Efficiency Improvement of Blood Supply Chain System Using Taguchi Method and Dynamic Simulation

Zahraee, Seyed Mojib; Rohani, Jafri Mohd; Firouzi, Alireza; Shahpanah, Ataollah

doi:10.1016/j.promfg.2015.07.001

Cited by 42 publications

(21 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Compared to the research of Zahraee et al. [48] , our study related benefits are considering transportation capacity and the possibility of substituting blood types.…”

Section: Literature Reviewmentioning

confidence: 96%

“…Zahraee et al. [48] examined an algorithm to locate the blood centers involving blood perishing time. The objective was to minimize cost and blood shortage.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Zahiri et al. [48] investigated a model for allocating the blood network facilities and managing its flow. The proposed model required two planning levels where the first one included technical planning and the second one covered operational planning.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak

Shirazi

Kia

Ghasemi

2021

Applied Soft Computing

View full text Add to dashboard Cite

As of March 24, 2020, the Food and Drug Administration (FDA) authorized to bleed the newly recovered from Coronavirus Disease 2019 (COVID-19), i.e., the ones whose lives were at risk, separate Plasma from their blood and inject it to COVID-19 patients. In many cases, as observed the plasma antibodies have cured the disease. Therefore, a four-echelon supply chain has been designed in this study to locate the blood collection centers, to find out how the collection centers are allocated to the temporary or permanent plasma-processing facilities, how the temporary facilities are allocated to the permanent ones, along with determining the allocation of the temporary and permanent facilities to hospitals. A simulation approach has been employed to investigate the structure of COVID-19 outbreak and to simulate the quantity of plasma demand. The proposed bi-objective model has been solved in small and medium scales using -constraint method, Strength Pareto Evolutionary Algorithm II (SPEA-II), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Grey Wolf Optimizer (MOGWO) and Multi Objective Invasive Weed Optimization algorithm (MOIWO) approaches. One of the novelties of this research is to study the system dynamic structure of COVID-19’s prevalence so that to estimate the required plasma level by simulation. Besides, this paper has focused on blood substitutability which is becoming increasingly important for timely access to blood. Due to shorter computational time and higher solution quality, MOIWO is selected to solve the proposed model for a large-scale case study in Iran. The achieved results indicated that as the plasma demand increases, the amount of total system costs and flow time rise, too. The proposed simulation model has also been able to calculate the required plasma demand with 95% confidence interval.

show abstract

“…Compared to the research of Zahraee et al. [48] , our study related benefits are considering transportation capacity and the possibility of substituting blood types.…”

Section: Literature Reviewmentioning

confidence: 96%

“…Zahraee et al. [48] examined an algorithm to locate the blood centers involving blood perishing time. The objective was to minimize cost and blood shortage.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak

Shirazi

Kia

Ghasemi

2021

Applied Soft Computing

View full text Add to dashboard Cite

show abstract

“…Katsaliaki (2008) conducted a specific analysis using data from National Blood Service and developed a simulation model of UK supply chain of blood products (red blood cells and blood platelet) to determine those policies which are more practical for better cost effective management of blood supply chains. Zahraee et al (2015) proposed a computer simulation model to increase blood supply chain efficiency of Finish healthcare system. Haijema et al (2007) proposed a combined Markov dynamic programming and simulation approach for production management and inventory optimization of blood platelet and applied it to a Dutch blood bank.…”

Section: Introductionmentioning

confidence: 99%

Solving a bi-objective mathematical programming model for bloodmobiles location routing problem

Rabbani¹,

Aghabegloo²,

Farrokhi-Asl³

2017

10.5267/j.ijiec

View full text Add to dashboard Cite

Perishability of platelets, uncertainty of donors' arrival and conflicting views in platelet supply chain have made platelet supply chain planning a problematic issue. In this paper, mobile blood collection system for platelet production is investigated. Two mathematical models are presented to cover the bloodmobile collection planning problem. The first model is a multi-objective fuzzy mathematical programming in which the bloodmobiles locations are considered with the aim of maximizing potential amount of blood collection and minimizing the operational cost. The second model is a vehicle routing problem with time windows which studies the shuttles routing problem. To tackle the first model, it is reformulated as a crisp multi objective linear programming model and then solved through a fuzzy multi objective programming approach. Several sensitivity analysis are conducted on important parameters to demonstrate the applicability of the proposed model. The proposed model is then solved by using a tailored Simulated Annealing (SA) algorithm. The numerical results demonstrate promising efficiency of the proposed solution method.

show abstract

“…• Building direct relation matrix (A) based on the average of influence value from a i to a j . [10], [26], [30], [36], [38]- [42] 5 Inventory level [17], [31], [32], [39], [43], [44] 6 Tariff of service [17], [21], [34], [38], [44] 7 Quality of service [17], [21], [30], [34], [36]- [38], [40], [43] [7], [10], [21], [34], [43], [47], [52], [53] Integration of information system [20], [41], [50], [52] Delivery [32], [40], [45], [47] Education and training [10], [26], [34], [35], [38] Research & Development…”

mentioning

confidence: 99%

Development of Performance Indicators Relationships on Sustainable Healthcare Supply Chain Performance Measurement Using Balanced Scorecard and DEMATEL

Leksono¹,

Suparno²,

Vanany³

2018

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

Sustainable healthcare supply chain performance measurement (SHSCPM) concept is still less developed. Globalization and pressure from stakeholder demand the operation of the supply chain to give attention to the environment effect, community, economic and intangibility assets. SHSCPM is feasibly developed for measuring the performance of simultaneous sustainability aspects and intangibility assets to meet customer satisfaction. This article discusses SHSCPM based on the balanced scorecard (BSC) with attention to the sustainability aspects, intangibility assets and relationships between the performance of perspectives and indicators. The perspectives and indicators of performance were identified by literature and the confirmed and validated by the survey to 7 expert respondents. We found 5 perspectives and 39 indicators from literature which were then confirmed to expert through a survey with an in-depth interview. From a survey that validated with a weighted average (WA) and level of consensus (LC), we found 31 valid indicators. Finally, 29 indicators from DEMATEL process were selected to be used on SHSCPM. The DEMATEL process found 2 indicators aren't important and influence for other, namely inventory cost and regulations and laws. Besides, the four results on this study: intangibility indicators incorporated on innovation and growth were most affect to other indicators which the intangibility indicators were related with human resource, indicators on customer perspective were most important compared to other indicators, indicators on economic aspect were most important compared indicators on environmental and social aspects, and indicators on social aspect were not affected by other indicators. After that, human resource and customer were main factors for SHSCPM. Finally, relationships between perspectives and indicators used to design of BSC strategy map.

show abstract

Efficiency Improvement of Blood Supply Chain System Using Taguchi Method and Dynamic Simulation

Cited by 42 publications

References 2 publications

A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak

A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak

Solving a bi-objective mathematical programming model for bloodmobiles location routing problem

Development of Performance Indicators Relationships on Sustainable Healthcare Supply Chain Performance Measurement Using Balanced Scorecard and DEMATEL

Contact Info

Product

Resources

About