Blood supply chain management: robust optimization, disruption risk, and blood group compatibility (a real-life case)

2019 ◽  
Vol 11 (3) ◽  
pp. 1085-1104 ◽  
Author(s):  
Seyyed-Mahdi Hosseini-Motlagh ◽  
Mohammad Reza Ghatreh Samani ◽  
Shamim Homaei
2018 ◽  
Vol 154 ◽  
pp. 01092 ◽  
Author(s):  
Agus Mansur ◽  
Iwan Vanany ◽  
Niniet Indah Arvitrida

An interconnected series of the blood management is called blood supply chain management (BSCM). The stages of BSCM consisted of blood collecting, production, inventory, and distribution. The main challenges in BSCM are related to shortage, outdate, and supply chain cost which needed to minimize. Naturally, problems in BSCM are complex, it is not an easy task to find the solution. This complexity brought by several factors as follows: its inflicted risk, the uncertainty of supply and demand, blood nature as perishable commodity, demand uniqueness, and cost occurred. This research purposes was to review of various research related to BSCM and highlight opportunities to develop further research in blood supply chain (BSC). The result of this research is a suggestion on various possible future research to be explored in BSC, for example, developing an adaptive inventory model to support blood supply chain management that could be responsive toward demand fluctuation and developing collecting strategy to minimize shortage, outdate and incurred cost in supply chain level.


Author(s):  
Yasin Galip Gencer

The global supply chain applications are evolving and changing globally. In order to increase success, some processes are now transferred to other firms. By such implementations, it is aimed to focus on the core business and to be successful. 3PL is the use of an external entity to perform some or all of the operations. The 4PL approach is a revolutionary approach to supply chain management. 3PL and 4PL activities are used for many purposes by multinational companies for increasing the productivity and efficiency and for decreasing the overall operational costs. Like all countries, Turkey also faces strategic organizational changes in terms of logistics activities. Modernization of logistic professes are widely examined in the literature. The scope of this chapter is the logistics modernization processes of Turkish companies, and it aims to inform about the modernization processes in Turkey by examining successful real-life examples.


Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1621
Author(s):  
Irfan Ali ◽  
Armin Fügenschuh ◽  
Srikant Gupta ◽  
Umar Muhammad Modibbo

Vendor selection is an established problem in supply chain management. It is regarded as a strategic resource by manufacturers, which must be managed efficiently. Any inappropriate selection of the vendors may lead to severe issues in the supply chain network. Hence, the desire to develop a model that minimizes the combination of transportation, deliveries, and ordering costs under uncertainty situation. In this paper, a multi-objective vendor selection problem under fuzzy environment is solved using a fuzzy goal programming approach. The vendor selection problem was modeled as a multi-objective problem, including three primary objectives of minimizing the transportation cost; the late deliveries; and the net ordering cost subject to constraints related to aggregate demand; vendor capacity; budget allocation; purchasing value; vendors’ quota; and quantity rejected. The proposed model input parameters are considered to be LR fuzzy numbers. The effectiveness of the model is illustrated with simulated data using R statistical package based on a real-life case study which was analyzed using LINGO 16.0 optimization software. The decision on the vendor’s quota allocation and selection under different degree of vagueness in the information was provided. The proposed model can address realistic vendor selection problem in the fuzzy environment and can serve as a useful tool for multi-criteria decision-making in supply chain management.


2018 ◽  
Vol 154 ◽  
pp. 01086 ◽  
Author(s):  
Zuhdi Allamsyah ◽  
Agus Mansur

Blood supply chain management is very complex system. By considering blood’s demand that characterized as stochastic, therefore information and communication among stakeholders are considered as important cycle in supply chain. This research is objected to design interactive communication model based on information technology with android as platform to create effective customer-supplier relationship to support Customer Relationship Management or better known as CRM. The methods that suggested in designing its information system are Quality Function Deployment (QFD) approach, Kano Model and Morphological Chart. From mentioned methods, attributes of design and specification priorities of purposed android system technology design are established. Attributes of design will be adjusted with customers’ requirements derived from customer voice that will further be integrated with technical responds in QFD. Technical responds will provide priorities on each design’s attribute of android information system and will be forwarded to the specifications determination by using morphological chart. Later, work flow of design system will be generated by using Data Flow Diagram (DFD). The result of the research will demonstrate the design of information system technology based on android that already adjusted with the requirement of donors as means of communication between suppliers and customers in blood supply chain.


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