New AHP-based approaches for multi-criteria inventory classification

Lolli, Francesco; Ishizaka, Alessio; Gamberini, Rita

doi:10.1016/j.ijpe.2014.05.015

Cited by 128 publications

(87 citation statements)

References 35 publications

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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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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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“…Th ough the model is simple enough to run without advanced software, it has the flexibility to add and change constraints and factors as needed. Similar attempts to multi-criteria inventory classification (MCIC) include (Bacchetti et al 2013, Hatefi et al 2014, Lolli et al 2014, Millstein et al 2014, Park et al 2014, Roda et al 2014, Soylu and Akyol 2014, Babai et al 2015.…”

Section: Literature Reviewmentioning

confidence: 99%

Applying inventory classification to a large inventory management system

May

Atkinson

Ferrer

2017

JOSCM

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Inventory classification aims to ensure that business-driving inventory items are efficiently managed in spite of constrained resources. There are numerous single-and multiple-criteria approaches to it. Our objective is to improve resource allocation to focus on items that can lead to high equipment availability. This concern is typical of many service industries such as military logistics, airlines, amusement parks and public works. Our study tests several inventory prioritization techniques and finds that a modified multi-criterion weighted non-linear optimization (WNO) technique is a powerful approach for classifying inventory, outperforming traditional techniques of inventory prioritization such as ABC analysis in a variety of performance objectives.

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“…Then, the combined weights are used in the evaluation of credit capacity, which can consider both subjective and objective factors. The results show that the proposed method is reasonable [1,2].…”

Section: Introductionmentioning

confidence: 95%

Research on Assessment of Electric Power Company’s Credit Capacity Based on AHP and Entropy Weight

Lin¹,

Zhao²,

Li³

2015

Advances in Computer Science Research

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Abstract. Evaluating the credit capacity of electric power enterprises not only need to reflect the value of the index information conveyed, but also consider the analyst's subjective judgment. This paper combined the weights which respectively reflect the information of these two parts. Distance integrated evaluation method is also used in this paper to calculate the evaluation results, which can make the decision more consistent with the practical decision process. A specific example demonstrates the proposed method is practical, feasible and effective.

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New AHP-based approaches for multi-criteria inventory classification

Cited by 128 publications

References 35 publications

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

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

Applying inventory classification to a large inventory management system

Research on Assessment of Electric Power Company’s Credit Capacity Based on AHP and Entropy Weight

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