A robust multi-objective programing model to prioritize suppliers and allocate inventory of surgical equipment in hospitals

نوع: Type: thesis

مقطع: Segment: Masters

عنوان: Title: A robust multi-objective programing model to prioritize suppliers and allocate inventory of surgical equipment in hospitals

ارائه دهنده: Provider: Sahar Karimian

اساتید راهنما: Supervisors: Dr.Parvaneh Samoui

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Dr. Javad Behnamian, Dr. Nafiseh Soleimani

زمان و تاریخ ارائه: Time and date of presentation: 11:30, sunday. 10.10.2021

مکان ارائه: Place of presentation: Virtual portal website faculty of Engineering

چکیده: Abstract: Today, the economies of the world are affected by the costs of the health system. Hospitals are one part of this system, where operating rooms are considered vital points. Operating rooms are significant sources of revenue and hospital costs, so any systematic reduction in operating room costs informs significantly overall health supply chain costs. This thesis focuses on modeling and development of a multi-objective supply chain model of operating room equipment in order to reduce supply chain costs and maximizing surgeons' satisfaction with the use of this equipment in conditions of uncertainty. The conflict between the decisions of logistics managers and the preferences of surgeons creates a situation in which managers seek to minimize costs and surgeons are willing to use equipment with a higher priority of choice. This leads to a multi-criteria decision-making problem for prioritizing surgical equipment suppliers. For solving this, the ARAS multi-criteria decision method (ARAS) has been used in this study. Suppliers differ in terms of the features of the products they offer, which include issues such as the cost of purchase and the quality of items, etc., which leads to prioritization by surgeons. Maximizing surgeons' satisfaction is done according to the prioritization of suppliers of consumable equipment. There are two types of operating room equipment required: factory sterile equipment and non-sterile equipment purchased from suppliers. Because every piece of equipment that enters the operating room must be sterilized, there is a unit in the hospital called a sterile core. This section is responsible for sterilizing non-sterile items before entering the operating room. The entry of equipment into the operating room is in two modes: the mode in which items are sent to the operating room before the operation and according to the patient's needs and according to the surgeon and the second mode in which items are sent to the operating room due to emergency conditions. Conditions can be based on the patient's emergency or the breakdown of items or the error of the room staff or other things. It is also necessary to deal with the occurrence of disorders and uncertain conditions due to the sensitivity of these systems and endangering the lives of people. Since the demand parameter is indefinite, Malloy's robust method has been used to deal with this uncertainty. In the small dimension, this problem is solved by the Epsilon method, the constraint developed by Gomez software, and in the large dimension, by the two meta-innovative algorithms NSGA-II and MOHS, by the MATLAB software. Taguchi method has been used to adjust the parameters and different indicators have been used to evaluate the results of the two algorithms. Except for one case, MID is better than the MOHS (rival) algorithm in other cases of the NSGA-II algorithm. Also, in terms of problem-solving time, MOHS algorithm can solve the problem in a shorter time.

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