초록

Purpose – This paper aims to suggest a delivery constrained internet shopping optimization problem (DISOP) which must be solved for online recommendation system to provide a customized service considering cost and delivery conditions at the same time. Research design, data, and methodology – To solve a (DISOP), we propose a multi-objective formulation and a solution approach. By using a commercial optimization software (LINDO), a (DISOP) can be solved iteratively and a pareto optimal set can be calculated for real-sized problem. Results – We propose a new research problem which is different with internet shopping optimization problem since our problem considers not only the purchasing cost but also delivery conditions at the same time. Furthermore, we suggest a multi-objective mathematical formulation for our research problem and provide a solution approach to get a pareto optimal set by using numerical example. Conclusions – This paper proposes a multi-objective optimization problem to solve internet shopping optimization problem with delivery constraint and a solution approach to get a pareto optimal set. The results of research will contribute to develop a customized comparison and recommendation system to help more easy and smart online shopping service.

키워드

Internet Shopping Optimization Problem, Multi-objective Optimization, Pareto Optimal Set, Online Shopping Recommendation.

참고문헌(11)open

  1. [학술지] Blazewicz, J. / 2010 / Internet Shopping Optimization Problem / International Journal of Applied Mathematics and Computer Science 20 (2) : 385 ~ 390

  2. [단행본] Deb, K. / 2001 / Multi-Objective Optimization Using Evolutionary Algorithms / John Wiley &Sons

  3. [학술지] Kim, K. J. / 2008 / A Recommender System Using GA K-means Clustering in an Online Shopping Market / Expert Systems with Applications 34 (2) : 1200 ~ 1209

  4. [학술지] 이광근 / 2014 / Effects of the Flow of an Internet Shopping Mall upon Revisit Intention and Purchase Intention / The East Asian Journal of Business Management 4 (4) : 27 ~ 38

  5. [학술지] Kwang-Keun Lee / 2012 / Research on Purchase Decision Factors to TV Home Shopping Product: Digital⋅Home Appliance / The East Asian Journal of Business Management 2 (2) : 13 ~ 21

  6. [학술지] 이상철 / 2013 / 가격 비교 서비스에서 상품 그룹 분석을 통한 추천 기법 / 정보과학회 컴퓨팅의 실제 논문지 19 (11) : 541 ~ 546

  7. [학술지] Li, F. / 2016 / Inventory-Transportation Optimization in Online Shopping Supply Chain Based on Retailer's Decision-Making Power on Pricing. International Journal of Simulation-Systems / Science &Technology 17 (14) : 1 ~ 6

  8. [학술지] Pathak, B. K. / 2012 / Comparison Shopping Agents and Online Price Dispersion : A Search Cost Based Explanation / Journal of Theoretical and Applied Electronic Commerce Research 7 (1) : 64 ~ 76

  9. [학술지] Devinder Pal Singh / 2014 / Online Shopping Motivations, Information Search, and Shopping Intentions in an Emerging Economy / The East Asian Journal of Business Management 4 (3) : 5 ~ 12

  10. [학술지] Ulukan, Z. / 2015 / A Survey of Discrete Facility Location Problems. International Journal of Social, Behavioral, Educational, Economic / Business and Industrial Engineering 9 (7) : 2487 ~ 2492

  11. [학술지] Wojciechowski, A. / 2009 / A Customer Assistance System : Optimizing Basket Cost / Foundations of Computing and Decision Sciences 34 (1) : 59 ~ 69