scholarly journals Fuzzy Goal Programming Approach in Vehicle Routing Problem

2017 ◽  
pp. 49-64
Author(s):  
Selen Çelikkanat Filiz ◽  
Ergün Eroğlu
Keyword(s):  
Vehicle Routing ◽  
Goal Programming ◽  
Vehicle Routing Problem ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Routing Problem ◽  
Fuzzy Goal

scholarly journals Solving a bi-objective vehicle routing problem under uncertainty by a revised multi-choice goal programming approach

2017 ◽  
pp. 283-302 ◽  
Author(s):  
Hossein Yousefi ◽  
Reza T avakkoli-Moghaddam ◽  
Mahyar Taheri Bavil Oliaei ◽  
Mohammad Mohammadi ◽  
Ali Mozaffari
Keyword(s):  
Vehicle Routing ◽  
Goal Programming ◽  
Vehicle Routing Problem ◽  
Programming Approach ◽  
Routing Problem

scholarly journals Implementation of the Model Capacited Vehicle Routing Problem with Time Windows with a Goal Programming Approach in Determining the Best Route for Goods Distribution

2020 ◽  
Vol 17 (2) ◽  
pp. 231-239
Author(s):  
Wahri Irawan ◽  
Muhammad Manaqib ◽  
Nina Fitriyati
Keyword(s):  
Vehicle Routing ◽  
Goal Programming ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Goal Function ◽  
Programming Approach ◽  
Routing Problem ◽  
Total Capacity ◽  
Vehicle Capacity ◽  
Number Of Customers

This research discusses determination of the best route for the goods distribution from one depot to customers in various locations using the Capacitated Vehicle Routing Problem with Time of Windows (CVRPTW) model with a goal programming approach. The goal function of this model are minimize costs, minimize distribution time, maximize vehicle capacity and maximize the number of customers served. We use case study in CV. Oke Jaya companies which has 25 customers and one freight vehicle with 2000 kg capacities to serve the customers in the Serang, Pandeglang, Rangkasbitung and Cikande. For simulation we use software LINGO. Based on this CVRPTW model with a goal programming approach, there are four routes to distribute goods on the CV. Oke Jaya, which considers the customer’s operating hours, with total cost is Rp 233.000,00, the total distribution time is 17 hours 57 minutes and the total capacity of goods distributed is 6150 kg.

A fuzzy goal programming approach for selecting sustainable suppliers

2017 ◽  
Vol 24 (5) ◽  
pp. 1138-1165 ◽  
Author(s):  
Peeyush Pandey ◽  
Bhavin J. Shah ◽  
Hasmukh Gajjar
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Qualitative Data ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Two Phase ◽  
Content Type ◽  
Lean Practices ◽  
Proposed Model ◽  
Fuzzy Goal

Purpose Due to the ever increasing concern toward sustainability, suppliers nowadays are evaluated on the basis of environmental performances. The data on supplier’s performance are not always available in quantitative form and evaluating supplier on the basis of qualitative data is a challenging task. The purpose of this paper is to develop a framework for the selection of suppliers by evaluating them on the basis of both quantitative and qualitative data. Design/methodology/approach Literature on sustainability, green supply chain and lean practices related to supplier selection is critically reviewed. Based on this, a two phase fuzzy goal programming approach integrating hyperbolic membership function is proposed to solve the complex supplier selection problem. Findings Results obtained through the proposed approach are compared to the traditional models (Jadidi et al., 2014; Ozkok and Tiryaki, 2011; Zimmermann, 1978) of supplier selection and were found to be optimal as it achieves higher aspiration level. Practical implications The proposed model is adaptive to solve real world problems of supplier selection as all criteria do not possess the same weights, so the managers can change the criteria and their weights according to their requirement. Originality/value This paper provides the decision makers a robust framework to evaluate and select sustainable supplier based on both quantitative and qualitative data. The results obtained through the proposed model achieve greater satisfaction level as compared to those achieved by traditional methods.

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