Multicriteria decision models for supplier selection and order quantity allocation under stochastic environments

供应商选择问题涉及评价和选择最佳供应商和分配订单 是介于供应商选择问题是简单的，如果选择标准是已知的和确定的， 但在现实中，大多数是定性的，不确定的和相互矛盾的。这使得 选择过程很难。客户需求、价格、数量和交货期的不确定性的变化， 供应商使问题更加复杂。该项目的目标是制定多标准 随机环境下的供应商选择与订货量分配决策模型 Luxxeen Production Inc是一家加拿大公司，专门生产婴儿湿巾，湿巾和面部护理产品。 卫生纸产品。工作的第一步涉及开发动态需求预测模型， 预测客户需求。第二步是随机决策下的供应商选择 环境.第三步也是最后一步涉及开发多目标优化模型， 订货量分配将使用从Luxxeen获得的现场数据对模型结果进行测试。 拟议项目旨在改善Luxxeen生产公司的供应商选择业务。高效 供应商选择过程将有助于Luxxeen扩大其服务范围，从而为更广泛的社区带来 更大的经济（通过最小化质量成本和增加业务收入），社会（通过道德和公平 供应商选择做法）和环境效益（通过将生态足迹准则纳入 供应商选择标准）。该项目还将培养三名高素质的 人才在供应链建模、仿真、数据挖掘等领域建立技术力量， 加拿大在这个领域

Supplier selection problem involves evaluating and selecting best performing supplier(s) and allocating order quantities. The supplier selection problem is simple if the selection criteria are known and deterministic, however in reality, majority of them are qualitative, uncertain and conflicting in nature. This makes the selection process difficult. Variations in customer demand, price, quantity and lead time uncertainty from suppliers add further complexity to the problem. The objective of this project is to develop multicriteria decision making models for supplier selection and order quantity allocation under stochastic environments for Luxxeen Production Inc, a Canadian company specializing in production of baby wipes, wet wipes and facial tissues products. The first step of the work involves development of dynamic demand forecasting models for predicting customer demands. The second step involves supplier selection under stochastic decision making environments. The third and the last step involves development of multiobjective optimization models for order quantity allocation. The model results will be tested using field data obtained from Luxxeen. The proposed project aims to improve supplier selection operations at Luxxeen production Inc. Efficient supplier selection process will help Luxxeen in augmenting its service to wider community thereby bringing larger economic (by minimizing cost of quality and augmenting business revenues), social (by ethical and fair supplier selection practices), and environmental benefits (by incorporating ecological footprinting guidelines in supplier selection criteria) to the Canadian community. The project will also train three Highly Qualified Personnel in the areas of supply chain modeling, simulation, and data mining to build the technical strength of Canada in this domain.