Blood and its products are considered one of the most critical medical needs. Factors such as irregular supply and demand, lack of technology to produce blood and dependence on donation, different types of blood, peri...
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Blood and its products are considered one of the most critical medical needs. Factors such as irregular supply and demand, lack of technology to produce blood and dependence on donation, different types of blood, perishability, and mortality of people in the event of a blood shortage have increased the importance of blood in people's lives. To address these challenges, this paper presents a mix integer linear programming model for a blood supply chain network based on sustainable development goals under uncertainty that includes collecting, processing, holding, and delivering various blood products. More specifically, a multi-objective, multi-period, and multi-product mathematical programming model is proposed to minimize total costs, minimize environmental damage, and maximize social effects resulting from the implementation of the network. The proposed model can help managers in hospitals and the blood transfusion organizations in making important strategic, tactical, and operational decisions such as where to locate blood facilities, the flow of different products between facilities, assigning donor groups to blood facilities, and inventory control decisions. First, a robust possibilistic programming approach is utilized to deal with the uncertainty of the mathematical model. Second, an interactive fuzzy programming method is used to solve the proposed model. The efficacy of the mathematical model is evaluated using real data from the Shiraz metropolitan area in Iran. Finally, the mathematical model's behavior was analyzed using sensitivity analyses on the main factors. The experimental results show the efficiency of the model in the satisfaction of demand and the reduction of waste.
This paper is to analyse impacts of pricing policies, inventory policies, and benefit sharing mechanism on supply chain (SC) performances. The novelties and theoretical contributions of this paper include a developmen...
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This paper is to analyse impacts of pricing policies, inventory policies, and benefit sharing mechanism on supply chain (SC) performances. The novelties and theoretical contributions of this paper include a development of linear mathematical functions to represent pricing policies, especially 'every day low price' (EDLP), and explicitly considering cash as one of the performance measures in addition to profit and revenue. A mix integer linear programming (MILP) model with pricing mechanism and policy constraints is developed. A case study in plastic fashion accessory industry in Thailand is performed. Experiments are conducted to demonstrate how the proposed model is applied. The performance measures are translated into satisfaction levels and plotted in a radar chart to facilitate performance comparison among policies. Practical contribution is that this paper recommends suitable combinations of policies to match with the priority of profit, revenue, and cash performances.
The certainty and trustworthiness of a planning model can best be assessed when projections can be compared with actual developments. The ability to design scenarios and to evaluate demographic, economic and technolog...
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The certainty and trustworthiness of a planning model can best be assessed when projections can be compared with actual developments. The ability to design scenarios and to evaluate demographic, economic and technological change is also increased with periodic comparisons between plans and actual facts. In 1976, the Mexican government published a 25 year power supply plan for the country, in which a development of non-fossil fuel plants was recommended, largely due to environmental considerations. It was proposed that the new demand should be met mainly with renewable energy sources and nuclear power. The study stated that hydrocarbons would reach a peak between 2003 and 2005, and that after this point the descent of fuel consumption would proceed at an increased velocity. Under this program, the dependence of Mexico on fuel for electricity would be gradually reduced as the 21st century progressed. The suggestion was not assumed by successive governments, and fossil fuel plants took the place of the proposed nuclear plants. However, the original 25 years power plan has proved to be quite accurate in its social and economic previsions, and allows the validation of a new, more powerful and reliable planning model. This paper presents the results of the validation of the model, as well as major considerations to be heeded in the future to increase certainty in further planning efforts. The projection of a better, more sustainable and reliable energy future is also proposed. (C) 2007 Elsevier B.V. All rights reserved.
Last decades firms have moved toward Supply Chain organizations. It has been characterized by partners' integration and new production practices. One of these is the share of high purchase price resources between ...
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ISBN:
(纸本)9782960053241
Last decades firms have moved toward Supply Chain organizations. It has been characterized by partners' integration and new production practices. One of these is the share of high purchase price resources between distinct facilities. It is a way to reduce investment associated to resource sizing while preserving operational efficiency. Consequently, it must be tackled during strategic capacity allocation and resources sizing process while considering operational impact. Surprisingly, even if this phenomenon is more and more relevant few researches have been made on it. In this article, we propose a model for strategic capacity allocation and resources sizing of a multi-plant system tackling resources transfer possibility and integrating operational impacts. Moreover original process and safety constraint is considered;it means a minimum volume independent number of resources required to achieve production. Model takes the form of a mixintegerlinear Program (MILP) which objective is to maximize demand satisfaction while minimizing design and operational costs. Some illustrative numerical examples are given. Its show the importance of resource transfers possibility consideration during strategic process all the more so as resource purchase prices are high.
Quick response to service interruption and minimizing the corresponding customers' loss is significantly important to distribution utilities so that their highly competitive service quality is guaranteed. This pap...
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ISBN:
(纸本)9781509051670
Quick response to service interruption and minimizing the corresponding customers' loss is significantly important to distribution utilities so that their highly competitive service quality is guaranteed. This paper proposed a new mix integer linear programming based network reconfiguration method to minimize the economic loss of end use customers due to service interruptions during regular equipment maintenance with the customer sensitivity to service interruption being incorporated. An evaluation model is also proposed to quantify the customer sensitivity to service interruption so that customers with different sensitivity values are compensated by different electricity loss cost. The sensitivity value is calculated considering four variations: the average loading level, the customer importance level, the request for service uninterrupted and the historical customer complaint information.
Demand of strawberry from the supermarket required high-quality products with continuous supply. Asgita, an association of strawberry producers, is facing several problems regarding product's supply that will infl...
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