Intuitionistic fuzzy multi-objective milk-run modelling under time window constraints

2021 ◽  
pp. 1-16
Author(s):  
Esra Çakir ◽  
Ziya Ulukan ◽  
Cengiz Kahraman ◽  
Canan Ölçer Sağlam ◽  
Burcu Kuleli Pak ◽  
...  
Keyword(s):  
Linear Programming ◽  
Time Window ◽  
Programming Model ◽  
Real Life ◽  
Transportation Cost ◽  
Linear Programming Model ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Time Window Constraints ◽  
Milk Run

Milk-run is a delivery method allowing to move small quantities of a large number of different items with predictable lead times from various suppliers to a customer. The main goal is to minimize the transportation cost by minimizing the travel distance and by maximizing vehicle capacities. The effects of uncertainties in arrival times of vehicles and loading times of shipments should also be considered in modeling the milk-run problems. In this paper, a multi-objective linear programming model, an ordinary fuzzy multi-objective linear programming model and an intuitionistic fuzzy multi-objective linear programming model are proposed for the milk-run modeling under time window constraints. The proposed approaches are applied on the real-life data of Borusan Logistics which is the one of the largest logistics firms in Turkey and the results are presented.

scholarly journals A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Zhenfeng Jiang ◽  
Dongxu Chen ◽  
Zhongzhen Yang
Keyword(s):  
Time Window ◽  
Programming Model ◽  
Transportation Cost ◽  
Exact Algorithm ◽  
Mixed Integer ◽  
Routing Problem ◽  
Hard Time ◽  
Proposed Model ◽  
Total Transportation Cost ◽  
Time Window Constraints

A Synchronous Optimization for Multiship Shuttle Tanker Fleet Design and Scheduling is solved in the context of development of floating production storage and offloading device (FPSO). In this paper, the shuttle tanker fleet scheduling problem is considered as a vehicle routing problem with hard time window constraints. A mixed integer programming model aiming at minimizing total transportation cost is proposed to model this problem. To solve this model, we propose an exact algorithm based on the column generation and perform numerical experiments. The experiment results show that the proposed model and algorithm can effectively solve the problem.

Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications

2008 ◽  
pp. 26-49 ◽  
Author(s):  
Yong Shi ◽  
Yi Peng ◽  
Gang Kou ◽  
Zhengxin Chen
Keyword(s):  
Data Mining ◽  
Linear Programming ◽  
Credit Card ◽  
Programming Model ◽  
Real Life ◽  
Multiple Criteria ◽  
Linear Programming Model ◽  
Multiple Criteria Optimization ◽  
Research Challenges ◽  
Challenges And Opportunities

This chapter provides an overview of a series of multiple criteria optimization-based data mining methods, which utilize multiple criteria programming (MCP) to solve data mining problems, and outlines some research challenges and opportunities for the data mining community. To achieve these goals, this chapter first introduces the basic notions and mathematical formulations for multiple criteria optimization-based classification models, including the multiple criteria linear programming model, multiple criteria quadratic programming model, and multiple criteria fuzzy linear programming model. Then it presents the real-life applications of these models in credit card scoring management, HIV-1 associated dementia (HAD) neuronal dam-age and dropout, and network intrusion detection. Finally, the chapter discusses research challenges and opportunities.

Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications

2009 ◽  
pp. 1-25
Author(s):  
Yong Shi ◽  
Yi Peng ◽  
Gang Kou ◽  
Zhengxin Chen
Keyword(s):  
Data Mining ◽  
Linear Programming ◽  
Programming Model ◽  
Neuronal Damage ◽  
Real Life ◽  
Multiple Criteria ◽  
Linear Programming Model ◽  
Multiple Criteria Optimization ◽  
Research Challenges ◽  
Challenges And Opportunities

This chapter provides an overview of a series of multiple criteria optimization-based data mining methods, which utilize multiple criteria programming (MCP) to solve data mining problems, and outlines some research challenges and opportunities for the data mining community. To achieve these goals, this chapter first introduces the basic notions and mathematical formulations for multiple criteria optimization- based classification models, including the multiple criteria linear programming model, multiple criteria quadratic programming model, and multiple criteria fuzzy linear programming model. Then it presents the real-life applications of these models in credit card scoring management, HIV-1 associated dementia (HAD) neuronal damage and dropout, and network intrusion detection. Finally, the chapter discusses research challenges and opportunities.

A Multi-Objective Linear Programming Model for a Regional Two–Phase MSW Transfer System in a Medium Sized City – A Case Study in Zhongshan, China

2011 ◽  
Vol 356-360 ◽  
pp. 2071-2078 ◽  
Author(s):  
Jing Cheng Zhou ◽  
Hai Bin Chen ◽  
Yang Hu ◽  
Hao Lan Zhang ◽  
Li Ren
Keyword(s):  
Linear Programming ◽  
Solid Waste ◽  
Rural Areas ◽  
Programming Model ◽  
Linear Programming Model ◽  
Municipal Solid Waste Management ◽  
Transfer System ◽  
Two Phase ◽  
Multi Objective ◽  
Waste Transfer

Municipal solid waste management (MSWM) has consistently improved to keep up with the vast amount of solid waste in urban and rural areas. Research on optimization for an efficient management system has a place for the collection, transportation and transfer of solid waste. Waste transfer optimization attempts to minimize the inconvenience and costs, which must transfer between waste generation source and waste disposal sites (WDSs). In this paper, a Multi-objective Linear Programming Model for the Two-phase Waste Transfer System (MOLPMWTS) is assumed to be given, with which the two-phase waste transfer stations (WTSs) and motor carriers for waste transfer are take into account. And a two-phase waste transfer system in town of Guzhen, Zhongshan, China, is presented. The case showed a multi-objectives for numerical minimization of allocation of WTSs and transfer carriers.

scholarly journals Multi-objective vehicle routing and loading with time window constraints: a real-life application

2019 ◽  
Vol 291 (1-2) ◽  
pp. 799-825 ◽  
Author(s):  
Xiang Song ◽  
Dylan Jones ◽  
Nasrin Asgari ◽  
Tim Pigden
Keyword(s):  
Vehicle Routing ◽  
Time Window ◽  
Real Life ◽  
Multi Objective ◽  
Time Window Constraints
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