A decision aid in warehouse site selection

Korpela, Jukka; Tuominen, Markku

doi:10.1016/0925-5273(95)00135-2

Cited by 107 publications

(54 citation statements)

References 7 publications

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“…This method efficiently grasps the ambiguity existing in available information as well as the essential fuzziness in human judgment and preference, and it always produced satisfactory results for all the cases examined in terms of rationality and discriminatory ability. Korpela and Tuominen make an attempt to apply an integrated approach to support the decision of selecting the location of the warehouse where both tangible and intangible criteria can be taken into account by using an analytic hierarchy process-based decision aid [18]. The proposed approach to the warehouse site selection process enables decision makers to base the final choice on the overall cost/service-effectiveness of the potential warehouses.…”

Section: Warehouse Location Problemmentioning

confidence: 99%

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A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

Feng

et al. 2017

Mathematical Problems in Engineering

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China is one of the disaster-prone countries in the world. Constructing a rapid and effective relief logistic system is important for disaster-responding at country level. Strategic prepositioning of emergency items, especially the decision of appropriate emergency warehouses location, has significant impacts on rapid disaster response to ensure sufficient relief supplies. The emergency warehouse location decision is a complex problem, where a wide variety of criteria need to be considered and the preference information of decision makers (DMs) may be imprecise or even absent. In this paper, we identify key effectiveness-oriented criteria used to evaluate the alternative emergency warehouse locations and make an attempt to propose a new multicriteria ranking method to solve the problem of inaccurate or uncertain weight information based on stochastic pairwise dominant relations and the pruning procedure of ELECTRE-II method. The proposed method extends the conventional ELECTRE-II method by incorporating inaccurate information and broadens its application to emergency warehouse location field. The feasibility and applicability of the proposed method are illustrated with a simulated example.

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Section: Warehouse Location Problemmentioning

confidence: 99%

“…After analyzing the literature ( [7,15,16,18], etc. ), certain variations of relative factors taken into consideration in the evaluation are identified, such as start-up cost, traffic condition, capacity, and climate.…”

Section: Determining the Criteriamentioning

confidence: 99%

A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

Feng

et al. 2017

Mathematical Problems in Engineering

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“…Korpelaa & Tuominen [6] point out the many methods that deal with warehouse location selection merely from a cost point of view. In their study they introduce an integrated approach to the site selection process, where both qualitative and quantitative aspects can be taken into account by using an analytic hierarchy process-based decision aid.…”

Section: Review Of the Literature Related To Selecting A Warehouse Lomentioning

confidence: 99%

Identifying Warehouse Location Using Hierarchical Clustering

Škerlič¹,

Muha²

2017

Transport Problems

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Summary. Identifying the optimal warehouse location involves a series of qualitative and quantitative factors. The purpose of this study was to use hierarchical clustering to identify the optimal location for a warehouse, which would ensure the lowest cost, a high level of quality in supplying customers and connect the selling and purchasing activities of the businesses operating in the Slovenian automotive industry into a system. The study also aims to demonstrate the applicability of the selected method for identifying warehouse locations in more demanding cases because the very process of identifying a location is dependent upon a company's logistic strategy. The advantage of the method used in this study is that it enables the user to use a combination of the data that is the most important for a company in a given period as well as consistent with the company's chosen business strategy. WYBÓR LOKALIZACJI MAGAZYNU Z WYKORZYSTANIEM METODY GRUPOWANIA HIERARCHICZNEGOStreszczenie. Wybór optymalnej lokalizacji magazynu jest zależny od różnych czynników jakościowych i ilościowych. Wykorzystując metodę grupowania hierarchicznego, chcieliśmy określić optymalną lokalizację magazynu, która gwarantuje najniższe koszty, wysokiej jakości obsługę klientów i łączy w spójny system sprzedażową i nabywczą działalność przedsiębiorstw w słoweńskim przemyśle motoryzacyjnym. W badaniu chcieliśmy również udowodnić, że wybrana metoda ma zastosowanie przy wyborze bardziej wymagającego miejsca magazynowania, ponieważ sam proces wyboru lokalizacji jest podporządkowany strategii logistycznej danego przedsiębiorstwa. Zaletą wykorzystanej metody jest to, że umożliwia ona zastosowanie kombinacji tych danych, które w danym okresie są dla przedsiębiorstwa najważniejsze oraz zgodne z wybraną strategią.

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“…In the literature, AHP method has been applied to different fields such as strategic planning (Arbel and Orger, 1990), evaluation of advanced construction technology (Skibniewski and Chao, 1992), warehouse site selection (Korpela and Tuominen, 1996), strategic investment analysis (Angels and Lee, 1996), facility location selection (Yang and Lee, 1997), project management (Al Harbi, 2001), software selection (Lai et al, 2002;Karaarslan and Gundogar, 2009), managing risk in supplay chain (Gaudenzi and Borghesi, 2006), selection process for a project variant (Cabała, 2010), supplier selection (Bruno et al, 2012), inventory classification (Lolli et al, 2014), energy management (Jovanovic´ et al, 2015), identifying the factors affecting on labor productivity of construction projects (Sherekar and Tatikonda, 2016), risk evaualtion (Zeng and Xu, 2017), assessing renewable energy sources (Nasirov et al, 2017). In addition, AHP method has been also used in the literature to determine the weights of the criteria in MCDM problems.…”

Section: Analytic Hierarch Processmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Making Approach for Tablet Computer Selection

Kundakcı¹

2017

Europ. j. multidiscip. stud.

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Today, educational institutions follow modern technology and use technological products such as smart board and tablet computer widely as education tools owing to the rapidly developing technology. The lessons supported by these technologies, make learning more effective by influencing student motivation positively. In that scope, the discussed developing technology and its innovative tools will help to improve the quality of education in the long term and contribute to the development of the different skills of the students. In this study, tablet computer selection problem of a high school located in Denizli, Turkey will be analyzed deeply. That determined high school decided to use tablet computers in the lessons as an education tool and the school management aimed to select the most suitable tablet computer to give their students. In this context, tablet computer alternatives have been assessed by an integrated approach based on the combined use of two MCDM (Multi Criteria Decision Making) methods; AHP (Analytic Hierarchy Process) and OCRA (Operational Competitiveness RAting). The weights of the criteria were determined with AHP method, then OCRA method was used to rank tablet computer alternatives. The school management has been guided in the selection process of the most suitable tablet computer for their students. They found the search results satisfactory and decided to buy the selected tablet computer by the integrated MCDM method proposed in this study.

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A decision aid in warehouse site selection

Cited by 107 publications

References 7 publications

A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

Identifying Warehouse Location Using Hierarchical Clustering

An Integrated Multi-Criteria Decision Making Approach for Tablet Computer Selection

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