Milk-run Routing and Scheduling Subject to Fuzzy Pickup and Delivery Time Constraints: An Ordered Fuzzy Numbers Approach

2020 ◽  
Author(s):  
Grzegorz Bocewicz ◽  
Zbigniew Banaszak ◽  
Katarzyna Rudnik ◽  
Marcin Witczak ◽  
Czeslaw Smutnicki ◽  
...  
Keyword(s):  
Fuzzy Numbers ◽  
Time Constraints ◽  
Pickup And Delivery ◽  
Delivery Time ◽  
Routing And Scheduling ◽  
Milk Run

An ordered-fuzzy-numbers-driven approach to the milk-run routing and scheduling problem

2020 ◽  
pp. 101288
Author(s):  
Grzegorz Bocewicz ◽  
Zbigniew Banaszak ◽  
Katarzyna Rudnik ◽  
Czeslaw Smutnicki ◽  
Marcin Witczak ◽  
...  
Keyword(s):  
Fuzzy Numbers ◽  
Scheduling Problem ◽  
Routing And Scheduling ◽  
Milk Run

scholarly journals NEW VERSION OF THE BBS METHOD AND ITS USAGE FOR DETERMINING AND SCHEDULING VEHICLE ROUTES

2014 ◽  
Vol 31 (3) ◽  
pp. 83-91 ◽  
Author(s):  
Andrzej Wolfenburg
Keyword(s):  
Vehicle Routing ◽  
Branch And Bound ◽  
Time Windows ◽  
Simulation Method ◽  
Pickup And Delivery ◽  
Vehicle Routing And Scheduling ◽  
Routing And Scheduling ◽  
Multiple Orders ◽  
Vehicle Loads ◽  
Vehicle Routes

The work presents a method of the vehicle routing and scheduling using the modified Branch and Bound Simulation method for vehicles simultaneously carrying loads from multiple orders. Limitations concerning vehicle loads and time windows in pickup and delivery points are taken into consideration. The developed algorithm appoints the shortest, the fastest and the cheapest routes with a certain known accuracy. A modification of the BBS method is described A sample of result using Google API is shown.

scholarly journals OPTIMASI PENDISTRIBUSIAN PRODUK MENGGUNAKAN MODEL FUZZY MULTIOBJEKTIF CYCLICAL INVENTORY ROUTING PROBLEM

2020 ◽  
Vol 9 (1) ◽  
pp. 96
Author(s):  
EKA SUSANTI ◽  
INDRAWATI INDRAWATI ◽  
ROBINSON SITEPU ◽  
ANNISA NABILA ◽  
RISKA WULANDARI
Keyword(s):  
Travel Time ◽  
Fuzzy Numbers ◽  
Inventory Routing ◽  
Delivery Time ◽  
Triangular Fuzzy Numbers ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
Traffic Conditions ◽  
Several Variables ◽  
Model Completion

In distribution activities, travel time is influenced by several factors, such as vehicle conditions, traffic conditions and road conditions. Uncertain traffic conditions cause the travel time can not be defined with certainty (uncertain). If several variables are in a uncertain condition then a deterministic approach is not appropriate. Fuzzy approach, can be used to overcome uncertainty conditions. In this study, the optimal route for chicken egg delivery using the fuzzy Multiobjective Cyclical Inventory Routing Problem (FMOCIRP) model with time and cost is expressed by triangular fuzzy numbers. Model completion using Winqsb software. An optimal shipping route is obtained with a total cost of Rp 114,000 and a total delivery time of 132 minutes. The first optimal delivery route is distributor, retailer 1, retailer 2, retailer 3 and back to the distributor. The second route is distributor, retailer 5, retailer 4 and back to the distributor.

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