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As in line with eco benchmarking, the purpose of this paper is to solve a location selection problem in an emerging country by applying sustainability benchmarking principles.

A hybrid multi-criteria decision-making method, fuzzy AHP and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), is used as methodology to make sustainability benchmarking for logistics center location selection.

It is revealed that according to AHP and PROMETHEE calculations, Kemalpasa is determined as the most appropriate location from the sustainable perspectives. Torbali is specified as the worst location to construct a logistics center in terms of benchmarking criteria based on sustainability concerns. Based on these numerical results, managerial implications are presented with a sustainability benchmarking view.

The main originality of this study is integrating one of the relatively new topics, sustainability benchmarking, with a popular area, logistics center location selection.

The purpose of this paper is to propose a disaster logistics center location selection decision support system, based on analytic hierarchy/fuzzy analytic hierarchy process methods, which will serve to fulfill the needs of disaster victims and rescue teams after a possible earthquake, and to implement the proposed systems for Istanbul.

Determining the appropriate location from among the possibilities by taking many sophisticated and inter‐related processes and parameters into consideration under stringent constraints is one of the keystones of logistics. Disaster logistics center location selections are extremely complex and vital. In this paper, analytic hierarchy/fuzzy analytic hierarchy process methods are used to compose a decision support system for determining the location of disaster logistics centers. The criteria and the weighting for the criteria that are used are determined via a questionnaire technique applied to specialists working in the Istanbul Center of Disaster Coordination.

Results gathered from the implementation of the proposed models to the chosen case illustrate that systems successfully determine the location, and both models point out the same result with different weights.

The paper introduces two disaster logistics center location selection decision support systems (fuzzy and crisp) and presents an empirical case study of the proposed models for Istanbul. The proposed model and outcomes from the application may shed light on future work, especially in the field of disaster logistics management.

Materials supply is one of the important elements in construction operation and a major factor affecting the quality of construction projects. Many industries look to manage materials effectively by attempting to integrate logistics processes into logistics chains of suppliers and customers. Logistics processes, being crucial for successful completion of construction projects, but in fact, auxiliary, are often entrusted to external professionals specialised in logistic services, such as logistics centres. However, this tendency is yet to be developed in construction. The purpose of this paper is to develop a simulation framework for the examination of potential improvements of logistics performance using logistics centres.

A case study approach was adopted with computer simulation using Flexsim. Data of vehicle movements were collected during construction on-site from the start of construction to “hand-over” to the building owner.

The ideal location of a logistics centre is identified using vehicle movements data collected on the site. The potential improvements of the planned centre are then evaluated by simulating various scenarios of vehicle movements. The enclosed results from the simulations indicate that using a logistics centre will reduce waste for the construction project considered.

The paper emphasises that creating a logistics centre for a project can improve construction logistics performance, by consolidating and optimizing both off-site and on-site logistics, especially when the site condition is prohibitive (small footprint with limited loading bay area). Establishing logistics centres may help find ways of making the overall construction project more effective by improving the management of materials.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

Although the supply chain (SC) competition concept has emerged during the past decade as the way firms will compete in future, there is scant academic research on actual mechanisms through which such competition can occur. The purpose of this paper is to proposes interaction as the means by which competition between supply chains may be undertaken.

The paper investigates a Swedish logistics center via case study methodology to develop the idea of interaction for SC vs SC competition.

Results suggest that interaction points along organizations ' supply chains may present enough breadth to assume a role in determining how SC vs SC competition may be played out in reality.

Interaction, as proposed here, implies an emphasis on all points at which supply chains meet to request goods and services, including various points where such supply chains converge, e.g. service providers, original equipment manufacturers, etc.

Most studies dealing with competition between supply chains fall short of exploring the link between theory and corresponding practice of this evolving competition mode. Such a link is provided with the use of logistics centers.

As a crucial element of city planning, an adequately planned logistics center for agricultural products can improve the circulation efficiency of agricultural products, thereby contributing to a convenient lifestyle of urban residents. First, this study analyzed the functional zones of urban green logistics centers for agricultural products based on low-carbon idea. A method was also proposed to calculate the area of each functional zone. Moreover, this study proposed a layout planning innovation method of urban green logistics centers for agricultural products based on logistics motion line analysis and logistics intensity calculation. Lastly, this study analyzed the application processes of the layout planning methodology according to the topographical conditions of Huai’an logistics center project case in China. Results of the case study show that the construction innovation method proposed in this study is scientific, reasonable, and practical. The construction innovation method can be also used for the planning and designing of similar urban logistics centers.

The study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020.

The paper proposes a fuzzy best–worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations.

It is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined.

This study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.

The purpose of the study is the evaluation of choosing the determined logistics centers’ (LCs’) locations via Multi-Criteria Decision-Making (MCDM) methods.

Since there is more than one criterion in the evaluation of LC location, MCDM methods are used. The Entropy and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods are used to determine the main criteria and sub-criteria weights. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method is used for ranking and evaluating 12 alternatives in Turkey and sensitivity analysis according to the threshold values of criteria and preference functions.

Possible LC alternatives in Turkey and 12 locations ranked. Changing the criteria weights at a significant level did not affect the ranking results much. In the sensitivity analysis of the criteria for which market data could not be obtained (scored by the experts) it is found that they either made no difference or made little difference in the ranking of the alternatives.

In terms of sustainability, economic factors along with environmental and social dimensions are important criteria for logistics companies and LC. The use of these variables in the LC location selection makes a difference.

This study focuses on LC location selection, via PROMETHEE with evaluated preference functions for criteria, taking into account nine scenarios that use variable criteria weight calculated via different MCDM methods. The results are evaluated by using sensitivity analysis and taking into account the sustainability aspect for LC. Multiple methods have been used effectively together in a way that support each other.

Purpose – The aim of the chapter is to explore the link between logistics and territory, particularly at local scale with ‘freight villages’. This topic is a matter for transport economics and management as well as for urban and regional planning.

Methodology – The methodology of this research relies on the exploitation of existing limited literature and on a practical field experience, using contact with professionals as well as with local authorities, comparing logistics regional planning in China and France. The process of conception, building and operation of logistics premises and areas is analysed, identifying the private and public actors who take part to it, and the rationales guiding their actions.

Results and perspectives – The necessity to insert logistics into its spatial environment obeys evolving concerns: in an initial phase, the aim is mere quantitative growth of production, trade and freight; today, logistics facilities must contribute to the search for sustainable development. The exchange of experience and of best practices, linked with academic observation, feeds the continuation of research on this seldom-addressed topic.

The purpose of this paper is to examine the relationship between logistics park platforms, logistics location and operational performance. Relationship analysis helps managers respond to the changes that today’s logistics companies face, which include limited resources and facilities, market uncertainties and financial instabilities.

A structured questionnaire is developed based on the resource-based view. Qualitative data collected from 273 companies in China are used in a structural equation model to test the conceptual model.

In logistics parks, logistics park platforms and location positively influence companies’ resource integration, which is positively related to operational performance. While logistics park platforms can improve operational performance directly, logistics location cannot. Resource integration is thus a full mediator between logistics location and operational performance, while it is a partial mediator between logistics park platforms and operational performance.

This study fills a gap in the literature on logistics parks, particularly on the relationships among operational performance, resource integration, logistics park platforms and the location of logistics parks in China. The authors provide guidelines for logistics park managers to organize their resources and develop capabilities for improving the operational performance of companies in logistics parks.