Processing, Please wait...

  • Home
  • 📊 Statistics
  • About Us
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » Authors » Andrew Wai Hung Ip

📚 Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • Discrete Firefly
  • ChatGPT and Blended Learning

Journals

  • IJIEC (777)
  • MSL (2648)
  • DSL (690)
  • CCL (544)
  • USCM (1099)
  • ESM (428)
  • AC (562)
  • JPM (323)
  • IJDS (992)
  • JFS (101)
  • HE (37)
  • SCI (41)

🔑 Keywords

Supply chain management(168)
Jordan(167)
Vietnam(153)
Customer satisfaction(122)
Performance(116)
Supply chain(113)
Competitive advantage(98)
Service quality(98)
Artificial intelligence(95)
Tehran Stock Exchange(94)
Sustainability(91)
SMEs(91)
optimization(88)
Trust(84)
Financial performance(84)
TOPSIS(83)
Job satisfaction(81)
Knowledge Management(80)
Social media(79)
Genetic Algorithm(78)


» Show all keywords

✍️ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(67)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(38)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

🌍 Countries

Iran (2199)
Indonesia (1319)
Jordan (848)
India (808)
Vietnam (512)
Saudi Arabia (503)
Malaysia (458)
China (232)
United Arab Emirates (231)
United States (177)
Thailand (163)
Egypt (117)
Turkiye (115)
Ukraine (114)
Peru (96)
Morocco (95)
Canada (95)
Pakistan (88)
United Kingdom (80)
Nigeria (78)
Taiwan (68)
Bangladesh (55)
Italy (53)
Algeria (52)
Australia (52)
Poland (46)
Colombia (45)
Iraq (45)
Tunisia (43)
Brazil (39)
Cyprus (34)
Columbia (32)
South Africa (32)
Spain (31)
Kuwait (29)
Ghana (29)
France (27)
Oman (26)
Russia (26)
South Korea (26)
Bahrain (26)
Japan (24)
Ethiopia (22)
Argentina (22)
Germany (22)
Yemen (20)
Qatar (18)
Portugal (14)
Kenya (13)
Sudan (13)
Tunesia (13)
Kazakhstan (12)
Russian Federation (11)
Norway (11)
Serbia (10)
México (9)
Palestine (9)
Sri Lanka (8)
Botswana (8)
Uzbekistan (7)
Philippines (7)
Czech Republic (7)
Netherlands (7)
Uganda (6)
Zimbabwe (6)
Hungary (6)
Chile (6)
New Zealand (5)
Tanzania (5)
Switzerland (4)
Syria (4)
Kosovo (4)
Greece (4)
Finland (4)
Belgium (3)
North Korea (3)
Sweden (3)
Ireland (3)
Belarus (3)
Lebanon (2)
Austria (2)
Uruguay (2)
Zambia (2)
Benin (2)
Singapour (2)
Nepal (2)
Myanmar (2)
Lesotho (1)
Namibia (1)
Madagascar (1)
Tashkand (1)
Malawi (1)
Hong Kong (1)
Bangeladesh (1)
Naryn (1)
Nairobi (1)
Macau (1)
Armenia (1)
Angola (1)
Ecuador (1)
Denmark (1)
Cuba (1)
Yerevan (1)
Moldova (1)
Bosnia and Herzegovina (1)
Macao (1)
Puerto Rico (1)
Singapore (1)
Latvija (1)
Republic of Korea (1)
Romania (1)
Kyrg. Republic (1)
Libya (1)
Benin Republic (1)
Brunei (1)
Maroc (1)
Bhutan (1)
Slovak Republic (1)
Slovakia (1)
Slovenia (1)
Israel (1)
Lithuania (1)
Bulgaria (1)
Burkina Faso (1)
Cameroon (1)
Mauritius (1)

>> Show all countries
Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

An efficient multi-attribute multi-item auction mechanism with ex-ante and ex-post satisfaction for 4PL transportation service procurement Pages 571-588 Right click to download the paper Download PDF

Authors: Na Yuan, Xiaohu Qian, Min Huang, Haiming Liang, Andrew Wai Hung Ip, Kai-Leung Yung

doi 10.5267/j.ijiec.2023.3.001 Crossmark

Keywords: Transportation service procurement, Efficient multi-attribute reverse auction, Ex-ante and ex-post satisfaction, Mechanism design

Abstract:
Reverse auction is an effective tool for a 4PL to purchase transportation services. This paper investigated a new transportation services procurement problem for 4PL, which involves three features: the 4PL’s loss-averse behavior, price and non-price attributes, and multiple transportation requests. An efficient multi-attribute multi-item reverse auction mechanism considering the 4PL ex-ante and ex-post satisfaction (EES-MMRA) is proposed to purchase transportation services for the 4PL. In the EES-MMRA, integrating the allocation rule with the 4PL ex-ante satisfaction, a 0-1 programming model is constructed to determine winning 3PLs and obtain efficient allocations. Then, a payment rule considering the 4PL ex-post satisfaction is established to ensure truthful bidding of 3PLs. And we discuss some desirable properties (e.g., incentive compatibility, individual rationality, efficiency, and budget balance properties) to justify the EES-MMRA mechanism, subsequently. Next, several numerical experiments are conducted to demonstrate the effectiveness and applicability of the EES-MMRA mechanism. Furthermore, sensitivity analysis presents the influences of the weights of the non-price attributes, risk attitude coefficients, and loss aversion coefficients. Finally, we conduct comparison analysis to show the advantages of the EES-MMRA mechanism over the known Vickrey–Clark–Groves (P-VCG) mechanism.
Details
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJIEC | Year: 2023 | Volume: 14 | Issue: 3 | Views: 1048 | Reviews: 0

 

® 2010-2026 GrowingScience.Com