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Nicolas Campbell; Miguel Peinado-Guerrero; Jesus Rene Villalobos; Patrick Phelan. A Comprehensive Framework for Distributed Energy Resource Aggregators. 2021, 1 .
AMA StyleNicolas Campbell, Miguel Peinado-Guerrero, Jesus Rene Villalobos, Patrick Phelan. A Comprehensive Framework for Distributed Energy Resource Aggregators. . 2021; ():1.
Chicago/Turabian StyleNicolas Campbell; Miguel Peinado-Guerrero; Jesus Rene Villalobos; Patrick Phelan. 2021. "A Comprehensive Framework for Distributed Energy Resource Aggregators." , no. : 1.
Demand-side management has gained traction as a means for energy service providers to persuade their customers to change the pattern of their energy use. The aim is typically to create a balance between electrical supply and demand, particularly with the introduction of variable distributed resources such as solar. This paper proposes a non-intrusive methodology for evaluating an energy customer's potential for participation in demand-side management programs with a focus on manufacturing facilities. The methodology rests on modeling the stochasticity of individuals' energy loads to estimate when peak demand is most likely to occur. The proposed methodology is applied to the design of solar photovoltaic power generation for the purpose of maximum demand-side peak reduction in the targeted facility. The results of a case study reveal that the proposed methodology enabled a user to attain 2.5% more cost savings, while reducing the amount of electrical energy sold back to the utility company by 45.8%.
Miguel A. Peinado-Guerrero; Jesus R. Villalobos; Patrick E. Phelan; Nicolas A. Campbell. Stochastic framework for peak demand reduction opportunities with solar energy for manufacturing facilities. Journal of Cleaner Production 2021, 313, 127891 .
AMA StyleMiguel A. Peinado-Guerrero, Jesus R. Villalobos, Patrick E. Phelan, Nicolas A. Campbell. Stochastic framework for peak demand reduction opportunities with solar energy for manufacturing facilities. Journal of Cleaner Production. 2021; 313 ():127891.
Chicago/Turabian StyleMiguel A. Peinado-Guerrero; Jesus R. Villalobos; Patrick E. Phelan; Nicolas A. Campbell. 2021. "Stochastic framework for peak demand reduction opportunities with solar energy for manufacturing facilities." Journal of Cleaner Production 313, no. : 127891.
Demand-side management (DSM) in industrial facilities provides an opportunity for substantial amounts of energy cost savings, since industrial facilities are the largest energy consuming sectors globally. In this work, energy storage (ES) technologies are critically reviewed and compared with industrial DSM in mind. ES technologies reviewed herein include lithium-ion battery energy storage (BES), sodium-sulfur BES, lead-acid BES, flow BES, supercapacitor ES, superconducting magnetic ES, thermal ES, flywheel ES, pumped hydro ES, and compressed air ES. The fundamentals of these energy storage technologies are reviewed in detail including recent developments, followed by case studies and extensive comparisons. These comparisons include, but are not limited to cost per cycle analyses, levelized cost of energy analyses, and comparisons between performance, transient, and cost characteristics. Some key properties analyzed include the rated power, power density, efficiency, lifetime, discharge time, capital costs, and O&M costs.
Joseph Elio; Patrick Phelan; Rene Villalobos; Ryan J. Milcarek. A review of energy storage technologies for demand-side management in industrial facilities. Journal of Cleaner Production 2021, 307, 127322 .
AMA StyleJoseph Elio, Patrick Phelan, Rene Villalobos, Ryan J. Milcarek. A review of energy storage technologies for demand-side management in industrial facilities. Journal of Cleaner Production. 2021; 307 ():127322.
Chicago/Turabian StyleJoseph Elio; Patrick Phelan; Rene Villalobos; Ryan J. Milcarek. 2021. "A review of energy storage technologies for demand-side management in industrial facilities." Journal of Cleaner Production 307, no. : 127322.
Wastewater treatment plant (WWTP) utilization of combined heat and power (CHP) systems allows for the efficient use of on-site biogas production, as well as increased annual savings in utility costs. In this paper, a review of biogas energy recovery options, CHP prime mover technologies, and the costs associated with biogas cleaning give a broad summary of the current state of CHP technology in WWTPs. Even though there are six different prime mover technologies, the main ones currently being implemented in WWTPs are micro turbines, fuel cells and reciprocating engines. Different prime movers offer varying efficiencies, installation costs, and biogas impurity (H2S, siloxanes, HCl) tolerances. To evaluate the long-term savings capabilities, a techno-economic assessment of a CHP installation at a case study WWTP shows the payback, annual savings, and initial costs associated with the installation of a CHP system. In this case, a study a payback of 5.7 years and a net present value of USD 709,000 can be achieved when the WWTP generates over 2,000,000 m3 of biogas per year and utilizes over 36,000 GJ of natural gas per year.
Derall M. Riley; Jiashen Tian; Gamze Güngör-Demirci; Patrick Phelan; J. Rene Villalobos; Ryan J. Milcarek. Techno-Economic Assessment of CHP Systems in Wastewater Treatment Plants. Environments 2020, 7, 74 .
AMA StyleDerall M. Riley, Jiashen Tian, Gamze Güngör-Demirci, Patrick Phelan, J. Rene Villalobos, Ryan J. Milcarek. Techno-Economic Assessment of CHP Systems in Wastewater Treatment Plants. Environments. 2020; 7 (10):74.
Chicago/Turabian StyleDerall M. Riley; Jiashen Tian; Gamze Güngör-Demirci; Patrick Phelan; J. Rene Villalobos; Ryan J. Milcarek. 2020. "Techno-Economic Assessment of CHP Systems in Wastewater Treatment Plants." Environments 7, no. 10: 74.
Recent developments in consumption patterns, lowering of trade barriers, the emergence of low cost/miniature sensors and information technologies, and advanced business analytics tools are changing the playing field on which most of the agri-food supply chains operate. The intelligent use of sensing and information technologies has the potential to start a new food revolution in which limited resources such as water, capital, transportation capacity and labor could be optimally exploited so that fresh food, in particular fruits and vegetables, get to the consumer with minimal or no food waste. One of the keys for making this vision a reality is transforming the data collected as these products traverse the supply chain into effective and efficient supply chain decisions. This transformation relies on that the underlying decision systems that take advantage of this data exist or can be developed. The aim of this paper is to provide an overview of the state of the art and challenges and opportunities emerging from the integration of sensing data and information into decision support systems for supply chain of fresh fruits and vegetables.
J. René Villalobos; Wladimir E. Soto-Silva; Marcela C. González-Araya; Rosa G. González–Ramirez. Research directions in technology development to support real-time decisions of fresh produce logistics: A review and research agenda. Computers and Electronics in Agriculture 2019, 167, 105092 .
AMA StyleJ. René Villalobos, Wladimir E. Soto-Silva, Marcela C. González-Araya, Rosa G. González–Ramirez. Research directions in technology development to support real-time decisions of fresh produce logistics: A review and research agenda. Computers and Electronics in Agriculture. 2019; 167 ():105092.
Chicago/Turabian StyleJ. René Villalobos; Wladimir E. Soto-Silva; Marcela C. González-Araya; Rosa G. González–Ramirez. 2019. "Research directions in technology development to support real-time decisions of fresh produce logistics: A review and research agenda." Computers and Electronics in Agriculture 167, no. : 105092.
Hector Flores; J. Rene Villalobos. A modeling framework for the strategic design of local fresh-food systems. Agricultural Systems 2018, 161, 1 -15.
AMA StyleHector Flores, J. Rene Villalobos. A modeling framework for the strategic design of local fresh-food systems. Agricultural Systems. 2018; 161 ():1-15.
Chicago/Turabian StyleHector Flores; J. Rene Villalobos. 2018. "A modeling framework for the strategic design of local fresh-food systems." Agricultural Systems 161, no. : 1-15.
Hector Flores; Cesar Meneses; J. Rene Villalobos; Octavio Sanchez. Improvement of feedlot operations through statistical learning and business analytics tools. Computers and Electronics in Agriculture 2017, 143, 273 -285.
AMA StyleHector Flores, Cesar Meneses, J. Rene Villalobos, Octavio Sanchez. Improvement of feedlot operations through statistical learning and business analytics tools. Computers and Electronics in Agriculture. 2017; 143 ():273-285.
Chicago/Turabian StyleHector Flores; Cesar Meneses; J. Rene Villalobos; Octavio Sanchez. 2017. "Improvement of feedlot operations through statistical learning and business analytics tools." Computers and Electronics in Agriculture 143, no. : 273-285.
Many significant advances have been made in agriculture over the past century; we now have the ability, in theory, to feed the entire world population. Nonetheless, “there still remain great hunger, health and environmental concerns remaining to be addressed” (Hazell and Wood 2008). These are not problems that can be solved simply by increasing agricultural production (Alexandratos and Bruinsma 2006), especially considering the environmental issues that if left unchecked could adversely affect food supply in the future (M.E.A. 2005). Even though increasing agricultural yields and developing better varieties have great importance, a significant breakthrough can be made through better management of agricultural supply chains. The potential for better resource efficiency should not be overlooked, especially in view that one-third of the food produced for human consumption is estimated to be lost or wasted globally; some of the loss can be attributed to a lack of coordination of the different actors of the supply chain (Gustavsson et al. 2011). Thus, the issue of how to efficiently meet the demand with the production available is of utmost importance when high levels of perishability are present in the underlying product, as it is the case in fresh produce. For this reason the planning of supply chain will play an increasingly key role in the definition of those products that are successfully marketed.
Nicholas Mason; Héctor Flores; J. René Villalobos; Omar Ahumada. Planning the Planting, Harvest, and Distribution of Fresh Horticultural Products. Handbook of Healthcare Logistics 2015, 19 -54.
AMA StyleNicholas Mason, Héctor Flores, J. René Villalobos, Omar Ahumada. Planning the Planting, Harvest, and Distribution of Fresh Horticultural Products. Handbook of Healthcare Logistics. 2015; ():19-54.
Chicago/Turabian StyleNicholas Mason; Héctor Flores; J. René Villalobos; Omar Ahumada. 2015. "Planning the Planting, Harvest, and Distribution of Fresh Horticultural Products." Handbook of Healthcare Logistics , no. : 19-54.
Hector Flores; J. Rene Villalobos. Using market intelligence for the opportunistic shipping of fresh produce. International Journal of Production Economics 2013, 142, 89 -97.
AMA StyleHector Flores, J. Rene Villalobos. Using market intelligence for the opportunistic shipping of fresh produce. International Journal of Production Economics. 2013; 142 (1):89-97.
Chicago/Turabian StyleHector Flores; J. Rene Villalobos. 2013. "Using market intelligence for the opportunistic shipping of fresh produce." International Journal of Production Economics 142, no. 1: 89-97.
Every year, more than 11 million maritime containers and 11 million commercial trucks arrive in the United States, carrying all types of imported goods. As it would be costly to inspect every container, only a fraction of them are inspected before being admitted into the United States. In this paper, a multi-objective optimization (MOO) model is developed for primary allocation of the scarce inspection resources at a POE, especially a land POE (L-POE). This model minimizes the different costs associated with the inspection process, including those associated with delaying the entry of legitimate imports. The resulting model is exploited in two different ways: One is to construct the efficient frontier of the MOO model or a partial efficient frontier with diversity of the solutions maximized; the other is to evaluate a given inspection plan and provide possible suggestions for improvement. The methodologies are described in detail and a simple case study is provided.
Liangjie Xue; J. Rene Villalobos. A multi-objective optimization primary planning model for a POE (Port-of-Entry) inspection. Journal of Transportation Security 2012, 5, 217 -237.
AMA StyleLiangjie Xue, J. Rene Villalobos. A multi-objective optimization primary planning model for a POE (Port-of-Entry) inspection. Journal of Transportation Security. 2012; 5 (3):217-237.
Chicago/Turabian StyleLiangjie Xue; J. Rene Villalobos. 2012. "A multi-objective optimization primary planning model for a POE (Port-of-Entry) inspection." Journal of Transportation Security 5, no. 3: 217-237.
This paper presents an operational model that generates short term planning decisions for the fresh produce industry. In particular, the application developed helps the grower to maximize his revenues by making production and distribution decisions during the harvest season. The main motivation for this model comes from the fact that the profitability of producers is highly dependent on the handling of short term planning in the harvest season. Some of the factors affecting profitability include the management of labor costs, the preservation of the value of perishable crops, and the use transportation modes that provide the best trade-off between time (quality of products) and cost. These issues are interrelated, and their judicious management is fundamental for attaining good financial results. The results of the proposed planning model indicate that significant savings can be obtained by managing the trade-off of the freshness at the delivery of the product with the added labor and transportation cost at the grower's side. Moreover the results also show that dynamic, information based, management practices might be preferred over traditional practices based in fixed labor allocation and distribution practices.
Omar Ahumada; J. Rene Villalobos. Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics 2011, 133, 677 -687.
AMA StyleOmar Ahumada, J. Rene Villalobos. Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics. 2011; 133 (2):677-687.
Chicago/Turabian StyleOmar Ahumada; J. Rene Villalobos. 2011. "Operational model for planning the harvest and distribution of perishable agricultural products." International Journal of Production Economics 133, no. 2: 677-687.
This article presents a methodology to measure relative industrial energy efficiency across plants within a manufacturing sector through the use of energy‐production signatures (EPSs). Linear programming in combination with regression methods, benchmarking and simulation models are used to study the behavior of a representative manufacturing plant. The methodology is validated using data available from the Department of Energy database. The proposed EPSs can be used for proactive benchmarking and diagnostic purposes leading to improvements in energy consumption for individual companies. The results show that the proposed methodology successfully identifies energy and production inefficiencies within a manufacturing segment. Copyright © 2010 John Wiley & Sons, Ltd.
Fernando Aguirre; J. Rene Villalobos; Patrick Phelan; Rafael Pacheco. Assessing the relative efficiency of energy use among similar manufacturing industries. International Journal of Energy Research 2011, 35, 477 -488.
AMA StyleFernando Aguirre, J. Rene Villalobos, Patrick Phelan, Rafael Pacheco. Assessing the relative efficiency of energy use among similar manufacturing industries. International Journal of Energy Research. 2011; 35 (6):477-488.
Chicago/Turabian StyleFernando Aguirre; J. Rene Villalobos; Patrick Phelan; Rafael Pacheco. 2011. "Assessing the relative efficiency of energy use among similar manufacturing industries." International Journal of Energy Research 35, no. 6: 477-488.
We present an integrated tactical planning model for the production and distribution of fresh produce. The main objective of the model is to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop. The model is used for making planning decisions for a large fresh produce grower in Northwestern Mexico. The decisions obtained are based on traditional factors such as price estimation and resource availability, but also on factors that are usually neglected in traditional planning models such as price dynamics, product decay, transportation and inventory costs. The model considers the perishability of the crops in two different ways, as a loss function in its objective function, and as a constraint for the storage of products. The paper presents a mixed integer programming model used to implement the problem as wells as the computational results obtained from it.
Omar Ahumada; Jesus René Villalobos. A tactical model for planning the production and distribution of fresh produce. Annals of Operations Research 2009, 190, 339 -358.
AMA StyleOmar Ahumada, Jesus René Villalobos. A tactical model for planning the production and distribution of fresh produce. Annals of Operations Research. 2009; 190 (1):339-358.
Chicago/Turabian StyleOmar Ahumada; Jesus René Villalobos. 2009. "A tactical model for planning the production and distribution of fresh produce." Annals of Operations Research 190, no. 1: 339-358.
The supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). This implies that the traditional supply chain practices may be subject to revision and change. One of the aspects that may be the subject of considerable scrutiny is the planning activities performed along the supply chains of agricultural products. In this paper, we review the main contributions in the field of production and distribution planning for agri-foods based on agricultural crops. We focus particularly on those models that have been successfully implemented. The models are classified according to relevant features, such as the optimization approaches used, the type of crops modeled and the scope of the plans, among many others. Through our analysis of the current state of the research, we diagnose some of the future requirements for modeling the supply chain of agri-foods.
Omar Ahumada; J. Rene Villalobos. Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research 2009, 196, 1 -20.
AMA StyleOmar Ahumada, J. Rene Villalobos. Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research. 2009; 196 (1):1-20.
Chicago/Turabian StyleOmar Ahumada; J. Rene Villalobos. 2009. "Application of planning models in the agri-food supply chain: A review." European Journal of Operational Research 196, no. 1: 1-20.
Este proyecto dise˜na e implementa un nuevo m´odulo como parte de una herramientapara el an´alisis de actividades log´?sticas llamada ”Logistika”, que fue desarrolladapor algunos alumnos de posgrado en la Universidad del Estado de Arizona (ASU).Inicialmente, Logistika solo ten´?a disponible el “M´odulo para la localizaci´on de plantas”,pero nosotros realizamos una extensi´on para incluir un nuevo m´odulo llamado“M´odulo para la consolidaci´on de env´?os”. El objetivo es determinar la mejor estrategiade distribuci´on para productos manufacturados en Mexico hacia clientes ubicados en Estados Unidos. La herramienta explora dos estrategias de consolidaci´on: porveh´?culos y por terminales para minimizar los costos de transportaci´on e inventario entr´ansito incurridos. Tambi´en se considera que se desea localizar un centro de consolidaci´on en M´exico para el cual la mejor ubicaci´on debe ser encontrada.Palabras clave: Consolidaci´on, Localizaci´on Minimizaci´on de Costos, Ruteo.
Rosa G. González-Ramírez; Ronald G. Askin; Neale R. Smith; René Villalobos. Shipment consolidation by terminals and vehicles. Revista de Matemática: Teoría y Aplicaciones 2009, 16, 178 -187.
AMA StyleRosa G. González-Ramírez, Ronald G. Askin, Neale R. Smith, René Villalobos. Shipment consolidation by terminals and vehicles. Revista de Matemática: Teoría y Aplicaciones. 2009; 16 (1):178-187.
Chicago/Turabian StyleRosa G. González-Ramírez; Ronald G. Askin; Neale R. Smith; René Villalobos. 2009. "Shipment consolidation by terminals and vehicles." Revista de Matemática: Teoría y Aplicaciones 16, no. 1: 178-187.
The traditional balanced assembly line designs can perform quite inefficiently under the presence of high labor turnover, low operator learning rates, and stochastic processing times. In these situations assembly line designs based on dynamic work allocation and work sharing principles have been shown to render a higher and less variable throughput. However, for situations where low labor turnover conditions and high operator learning rates exist, the traditional balanced lines still tend to be most productive. This paper has two objectives: to introduce a method based on work sharing principles, which we denominate Modified Work Sharing (MWS), and to develop some simple analytical tools that will allow us to compare the performance of this method with the traditional and other dynamic work allocation line designs. These results suggest that the traditional method is the most affected by the introduction of new operators in the production lines and thus the most affected by variability in general. On the other hand, dynamic work allocation methods appear to better absorb the variability introduced by new operators by sharing the workload of new operators with the more experienced members of the line.
A. Montano; J. R. Villalobos; M. A. Gutiérrez; L. Mar. Performance of serial assembly line designs under unequal operator speeds and learning. International Journal of Production Research 2007, 45, 5355 -5381.
AMA StyleA. Montano, J. R. Villalobos, M. A. Gutiérrez, L. Mar. Performance of serial assembly line designs under unequal operator speeds and learning. International Journal of Production Research. 2007; 45 (22):5355-5381.
Chicago/Turabian StyleA. Montano; J. R. Villalobos; M. A. Gutiérrez; L. Mar. 2007. "Performance of serial assembly line designs under unequal operator speeds and learning." International Journal of Production Research 45, no. 22: 5355-5381.