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Articles 1 - 8 of 8

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu Feb 2018

Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

This paper proposes an agent-based simulation model to study the biomass supply contract pricing and policy making in the biofuel industry. In the proposed model, the agents include farmers and a biofuel producer. Farmers' decision-making is assumed to be profit driven, which is formulated as a mixed-integer optimization model, and the biofuel producer's pricing decision is represented with a linear equation with an objective to maximize profits. A case study based on Iowa has been developed to analyze the interactions between the stakeholders and assist determination of the optimal pricing equation for the biofuel producer. Simulation results show that ...


Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen Jan 2016

Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Abstract: This paper considers multi-agent distributed optimization with quantized communication which is needed when inter-agent communications are subject to finite capacity and other practical constraints. To minimize the global objective formed by a sum of local convex functions, we develop a quantized distributed algorithm based on the alternating direction method of multipliers (ADMM). Under certain convexity assumptions, it is shown that the proposed algorithm converges to a consensus within log1+η Ω iterations, where η > 0 depends on the network topology and the local objectives, and O is a polynomial fraction depending on the quantization resolution, the distance between initial ...


Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems, Mingyi Hong, Zhi-Quan Luo, Mesiam Razaviyayn Jan 2016

Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems, Mingyi Hong, Zhi-Quan Luo, Mesiam Razaviyayn

Industrial and Manufacturing Systems Engineering Publications

The alternating direction method of multipliers (ADMM) is widely used to solve large-scale linearly constrained optimization problems, convex or nonconvex, in many engineering fields. However there is a general lack of theoretical understanding of the algorithm when the objective function is nonconvex. In this paper we analyze the convergence of the ADMM for solving certain nonconvex consensus and sharing problems. We show that the classical ADMM converges to the set of stationary solutions, provided that the penalty parameter in the augmented Lagrangian is chosen to be sufficiently large. For the sharing problems, we show that the ADMM is convergent regardless ...


An Optimization Approach To Assessing The Self-Sustainability Potential Of Food Demand In The Midwestern United States, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt Oct 2011

An Optimization Approach To Assessing The Self-Sustainability Potential Of Food Demand In The Midwestern United States, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt

Apparel, Events and Hospitality Management Publications

Conventional agriculture faces significant challenges as world population grows, food demand increases, and mobility becomes increasingly constrained. Reducing the distance food needs to travel is an important goal of sustainability and resiliency, particularly in the context of a variety of transportation challenges. In this study, we developed a linear programming optimization method to assess the potential of regions to meet dietary requirements with more localized and diversified agricultural systems. Emphasis is on minimizing the distance between population centers and available cropland, accounting for variations in yield among 40 of the most marketable food crops that can be grown in the ...


Analyzing Sustainable, Localized Food Production Systems With A Systematic Optimization Model, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt Jan 2011

Analyzing Sustainable, Localized Food Production Systems With A Systematic Optimization Model, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt

Apparel, Events and Hospitality Management Publications

Localized food production and sourcing is drawing increasing attention due to environmental and health considerations. In this study, we used population, dietary and geographical information to map potential foodsheds with emphasis on minimizing total geographic distribution. We also developed innovative protocols, metrics and optimization methods to analyze the foodshed localization of geographic areas. We used data from Iowa to analyze and validate the optimization model. This study can also be extended to other regions outside of Iowa.


A Lot Aggregation Optimization Model For Minimizing Food Traceability Effort, Maitri Thakur, Lizhi Wang, Charles R. Hurburgh Jr. Jun 2009

A Lot Aggregation Optimization Model For Minimizing Food Traceability Effort, Maitri Thakur, Lizhi Wang, Charles R. Hurburgh Jr.

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

This paper proposes a lot aggregation optimization model for minimizing the traceability effort at a grain elevator. The problem involves blending of bulk grain to meet customer specifications. A mathematical multi-objective mixed integer programming (MIP) model is proposed with two objective functions. The objective functions allow in calculating the minimum levels of lot aggregation and minimum discounts that need to be applied to a shipment when the customer contract specifications are not met. Constraints on the system include customer contract specifications, availability of grain at the elevator and the blending requirements. The solutions include the quantities of grain lots from ...


Ontologies For Supporting Engineering Design Optimization, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse Jun 2007

Ontologies For Supporting Engineering Design Optimization, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse

Center for e-Design Publications

This paper presents an optimization ontology and its implementation into a prototype computational knowledge-based tool dubbed ONTOP (ontology for optimization). Salient feature of ONTOP include a knowledge base that incorporates both standardized optimization terminology, formal method definitions, and often unrecorded optimization details, such as any idealizations and assumptions that may be made when creating an optimization model, as well as the model developer’s rationale and justification behind these idealizations and assumptions. ONTOP was developed using Protégé, a Java-based, free open-source ontology development environment created by Stanford University. Two engineering design optimization case studies are presented. The first case study ...


Optimal Price And Quantity Of Refurbished Products, Jumpol Vorasayan, Sarah M. Ryan Jan 2006

Optimal Price And Quantity Of Refurbished Products, Jumpol Vorasayan, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

Many retail product returns can be refurbished and resold, typically at a reduced price. The price set for the refurbished products affects the demands for both new and refurbished products, while the refurbishment and resale activities incur costs. To maximize profit, a manufacturer in a competitive market must carefully choose the proportion of returned products to refurbish and their sale price. We model the sale, return, refurbishment, and resale processes in an open queueing network and formulate a mathematical program to find the optimal price and proportion to refurbish. Examination of the optimality conditions reveals the different situations in which ...