Health service management plays a crucial role in human life. Blood related operations are considered as one of the important components of the health services. This paper presents a bi-objective mixed integer linear programming model for dynamic location-allocation of blood facilities that integrates strategic and tactical decisions. Due to the epistemic uncertain nature of ...

Customised bus (CB) is a cutting-edge mean of transportation and has been implemented worldwide. To support the spread CB system, methodologies for network design have conducted. However, majority them cannot be adopted directly multi-modal environment. In this paper, we proposed bi-level programming model to fill gap. The upper-level problem maximise usage system with limitation operation cons...

Based on uncertainty theory, this paper proposed a vehicle scheduling method considering the dynamic departure interval and configuration of electric buses (EBs). An uncertain bi-level programming model (UBPM) is established, which takes total cost passenger travel (CP) as upper EBs (CB) lower. A chance constrained (CCPM) based randomness waiting time interstation running model. With certain co...

This paper investigates how to optimize the facility location strategy such as to maximize the intercepted customer flow, while accounting for ‘‘flow-by’’ customers’ path choice behaviors and their travel cost limitation. A bi-level programming static model is constructed for this problem. An heuristic based on a greedy search is designed to solve it. Consequently, we proposed a chance constrai...

bilevel linear programming  is a decision making problem with a two-level decentralized organization. the textquotedblleft leadertextquotedblright~ is in the upper level and the textquotedblleft followertextquotedblright, in the lower. making a decision at one level affects that at the other one. in this paper, bilevel linear programming  with inexact parameters has been studied and a method is...

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...