Search results

1 – 10 of over 43000
To view the access options for this content please click here
Article
Publication date: 31 March 2008

Hsiao‐Chi Chen and Ya‐Wen Yu

The purpose of this paper is to focus on selection of a location which can widely influence business strategy planning and operation profit.

Downloads
2915

Abstract

Purpose

The purpose of this paper is to focus on selection of a location which can widely influence business strategy planning and operation profit.

Design/methodology/approach

In this paper, the relationship between location strategy and clustering is primarily shown by obtaining location decision criteria and the impact of high‐tech firms with the decision‐making trial and evaluation laboratory (DEMATEL) method. Then, analytic network process (ANP) method is used to explain the value and benefits from cluster location.

Findings

The authors study decision‐making for location selection of high‐tech firms in Hsinchu Science Park. The example is based on two dimensions including network effect and transaction cost. Network effect plays a more significant role than transaction cost for this example location selection of high‐tech firms in Hsinchu Science Park. The Science Park is surrounded by entrepreneurial spirit, a significant talent pool, and support infrastructure.

Originality/value

This paper explores how high‐tech managers make their decisions on location strategy in Science Park.

Research limitations/implications

The authors found that cost and benefit factors of network effect dominate the major decision‐making in selection of location and has direct impact on strategic intent. They also have shown that the DEMATEL and ANP approaches are valuable for evaluating this situation.

Details

Management Research News, vol. 31 no. 4
Type: Research Article
ISSN: 0140-9174

Keywords

To view the access options for this content please click here
Article
Publication date: 8 November 2011

Banu Tuğba Turğut, Gamze Taş, Ahmet Herekoğlu, Hakan Tozan and Ozalp Vayvay

The purpose of this paper is to propose a disaster logistics center location selection decision support system, based on analytic hierarchy/fuzzy analytic hierarchy…

Downloads
2067

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Disaster Prevention and Management: An International Journal, vol. 20 no. 5
Type: Research Article
ISSN: 0965-3562

Keywords

To view the access options for this content please click here
Article
Publication date: 1 October 2001

Barry Barovick and Chris Steele

Instead of reacting to requests for space, CRE executives should be included in any location selection decision‐making process in order to understand the drivers for the…

Downloads
1746

Abstract

Instead of reacting to requests for space, CRE executives should be included in any location selection decision‐making process in order to understand the drivers for the action, and to ensure that the real estate solution prpoerly serves the business need. A comprehensive site selection process is one which works from the strategic goals of the company through identifying the business need for the new or consolidated operation, through the tactical tasks of identifying appropriate candidate areas, evaluating those areas, determining the fiscal impact of the move, and on through the implementation of any resulting action.

Details

Journal of Corporate Real Estate, vol. 3 no. 4
Type: Research Article
ISSN: 1463-001X

Keywords

To view the access options for this content please click here
Article
Publication date: 10 July 2020

Hafize Yılmaz and Özgür Kabak

Locating disaster response centers is one of the key elements of efficient relief operations. The location and infrastructure of the candidate facilities usually conform…

Abstract

Purpose

Locating disaster response centers is one of the key elements of efficient relief operations. The location and infrastructure of the candidate facilities usually conform to the required criteria at different levels. This study aims to identify the criteria for the main and local distribution center location problem separately and prioritize each candidate distribution center using a hybrid multiple criteria decision-making approach.

Design/methodology/approach

The proposed model incorporates analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) under interval type-2 fuzzy sets (IT2FSs) to overcome the uncertainty of experts` judgments and expressions in the evaluations of candidate distribution centers. In the proposed approach, weights of the criteria are determined using type-2 fuzzy AHP and the candidate distribution centers are prioritized using type-2 fuzzy TOPSIS.

Findings

Transportation, cost, infrastructure and security are determined as the main criteria for the main distribution center location criteria. Cost, warehouse facilities and security are the main criteria for local distribution center location selection. Prioritization enables decision-makers to assess each alternative accordingly to be able to select the best locations/facilities for efficient disaster response operations.

Originality/value

This study proposes new multi-criteria decision support models for prioritizing disaster response distribution centers. IT2FSs are used to be able to reflect both the complexity and vagueness of disaster environment and expert opinions. Different support models are suggested for main and local distribution centers considering their different missions. The proposed methodology is applied in Istanbul city, Turkey, where a high-magnitude earthquake is expected.

Details

Journal of Enterprise Information Management, vol. 33 no. 5
Type: Research Article
ISSN: 1741-0398

Keywords

To view the access options for this content please click here
Article
Publication date: 21 January 2020

Emanuel Fernando Samasseca Zeferino, Khumbulani Mpofu, Olasumbo Ayodeji Makinde, Boitumelo Innocent Ramatsetse and Ilesanmi Afolabi Daniyan

The determination of the appropriate site for the location of a research institute represents a multi-criteria problem which requires a scientific approach for…

Abstract

Purpose

The determination of the appropriate site for the location of a research institute represents a multi-criteria problem which requires a scientific approach for decision-making. The research centre in this study is an institute that intends to carry out the state-of-the-art research activities and provide the requisite skills to expedite and optimize the manufacturing of rail cars in South Africa. Hence, the selection of a suitable and conducive location capable of achieving these aforementioned objectives in an effective manner is a problem which requires scientific justification for the allocation of the weights and biases. In light of this, using various decision techniques, this paper aims to establish a suitable framework for the location selection of the research institute which is capable of meeting the short- and long-term objectives of the institute.

Design/methodology/approach

This aim was achieved by ascertaining the suitability of potential location alternatives using the factor rating (FR) and centre of gravity (CoG) technique.

Findings

The CoG revealed that any location within the longitude of 28.28 and latitude of −25.75 (with a Cartesian coordinate position of 5053.62; 2718.69) is suitable for the research institute, while the result of the FR/weighted score matrix revealed that location J3 with a weighted score of 72.6% is the most suitable location for the research institute with the longitude of 5053.62 and latitude of 2718.69.

Practical implications

The results of this paper helped decision-makers in locating the given research institute which is currently operational.

Originality/value

The present study is focussed on the application of location decision techniques in the research institute scenario. The combination of FR and CoG techniques for the selection of the most suitable location for a research institute amidst conflicting criteria has not been widely reported by the existing literature.

Details

Journal of Facilities Management , vol. 18 no. 1
Type: Research Article
ISSN: 1472-5967

Keywords

To view the access options for this content please click here
Article
Publication date: 26 September 2008

Linda Boardman Liu, Paul Berger, Amy Zeng and Arthur Gerstenfeld

The purpose of this paper is to show that there is a wealth of academic literature that qualitatively examines the outsourcing and offshoring from a go/no go perspective…

Downloads
3949

Abstract

Purpose

The purpose of this paper is to show that there is a wealth of academic literature that qualitatively examines the outsourcing and offshoring from a go/no go perspective. The paper examines the complex “where to outsource” question by applying a quantitative approach called Analytic Hierarchy Process (AHP).

Design/methodology/approach

The authors examine a Fortune 500 company's real‐world decision about where to outsource and summarize the current selection process employed by the company. We then apply our AHP model to the company's decision and compare the results.

Findings

There are four major findings: the location selection decision is a component of the outsource supplier selection decision; the AHP model effectively manages the complexity of the decision making process, incorporating all decision criteria harmoniously; a method such as AHP, which is able to incorporate both qualitative and quantitative criteria into evaluations, would streamline the decision‐making process; and the AHP process allows firms to look at a portfolio of choices and determine which firms are basically equal in qualifications.

Research limitations/implications

The research implies that: (AHP may be more applicable in these areas by providing a rigorous framework for assessment of qualitative and quantitative factors together; and AHP offers substantial flexibility to accommodate the variety and quantity of decision criteria set forth by the firm.

Practical implications

As firms are more active in pursuing opportunities in global markets, identifying the right offshoring location is critical. The selection process is complex, involving a set of qualitative and quantitative factors and requiring rigorous and careful analysis. Therefore, a scientific method that not only offers flexibility and simplicity, but also simultaneously accommodates a wide variety of decision criteria is invaluable. The research demonstrates that AHP provides these benefits and is an effective technique for analyzing the where‐to‐outsource decision.

Originality/value

The extensive literature review suggests that the majority of the existing works focus on analyzing the go/no‐go decision using a qualitative approach. This paper applies the AHP method to the “where to outsource” question to demonstrate one quantitative approach to this complex decision. Additionally, the paper provides a detailed description of how the AHP method is implemented in analyzing the decision by using a Fortune 500 company's data and information as an example.

Details

Supply Chain Management: An International Journal, vol. 13 no. 6
Type: Research Article
ISSN: 1359-8546

Keywords

To view the access options for this content please click here
Article
Publication date: 1 June 2005

Eddie W.L. Cheng, Heng Li and Ling Yu

This paper presents the employment of the analytic network process (ANP) to select the best site for a shopping mall. ANP is an innovative and robust multicriteria…

Downloads
3204

Abstract

This paper presents the employment of the analytic network process (ANP) to select the best site for a shopping mall. ANP is an innovative and robust multicriteria decision‐making (MCDM) method because it can produce a comprehensive analytic framework for solving societal, governmental, and corporate decision problems. Yet, there is a lack of published papers in the construction field demonstrating the method with illustrative examples. In the current paper, it is suggested that ANP is appropriate for shopping mall location selection. An example is therefore demonstrated. In order to explicate the difference between ANP and analytic hierarchy process (AHP), the findings obtained from the two methods are compared. Results of the comparison indicate that ANP is a powerful tool to solve the decision problem if interdependent relationships have substantial impacts in the decision model.

Details

Construction Innovation, vol. 5 no. 2
Type: Research Article
ISSN: 1471-4175

Keywords

To view the access options for this content please click here
Article
Publication date: 8 October 2021

Mehmet Pekkaya and Nuh Keleş

Considering the contribution of freight villages (FVs) to the economy and sector, transportation cost advantage, environmental externalities, labor costs, employment, etc…

Abstract

Purpose

Considering the contribution of freight villages (FVs) to the economy and sector, transportation cost advantage, environmental externalities, labor costs, employment, etc. criteria evaluation is important in selecting FV location. Environmental sustainability and social dimensions are becoming important criteria for companies in logistics. The purpose of the study is to determine/model the criteria interaction and also determine the criteria priorities in the FV location selection process. Meanwhile, the study aims to evaluate these criteria and present information to researchers and decision makers.

Design/methodology/approach

Six main criteria and 29 sub-criteria are selected from related literature. Decision making trial and evaluation laboratory (DEMATEL) method is used for determining/modeling the criteria interaction and sketching interaction diagram, and the Analytical Hierarchy Process (AHP) method is used for determining the criteria priorities. One/two-way pairwise compared main/sub-criteria views are obtained from 48 experts for calculations.

Findings

“Trade potential”, “transportation networks” and “economic factors” have the highest priorities, respectively, out of six main criteria, and they have the most powerful interactions that put these criteria to the center of decision process. Sub-criteria of “foreign trade potential”, “proximity to the port”, “market opportunities” and “proximity to the railway” out of 29 have a total 36.42% priority, more than one-third of the importance.

Originality/value

Criteria are evaluated in FV location selection for FV sustainability using criteria interaction diagrams, affecting/being affected by the level of each criterion and their priorities. This study shows a hybrid derivation from DEMATEL-AHP usage methods together. High-volumed and qualified/experienced expert group judgments in Turkey are evaluated.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

To view the access options for this content please click here
Article
Publication date: 22 September 2021

Salman Tariq, Mohamed Hussein, Roy Dong Wang and Tarek Zayed

This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for…

Abstract

Purpose

This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for modular integrated construction (MiC).

Design/methodology/approach

Through a rigorous systematic mixed-review methodology that integrates bibliometric, scientometric and qualitative analysis, this study explored the crane layout research trend; the scientometric analysis of journal sources and keywords occurrence network; the research contributions and links between influential countries; the classification of research articles based on the type of problems and solution approaches; the qualitative analysis of existing findings and research gaps; and the future research direction for CLP in MiC.

Findings

This study found five categories under the CLP domain, namely, crane selection, crane location, integrated crane selection and location, integrated crane location and allocation of supply points and hybrid problems. The major research approaches used to solve CLP is optimization (43%), visualization (23%), decision support systems (16%), simulation (11%) and qualitative techniques (7%). The possible future research directions include artificial intelligence-based models, multi-crane locations, CLP for MiC re-use, dynamic models representing real-life scenarios and building information modeling-based virtual reality models.

Originality/value

Through a mixed-review methodology, this study provides a comprehensive analysis of problem settings and solution methods of CLP while mitigating the subjectivity of traditional review methods. Also, it presents a repertoire on CLP and illuminates future directions for seasoned researchers in the context of MiC.

Content available
Article
Publication date: 12 November 2020

Jyotdeep Singh, Parnika Tyagi, Girish Kumar and Saurabh Agrawal

The objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic…

Abstract

Purpose

The objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic considerations, competition and so on to select the most optimal retail convenience store location.

Design/methodology/approach

A case of National Capital Region, India, for a 24-h convenience store was considered for the study and the major criteria that affect the performance of a convenience store are identified, such as population characteristics, economic criteria, competition, consumer accessibility, store size, total cost, site attractiveness and security. Fuzzy AHP is utilized to find the weightage for each criteria and a combination of fuzzy TOPSIS and grey relational analysis (GRA) is applied to rank the alternative using these criteria weight. Further, results obtained are compared with results from fuzzy TOPSIS and fuzzy VIKOR methods. Sensitivity analysis is also performed for ensuring the robustness of the framework.

Findings

It is observed that outcomes do not change under various settling coefficient values, demonstrating that the methodology is very robust. The developed framework will be quite useful to diverse retailers looking to expand and generate substantial profits.

Research limitations/implications

A large sample size of number of locations encourages generalization of results. Strategic ranking of the selected locations is carried out on a few selected criteria. The study was limited by the designated geographical area.

Originality/value

The study contributes to the few available articles on convenience store selection using combination of fuzzy AHP, fuzzy TOPSIS and GRA for a developing country.

Details

Modern Supply Chain Research and Applications, vol. 2 no. 4
Type: Research Article
ISSN: 2631-3871

Keywords

1 – 10 of over 43000