Integrated location and inventory planning in service parts logistics with customer-based service levels

Candas, Mehmet Ferhat; Kutanoğlu, Erhan

doi:10.1016/j.ejor.2020.01.058

Cited by 16 publications

(6 citation statements)

References 25 publications

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“…, 2021; Liu and Ying, 2020; Shahparvari et al. , 2020; Ferhat Candas and Kutanoglu, 2020; Alptekin et al. , 2020; Zhang et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…proposed a GIS-LP integration method for logistics hub location (Shahparvari et al. , 2020), every customer needs a certain level of service based on response time, scholars introduced a nonlinear mixed integer optimization model to optimize inventory (Ferhat Candas and Kutanoglu, 2020), scholars also selected logistics center location based on fuzzy SWARA and CoCoSo methods (Alptekin et al. , 2020), Chinese scholars try different solutions for cold chain warehouse location and logistics optimization on the premise of low carbon emission (Zhang et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, the spatial distribution and network structure of logistics economy have become the focus of scholars. The impact of logistics industry agglomeration on regional economy (van den Heuvel et al, 2013;Mori and Nishikimi, 2002;Chhetri et al, 2014;Rivera et al, 2014Rivera et al, , 2016Kayikci, 2010;Sheffi, 2012), logistics warehouse location and path optimization (Cheng et al, 2021;Liu and Ying, 2020;Shahparvari et al, 2020;Ferhat Candas and Kutanoglu, 2020;Alptekin et al, 2020;Zhang et al, 2021;Chen et al, 2021), and the research subject gradually changes from macro to individual. In addition to qualitative research, scholars also conduct research through various quantitative methods, mainly including vector autocorrelation and Granger causality test (Taniguchi and Van Der, 2000;Basatab, 2001;Hong -Oanh and Jose, 2010), DECD model (Skjott -Larsen et al, 2003;Camuthers et al, 2004a), time series (Mohammad, 2013;Sultan and Emrah, 2014), production function (Coto-Mill an et al, 2014) and spatial econometric model (Kumar et al, 2017;Peter and Catherine, 2018;Bai et al, 2022;He et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…With the development of data economy, the research of logistics industry has gradually shifted from the macro perspective to the micro perspective, Logistics enterprise location and route optimization have become the focus of international scholars, Scholars optimize the location of complex logistics system through platform data and geographic information system (Cheng et al, 2021), Liu Peide et al explore a multi-attribute decision-making method for the location of integrated logistics distribution center by using two-dimensional language (Liu and Ying, 2020), Shahrooz shahparvari et al proposed a GIS-LP integration method for logistics hub location (Shahparvari et al, 2020), every customer needs a certain level of service based on response time, scholars introduced a nonlinear mixed integer optimization model to optimize inventory (Ferhat Candas and Kutanoglu, 2020), scholars also selected logistics center location based on fuzzy SWARA and CoCoSo methods (Alptekin et al, 2020), Chinese scholars try different solutions for cold chain warehouse location and logistics optimization on the premise of low carbon emission (Zhang et al, 2021;Chen et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on the network connection mode of logistics economy in Guangdong province based on social network analysis

Liu

Xie

Lyu

2022

APJML

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PurposeThis paper aims to clarify the spatial connection characteristics and organization mode of logistics economy of 21 cities in Guangdong Province under the background of the integrated development of Guangdong, Hong Kong and Macao Bay area, and explore the spatial development characteristics and influencing factors of logistics economy in Guangdong Province.Design/methodology/approachThis paper constructs the development level model of urban logistics economy in Guangdong Province from three aspects: demand level, supply level and support level, and uses the entropy weight method to measure the development level index of urban logistics economy in Guangdong Province. Then, the traffic accessibility index model is used to measure the traffic accessibility index between cities in Guangdong Province. Finally, using the social network analysis method, combined with the development level index of urban logistics economy in Guangdong Province and the urban traffic access index in Guangdong Province, this paper analyzes the spatial connection characteristics and influencing factors of logistics economy network in Guangdong Province.FindingsThere are regional differences in the development level of logistics economy in Guangdong Province; The overall network density of its logistics economic connection is large, but there is an imbalance in the network structure, and the core edge phenomenon is obvious; Logistics economic space presents the characteristics of double core development.Research limitations/implicationsBecause the research object is the spatial connection characteristics of logistics economy in Guangdong Province, the research results may lack universality. Therefore, researchers are encouraged to put forward further tests.Practical implicationsBy studying the spatial connection mode of logistics economy in 21 cities in Guangdong Province, China, this paper promotes the original methods and empirical contributions, and constructs the research framework of spatial relationship of logistics economy. This research framework is universal to a certain extent.Social implicationsThis paper is conducive to promoting the integrated development of logistics economy in Guangdong Province and improving the balance of regional development of logistics economy.Originality/valueFirstly, this study provides a new perspective to understand the spatial relationship and spatial spillover of logistics economy from relational data rather than attribute data. Secondly, This study enriched and broadened the research topic of spatial correlation of logistics economy. Thirdly, this research aims to promote the original methods and empirical contributions. Specifically, this study establishes a comprehensive research framework on the spatial network structure of logistics economy.

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“…, 2021; Liu and Ying, 2020; Shahparvari et al. , 2020; Ferhat Candas and Kutanoglu, 2020; Alptekin et al. , 2020; Zhang et al.…”

Section: Literature Reviewmentioning

confidence: 99%