A mobile application-based decision support system for routing and decision making problems

Metehan Bolat; Oğuz Bedel; Kutay Çetinkurt; Fehmi Özsoydan

Makale detayları

A mobile application-based decision support system for routing and decision making problems

Yazarlar:

Metehan Bolat | Oğuz Bedel | Kutay Çetinkurt | Fehmi Özsoydan

Yayıncı:

Çanakkale Onsekiz Mart University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Advanced Research in Natural and Applied Sciences Vol.9 Issue 3, pp.637-647

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298698

pISSN:

2757-5195

Anahtar kelimeler:

Özet:

 Industry 4.0 applications and related topics open up new opportunities in problem solving for states, companies, production systems and individuals. These developments make data gathering and processing easier. Moreover, mobile devices offer more sophisticated approaches since they can gather data and process the collected data by various algorithms, which are embedded to devices via applications. Appro-priate problem related algorithms can be coded and they can be deployed to mobile devices to increase mobility and ease of use for end users. In the present paper, a prototype of mobile application-based decision support system is developed for industrial systems including routing and multi-criteria decision making problems. The developed application is comprised of several modules including registry and signup modules as well as problem solving modules. Problem solving modules can gather data from both user and outer sources such as GPS in order to solve both routing problems and multi-criteria decision-making problems. The mentioned application adopts a Simulated Annealing Algorithm to find promising routes for the users, while multi-criteria decision-making module uses both Analytical Hierarchy Process AHP and the Technique for Order Preference by Similarity to Ideal Solution TOPSIS based on the choice of the users. The proposed application is coded on Java and Python due to their strong integration capabilities with Android. According the results of the developed prototype, the proposed application offer promising results and ease of use.

 Industry 4.0 applications and related topics open up new opportunities in problem solving for states, companies, production systems and individuals. These developments make data gathering and processing easier. Moreover, mobile devices offer more sophisticated approaches since they can gather data and process the collected data by various algorithms, which are embedded to devices via applications. Appro-priate problem related algorithms can be coded and they can be deployed to mobile devices to increase mobility and ease of use for end users. In the present paper, a prototype of mobile application-based decision support system is developed for industrial systems including routing and multi-criteria decision making problems. The developed application is comprised of several modules including registry and signup modules as well as problem solving modules. Problem solving modules can gather data from both user and outer sources such as GPS in order to solve both routing problems and multi-criteria decision-making problems. The mentioned application adopts a Simulated Annealing Algorithm to find promising routes for the users, while multi-criteria decision-making module uses both Analytical Hierarchy Process AHP and the Technique for Order Preference by Similarity to Ideal Solution TOPSIS based on the choice of the users. The proposed application is coded on Java and Python due to their strong integration capabilities with Android. According the results of the developed prototype, the proposed application offer promising results and ease of use.

 Industry 4.0 applications and related topics open up new opportunities in problem solving for states, companies, production systems and individuals. These developments make data gathering and processing easier. Moreover, mobile devices offer more sophisticated approaches since they can gather data and process the collected data by various algorithms, which are embedded to devices via applications. Appro-priate problem related algorithms can be coded and they can be deployed to mobile devices to increase mobility and ease of use for end users. In the present paper, a prototype of mobile application-based decision support system is developed for industrial systems including routing and multi-criteria decision making problems. The developed application is comprised of several modules including registry and signup modules as well as problem solving modules. Problem solving modules can gather data from both user and outer sources such as GPS in order to solve both routing problems and multi-criteria decision-making problems. The mentioned application adopts a Simulated Annealing Algorithm to find promising routes for the users, while multi-criteria decision-making module uses both Analytical Hierarchy Process AHP and the Technique for Order Preference by Similarity to Ideal Solution TOPSIS based on the choice of the users. The proposed application is coded on Java and Python due to their strong integration capabilities with Android. According the results of the developed prototype, the proposed application offer promising results and ease of use.

 Industry 4.0 applications and related topics open up new opportunities in problem solving for states, companies, production systems and individuals. These developments make data gathering and processing easier. Moreover, mobile devices offer more sophisticated approaches since they can gather data and process the collected data by various algorithms, which are embedded to devices via applications. Appro-priate problem related algorithms can be coded and they can be deployed to mobile devices to increase mobility and ease of use for end users. In the present paper, a prototype of mobile application-based decision support system is developed for industrial systems including routing and multi-criteria decision making problems. The developed application is comprised of several modules including registry and signup modules as well as problem solving modules. Problem solving modules can gather data from both user and outer sources such as GPS in order to solve both routing problems and multi-criteria decision-making problems. The mentioned application adopts a Simulated Annealing Algorithm to find promising routes for the users, while multi-criteria decision-making module uses both Analytical Hierarchy Process AHP and the Technique for Order Preference by Similarity to Ideal Solution TOPSIS based on the choice of the users. The proposed application is coded on Java and Python due to their strong integration capabilities with Android. According the results of the developed prototype, the proposed application offer promising results and ease of use.

Makale detayları

A mobile application-based decision support system for routing and decision making problems

Yazarlar:

Metehan Bolat | Oğuz Bedel | Kutay Çetinkurt | Fehmi Özsoydan

Yayıncı:

Çanakkale Onsekiz Mart University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Advanced Research in Natural and Applied Sciences Vol.9 Issue 3, pp.637-647

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298698

pISSN:

2757-5195

Mobile applications

decision support systems

routing problems

simulated annealing algorithm

multi-criteria decision makingMobile applications

decision support systems

routing problems

simulated annealing algorithm

multi-criteria decision making

Sayı

Makale detayları

Yazarlar: Metehan Bolat | Oğuz Bedel | Kutay Çetinkurt | Fehmi Özsoydan

Yayıncı: Çanakkale Onsekiz Mart University

Ana Başlıklar: Industrial Engineering

Dergi: Journal of Advanced Research in Natural and Applied Sciences Vol.9 Issue 3, pp.637-647

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001298698

pISSN: 2757-5195

Sayı

Yazarlar:

Metehan Bolat | Oğuz Bedel | Kutay Çetinkurt | Fehmi Özsoydan

Yayıncı:

Çanakkale Onsekiz Mart University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Advanced Research in Natural and Applied Sciences Vol.9 Issue 3, pp.637-647

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298698

pISSN:

2757-5195