67,276 research outputs found

    A joint replenishment competitive location problem

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    Competitive Location Models seek the positions which maximize the market captured by an entrant firm from previously positioned competitors. Nevertheless, strategic location decisions may have a significant impact on inventory and shipment costs in the future affecting the firm’s competitive advantages. In this work we describe a model for the joint replenishment competitive location problem which considers both market capture and replenishment costs in order to choose the firm’s locations. We also present an metaherusitic method to solve it based on the Viswanathan’s (1996) algorithm to solve the Replenishment Problem and an Iterative Local Search Procedure to solve the Location Problem.N/

    Incorporating waiting time in competitive location models: Formulations and heuristics

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    In this paper we propose a metaheuristic to solve a new version of the Maximum Capture Problem. In the original MCP, market capture is obtained by lower traveling distances or lower traveling time, in this new version not only the traveling time but also the waiting time will affect the market share. This problem is hard to solve using standard optimization techniques. Metaheuristics are shown to offer accurate results within acceptable computing times.Market capture, queuing, ant colony optimization

    Location models in the public sector

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    The past four decades have witnessed an explosive growth in the field of networkbased facility location modeling. This is not at all surprising since location policy is one of the most profitable areas of applied systems analysis in regional science and ample theoretical and applied challenges are offered. Location-allocation models seek the location of facilities and/or services (e.g., schools, hospitals, and warehouses) so as to optimize one or several objectives generally related to the efficiency of the system or to the allocation of resources. This paper concerns the location of facilities or services in discrete space or networks, that are related to the public sector, such as emergency services (ambulances, fire stations, and police units), school systems and postal facilities. The paper is structured as follows: first, we will focus on public facility location models that use some type of coverage criterion, with special emphasis in emergency services. The second section will examine models based on the P-Median problem and some of the issues faced by planners when implementing this formulation in real world locational decisions. Finally, the last section will examine new trends in public sector facility location modeling.Location analysis, public facilities, covering models

    Designing the Last Mile of the Supply Chain in Africa: Firm Expansion and Managerial Inferences from a Grocer Model of Location Decisions

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    The recent interest in the expansion of retail food chains and the perceived problems resulting from competition between these new, sophisticated supply chains and the most basic of food distribution networks in emerging economies have been greatly debated in the literature. This paper is a seminal approach to examining South-South food firm (grocer) foreign direct investment by incorporating data on the informal market into a facility location decision model. There are unique environmental complexities that developing/transitioning economies present. The unique finding of this model is that informal employment patterns, in both Agricultural and non-Agricultural sectors, influence the firm’s location. Given the absence of data, South-South foreign direct investment managers perceive avid market transactions as indicators of demand and potential supply availability in formal and informal sectors. For example, Pick n’ Pay’s CEO stated recently that their growth in the Southern Africa supermarket business is a direct result of the informal market converting to the formal market.Supply Chain, Africa, Informal Markets, Facility Location Model, Demand and Price Analysis, Marketing, Q10,

    p-facility Huff location problem on networks

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    The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market share. While it has been deeply studied in the field of continuous location, in this paper we study the p-facility Huff location problem on networks formulated as a Mixed Integer Nonlinear Programming problem that can be solved by a branch-and-bound algorithm. We propose two approaches for the initialization and division of subproblems, the first one based on the straightforward idea of enumerating every possible combination of p edges of the network as possible locations, and the second one defining sophisticated data structures that exploit the structure of the combinatorial and continuous part of the problem. Bounding rules are designed using DC (difference of convex) and Interval Analysis tools. In our computational study we compare the two approaches on a battery of 21 networks and show that both of them can handle problems for p ≤ 4 in reasonable computing time.Ministerio de Economía y CompetitividadJunta de AndalucíaHungarian National Research, Development and Innovation OfficeInformation and Communication Technologies COS

    A new chance-constrained maximum capture location problem

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    The paper presents a new model based on the basic Maximum Capture model, MAXCAP. The New Chance–Constrained Maximum Capture modelintroduces a stochastic threshold constraint, which recognises the fact that a facility can be open only if a minimum level of demand is captured. A metaheuristic based on MAX–MIN ANT system and TABU search procedure is presented to solve the model. This is the first time that the MAX–MIN ANT system is adapted to solve a location problem. Computational experience and an application to 55–node network are also presented.Stochastic location, capture models

    Separation of Church and School: Guidance for Public Charter Schools Using Religious Facilities

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    Public charter school leaders and advocates are dedicated to growing the number of high-quality public charter schools available to all families, especially those in communities where there are very few opportunities to attend a high-quality public school. To realize the promise that public charter school expansion can bring, public charter schools need reasonable access to facilities in every community.This is a guidebook to help public charter school leaders -- and the advocates, attorneys, and others who support them -- navigate the increasingly complicated legal landscape surrounding public charter school use of a facility owned or operated by a religious organization. By presenting an analysis of the legal standards that govern application of the Establishment Clause and offering practical advice on how to ensure compliance with the it when a public charter school decides to locate in a religious-owned facility, this guidebook will help charter school leaders protect their access to an important facilities option and foster continued public charter school growth
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