Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
61,795
result(s) for
"Distribution planning"
Sort by:
Mid- to Long-Term Distribution System Planning Using Investment-Based Modeling
This study presents a practical and scalable framework for the mid- to long-term distribution network planning that reflects real-world infrastructure constraints and investment requirements. While traditional methods often rely on simplified network models or reactive reinforcement strategies, the proposed approach introduces an investment-oriented planning model that explicitly incorporates physical elements such as duct capacity, pole availability, and installation feasibility. A linear programming (LP) formulation is adopted to determine the optimal routing and sizing of new facilities under technical constraints including voltage regulation, power balance, and substation capacity limits. To validate the model’s effectiveness, actual infrastructure and load data were used. The results show that the model can derive cost-efficient expansion strategies over a five-year horizon by prioritizing existing infrastructure use and flexibly adapting to spatial limitations. The proposed approach enables utility planners to make realistic, data-driven decisions and supports diverse scenario analyses through a modular structure. By embedding investment logic directly into the network model, this framework bridges the gap between high-level planning strategies and the engineering realities of distribution system expansion.
Journal Article
City power : urban governance in a global age
\"Reigning theories of urban power suggest that in a world dominated by footloose transnational capital, cities have little capacity to effect social change. In City Power, Schragger challenges this conventional wisdom, arguing that cities can and should pursue aims other than making themselves attractive to global capital. Using the municipal living wage movement as an example, Schragger explains why cities are well-positioned to address issues like income equality and how our institutions can be designed to allow them to do so\"-- Provided by publisher.
Book
An optimization model for demand-driven distribution resource planning DDDRP
Purpose: Demand-Driven Distribution Resource Planning (DDDRP) has recently been proposed in the literature to deal with higher supply networks complexity, shorter customer tolerance times, and inaccurate forecasts. The DDDRP requires to position inventory buffers in critical network nodes, where the inventory level in each buffer is replenished based on actual demands rather than on demand forecasts. This paper aims to identify optimal buffer positions in a distribution network driven by the DDDRP approach and to assess the performance of the DDDRP approach compared to the conventional Distribution Resource Planning (DRP) approach.Design/methodology/approach: First, a mixed-integer non-linear model is proposed to optimize buffer positioning under supply network constraints and with the objective of minimizing supply chain holding costs. Then, a case study is investigated to validate the optimization model and to evaluate the performance of the optimized distribution network driven by the DDDRP approach, compared to the DRP approach.Findings: Results of the considered case study demonstrate that the distribution network optimized and driven by the DDDRP approach achieves savings of 75% in terms of total holding costs and 67% in terms of inventory amounts, compared to a distribution network driven by the DRP approach.Research limitations/implications: Results of this paper cannot be generalized since several assumptions have been considered. Thus, addressing real case studies in different industrial contexts may be of theoretical and practical interest.Originality/value: This paper is the first to propose a mathematical model to optimize buffer positioning in a distribution network driven by the DDDRP approach.
Journal Article
Baltimore revisited : stories of inequality and resistance in a U.S. city
\"Nicknamed both \"Mobtown\" and \"Charm City\" and located on the border of the North and South, Baltimore is a city of contradictions. From media depictions in The Wire to the real-life trial of police officers for the murder of Freddie Gray, Baltimore has become a quintessential example of a struggling American city. Yet the truth about Baltimore is far more complicated--and more fascinating.
To help untangle these apparent paradoxes, the editors of Baltimore Revisited have assembled a collection of over thirty experts from inside and outside academia. Together, they reveal that Baltimore has been ground zero for a slew of neoliberal policies, a place where inequality has increased as corporate interests have eagerly privatized public goods and services to maximize profits. But they also uncover how community members resist and reveal a long tradition of Baltimoreans who have fought for social justice.
The essays in this collection take readers on a tour through the city's diverse neighborhoods, from the Lumbee Indian community in East Baltimore to the crusade for environmental justice in South Baltimore. Baltimore Revisited examines the city's past, reflects upon the city's present, and envisions the city's future\"-- Provided by publisher.
To help untangle these apparent paradoxes, the editors of Baltimore Revisited have assembled a collection of over thirty experts from inside and outside academia. Together, they reveal that Baltimore has been ground zero for a slew of neoliberal policies, a place where inequality has increased as corporate interests have eagerly privatized public goods and services to maximize profits. But they also uncover how community members resist and reveal a long tradition of Baltimoreans who have fought for social justice.
The essays in this collection take readers on a tour through the city's diverse neighborhoods, from the Lumbee Indian community in East Baltimore to the crusade for environmental justice in South Baltimore. Baltimore Revisited examines the city's past, reflects upon the city's present, and envisions the city's future\"-- Provided by publisher.
Book
Managing perishability in production-distribution planning: a discussion and review
Managing perishability may represent a remarkable problem in supply chain management of a varied set of industries. In fact, perishability can influence, for example, productivity or customer service and it may happen to occur in one or more processes throughout the supply chain. In this paper a review on planning models that handle perishability issues in production and distribution is conducted. The contribution of this paper is three-fold. First, a new framework for classifying perishability models based on multiple process features is presented. Second, it draws the community attention to the importance of managing perishability in many different industries’ supply chains by showing its relevance and by reviewing the literature related to production and distribution planning. Finally, it points towards research opportunities so far not addressed by the research community in this challenging field.
Journal Article
Multiobjective multistage distribution system planning using tabu search
This study presents a multiobjective tabu search algorithm to solve the multistage planning problem of a distribution system formulated as a multiobjective dynamic mixed integer non-linear programming problem. Multiobjective problems do not have a specific solution, but a set of solutions that allows us to observe the trade-off among the analysed objectives. Taking into account this concept, the objective functions of the model proposed in this study are: costs (investment and operational) and reliability. The actions deemed in this model for each period of the planning horizon are: increase in the capacity of existing substations (or construction of new ones), exchange of cables in existing lines (and construction of new feeders), reconfiguration of the network, allocation of sectionalising switches and construction of tie lines. The system's reliability is evaluated by means of the non-supplied energy under contingencies using the n − 1 criterion. By line switching and the use of tie lines, part of the loads affected by a contingency can be restored, thus, the non-supplied energy can be evaluated by solving a distribution network restoration problem. Numerical results are presented for a 54-bus system.
Journal Article
Planning and operation of LV distribution networks: a comprehensive review
The low-voltage (LV) distribution network is the last stage of the power network, which is connected directly to the end-user customers and supplies many dispersed small-scale loads. To achieve environmental targets and to address the energy shortage issue, governments worldwide increase the renewable energy sources (RESs) into the electricity grid. In addition, different types of low carbon technologies (LCTs) such as electric vehicles are becoming widely used. A significant portion of RES and LCTs is penetrated into the LV distribution network, which poses a wide range of challenges. To address these challenges, there is a persistent need to develop traditional planning and operation frameworks to cope with these new technologies. In this context, this study provides a comprehensive review of planning, operation, and management of LV distribution networks. The characteristics, types, and topologies of LV distribution networks plus different aspects of operation and planning are investigated. An insightful investigation of the reasons impacts and mitigation of voltage and current unbalanced in LV networks is provided. Moreover, the main three-phase power flow techniques used to analyse the LV networks are analysed.
Journal Article
GIS-Based Distribution System Planning for New PV Installations
Solar panel installations have increased significantly in Japan in recent decades. Due to this, world trends, such as clean/renewable energy, are being implemented in power systems all across Japan—particularly installations of photovoltaic (PV) panels in general households. In this work, solar power was estimated using solar radiation data from geographic information system (GIS) technology. The solar power estimation was applied to the actual distribution system model of the Jono area in Kitakyushu city, Japan. In this work, real power consumption data was applied to a real world distribution system model. We studied the impact of high installation rates of solar panels in Japanese residential areas. Additionally, we considered the voltage fluctuations in the distribution system model by assessing the impact of cloud shadows using a novel cloud movement simulation algorithm that uses real world GIS data. The simulation results revealed that the shadow from the cloud movement process directly impacted the solar power generation in residential areas, which caused voltage fluctuations of the overall distribution system. Thus, we advocate distribution system planning with a large number of solar panels.
Journal Article
Optimizing decentralized production-distribution planning problem in a multi-period supply chain network under uncertainty
Decentralized supply chain management is found to be significantly relevant in today's competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final product is appropriated with stochastic and fuzzy numbers. We provide mathematical formulation of the problem as a bi-level mixed integer linear programming model. Due to problem's convolution, a structure to solve is developed that incorporates a novel heuristic algorithm based on Kth-best algorithm, fuzzy approach and chance constraint approach. Ultimately, a numerical example is constructed and worked through to demonstrate applicability of the optimization model. A sensitivity analysis is also made.
Journal Article