Single facility siting involving allocation decisions

2014

This paper aims at systematising academic studies on facility management that have been published since 2006 in order to understand whether facility management, as a scientific discipline, has arrived at its mature stage; whether the strategic shift that is occurring in facility management practice has been grasped by academia to date; and what are the most challenging areas for future research. By reviewing 79 papers in depth, our results show that research in this area is still in its infancy, allowing scholars the possibility of really contributing to the advancement of the field.

Journal of Urban Planning and Development, 2009

Facilities, 2021

Purpose-The facility decision-making process (FDMP), as described in this paper, is a framework based on decades of proven effectiveness in analogous military applications. The purpose of this paper is to evaluate key factors which justify the need for the FDMP before describing the FDMP. Design/methodology/approach-This paper conducts a literature review as it relates to facilities specific decision-making, puts forward a new concept for those processes and provides an abridged case study of the concept in application. Findings-Facilities management is a key function for nearly every type of business or enterprise. As part of facilities management, many decisions are made about physical assets that a business or enterprise owns or maintains. Currently, there is no uniform decision-making framework, in literature or in practice, which enables consistency, robustness and scalability for facility management decisions. Such a framework would enable facility managers to effectively justify decisions related to capital and operational expenses. Practical implications-The FDMP provides a robust procedure for facilities managers and engineers that enables enhanced strength in the face of business enterprise scrutiny as compared with the often-intuitive decision-making processes currently used in practice. Originality/value-This novel conceptual process articulates the opportunity to provide for a comprehensive facilities decision-making process that enables better decisions especially as it relates to what are often ill-defined problem sets in facilities management.

Encyclopedia of Database Systems, 2009

Facility planning is a complex and broad subject, which concerns several engineering disciplines like civil, mechanical and industrial engineering. Also other than engineering disciplines it concerns architects, owners and managers of the production or service firms, and town council etc. Facility planning is subdivided into two main subjects as facility location and facility design. Facility location concerns of the location of the facility to be built considering the actual and potential customers, suppliers, competitors and other facilities and places. Facility design concerns with the efficient and effective replacement of every elements of the facility due to the objectives of the facility. This paper includes Location analysis of the project study about the construction and design of a bowling alley in Magusa in Cyprus, which is an island in Mediterranean Sea. Location problem have been analyzed considering the objective and subjective factors to select the best location from five alternatives.

Journal of Optimization Theory and Applications, 2013

In this paper a discrete location model for non-essential service facilities planning is described, which seeks the number, location, and size of facilities, that maximizes the total expected demand attracted by the facilities. It is assumed that the demand for service is sensitive to the distance from facilities and to their size. It is also assumed that facilities must satisfy a threshold level of demand (facilities are not economically viable below that level). A Mixed-Integer Nonlinear Programming (MINLP) model is proposed for this problem. A branch-and-bound algorithm is designed for solving this MINLP and its convergence to a global minimum is established. A finite procedure is also introduced to find a feasible solution for the MINLP that reduces the overall search in the binary tree generated by the branch-and-bound Communicated by P.M. Pardalos. J Optim Theory Appl algorithm. Some numerical results using a GAMS/MINOS implementation of the algorithm are reported to illustrate its efficacy and efficiency in practice.

BOHR Publishers, 2022

Facility location is an important problem faced by companies in many industries. Finding an optimal location for facilities and determining their size involves the consideration of many factors, including proximity to customers and suppliers, availability of skilled employees and support services, and cost-related factors, for example, construction or leasing costs, utility costs, taxes, availability of support services, and others. The demand of the surrounding region plays an important role in location decisions. A high population density may not necessarily cause a proportional demand for products or services. The demography of a region could dictate the demand for products, and this, in turn, affects a facility&rsquo;s size and location. The location of a company&rsquo;s competitors also affects the location of that company&rsquo;s facilities. Another important aspect in facility location modeling is that many models focus on current demand and do not adequately consider future demand. However, while making location decisions in an industry in decline, carefully and accurately considering future demand is especially important, and the question in focus is whether to shrink or close down certain facilities with the objective of keeping a certain market share or maximizing profit, especially in a competitive environment.<br /> This paper develops a model which enables companies to select sites for their businesses according to their strategy. The model analyzes the strategic position of the company and forms a guideline for the decision. It investigates which facilities should be closed, (re)opened, shrunk, or expanded. If facilities are to shrink or expand, the model also determines their new capacities. It depicts the impact on market share and accounts for the costs of closure and reopening. A number of papers deal with location theory and its applications, but few have been written for modeling a competitive environment in the case of declining demand. Existing papers in this area of research are mostly static in nature, do not offer multi-period approaches, nor do they incorporate the behavior of competitors in the market. To demonstrate the validity of the model, it is first solved using a small problem set &ndash; three facilities, three demand locations, and three periods &ndash; in LINGO solver. To get a better understanding of the model&rsquo;s behavior, several additional scenarios were constructed. First, the number of demand locations was extended to 10. Our findings show that the model presented provides an extension of existing facility location models that can be applied to a variety of location problems in commercial and industry sectors that need to make their decisions considering future periods and competitors. The developed heuristic shows multiple options for solving the problem, including their advantages and disadvantages, respectively. The Java code and LINGO fragments thus developed can be used to provide easy access to related problems.

Facilities, 2003

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Geographical Analysis, 2010

The lmplemen fafion of Con froversial Facility-Complex Programs* Traditional location theory has not explicitly treated the external social and economic effects of location decisions and the resulting repercussions on the locating organization. Such problems are particularly acute in the location of "noxious" facilities, such as sewage plants, incinerators, and urban highways. The location of such facilities may have negative impacts on the population in the immediate vicinity, leading to repercussions in the form of opposition by the group affected. More specifically, such opposition (or threat of opposition) may increase the total costs of implementing the given facility. A recent case in point was the impact of Columbia University's decision to construct a gym in Morningside Park. Although the decision was based on traditional comparative cost analysis the failure to consider potential opposition led to much higher costs than were anticipated. The objective of this paper is to examine the implications of such distributional effects in locational decisions.' A model is proposed to treat the possibility of locational opposition and to resolve such problems through the use of "facility packages." Moreover, this model is intended to provide not only a normative framework for implementing noxious facilities, but also to provide a descriptive tool for analyzing the location of existing noxious facilities. The General Problem The general class of problem considered in this paper concerns the location of a facility which is needed within a region, but is not neces

International journal of artificial intelligence research, 2023

This is an open access article under the CC-BY-SA license.

Industrial Engineering and Management Systems, 2013

People are living longer than ever before. As a result, life expectancy is going up and the demand of long-term care facilities is increasing in most countries. The facilities provide rehabilitative, restorative, and skilled nursing care to patients or residents in need of assistance with activities of daily living. This study deals with the capacitated location and allocation problem of long-term care facilities in a city that consists of a finite number of regions. Assuming that in each region candidate locations for three types of facilities are already given, two integer programming models are developed under the closest assignment rule reflecting the demand characteristics of the facilities. Both the location and type of the facilities to be built become decision variables. To show the validity of the models, numerical problems are solved with commercial software, CPLEX. Also, sensitivity studies were conducted to identify relationships between the system parameters.