2019
DOI: 10.31387/oscm0370226
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A Multi Echelon Location-Inventory Model with Lateral Transshipment

Abstract: In this research, a supply chain system consisting producer, distribution centers and retailers is modeled by considering lateral transshipment between distribution centers and also using echelon-based inventory system instead of independent inventory system. The model is developed in the form of mixed integer non-linear programming (MINLP) to minimize the total location, transportation, and inventory costs of the system. The model was solved using conic programming approach and validity was examined by compar… Show more

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Cited by 2 publications
(2 citation statements)
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“…Therefore, the optimal locations for UCCs needs Saragih et al: Location-Inventory-Routing Problem in A Context of City Logistics: A Case Study of Jakarta Operations and Supply Chain Management 15(2) pp. 218 -227 © 2022 219 to be determined (Gholamian & Nasri, 2019;Mokrini et al, 2019). The consolidation concept solves the logistics problem's low availability by increasing service levels and optimally controlling inventory on the three entities involved.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the optimal locations for UCCs needs Saragih et al: Location-Inventory-Routing Problem in A Context of City Logistics: A Case Study of Jakarta Operations and Supply Chain Management 15(2) pp. 218 -227 © 2022 219 to be determined (Gholamian & Nasri, 2019;Mokrini et al, 2019). The consolidation concept solves the logistics problem's low availability by increasing service levels and optimally controlling inventory on the three entities involved.…”
Section: Introductionmentioning
confidence: 99%
“…The role of IZs in enhancing economic growth is particularly explicit in countries that are at an early stage of industrial development (UNIDO, 2012). When choosing distribution centers (Gholamian and Nasri, 2019), production and business locations in general and choosing IZs in particular, investors often pay attention to several factors such as: transportation costs (Launhardt, 1993;Von Thunen, 1966;Weber, 1929), markets (Lösch, 1978), road infrastructure and demand dispersion (Mokrini et al, 2019), business's cost and benefit (Badri, 2007;Greenhut, 1956;Hoover, 1948;Lösch, 1978;Mota and Brandão, 2013;Samuelson, 1938;Snyder and Nicholson, 2008), technology and human capital (Arauzo-Carod et al, 2010), public good (Gabe and Bell, 2004), environmental regulation (Becker and Henderson, 2000;List and McHone, 2000), support from public administration (Friedman et al, 1992;Woodward, 1992), institutional quality (Knack and Keefer, 1995;Sachs and Warner, 1997), etc.…”
Section: Introductionmentioning
confidence: 99%