), with time to delivery being a common critical factor to minimise losses (Roni et al, 2016). Although the surge in demand bears conceptual similarities to commercial supply chains, the pattern of demand differs due to discrepancies surrounding demand rates (Beamon and Balcik, 2008); therefore, knowledge cannot be simply transferred from commercial to HRSC supply chains (Charles et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Humanitarian relief supply chain design beneficiary needs. The identification of needs allows hybrid inventory strategies to be developed to better respond to both regular and surge demand rates (Roni et al, 2016). The development of anticipated demand-led strategies can also act as a buffer to counter the unique demand patterns of disasters (Beamon and Kotleba, 2006).…”

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confidence: 99%

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A disaster typology towards informing humanitarian relief supply chain design

Mackay

Muñoz

Pepper

2019

JHLSCM

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Purpose The purpose of this paper is to construct a typology of a disaster that informs humanitarian-relief supply chain (HRSC) design across the stages of disaster relief. Design/methodology/approach In addition to an interdisciplinary review of pertinent literature, this paper utilises a typology construction method to propose theoretically and methodologically sound dimensions of disasters. Findings Whilst semantic arguments surrounding the concept of a “disaster” are ongoing, the authors propose three typologies based upon six dimensions that serve as interdependent variables informing resultant HRSC design considerations. These are speed of onset, time horizon, spatial considerations, affected population needs, perceived probability of occurrence and perceived magnitude of consequence. These combinational and independent relationships of the variables offer insight into key HRSC design-making considerations. Research limitations/implications The study improves conceptual knowledge of disasters, distilling the concept to only the dimensions applicable to HRSC design, omitting other applications. The typologies provide empirical cell types based on extant literature, but do not apply the models towards new or future phenomena. Practical implications This paper provides HRSC practitioners with normative guidance through a more targeted approach to disaster relief, with a focus on the impacted system and resulting interactions’ correspondence to HRSC design. Originality/value This paper provides three typological models of disasters uniquely constructed for HRSC design across the various stages of disaster relief.

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Section: Disasters' Influence On Hrsc Designmentioning

confidence: 99%

Section: Risk Perceptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A disaster typology towards informing humanitarian relief supply chain design

Mackay

Muñoz

Pepper

2019

JHLSCM

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“…It is observed that although the nature of demand and supply in the healthcare setting is stochastic, a limited number of papers consider this aspect (Nicholson et al [2], Saedi et al [3], Vila-Parrish et al [6]). Apart from that, the common replenishment policies considered are continuous review policy with parameters: order quantity and reorder point (Roni et al [7]), and periodic review policy with parameters: review period and maximum inventory level (Gebicki et al [8]). Furthermore, the different types of healthcare inventory models are classified based on the objective functions, decision variables, and constraints and it is observed that most of the literature considered cost model i.e.…”

Section: Review Of Literaturementioning

confidence: 99%

Modelling and analysis of healthcare inventory management systems

Saha

Ray

2019

OPSEARCH

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The core competency of the healthcare system is to provide treatment and care to the patient. The prime focus has always been towards appointing specialized physicians, well-trained nurses and medical staffs, well-established infrastructure with advanced medical equipment, and good quality pharmacy items. But, of late, the focus is driven towards management side of healthcare systems which include proper capacity planning, optimal resource allocation, and utilization, effective and efficient inventory management, accurate demand forecasting, proper scheduling, etc. and may be dealt with a number of operations research tools and techniques. In this paper, a Markov decision process inventory model is developed for a hospital pharmacy considering the information of bed occupancy in the hospital. One of the major findings of this research is the significant reduction in the inventory level and total inventory cost of pharmacy items when the demand for the items is considered to be correlated with the number of beds of each type occupied by the patients in the healthcare system. It is observed that around 53.8% of inventory cost is reduced when the bed occupancy state is acute care, 63.9% when it is rehabilitative care, and 55.4% when long-term care. This may help and support the healthcare managers in better functioning of the overall healthcare system.

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Disruptions, systems and individual agents—Exploring the intersections

2022

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Open systems possess a dilemma whereby they both depend upon‐and are subject to disruptions arising from‐their exogenous environments. Organisations display this dilemma through the need to both manage the inbound flow of supply from upstream nodes and outputs towards downstream customers, whilst also managing issues arising from interactions with these other systems. At the centre of this dilemma sits individual agents, whether they be managers of organisations, business‐level functions or customer‐facing roles. This paper explores how individuals perceive and react towards disruptions and the wider, systemic implications of their actions. This article uses interviews with individuals based on a theoretical framework incorporating general systems theory (GST) and a series of decision theories (namely Protection Motivation Theory) to highlight the commonalities across various actions and strategies that individuals can undertake to address disruptions.

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A hybrid inventory policy with split delivery under regular and surge demand

Cited by 28 publications

References 52 publications

A disaster typology towards informing humanitarian relief supply chain design

A disaster typology towards informing humanitarian relief supply chain design

Modelling and analysis of healthcare inventory management systems

Disruptions, systems and individual agents—Exploring the intersections

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