Designing a bi-objective multi-echelon robust blood supply chain in a disaster

Habibi-Kouchaksaraei, Mitra; Paydar, Mohammad Mahdi; Asadi-Gangraj, Ebrahim

doi:10.1016/j.apm.2017.11.004

Cited by 86 publications

(34 citation statements)

References 24 publications

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“…In this research, the bi-objective model turns into a single one. The weighted normalized goal programming model is one of the most important multi-objective solution approaches [22]. In this method, undesirable deviations between the actual results and their aspiration levels are minimized.…”

Section: Weighted Normalized Goal Programmingmentioning

confidence: 99%

“…Many scholars designed supply chain network models based on real case studies. Some of the investigated products in the previous researches are engine oil [38], polyethylene terephthalate bottles [36], blood supply chain [22], tire [59], evaporative cooler [6], automobile part manufacturing industry [45], automotive industry [56], self-healing polymers [46], food supply chain [63], textile [54] electronic products [55].…”

Section: Introductionmentioning

confidence: 99%

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Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

2021

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These days, clothing companies are becoming more and more developed around the world. Due to the rapid development of these companies, designing an efficient clothing supply chain network can be highly beneficial, especially with the remarkable increase in demand and uncertainties in both supply and demand. In this study, a bi-objective stochastic mixed-integer linear programming model is proposed for designing the supply chain of the clothing industry. The first objective function maximizes total profit and the second one minimizes downside risk. In the presented network, the initial demand and price are uncertain and are incorporated into the model through a set of scenarios. To solve the bi-objective model, weighted normalized goal programming is applied. Besides, a real case study for the clothing industry in Iran is proposed to validate the presented model and developed method. The obtained results showed the validity and efficiency of the current study. Also, sensitivity analyses are conducted to evaluate the effect of several important parameters, such as discount and advertisement, on the supply chain . The results indicate that considering the optimal amount for discount parameter can conceivably enhance total profit by about 20% compared to the time without this discount scheme. When we take the optimized parameter into account for advertisement, 12% is obtained for the total profit. Based on our findings, the more the expected profit value, the higher the total amount of total profit and risk. The results of this research also provide some interesting managerial insights for managers.

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Section: Weighted Normalized Goal Programmingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

2021

Self Cite

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“…Of the nine articles that address the blood supply chain in the event of a crisis situation, the majority of these also include location/clinic planning [18,[21][22][23]25,30,46,48] with the remaining article focussing on vehicle routing [32]. This is due to the importance of facilities (collection and processing) being located in an accessible area for a responsive and reliable supply chain.…”

Section: Crisis Situationmentioning

confidence: 99%

“…Most of the publications include a case study [18,22,23,25,30,46] with all of these based on the scenario of an earthquake in various cities in Iran. There is a lack of research within this area from elsewhere in the world, particularly studying disasters with anthropogenic causes.…”

Section: Crisis Situationmentioning

confidence: 99%

Modeling of the collections process in the blood supply chain: A literature review

Williams

Harper

Gärtner

2020

IISE Transactions on Healthcare Systems Engineering

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Human blood is a scarce resource and its role in healthcare is fundamental, with donated blood saving the lives of many on a daily basis. The blood supply chain is responsible for the transfer of blood from donor to the recipient, but the availability of such an invaluable resource as human blood is ultimately attributable to the many voluntary donors. Thus, the efficiency of the collection of donated blood is crucial to the downstream effectiveness of the blood supply chain.We provide a detailed review on the use of quantitative methods for the process of blood collection from donors. We describe the functional areas which are appointment scheduling, collection policy, crisis situation, donor demographics, location/clinic planning, staff utilisation and vehicle routing. Furthermore, we analyse the existing literature with regards to methods, modelling objectives and the planning levels such as strategic, tactical and operational. Finally, we break down the articles into whether or not case studies lead to the implementation of the methods in practice. In total, we review 46 relevant publications on the intersection between OR/MS and other disciplines. We use our presented framework to categorise the existing approaches and highlight gaps such as scheduling of both staff and appointments for blood donation clinics.

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“…Ebrahimi [32] proposed a bi-objective mixed-integer non-linear programming model to maximize customer satisfaction and, also, e ciency of the network. Habibi-Kouchaksaraei et al [33] presented a robust optimization model for designing a bi-objective multi-period blood supply chain network in disaster with the aim of minimizing costs and shortage of blood.…”

Section: Introductionmentioning

confidence: 99%

A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty

2018

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Selecting the most suitable optimal point among Pareto optimal points could help experts make an appropriate decision in an uncertain and complex situation. In this paper, an evaluation and ranking approach is proposed based on a hesitant fuzzy set environment to assess the Pareto optimal points obtained through the proposed biobjective multi-echelon supply chain model by locating distribution centers. In this respect, the proposed model has been utilized for perishable products based on fuzzy customers' demand. To address this issue, the possibilistic chance-constrained programming approach has been utilized based on the trapezoidal fuzzy membership function. Moreover, the proposed hesitant fuzzy ranking approach is constructed based on group decision analysis and the last aggregation approach. Thereby, the last aggregation approach by aggregating the experts' opinions in the last step could prevent the data loss. However, a case study about the perishable dairy products is considered to indicate the applicability of the proposed bi-objective multi-echelon supply chain model by locating distribution centers. Finally, a comparative analysis is provided between the obtained results and the current practice to show the feasibility and e ciency of the proposed approach.

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Designing a bi-objective multi-echelon robust blood supply chain in a disaster

Cited by 86 publications

References 24 publications

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

Modeling of the collections process in the blood supply chain: A literature review

A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty

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