فصلنامه مدیریت زنجیره تامین
پیاپی 50 (زمستان 1394)

Throughout the history, earthquakes led to not only the destruction of many homes and damage to a lot of people, but also homeless of people and in need of medical aid. One of the key issues which have always great importance during the disaster is supply the needed blood of blood unit's applicant people. Therefore, in this paper with the design of blood supply chain at the time of earthquake disaster attempted that the needs of blood units applicant people properly met. In addition for the designing of this issue in accordance with the real world, Tehran is considered as a case study and the data of blood transfusion network in this city is used. On the other hand, with respect to the fact that the uncertainty plays an important role in the blood supply chain at the time of the earthquake disaster, the problem has modeled using fuzzy programming. The results show that considering the blood supply chain in accordance with the real world and under conditions of uncertainty, can help to the decision makers of blood transfusion network in times of earthquake disaster.

The health industry’s supply chain is full of uncertainty and unpredictability. Thus, building an intelligent system to effectively capture the requirements of customers and help manage the supply chain is very important. Despite Artificial intelligence widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management. To fully exploit the potential benefits of AI for SCM, this paper explores various sub-fields of Multi Agent Systems that are most suitable for solving practical problems relevant to Health E-SCM System. In this paper, we have integrated the typical health Information Systems (HIS) development procedure with that of a health E-SCM multi-agent system. Therefore considers the problems in the health industry’s SCM and provides solutions to them. The proposed system can integrate health Information technologies to make its behavior more intelligent and to catch more useful information from customers. Its implementation also considers some practical issues in the health retailing SCM.

For effective crisis management, appropriate telecommunications, which are required to fast response, are crucial. Therefore, Lack of existing proper telecommunications detract senior managers’ awareness about crisis conditions and also disturb rescuers in relief, causing increasing attendance time to the injured and fatalities. Transfer point location problem is one of the new issues in the literature of crisis management in order to accelerate response to crisis. The purpose of this paper is presenting a credibility-based chance-constrained model in which location of telecom towers and transfer points are achieved to simplify the relief. Finally, by providing a numerical example, the model is solved using epsilon constraint, and then results comparisons and sensitivity analysis are performed.

Health care Wastes, which produce in most hospitals, laboratories and clinics, causes spread of dangerous and contagious diseases and are a serious threat to human health and the environment Due to contamination and the losses caused by the lack of health care waste management. Now days there are 4 common technologies for the disposal of hospital waste which is taken into consideration by the majority of the world's health units and each of them has a different performance from others. Therefore, assessment of hospital waste disposal methods requires different criteria to be carried out with the participation of experts. The aim of this study is to present a method for assessment of Health care waste disposal technologies in the city of Sari. In this regard, after reviewing the literature and interviews with experts, eight of the most important criteria were identified. Also, to assess technologies was presented a hybrid approach based on FDEMATEL and FVIKOR methods. Finally, after applying the proposed model, the results showed that level of automation is the most important criteria in decision making. In the next step waste disposal methods were ranked by using FVIKOR and the Steam sterilization suggested as the most efficient Health care waste Disposal method.

The need for high-quality medical equipment in the hospital supply chain has more than ever demonstrated the necessity and importance of quality management to be implemented by administrators in line with the Iranian health reform plan. In this study, the Game Theory was used to model the strategies chosen by companies supplying medical equipment to hospitals. Considering the process of self-learning through the Markov chain on the part of medical equipment enterprises involved in market competition, the equipment supply chain environment was simulated. Finally, the importance of reward and penalty system implemented supply chain quality management of medical equipment for hospitals was discussed by analyzing the behavior of the simulated model and calculating the revenues, so as to propel the firms to adopt high-quality strategies.

This paper presents a multi-objective linear programming model for disaster blood supply chain in some periods of time after disaster. This model assist to determine the quantity and location of facilities and also how to allocate blood to facilities. In this study, a three-level model is described, while blood is collected from temporary and permanent facilities and sent to blood center. Blood units get tested and then sent to cure centers. Regarding to objective of the problem, minimizing costs and shortages, the problem is bi-objective which are in conflict. The problem was solved using goal programming method and utilizing real data which are collected from case study on qaemshahr city. Results showed by spending not much money, we can plan to have a proper blood supply chain.

Lean thinking is management strategy that is applicable to all organizations including health care organizations, and its main idea is to eliminate waste. Finding a suitable location for treatment facilities in the health chain plays an important role in the implementation of this idea in the organization, because on the one hand, proximity to suppliers of medical centers ensures rapid and low-cost supply of patient needs. On the other hand, locating health centers near the population areas leads to quick and affordable access to them. Thus locating health centers in a right position can largely reduce the waste of time and money. In this paper, a multi objective mathematical model was developed to locate and allocate Services provided at the clinics and hospitals. The model combines facility location model and DEA simultaneously to provide high quality services at reasonable costs to the clients. The proposed model has been solved using epsilon constraint method, besides locating provided services in Amol hospitals and assigning them to population areas has been done as a case study.