scholarly journals An equity-oriented multi-objective inventory management model for blood banks considering the patient condition: A real-life case

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Mahnaz Sohrabi ◽  
Mostafa Zandieh ◽  
Behrouz Afshar-Nadjafi
Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 38
Author(s):  
Amr Mohamed AbdelAziz ◽  
Louai Alarabi ◽  
Saleh Basalamah ◽  
Abdeltawab Hendawi

The wide spread of Covid-19 has led to infecting a huge number of patients, simultaneously. This resulted in a massive number of requests for medical care, at the same time. During the first wave of Covid-19, many people were not able to get admitted to appropriate hospitals because of the immense number of patients. Admitting patients to suitable hospitals can decrease the in-bed time of patients, which can lead to saving many lives. Also, optimizing the admission process can minimize the waiting time for medical care, which can save the lives of severe cases. The admission process needs to consider two main criteria: the admission time and the readiness of the hospital that will accept the patients. These two objectives convert the admission problem into a Multi-Objective Problem (MOP). Pareto Optimization (PO) is a common multi-objective optimization method that has been applied to different MOPs and showed its ability to solve them. In this paper, a PO-based algorithm is proposed to deal with admitting Covid-19 patients to hospitals. The method uses PO to vary among hospitals to choose the most suitable hospital for the patient with the least admission time. The method also considers patients with severe cases by admitting them to hospitals with the least admission time regardless of their readiness. The method has been tested over a real-life dataset that consisted of 254 patients obtained from King Faisal specialist hospital in Saudi Arabia. The method was compared with the lexicographic multi-objective optimization method regarding admission time and accuracy. The proposed method showed its superiority over the lexicographic method regarding the two criteria, which makes it a good candidate for real-life admission systems.


Author(s):  
Zuhayer Mahtab ◽  
Abdullahil Azeem ◽  
Syed Mithun Ali ◽  
Sanjoy Kumar Paul ◽  
Amir Mohammad Fathollahi-Fard

2021 ◽  
Vol 8 (1) ◽  
pp. 27-36
Author(s):  
Ramsés Cabrera-Gala ◽  
Luis Carreón-Nava ◽  
Hugo Valencia-Cuevas ◽  
León Rivera-Sosa

The Mexican family companies must face the challenges of market volatility with greater recurrence, forcing them to use effective tools and models for the proper management of their organizations and inherent activities, such as inventory management. Therefore, this research was carried out at “Moles Santa Monica”, a typical food company located in the city of Puebla, Mexico. This enterprise has reflected a high variability in the administration of its inventories, with a Coefficient of Variation (CV) greater than 0.2 in most of their portfolio products. In this way, the objective of this study was to propose an inventory management model that might reduce the shortages and overstock, and also; improves its performance and profitability when it is managed. The applied methods were Pareto and ABC model to choose correctly the best seller company products. The inventory management model chosen was the periodic review (R, S) as well, for being the most effective and the one that best suited the circumstances of the company in question. Three of the portfolio products were studied (MPP10, MPC10 and COP10) due to they are the most representative in incomes and valuables for the company managers. The results allowed us to propose the review periodic model (R), the optimal quantity of units to produce (Q), the safety stock (Ss) and the maximum inventory (S) for each product. We conclude that this model will help the company to face the uncertainty of the demand. Finally, we include limitations and future studies.


Models are expected to present near real life situations and possible effects on the deliverables based on given input environment. However, models do not necessarily indicate the true solutions and provide scope to work on them incrementally. As discussed earlier, organizations may not follow similar paths to acquire IT and may not even derive desired results despite adopting one. This chapter considers it important to include IS as critical input to managing IT acquisition life cycles and delves further into the IT life cycle management principles to conceptualize a model to specific contributions to assess organizational preparedness for IT acquisitions. This model largely includes discussions on IS centric models and argues in favour of assessing the preparedness across three phases, pre-acquisition, acquisition, and post-acquisition. Each phase considers specific inputs with expected deliverables for successful assessment of the preparedness of the organization in that phase.


A test blueprint/test template, also known as the table of specifications, represents the structure of a test. It has been highly recommended in assessment textbook to carry out the preparation of a test with a test blueprint. This chapter focuses on modeling a dynamic test paper template using multi-objective optimization algorithm and makes use of the template in dynamic generation of examination test paper. Multi-objective optimization-based models are realistic models for many complex optimization problems. Modeling a dynamic test paper template, similar to many real-life problems, includes solving multiple conflicting objectives satisfying the template specifications.


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