Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Authors » Jahanyar Bamdad Soofi

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (91)
  • HE (26)
  • SCI (26)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(110)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Trust(83)
Financial performance(83)
Sustainability(81)
TOPSIS(81)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Genetic Algorithm(77)
Knowledge Management(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(62)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2181)
Indonesia(1289)
Jordan(786)
India(786)
Vietnam(504)
Saudi Arabia(452)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(110)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


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

A model for location-assortment problem in a competitive environment Pages 641-660 Right click to download the paper Download PDF

Authors: Faezeh Mohammadipour, Maghsoud Amiri, Iman Raeesi Vanani, Jahanyar Bamdad Soofi

DOI: 10.5267/j.ijiec.2022.5.002

Keywords: Competitive Location, Location-Assortment, Product Substitution, Mixed Integer Linear Programming, Firefly Algorithm

Abstract:
This paper considers simultaneously two areas of facility location and assortment planning in a competitive environment. In fact, a chain store that has competitors in the market locates a new facility. As there are different products in the market that can substitute with each other, it is intended to determine the best product assortment as well. An integer nonlinear programming problem is proposed to model the mentioned subject. For solving the model, the problem is reformulated as a mixed integer linear programming one. Therefore, a MIP solver software can be used for solving the small- and medium-size problems. For large-scale problems, a firefly algorithm is designed for obtaining a satisfactory solution. By using the proposed model, it is numerically shown that, in addition to the optimal location, it is also necessary to determine simultaneously the best product assortment for the new store. Actually, comparison results reveal that the location significantly affects the assortment scenarios for the new store. In other words, the selection of new store locations may lead to loss of large profit if the assortment planning is neglected.
Details
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJIEC | Year: 2022 | Volume: 13 | Issue: 4 | Views: 1172 | Reviews: 0

 

® 2010-2026 GrowingScience.Com