Multi-objective transportation route optimization for hazardous materials based on GIS

Safety and security are of paramount importance, it is important to optimize and improve the routes of trucks that carry hazardous materials. In this study, we not only ensure the risk in the network, but also consider the transportation cost and the factors such as buildings and emergency facilities around the routes. The Geographic Information System (GIS) is used to quantify the factors on each section in the network. We present an epsilon constrained multi-objective mixed-integer linear programming optimization model to find the robust and stable transportation optimization solutions. At the end, we complete a case analysis of the proposed methodology to determine the motorway segments in Jiangsu province, China and test the above algorithm on the network, which has 144 nodes and 388 sections. The results we get show that the factors of buildings play a very important role in the model, and the multi-objective mixed-integer linear optimization model is reasonable and performs good quality.     

Influence of farm resource endowment on possibilities for sustainable development: a case study for vegetable farms in South Uruguay

In different parts of the world, there is an urgent need for redesigning and innovating farming systems. Such a process may be supported by model-based explorations that enable ex-ante evaluation of a broad range of alternatives. Since a variety of viable patterns of farm development exists related to farm resource endowment and farmer's strategy, model-based explorations should be able to capture the existing variation in resource endowment and strategies in order to have impact on strategic farm management. In this paper, we present an overview of the model-based explorative method based on the MILP model Farm Images, applied to explore options for sustainable development of vegetable farms in Canelón Grande, Uruguay. The method is used to gain insight into the impact of current farm resource endowment on the possibilities for sustainable development and on the resource use efficiency at farm scale. We maximized farm income for 128 different farm types in an environment-oriented scenario and in an income-oriented scenario. Farm types were defined by combining 4 farm sizes, 2 labor endowments, 4 irrigation endowments, 2 soil quality combinations and 2 mechanization levels. The results demonstrate a strong impact of farm resource endowment on possibilities for sustainable development, as well as synergy between labor, land and irrigated area on resource-use efficiency at farm scale. Farms with 10ha of land or less, representing 47% of the farms in the Canelón Grande region, could only achieve a family income higher than the average income of Uruguayan families when the irrigated area was ca. 40% of the farm area. The achievement of environmental targets was less costly in terms of income on farms with a low rather than high labor availability per unit area and on farms with irrigation facilities.     

Industry to Industry By-products Exchange Network towards zero waste in palm oil refining processes

This paper presents a systematic framework for optimal utilization of by-products generated during crude palm oil refining processes. Three by-products are considered in the supply chain network: soapstock, palm fatty acid distillate (PFAD) and spent bleaching earth (SBE). These by-products, generated from neutralization, deodorization and bleaching processes, are viable feedstocks to other commercial industries such as animal feed, biodiesel, lubricant and soap. The case study is formulated as Mixed Integer Linear Programming (MILP) and integrated into the framework with the objective to maximize the refinery's profit as well as moving towards a conscious mindset of zero waste. This is the first time that such framework is developed and applied for the palm oil industry. The framework is called as Industry to Industry By-products Exchange Network (I2IBEN). An illustrative case study demonstrates a significant potential profit of MYR182, 893 per month.     

Benders计算机程序库的开发及其在环境规划中的应用

混合整变量线性规划模型在国外许多行业和我国环境规划领域得到广泛应用。Benders分解算法是求解大规模混合整变量线性规划问题的一种先进技术,该技术在国外求解运输问题和网络问题范畴的实际问题得到了成功。我们应用Benders技术研制开发了大型计算机软伴;这是在我国系统工程领域和国际环境规划工作中的首次应用。在程序库开发工作中,引进和采用了当今国际上先进的运筹学方法和计算机技术。程序库在求解实际的环境规划问题中获得了初步的成功。我们应用所开发的程序库和数学模型求解了一个具有635个约束条件,1087个变量(其中0—1整变量为126个)的实际城市综合整冶规划问题。这是至今国内所求解的最大规模的混合整变量线性规划问题,也是国际上用Benders方法求解的最大的环境规划问题。     

B2C服饰类电商企业逆向物流网络联建研究

在电子商务环境下,由于网络购物的兴起,导致大量退货逆向物流和回收逆向物流.鉴于国内多数电商企业没有完善的逆向物流系统,相关学术研究和出版物较少,网购产品中81.8％是服装鞋帽类产品,故提出一种基于电商环境下服饰类行业联合构建逆向物流网络.该网络模型旨在降低两大逆向物流的回收成本,形成规模效应和溢出效应.因此,构建了0-1MILP数学模型和模拟数据,借助Lingo9.0计算软件找出模型的最佳运营状态,为服饰类电商企业高效完成逆向物流活动、提高服务质量、增强行业竞争力提供思路.