دوره 14، شماره 1 - ( 1-1403 )                   جلد 14 شماره 1 صفحات 4294-4283 | برگشت به فهرست نسخه ها


XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shojaeefard M H, Morteza M, Mousavitabar S H R. Heterogeneous Fleet Routing Problem Using Fuzzy Clustering Method by Considering Customer Demand Uncertainty. ASE 2024; 14 (1) :4283-4294
URL: http://www.iust.ac.ir/ijae/article-1-661-fa.html
Heterogeneous Fleet Routing Problem Using Fuzzy Clustering Method by Considering Customer Demand Uncertainty. Automotive Science and Engineering. 1403; 14 (1) :4283-4294

URL: http://www.iust.ac.ir/ijae/article-1-661-fa.html


چکیده:   (1747 مشاهده)

Fleet routing is one of the basic solutions to meet the good demand of customers in which decisions are made based on the limitations of product supply warehouses, time limits for sending orders, variety of products and the capacity of fleet vehicles. Although valuable efforts have been made so far in modeling and solving the fleet routing problem, there is still a need for new solutions to further make the model more realistic. In most research, the goal is to reach the shortest distance to supply the desired products. Time window restrictions are also applied with the aim of reducing product delivery time. In this paper, issues such as customers' need for multiple products, limited warehouses in terms of the type and number of products that can be offered, and also the uncertainty about handling a customer's request or the possibility of canceling a customer order are considered. We used the random model method to deal with the uncertainty of customer demand. A fuzzy clustering method was also proposed for customer grouping. The final model is an integer linear optimization model that is solved with the powerful tools of Mosek and Yalmip. Based on the simulation results, it was identified to what extent possible and accidental changes in customer behavior could affect shipping costs. It was also determined based on these results that the effective parameters in product distribution, such as vehicle speed, can be effective in the face of uncertainty in customer demand.

متن کامل [PDF 636 kb]   (516 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: مدیریت و مهندسی صنایع

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به مجله بین‌المللی مهندسی خودرو می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | Automotive Science and Engineering

Designed & Developed by : Yektaweb