In order to explore the potential of profit margin improvement,a novel three-scale integrated optimization model of furnace simulation,cyclic scheduling,and supply chain of ethylene plants is proposed and evaluated.A ...
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In order to explore the potential of profit margin improvement,a novel three-scale integrated optimization model of furnace simulation,cyclic scheduling,and supply chain of ethylene plants is proposed and evaluated.A decoupling strategy is proposed for the solution of the three-scale model,which uses our previously proposed reactor scale model for operation optimization and then transfers the obtained results as a parameter table in the joint MILP optimization of plant-supply chain scale for cyclic *** optimization framework simplifies the fundamental mixed-integer nonlinearprogramming(MINLP)into several sub-models,and improves the interpretability and *** the evaluation of an industrial case,a profit increase at a percentage of 3.25%is attained in optimization compared to the practical *** sensitivity analysis is carried out for strategy evolving study when price policy,supply chain,and production requirement parameters are *** results could provide useful suggestions for petrochemical enterprises on thermal cracking production.
Purpose-Drugs are strategic products with essential functions in human *** optimum design of the pharmaceutical supply chain is critical to avoid economic damage and adverse effects on human *** vehicle-routing proble...
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Purpose-Drugs are strategic products with essential functions in human *** optimum design of the pharmaceutical supply chain is critical to avoid economic damage and adverse effects on human *** vehicle-routing problem,focused on finding the lowest-cost routes with available vehicles and constraints,such as time constraints and road length,is an important aspect of *** this paper,the vehicle routing problem(VRP)for a pharmaceutical company in Turkey is ***/methodology/approach-A mixed-integerprogramming(MIP)model based on the vehicle routing problem with time windows(VRPTW)is presented,aiming to minimize the total route cost with certain *** the model provides an optimum solution for small problem sizes with the GUROBI®solver,for large problem sizes,metaheuristic methods that simulate annealing and adaptive large neighborhood search algorithms are proposed.A real dataset was used to analyze the effectiveness of the metaheuristic *** proposed simulated annealing(SA)and adaptive large neighborhood search(ALNS)were evaluated and compared against GUROBI®and each other through a set of real problem ***-The model is solved optimally for a small-sized dataset with exact algorithms;for solving a larger dataset,however,metaheuristic algorithms require significantly lesser *** the problem addressed in this study,while the metaheuristic algorithms obtained the optimum solution in less than one minute,the solution in the GUROBI®solver was limited to one hour and three hours,and no solution could be obtained in this time ***/value-The VRPTW problem presented in this paper is a real-life *** vehicle fleet owned by the factory cannot be transported between certain suppliers,which complicates the solution of the problem.
Finding the balance between economy and low emission of an integrated energy system (IES) has become one of the current research hotspots. This article introduces the carbon tax and carbon capture (storage) technology...
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Finding the balance between economy and low emission of an integrated energy system (IES) has become one of the current research hotspots. This article introduces the carbon tax and carbon capture (storage) technology within the framework of the IES model. The IES comprises of components such as combined heat and power units equipped with carbon capture facilities, wind power generators, photovoltaic panels, and energy storage systems. The objective function of the model is the minimization of operational costs. Low-carbon economic operation dispatching problem under the constraints of energy conversion, energy balance, and operation cost is studied based on a mix-integerlinearprogramming model. Through sensitivity analysis, this study explores the impact of varying carbon tax levels on the operational costs and emissions of an IES while considering peak and valley price differences. The emission reduction potential of the IES under different policy and technology scenarios is also estimated.
The envisioned concept of Urban Air Mobility (UAM) introduces new challenges for computing safe trajectories. A safe trajectory must ensure that a vertiport to conduct a safety landing is always within reach in the ev...
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ISBN:
(数字)9781624107160
ISBN:
(纸本)9781624107160
The envisioned concept of Urban Air Mobility (UAM) introduces new challenges for computing safe trajectories. A safe trajectory must ensure that a vertiport to conduct a safety landing is always within reach in the event of a contingency. Moreover, the trajectory must avoid any no-fly zones. Computing optimal trajectories that fulfill both requirements is particularly complicated for areas with numerous no-fly zones and vertiports because the resulting optimization problem involves continuous and discrete variables. As a consequence, the problem cannot be optimized efficiently using collocation- or shooting-based methods. Instead, we propose a linearmixed-integer-based formulation of the problem, which can be solved using mixed-integer linear programming (MILP) solvers. Our approach considers electric Vertical Take-Off and Landing aircraft (eVTOL), which can transition between vertical and wingborne flight. The capabilities of the approach are demonstrated with a two-dimensional example.
In the rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) and Generative AI (GenAI) have emerged as front-runners in shaping the next generation of intelligent applications, where huma...
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ISBN:
(纸本)9781510674356;9781510674349
In the rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) and Generative AI (GenAI) have emerged as front-runners in shaping the next generation of intelligent applications, where human-like data generation is necessary. While their capabilities have shown transformative potential in centralized computing environments, there is a growing shift towards decentralized edge AI models, where computations are orchestrated closer to data sources to provide immediate insights, faster response times, and localized intelligence without the overhead of cloud communication. For latency-critical applications like autonomous vehicle driving, GenAI at the edge is vital, allowing vehicles to instantly generate and adapt driving strategies based on ever-changing road conditions and traffic patterns. In this paper, we propose a latency-aware service placement approach, designed for the seamless deployment of GenAI services on these cloudlets. We represent GenAI as a Direct Acyclic Graph, where GenAI operations represent the nodes and the dependencies between these operations represent the edges. We propose an Ant Colony Optimization approach that guides the placement of GenAI services at the edge based on capabilities of cloudlets and network conditions. Through experimental validation, we achieve notable GenAI performance at the edge with lower latency and efficient resource utilization. This advancement is expected to revolutionize and innovate in the field of GenAI, paving the way for more efficient and transformative applications at the edge.
This paper proposes a method for establishing unit commitment (UC) problems based on state transitions. Specifically, this paper utilizes states to demonstrate the characteristics of generators, generates all relation...
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ISBN:
(纸本)9798350349047;9798350349030
This paper proposes a method for establishing unit commitment (UC) problems based on state transitions. Specifically, this paper utilizes states to demonstrate the characteristics of generators, generates all relationships between these states, and establishes UC problems as a mixed-integer linear programming model. Due to this state transition formulation only requires describing the characteristics as states and their state transition relationships, this state transition formulation for UC problems permits more complex operation characteristics. Numerical experiments are conducted in this paper to verify the effectiveness of the state transition formulation for UC problems.
PurposeThis paper aims at developing a multi-objective mathematical model of circular economy that integrates key concept of leasing as a strategy in addition to reuse, refurbishing, primary recycling, secondary recyc...
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PurposeThis paper aims at developing a multi-objective mathematical model of circular economy that integrates key concept of leasing as a strategy in addition to reuse, refurbishing, primary recycling, secondary recycling and ***/methodology/approachThis paper proposes multi-objective fuzzy mixedintegerlinearprogramming mathematical model considering multi-product, multi-echelon and multi-capacitated concepts of the circular economy. The three objectives of the proposed model, namely, economic, environmental and social are solved simultaneously using constraint approach to obtain balanced trade-off between the objective functions. The model is validated by solving a case study from the literature. The proposed model is made pragmatic for industrial application by considering multi-external suppliers multi-customer zones, multi-disassembly centers, multi-collection centers and multi-refurbishing centers and accounting for purchasing, processing, transportation, set-up costs and capacity constraints at the same *** results show that the leasing of the products improves the economic function in addition to the known environmental improvements. The proposed model also shows that the circular economy can generate the jobs for the unskilled people at different *** limitations/implicationsThe proposed model can be further improved by considering the non-linearity due to economy of scale at various centers and in transportation. The model can be further extended to make it multi-period *** implicationsThe proposed model of circular economy can be used by the organizations as a policy tool to decide the optimum number of collection centers, disassembly centers, refurbishing centers, recycling centers and disposal centers and their optimum locations and allocations. The organizations can also trade-off among economic, environmental and social benefits of their proposed decisions in circular ***/valueThe or
The world population is increasing rapidly, and recent awareness of the limits of natural resources and the pollution of soil, air and water, is pushing towards a new form of agriculture, sustainable agriculture. Sust...
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The frozen food sector accounts for a significant share of the food market, a trend that is being fueled by shifting socioeconomic and technical advancements. However, the production process consumes a significant qua...
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The modernization of forest harvesting operations has significantly increased the cost of machine ownership and has turned forest harvesting into a capital-intensive process. To increase productivity and profitability...
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The modernization of forest harvesting operations has significantly increased the cost of machine ownership and has turned forest harvesting into a capital-intensive process. To increase productivity and profitability, some companies have acquired multi-task harvesting machines. While many previous papers focused on optimizing the harvest scheduling to reduce the costs of harvesting, the assignment of multi-task machines was not considered in their models. In this work, an optimization model is developed for the detailed scheduling of harvesting activities on multiple cut blocks using multi-task machines. This model is a continuation of previous work on detailed harvest scheduling. It prescribes the start time and the end time of operations of each machine at each cut block, the number of machines to be assigned for each harvesting activity at each cut block, the cut block that the machine should move to after completing its operation at a cut block, and the type of activity it should perform. It is applied to a case study of a forest company in Canada. According to the results, the total harvesting cost decreased by Can$ 25,000 when multi-task machines were used compared to exclusive machines, due to less machine movement and the need for fewer machines.
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