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A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule

机译:一种离散的竞争性设施位置模型,具有最小的市场份额限制和基于股权的关系突破规则

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摘要

We consider a geographical region with spatially separated customers, whose demand is currently served by some pre-existing facilities owned by different firms. An entering firm wants to compete for this market locating some new facilities. Trying to guarantee a future satisfactory captured demand for each new facility, the firm imposes a constraint over its possible locations (a finite set of candidates): a new facility will be opened only if a minimal market share is captured in the short-term. To check that, it is necessary to know the exact captured demand by each new facility. It is supposed that customers follow the partially binary choice rule to satisfy its demand. If there are several new facilities with maximal attraction for a customer, we consider that the proportion of demand captured by the entering firm will be equally distributed among such facilities (equity-based rule). This ties breaking rule involves that we will deal with a nonlinear constrained discrete competitive facility location problem. Moreover, minimal attraction conditions for customers and distances approximated by intervals have been incorporated to deal with a more realistic model. To solve this nonlinear model, we first linearize the model, which allows to solve small size problems because of its complexity, and then, for bigger size problems, a heuristic algorithm is proposed, which could also be used to solve other constrained problems.
机译:我们考虑一个地理区域,具有空间分开的客户,其需求目前由不同公司拥有的一些预先存在的设施。一家进入公司希望竞争这个市场,找到一些新设施。试图保证对每个新设施的未来令人满意的捕获需求,公司对其可能的位置(一组有限的候选人)施加了约束:只有在短期内捕获最小的市场份额时,才会开放新设施。要检查,有必要了解每个新设施的确切捕获的需求。它应该遵循部分二元选择规则来满足其需求。如果客户有几种具有最大吸引力的新设施,我们认为进入公司捕获的需求比例将在此类设施(基于股票的规则)之间同样分配。这种关系破坏规则涉及我们将处理非线性受限的离散竞争性设施位置问题。此外,已经纳入了近距离近似的客户和距离的最小吸引力条件,以处理更现实的模型。为了解决这个非线性模型,我们首先将模型线性化,这允许由于其复杂性解决小尺寸问题,然后,对于更大的尺寸问题,提出了一种启发式算法,这也可以用于解决其他受限制的问题。

著录项

  • 来源
    《Informatica》 |2020年第2期|205-224|共20页
  • 作者单位

    Department of Statistics and Operations Research University of Murcia Spain;

    Institute of Data Science and Digital Technologies Vilnius University Lithuania;

    Department of Statistics and Operations Research University of Murcia Spain;

    Institute of Data Science and Digital Technologies Vilnius University Lithuania;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    location; competitive model; heuristic algorithms;

    机译:地点;竞争模式;启发式算法;

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