Optimization of Multi-period Three-echelon Citrus Supply Chain Problem

Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 412

This Paper With 15 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_JOIE-13-1_004

تاریخ نمایه سازی: 3 اردیبهشت 1399

Abstract:

In this paper, a new multi-objective integer non-linear programming model is developed for designing citrus three-echelon supply chain network. Short harvest period, product specifications, high perished rate, and special storing and distributing conditions make the modeling of citrus supply chain more complicated than other ones. The proposed model aims to minimize network costs including waste cost, transportation cost, and inventory holding cost, and to maximize network’s profits. To solve the model, firstly the model is converted to a linear programming model. Then three multi-objective meta-heuristic algorithms are used including MOPSO, MOICA, and NSGA-II for finding efficient solutions. The strengths and weaknesses of MOPSO, MOICA, and NSGA-II for solving the proposed model are discussed. The results of the algorithms have been compared by several criteria consisting of number of Pareto solution, maximum spread, mean ideal distance, and diversification metric.Computational results show that MOPSO algorithm finds competitive solutions in compare with NSGA-II and MOICA.

Keywords:

Authors

Navid Sahebjamnia

Department of Indusrtial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran.

Fariba Goodarzian

Department of Indusrtial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran.

Mostafa Hajiaghaei-Keshteli

Department of Indusrtial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran.

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • A Comparison of NSGA II and MOSA for Solving Multi-depots Time-dependent Vehicle Routing Problem with Heterogeneous Fleet [مقاله ژورنالی]
  • Afshar-Nadjafi, B. and A. Razmi-Farooji, Using NSGA II and MOSA ...
  • Ahumada, O. and J.R. Villalobos, Operational model for planning the ...
  • Alaghebandha, M., S.H.R. Pasandideh, and V. Hajipour, A Continuous Review ...
  • Atashpaz-Gargari, E. and C. Lucas. Imperialist competitive algorithm: an algorithm ...
  • Bortolini, M., et al., Fresh food sustainable distribution: cost, delivery ...
  • Bozorgi-Amiri, A., et al., A modified particle swarm optimization for ...
  • Christopher, M., Logistics & supply chain management. 2016: Pearson UK. ...
  • Deb, K., et al., A fast and elitist multiobjective genetic ...
  • Derwik, P. and D. Hellström, Competence in supply chain management: ...
  • Eberchart, R. and J. Kennedy. Particle swarm optimization. in IEEE ...
  • Eberhart, R. and J. Kennedy. A new optimizer using particle ...
  • A Multi-Objective Particle Swarm Optimization for Mixed-Model Assembly Line Balancing with Different Skilled Workers [مقاله ژورنالی]
  • Ghodratnama, A., F. Jolai, and R. Tavakkoli-Moghaddam, Solving a new ...
  • González-Araya, M.C., W.E. Soto-Silva, and L.G.A. Espejo, Harvest Planning in ...
  • Govindan, K., et al., Two-echelon multiple-vehicle location–routing problem with time ...
  • Govindan, K., Sustainable consumption and production in the food supply ...
  • Hafezalkotob, A., K. Khalili-Damghani, and S.S. Ghashami, A Three-Echelon Multi-Objective ...
  • Harris, I., C.L. Mumford, and M.M. Naim, A hybrid multi-objective ...
  • Ju, M., M. Osako, and S. Harashina, Food loss rate ...
  • Khalili-Damghani, K., A.-R. Abtahi, and M. Tavana, A new multi-objective ...
  • Latha Shankar, B., et al., Location and allocation decisions for ...
  • Litchy, A.J. and M.H. Nehrir. Real-time energy management of an ...
  • Lowe, T.J. and P.V. Preckel, Decision technologies for agribusiness problems: ...
  • Mahdavi, I., et al., A new mathematical model for integrating ...
  • Manders, J.H.M., M.C.J. Caniëls, and P.W.T. Ghijsen, Exploring supply chain ...
  • Melo, M.T., S. Nickel, and F. Saldanha-Da-Gama, Facility location and ...
  • Mirzapour Al-E-Hashem, S., H. Malekly, and M. Aryanezhad, A multi-objective ...
  • Mousavi, S.M., et al., A modified particle swarm optimization for ...
  • Nadal-Roig, E. and L.M. Plà-Aragonés, Optimal Transport Planning for the ...
  • Naderi, B., The project portfolio selection and scheduling problem: mathematical ...
  • Negi, S. and N. Anand, Issues and challenges in the ...
  • Pishvaee, M.S., Honey global supply chain network design using fuzzy ...
  • Saeedi Mehrabad, M., A. Aazami, and A. Goli, A location-allocation ...
  • Sarrafha, K., A. Kazemi, and A. Alinezhad, A multi-objective evolutionary ...
  • Soto-Silva, W.E., et al., Operational research models applied to the ...
  • Torabi, S.A., et al., A particle swarm optimization for a ...
  • Trisna, T., et al., Multi-objective optimization for supply chain management ...
  • نمایش کامل مراجع