Design of blood supply chain network with time window and motivational aspects

Design of blood supply chain network with time window and motivational aspects


Design of blood supply chain network with time window and motivational aspects

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Design of blood supply chain network with time window and motivational aspects

ارائه دهنده: Provider: Tayebeh Alikhani

اساتید راهنما: Supervisors: Hamidreza Dezfoolian (Ph. D)

اساتید مشاور: Advisory Professors: Parvaneh Samouei (Ph. D)

اساتید ممتحن یا داور: Examining professors or referees:

زمان و تاریخ ارائه: Time and date of presentation: January,26, 2021

مکان ارائه: Place of presentation:

چکیده: Abstract: Despite of many studies which have been done by researchers on management of blood supply chain. Discusse about blood and its supply is still challenging. Blood donation is a voluntary activity and donors play an important role in the blood supply chain.In this study, we try to make a balance between supply and demand by encouraging donors to prevent blood shortages in time window that causes irreparable damages as much as possible. Whereas, the blood is a time-sensitive product with a certain lifespan, it is so important to consider issue of blood perishability. In this study, we present a bi- objective mixed integer non-linear programming model for designing a blood network under uncertainty over multi- periods of planning. In order to deal with bi- objective model, the epsilon- constraint method is used and to confront with uncertainty of demand, we propose a robust optimization approach. Since the proposed model is Np- hard problem, two- methahuristic algorithms are recommended to gain optimal solutions. Non-dominated sorting genetic algorithmII (NSGA-II) and Electromagnetism algorithm (EM) developed to solve the problem. Eventually, two algorithms performance are compared with standard measures. In most cases, the value of indicators used in the (NSGA-II) algorithm is better than the competing algorithm (EM). Also in terms of problem solving time, (NSGA-II) algorithm is able to solve the problem in a shorter time. Key Words: Design of blood supply chain; Perishable; Encouragement; Uncertainty;Robust optimization; Epsilon- constraint; Methahuristic algorithm.

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