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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 55 for “"mixed integer linear program"”.
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Optimization tools for process planning
… complex can be formulated as a multiperiod, mixed-integer linear program (MILP). This MILP can then be reformulated by exploiting lot sizing substructures. While the reformulation produces a tight linear programming relaxation, it also introduces a large number of variables and constraints.
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Minimization of blending losses to determine optimal standard enrichments of nuclear fuel
… alternatives such as the gas centrifuge. Using a mixed-integer linear program, the model minimizes present worth costs for a 39-product-enrichment reference case. For four ingredients, the marginal blending cost is only 0.18 percent of the total direct production cost. Natural uranium is not an …
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Optimization of a Hydrogen Alternative Aviation Fuel Supply Chain Under Demand and Emissions Constraints - A Case Study of Canada
… reduction commitments was investigated using a mixed-integer-linear-program (MILP) optimization model that minimized the total energy consumed “energy intensity” for a hydrogen-based alternative aviation fuel supply chain. The model provided (i) optimal jet fuel blend ratios and, (ii) the number …
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OPTIMIZATION OF THE FORCE GENERATION PROCESS OF MARINE CORPS INFANTRY BATTALIONS
… (TFDW). The Optimized Assignment Model (OAM), a mixed-integer linear program, optimizes manpower assignments in order to minimize the loss of available training days and improve unit manpower readiness timelines. Over a four-year time horizon, OAM improves the number of available training days …
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Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery
… supply chains--we discuss a network flow-based mixed-integer linear program (MILP) model to identify the critical factors in optimizing reverse supply chain design decisions to optimize profit. The model is fast, intuitive, flexible, and robust to uncertainty. Its outputs include specific design …
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Decentralized resource allocation for synchronized tasks through Adaptive Large Neighborhood Search (ALNS)
… resources from independent suppliers. A Mixed-Integer Linear Program (MILP) is used by the consumer to select the least costly bids that can be combined to fulfill a task's requirements.
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Computational design and optimization of infrastructure policy in water and agriculture
… and then, we use the outcome as an input to a Mixed Integer Linear Program (MILP) that investigates the feasibility of seawater desalination for agricultural irrigation under different water costing schemes. Further, we use numerical simulations of partial differential equations to study the …
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Greenhouse Gas Optimization Across a Multi-Echelon Manufacturing and Distribution Network
… emissions. An approach using a multi-objective mixed-integer linear program that balances emission reduction along with other objectives such as sourcing cost, lead time, and supply risk is conducted to test the feasibility of the developed strategy in a business context. Opportunities for …
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Mixed integer linear programming approach for solving assembly scheduling problems
… between operations. It has been formulated as a Mixed Integer Linear Program and is modeled as a flow-like problem. The objective of the problem is to reduce the total makespan (cumulative lead time) of production of final product. In addition to that, move sizes and batch sizes of operations are …
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Planning combat outposts to maximize population security
… and conducting patrols. We use piecewise linear approximation to solve the problem as a mixed-integer linear program. Results are based on two representative scenarios and show the impact of an area of operation's characteristics and commander's weights on COP size and locations.
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Revenue optimization for a hotel property with different market segments : demand prediction, price selection and capacity allocation
… market segment. We feed these predictions into a mixed integer linear program (MILP) to optimize prices and capacity allocations at the same time. We prove that the MILP can be equivalently solved as a linear program, and then show that it produces upper and lower bounds for the expected revenue …
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EVALUATION OF COURSES OF ACTION SIMULATION TOOL
… to those of the existing tool. We present a mixed-integer linear program and assess that the results from COAST are within an average of 22% and 16% of our optimal solution of expected number of smugglers detected in single- and two-target scenarios, respectively.
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Optimal Charging Scheduling for Electric Vehicles Based on a Moving Horizon Approach
… vehicle charging scheduling problem as a mixed-integer linear program (MILP). The problem is to be solved by an aggregator that provides charging services in a residential community. The proposed formulation maximizes the profit of the aggregator, enhancing the utilization of available …
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A generalized machine requirements planning algorithm for serial flow machining systems
… requirements problem must be modelled as a mixed integer linear program. However, a dynamic programming solution procedure with linear programming postoptimality techniques at each stage of the machining process is utilized to provide an efficient, flexible algorithm. The machine …
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Planning and scheduling in pharmaceutical supply chains
… we present a multi-period, continuous-time, mixed-integer linear program (MILP) model that addresses this important problem for the pharmaceutical plant using multiple parallel production lines in campaign mode, and producing products with multiple intermediates. Here, the aim is to decide …
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Planogram Optimization in Support of Small Format Retail Inventory Management
… is associated with stockouts and lost sales. A mixed-integer linear program is developed to suggest the optimal shelf capacity for each product to maximize Fit. The decision model suggests sacrificing space allocated to high cube items to display more units of smaller items, and provides strong …
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Robust planning for heterogeneous UAVs in uncertain environments
… to reduce the uncertainty in the environment. A Mixed-Integer Linear Program (MILP) is presented that can be solved for the optimal strike and reconnaissance mission. This approach explicitly considers the coupling in the problem by capturing the reduction in uncertainty associated with the …
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Planning and scheduling of concurrent high-level activities for UUV mission operations
… and solves the PWRATSP formulation as a mixed integer linear program (MILP). Finally, the algorithm employs a receding horizon approach to improve MILP computational performance and account for unexpected events and changes to the environment. Simulation results for test cases combining …
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Optimal monitoring and mitigation of systemic risk in lending networks
… we show that this problem is equivalent to a linear program. We develop a duality-based distributed algorithm to solve it which is useful for applications where it is desirable to avoid centralized data gathering and computation. Since some applications require forecasting and planning for a …
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A robust optimization approach to network design
… problems are formulated as a convex mathematical program. To extend this formulation to discrete optimization problems, such as the link placement sub-problem, it is reformulated as a mixed integer linear program (MILP) by extending tools from robust optimization to Gaussian variables. Bounds are …
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