On the inventory performance of multi-criteria classification methods: empirical investigation

Babaï, Mohamed Zied; Ladhari, Talel; Lajili, Imen

doi:10.1080/00207543.2014.952791

Cited by 48 publications

(33 citation statements)

References 23 publications

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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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Section: Literature Reviewmentioning

confidence: 99%

Applying inventory classification to a large inventory management system

May

Atkinson

Ferrer

2017

JOSCM

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“…Additionally, high inventory may also lower the performance of the firm due to inherent costs related to inventory keeping such as security cost, depreciation and rent. Empirical studies by [3] and [4] show that there is a negative relationship between inventory holding period and firms' performance. The scale of the impact of IHP differs in small and medium SMEs leading to the following hypothesis, when non-linear relationship is accounted for;…”

Section: Inventory Holding Periodmentioning

confidence: 99%

Trends in working capital management and its impact on firms’ performance – An analysis of SMEs

Xiao-ting¹,

Chen²,

Yu³

2017

Research on Modern Higher Education

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This paper aims to explore the relationship between the performance of small and medium enterprises (SMEs) and working capital management. To make the research robust, accounting performance and measures of market related performance have been used to gauge the SMEs performance. This research utilizes secondary data obtained from the Alternative Investment Market concerning SMEs listed in the London Stock Exchange, to investigate the significance of working capital management towards the performance of SMEs. The working capital management components that were used in research are; account payable period APP, average collection period (ACP), return on assets (ROA) and inventory holding period (IHP). The analysis of data involved the use of regression analysis and extensive use of correlation analysis in order to establish the relationship between working capital management and SME performance. The study established that the use of WCM components such as cash conversion cycle, return on assets, cash conversion cycle and inventory holding period have a significant impact on the performance of SMEs. Further, it was established that when SMEs invested heavily in inventories and receivables, they amassed low profits while investment in current assets in relation to total assets lead to elevated profitability. Hence, it was concluded that there is a compelling relationship between WCM and SME performance.

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“…This means that the weight of each criterion becomes irrelevant in determining the aggregate score of an item. Babai et al [23] presented a service-cost performance index analysis of four MCIC models ( [13,19,21,22]). They concluded that [13] and [19] perform better.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic TOC-based approach for planning and control of accessories in MTO environments

Keyvani

Lotfi

2018

Scientia Iranica

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In make-to-order systems, customers expect to have more freedom to choose the accessories. But demand variations and internal disorders induce some uncertainties. Hence, a different inventory system is needed for such items that dynamically manage those variations. In this paper, a dynamic approach based on the theory of constraints is proposed for inventory planning and control of accessories. First, the risk of processing time variation is balanced while keeping cycle time balancing. Second, the ribbons of buffer control charts are determined by a buffer planning model in which a multi-criteria ABC analysis is used to apply different customer service levels.To detect demand variations and monitor the buffer, trend of consumption in each monitoring window is carefully traced. Also, simulation-based procedures are recommended to update control ribbons. Comparing the performance of proposed approach to common methods using the data of an automobile company as well as several random test problems confirms that it can significantly reduce the costs and improve the efficiency of inventory system.

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On the inventory performance of multi-criteria classification methods: empirical investigation

Cited by 48 publications

References 23 publications

Applying inventory classification to a large inventory management system

Applying inventory classification to a large inventory management system

Trends in working capital management and its impact on firms’ performance – An analysis of SMEs

Dynamic TOC-based approach for planning and control of accessories in MTO environments

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