Abstract A mathematical model is introduced to solve a mobile workforce management problem. In such problem there are number of tasks be executed at different locations by various teams. For example, when an electricity utility company has deal with planned system upgrades and damages caused storms. The aim determine the schedule teams in way that overall cost minimal. involves scheduling. foll...

Markov decision process models and algorithms can be used to identify optimal policies for dispatching ambulances spatially distributed customers, where the indicate ambulance dispatch each customer type in state. Since solutions are dependent on state variables, they may not always correspond a simple set of rules when implementing practice. Restricted that conform priority list desirable use ...

zinc is the first modelling language which supports solver and technique independence. this means that a high level conceptual model can be automatically mapped into an appropriate low level design model for a specific solver or technique. to date, zinc uses three different techniques to solve a model: constraint programming (cp), local search (ls), and mixed integer programming (mip). in this ...

Collection of waste is an important logistic activity within any city. In this study, a mathematical model is proposed in order to reduce the cost of waste collection. First a mixed-integer nonlinear programming model is provided including a waste collection routing problem, so that, there is a balance between the distance between trashcans, and the similarity of the trashcans in terms of th...

Inspired by Fu et al. work [12] on modeling the exclusive-or differential property of the modulo addition as an mixed-integer programming problem, we propose a method with which any finite automaton can be formulated as an mixed-integer programming model. Using this method, we show how to construct a mixed integer programming model whose feasible region is the set of all differential patterns (...