Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

Seyedan, Mahya; Mafakheri, Fereshteh

doi:10.1186/s40537-020-00329-2

Journal of Big Data

Table 3 Literature on applications of predictive BDA in SC demand forecasting (2005 to 2019)

From: Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

Literature (2005–2019)	Predictive BDA techniques							Demand forecasting SC application
Literature (2005–2019)	ANN	Clustering	KNN	Regression	SVM	SVR	TSF	Demand forecasting SC application
Chang et al. [91]	✔							Printed circuit boards
Levis and Papageorgiou [116]						✔		Electrical appliances
Chi et al. [117]					✔			Calendars
Sun et al. [118]	✔							Fashion retails
Efendigil et al. [119]	✔							Durable consumer goods
Lee and Ou-Yang [120]	✔							Supplier bidding
Chen et al. [121]	✔							Wafer tests
Thomassey [105]	✔							Clothings
Wu [95]					✔			Cars
Wu [122]					✔			Cars
Guanghui [96]	✔					✔		Paper and Cards
Babai et al. [123]							✔	Superstore retails
Kourentzes [124]	✔							Automotive spare parts
Lau et al. [125]	✔							Gasoline
Da Veiga et al. [73]							✔	Dairy products
Jun et al. [37]							✔	Hybrid cars
Ma et al. [71]							✔	Smartphones
Arunraj and Ahrens [126]	✔						✔	Food retails
Blackburn et al. [7]							✔	Chemicals
Gaur et al. [81]			✔					Walmart SC
Islek and Oguducu [100]		✔						Dried nuts and fruits
Murray et al. [74]		✔						Bulk materials
Ramos et al. [75]							✔	Retails sector (footwear)
Saha et al. [90]	✔							Server manufacturing
Di Pillo et al. [127]					✔		✔	Retails sector
Liu et al. [86]	✔							Furniture
Nikolopoulos et al. [80]			✔					Automotive spare parts
da Veiga et al. [128]	✔						✔	Foodstuff retails
Vhatkar and Dias [84]	✔						✔	Oral care products
Amirkolaii et al. [88]	✔							Aircraft spare parts
Bohanec et al. [17]	✔				✔			Toys
Chen and Lu [98]						✔		Computer retails
Huber et al. [19]		✔					✔	Bakery products
Chawla et al. [129]	✔							Walmart
Huang et al. [89]	✔			✔				E-logistics
Loureiro et al. [102]	✔			✔		✔		Fashion retails
Pereira et al. [130]				✔				Scrap tires
Yang and Sutrisno [93]	✔			✔				Perishable goods
Villegas et al. [94]					✔		✔	Personal care products
Yuan et al. [87]	✔							E-logistics
Fanoodi et al. [131]	✔						✔	Blood cells (platelet)
Kilimci et al. [101]	✔					✔	✔	Discount stores
Merkuryeva et al. [92]				✔			✔	Pharmaceuticals
Puspita et al. [104]		✔				✔		Forklifts
Punam et al. [103]			✔	✔		✔		Online grocery
Sharma and Singhal [132]	✔			✔				Automotive/industrial lubricants
Tanizaki et al. [133]				✔				Restaurant supplies
Wang and Chen [134]				✔		✔	✔	Chip manufacturing
Zhu et al. [15]	✔				✔		✔	Seeds

Back to article page