A robust possibilistic programming approach to multi-period location–allocation of organ transplant centers under uncertainty

Zahiri, Behzad; Tavakkoli–Moghaddam, Reza; Pishvaee, Mir Saman

doi:10.1016/j.cie.2014.05.008

Cited by 95 publications

(42 citation statements)

References 21 publications

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“…Robust optimization has been adopted as an effective tool for the optimal design and management of supply chains operating in uncertain environments (Jabbarzadeh et al, 2014). Practical applications of robust optimization have been investigated in relief supply chains (Ben-Tal et al 2011;Bozorgi-Amiri et al, 2011), blood supply chains (Jabbarzadeh et al, 2014), organ transplant (Zahiri et al, 2014), and logistics planning (Pishvaee et al 2012). A solution to an optimization is said to be robust if it has both feasibility robustness and optimality robustness.…”

Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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Abstract:Resource sharing, as a coordination mechanism, can mitigate disruptions in supply and changes in demand. It is particularly crucial for platelets because they have a short lifespan and need to be transferred and allocated within a limited time to prevent waste or shortages. Thus, a coordinated model comprised of a mixed vertical-horizontal structure, for the logistics of platelets, is proposed for disaster relief operations in the response phase. The aim of this research is to reduce the wastage and shortage of platelets due to their critical role in wound healing. We present a biobjective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty. Computational results, derived using a heuristic -constraint algorithm, are reported and discussed to show the applicability of the proposed model. The experimental results indicate that surpluses and shortages in platelets remarkably declined following instigation of a coordinated disaster relief operation.

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Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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“…Several authors have considered these categories separately (Shariff et al, 2012;Papageorgiou, 1978;Benneyan et al, 2012;Syam and Côté, 2012;Kong et al, 2010), while integrating them to make a more realistic model is needed. Towards this goal, Zahiri et al (2014) presented a mathematical model for multi-period locationallocation of organ transplant centers under uncertainty and used robust possibilistic programming approach to solve the problem. Minimizing the total cost was the sole objective of the model presented.…”

Section: Optimizing Organ Transplant Supply Chainsmentioning

confidence: 99%

“…A case study in Belgian was also presented. Zahiri et al (2014) presented a mathematical model for multi-period location-allocation of organ transplant centers under uncertainty with minimization of the total costs as the objective function. To cope with epistemic uncertainty of input data, they have utilized a robust possibilistic programming approach.…”

Section: Optimizing Organ Transplant Supply Chainsmentioning

confidence: 99%

Multi-objective design of an organ transplant network under uncertainty

Zahiri

Tavakkoli–Moghaddam

Mohammadi

et al. 2014

Transportation Research Part E: Logistics and Transportation Re

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“…As a kind of dynamic facility location models (see the review [16]), multiperiod facility location model divides the planning horizon into several time periods, which helps to better deal with the time-varying parameters [17]. Till now, a large number of researches have been done on multiperiod facility location models [18][19][20][21]. However, there are few literatures involving multiperiod HFLP models.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiperiod Hierarchical Location Problem of Transit Hub in Urban Agglomeration Area

Song

et al. 2017

Mathematical Problems in Engineering

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With the rapid urbanization in developing countries, urban agglomeration area (UAA) forms. Also, transportation demand in UAA grows rapidly and presents hierarchical feature. Therefore, it is imperative to develop models for transit hubs to guide the development of UAA and better meet the time-varying and hierarchical transportation demand. In this paper, the multiperiod hierarchical location problem of transit hub in urban agglomeration area (THUAA) is studied. A hierarchical service network of THUAA with a multiflow, nested, and noncoherent structure is described. Then a multiperiod hierarchical mathematical programming model is proposed, aiming at minimizing the total demand weighted travel time. Moreover, an improved adaptive clonal selection algorithm is presented to solve the model. Both the model and algorithm are verified by the application to a reallife problem of Beijing-Tianjin-Hebei Region in China. The results of different scenarios in the case show that urban population migration has a great impact on the THUAA location scheme. Sustained and appropriate urban population migration helps to reduce travel time for urban residents.

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A robust possibilistic programming approach to multi-period location–allocation of organ transplant centers under uncertainty

Cited by 95 publications

References 21 publications

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Multi-objective design of an organ transplant network under uncertainty

Multiperiod Hierarchical Location Problem of Transit Hub in Urban Agglomeration Area

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