A bibliometric and social network analysis of data-driven heuristic methods for logistics problems

Nurcan Deniz; Eren Ozceylan

doi:10.3934/jimo.2022190

Article Contents

2023, Volume 19, Issue 8: 5671-5689. Doi: 10.3934/jimo.2022190

This issue Previous Article Quality investment strategies in a complementary supply chain with an unreliable supplier Next Article The effect of repeating transactions on service supply chain performance under proprietary and agent modes

A bibliometric and social network analysis of data-driven heuristic methods for logistics problems

Nurcan Deniz^1, and
Eren Ozceylan^2, ,

1.
Department of Business Administration, Eskişehir Osmangazi University, Eskişehir, Turkey
2.
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey

^*Corresponding author: Eren Ozceylan
^*Corresponding author: Eren Ozceylan

Received: June 2022

Revised: September 2022

Early access: September 2022

Published: August 2023

Abstract / Introduction Full Text(HTML) Figure(5) / Table(9) Related Papers Cited by

Abstract

Transport and logistics systems include a range of activities that deal with all sorts of decisions and operations from material handling to vehicle routing. One of the main challenges for transport and logistics processes is to deal with large-scale and complex problems. However, with increasingly diverse sets of operational real-world data becoming available, data-driven heuristic approaches are promising to pave the path for solving the problems in the field of transport and logistics. Thus, a comprehensive review is needed to observe the reflections of this path in literature. To bridge this gap, a total of 40 papers on the topic of "data-driven heuristic approaches to logistics and transportation problems" are determined. Before the categorization and content analysis; descriptive, bibliometric and social network analysis are carried out to identify the current state of the literature. All the papers are systemically reviewed based on different perspectives, namely data-driven methodology, heuristics, sub-problems and etc. Based on the review, suggestions for future research are likewise provided. Subsequently, machine learning and deep learning methods are considered to be among the most promising data-driven methodologies. The review may be useful for academicians, researchers, and practitioners for a better understanding of data-driven heuristic approaches to transportation and logistics problems.

Keywords:

Mathematics Subject Classification: Primary: 00A64, 90-02; Secondary: 90B06, 90C59.

Citation:

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Figure 1. Flowchart of the Review Methodology

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Figure 2. Paper numbers according to years (Early access papers are categorized in 2021)

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Figure 3. Co-author network

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Figure 4. Co-citation network

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Figure 5. Co-word network

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Table 1. Database Search Information

Keywords			Query results	Included	Duplicated	Excluded
Group A	Group B	Group C	Query results	Included	Duplicated	Excluded
Data driven	heuristic	logistic	12	4	8
	heuristic	transport	22	7	15
	ad. large neighb.	logistic	1	1
	ad. large neighb.	transport	1			1
	heuristic	vehicle routing	13	5	2	6
	heuristic	routing	26	6	7	13
	2-opt	logistic	0
	2-opt	transport	0
	hill climbing	logistic	0
	hill climbing	transport	0
	lin karnighan	logistic	0
	lin karnighan	transport	0
	greedy	logistic	5	1	3	1
	greedy	transport	6	1	4	1
	heuristic	supply chain	11	2	2	7
		material handling	3	2	1
		storing	7	4	3
		order picking	2		1	1
		warehouse	0
		unitising	0
		packaging	9	1	8
		inventory	18	6	8	4
TOTAL			136	40	56+6=62	34

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Table 2. Journals in which papers published

Journal Name	ISSN	Number of Papers
Production and Operations Management	1059-1478	4
Operations Research	0030-364X	3
International Journal of Production Economics	0925-5273	2
Transportation Science	0041-1655	2
Computers and Industrial Engineering	0360-8352	2
Networks	0028-3045	1
Manufacturing and Service Operations Management	1523-4614	1
Journal of Heuristics	1381-1231	1
Journal of Purchasing and Supply Management	1478-4092	1
Journal of the Operational Research Society	0160-5682	1
Ocean Engineering	0029-8018	1
Transportation Research Part D	1361-9209	1
Transportation Research Part E	1366-5545	1
Transportation Research Record	0361-1981	1
Pamukkale University Journal of Engineering Sciences	1300-7009	1
Royal Society Open Science	2054-5703	1
Transportation Research Part B	0191-2615	1
Complexity	1076-2787	1
Computers in Industry	0166-3615	1
Decision Support Systems	0167-9236	1
Complex & Intelligent Systems	2199-4536	1
ACM Transactions on Human-Robot Interaction	2573-9522	1
ASIA-Pacific Journal of Operational Research	0217-5959	1
Automation in Construction	0926-5805	1
Engineering Applications of Artificial Intelligence	0952-1976	1
International Journal of Advanced Computer Science and Applications	2158-107X	1
International Journal of Production Research	0020-7543	1
Journal of Advanced Transportation	0197-6729	1
IEEE Transactions on Knowledge and Data Engineering	1041-4347	1
European Journal of Operational Research	0377-2217	1
Geoinformatica	1384-6175	1
IEEE Transactions on Intelligent Transportation Systems	1524-9050	1
TOTAL		40

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Table 3. Research areas in which papers published

Research Area	Number of Papers
Operations Research & Management Science	20
Transportation Science & Technology	8
Engineering, Civil	7
Engineering, Manufacturing	7
Management	7
Transportation	6
Engineering, Industrial	5
Computer Science, Artificial Intelligence	5
Computer Science, Information Systems	3
Engineering, Electrical & Electronic	3
Computer Science, Interdisciplinary Applications	3
Multidisciplinary Sciences	2
Computer Science, Theory & Methods	2
Engineering, Multidisciplinary	2
Economics	2
Mathematics, Interdisciplinary Applications	1
Oceanography	1
Robotics	1
Construction & Building Technology	1
Computer Science, Hardware & Architecture	1
Automation & Control Systems	1
Engineering, Marine	1
Geography, Physical	1
Environmental Studies	1
Engineering, Ocean	1
TOTAL	40

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Table 4. Cited papers more than two times

Cited Author	Number of Papers
Clarke G, 1964	5
Toth P, 2014	4
Dantzig G, 1959	4
Solomon M, 1987	3
Scarf H, 1958	3
Ropke S, 2006	3
Bao J, 2017	3
Liyanage L, 2005	3
Gallego G, 1993	3
Pisinger D, 2007	3
Godfrey G, 2001	3
Levi R, 2007	3
Breiman L, 2001	3
Bertsimas D, 2006	3

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Table 5. Co-cited papers more than two times

Citation 1	Citation 2	Co-citation
Gallego G, 1993	Levi R, 2007	3
Levi R, 2007	Scarf H, 1958	3
Gallego G, 1993	Godfrey G, 2001	3
Godfrey G, 2001	Scarf H, 1958	3
Godfrey G, 2001	Levi R, 2007	3
Gallego G, 1993	Scarf H, 1958	3

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Table 6. Keywords more than three times

Keyword	Usage Count
Optimization	10
Chain	9
Routing	9
Supply	8
Programming	7
Vehicle	6
Planning	6
Prediction	5
Algorithm	5
Data	5
Data-Driven	5
Location	4
Logistics	4
Scheduling	4
Heuristic	4
Problem	4
Time	4
Search	4
Model	4

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Table 7. Words in the title more than two times

Words in the Title	Usage Count
Data-Driven	15
Problem	8
Routing	7
Vehicle	5
Approach	5
Time	4
Chain	4
Optimization	4
Urban	3
Based	3
Model	3
System	3
Control	3
Bike	3
Supply	3
Windows	3
Planning	3

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Table 8. Co-words in the title more than two times

Word 1	Word 2	Times
Data-Driven	Routing	5
Data-Driven	Vehicle	4
Data-Driven	Problem	4
Vehicle	Routing	4
Time	Windows	3
Routing	Problem	3
Bike	Trajectories	3
Supply	Chain	3

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Table 9. Problem type based content analysis results

Problem type	Frequency
Vehicle routing problem (VRP)	6
Newsvendor Problem	3
Bike lane planning	2
Freight distribution/Location routing problem (LRP)	2
Material handling	2
Travelling salesman problem (TSP)	2
Credit term determination	1
Eco-driving	1
Facility layout/ Shelf space allocation	1
Fastest route recommendation	1
Flight timetabling and fleet assignment	1
Inventory Shrinkage Problem/phantom stockout	1
Labor-planning	1
Last-Mile Problem/ the joint order assignment and routing	1
Multi-Channel Switching	1
Multimodal Logistics	1
Network growth	1
Optimal route selection	1
Order picking/joint order batching and generalized assignment model	1
Production–distribution problem	1
Route planning	1
Shelf space selection	1
Storage Location Assignment Problem (SLAP)	1
Supply chain coordination	1
Supply chain production and distribution planning	1
Train speed profile optimization	1
Unit Loading Device handling sequence, workstation assignment, and vehicle schedule	1
Urban transport/vehicle scheduling	1
Vehicle sequence	1

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