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mixed-integer programming approach

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty

... a mixed integer programming approach to scheduling the airline’s reserve ...the mixed integer programming simulation scenario model (MIPSSM) ...solution approach ...

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A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty

... a Mixed Integer Programming ap- proach to scheduling the airline’s reserve ...(Mixed Integer Programming Simulation Scenario ...solution approach and a reserve use policy ...

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A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty

A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty

... comprehensive integer linear programming ...nonlinear mixed integer programming approach to provide a group layout of CMS concerning the production planning ...novel mixed ...

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Integer Programming Approach In Bus Scheduling And Collection Optimization

Integer Programming Approach In Bus Scheduling And Collection Optimization

... an integer value for number of tasks of each route using the same formula ...largest integer ≤ NT if the company wants to reduce labour cost but then the working days for some bus crews will be more than ...

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Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

... Here, belotti also describes about the tree search method which is one of the widely used method to solve MINLP problems. The tree search method has been classified into single tree and multi-tree method. These two ...

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A two-phase fuzzy programming model for a complex bi-objective no-wait flow shop scheduling   Pages 617-626
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A two-phase fuzzy programming model for a complex bi-objective no-wait flow shop scheduling Pages 617-626 Download PDF

... heuristic approach for two-machine no-wait flowshop scheduling with due dates and class ...multi-objective mixed integer programming techniques and presented a local search to find efficient ...

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Supply Chain Network Optimization of the Canadian Forest Products Industry: A Critical Review

Supply Chain Network Optimization of the Canadian Forest Products Industry: A Critical Review

... A summary of studies on forest product industries supply chain network optimization models is shown in Table 1. Optimization studies in forestry have mainly focused on individual areas such as harvest scheduling and ...

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Short-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach

Short-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach

... multi-objective approach to improve the applicability of price-based unit commitment solutions, a novel mixed integer linear preemptive goal programming model is developed in which several ...

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Decomposition techniques with mixed integer programming and heuristics for home healthcare planning

Decomposition techniques with mixed integer programming and heuristics for home healthcare planning

... an integer programming or as a mixed integer programming ...mathematical programming solvers while still achieving good efficiency in terms of computational ...iterative ...

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Mixed integer programming with decomposition to solve a workforce scheduling and routing problem

Mixed integer programming with decomposition to solve a workforce scheduling and routing problem

... problem is presented. The model is constructed by incorporating various constraint formulations from the literature while also adding working region constraints to the formulation. It is usually the case that models in ...

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Mixed Integer Programming Model For A Variant Of Periodic Vehicle Routing Problem

Mixed Integer Programming Model For A Variant Of Periodic Vehicle Routing Problem

... Abstract— The paper develops a model for the optimal management of periodic deliveries of a given commodity called Periodic Vehicle Routing Problem (PVRP) incorporated time windows, fleet and driver scheduling, pick-up ...

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A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

... a mixed-integer linear programming to consider dynamic pricing approach for used products, forward/reverse logistics network configuration and ...

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Fuzzy Programming Approach for a Multi-objective Single Machine Scheduling Problem with Stochastic Processing Time

Fuzzy Programming Approach for a Multi-objective Single Machine Scheduling Problem with Stochastic Processing Time

... goal programming based approach for solving a mixed-integer model of a single machine scheduling problem minimizing the total weighted flow time and total weighted ...goal programming ...

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A Mixed Integer Linear Programming Model to Regulate the Electricity Sector

A Mixed Integer Linear Programming Model to Regulate the Electricity Sector

... integrated approach which combines a unit commitment model (MILP) well-grounded at an hourly level with the three distinct aspects of market design ...This approach is based on similar studies in the ...

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Mixed integer programming on transputers

Mixed integer programming on transputers

... enumerative approach to the situation is to explicitly or implicitly examine all possible integer solutions to the Group Minimisation Problem ([Shapiro, ...possible integer solutions to the Group ...

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An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems

An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems

... penalty approach for solving mixed integer nonlinear programming (MINLP) prob- lems and showed how to convert a MINLP problem to a finite sequence of NLP ...

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Applications of inexact programming methods to waste management under uncertainty: current status and future directions

Applications of inexact programming methods to waste management under uncertainty: current status and future directions

... integrated approach which combined multi-criteria decision analysis (MCDA) with an interval mixed integer linear programming model to support landfill site selection and waste flow allocation ...

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Generalized Mixed Integer Rounding Valid Inequalities for Mixed Integer Programming Problems

Generalized Mixed Integer Rounding Valid Inequalities for Mixed Integer Programming Problems

... all integer constraints are ...pure integer programming prob- lem can be solved in a finite number of ...this approach on its own is not very effective in practice because of the so-called ...

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A mixed integer linear programming approach to forest utilisation management problems

A mixed integer linear programming approach to forest utilisation management problems

... area for management units that arise in a model I or model II formulation are termed structural constraints, whereas those constraints that integrate the flow of resources from managemen[r] ...

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An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning

An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning

... a mixed integer linear programming (MILP) optimization model to solve the partner selection, and production planning problem in the design of manufacturing chains operating under a multi-product, ...

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