Fuzzy Parallel Machine Scheduling Problem Under Fuzzy Job Deterioration and Learning Effects With Fuzzy Processing Times-Reference-Cited by-同舟云学术

Fuzzy Parallel Machine Scheduling Problem Under Fuzzy Job Deterioration and Learning Effects With Fuzzy Processing Times

Published:2019 Issue: Volume: Page:49-67
ISSN:2328-8205
Container-title:Advanced Fuzzy Logic Approaches in Engineering Science
language:
Short-container-title:

Author:

Arık Oğuzhan Ahmet¹,Toksarı Mehmet Duran²

Affiliation:

1. Nuh Naci Yazgan University, Turkey

2. Erciyes University, Turkey

Abstract

This chapter presents a mixed integer non-linear programming (MINLP) model for a fuzzy parallel machine scheduling problem under fuzzy job deterioration and learning effects with fuzzy processing times in order to minimize fuzzy makespan. The uncertainty of parameters such as learning/deterioration effects and processing times in a scheduling problem makes the solution of the problem uncertain. Fuzzy sets can be used to encode uncertainty in parameters. In this chapter, possibilistic distributions of fuzzy parameters and possibilistic linear programming approaches are used in order to create a solution method for MINLP model of fuzzy parallel machine scheduling problem.

Publisher

IGI Global

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