Green Vehicle Routing Under Customer Demand Uncertainty
Dereje DejeneMengistu1, M. Srinivasa Rao2, V.V.S.Kesava Rao3
1Dereje Dejene Mengistu*, Department of Mechanical Engineering Andhra University College Andhra Pradesh, India.
2M. Srinivasa Rao, DGM Maintnance, Vizag Steel Plant, Visakhapatnam, Andhra Pradesh, India
3Prof. V.V.S.Kesava Rao, Department of Mechanical Engineering Andhra University College Andhra Pradesh, India.
Manuscript received on May 21, 2021. | Revised Manuscript received on September 04, 2021. | Manuscript published on September 30, 2021. | PP: 36-45 | Volume-10, Issue-3, September 2021. | Retrieval Number: 100.1/ijrte.A58610510121 | DOI: 10.35940/ijrte.A5861.0910321
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: customer satisfaction is the main focus area in supply chain management and the distribution of goods plays a vital role in customer satisfaction. cost optimization and in time delivery leads to customer satisfaction. Optimization of Vehicle route plan is the method generally applied to deal it. such plans shall consider the minimization of pollution emissions. This paper proposes a optimization method to handle the vehicle routing problem(vrp). Genetic algorithm and fuzzy clustering algorithm are applied in the method.
Keywords: vrp , fuzzy ,customer, and emission.