[PDF] Top 20 A Possibility Linear Programming Approach to Solve a Fuzzy Single Machine Scheduling Problem

... interactive possibility linear programming approach to solve a single machine scheduling problem with imprecise processing times, due dates, as well as ... See full document

... objective programming in crisp and fuzzy environment have been well developed in order to deal realistic ...Multi-objective programming in intuitionistic fuzzy environment is still in its ... See full document

... 1-dimensional scheduling problem the optimal allocation rule is rather simple; scheduling jobs in non-increasing order of weight over processing time ratios, using certain modified ...1-dimensional ... See full document

... on scheduling problems on a single machine in a sequence dependent setup ...salesman problem to single machine scheduling problems with sequence dependent setup times ...a ... See full document

... offline scheduling structure, all the details about the jobs are gathered before the process ...of single machine batching problem is strongly NP- hard for bounded and unbounded models and ... See full document

... Intuitionistic fuzzy set (IFS) which is one of the generalizations of fuzzy set theory characterized by a membership function, a non-membership function and a hesitancy ...In fuzzy sets the degree of ... See full document

... to solve problems, some near-exact method (they are so-called as heuristic and Meta heuristic methods) prove themselves which Genetic Algorithm is one of the most famous, productive and flexible ...solving ... See full document

... design problem where customer demand and other input parameters are ...integer linear programming for a multi-commodity capacitated single-period version of intermediate distribution ... See full document

... This problem aims at determining production quantity, inventory size and workforce level within a mid-term time ...multi-product fuzzy production planning ...of problem with imprecise demand, by ... See full document

... multi-objective linear programming (MOLP) ...multiple fuzzy objectives included Hussein [5] and Abd El-Wahed ...to solve multi-objective DPD problems involving imprecise available supply, ... See full document

... bi-criteria scheduling problem with sequence dependent setup times on a single ...integer programming model is developed for the problem which belongs to an NP-Hard ... See full document

... two-stage fuzzy-stochastic programming model to determine the number of machines in production environments and order scheduling, with fuzzy processing times of a job where machine ... See full document

... the fuzzy decision framework of Bellman and Zadeh ...of fuzzy LP models, in the literature, the fuzzy LP has been classified into different categories, depending on how imprecise parameters are ... See full document

... – Fuzzy Fractional Assignment Problem, Triangular Fuzzy Number, Taylor Series Approach --------------------------------------------------------------------------------------------------- ... See full document

... IP approach, we were not able to obtain an optimal solution (and in some cases even a good-quality solution) in a reasonable amount of time, where some instances took more than 24 hours to ...CP approach ... See full document

... are fuzzy as MFLP problems. Their method uses fuzzy decision variables with a joint membership function instead of crisp decision ...bound fuzzy decision variables set up the lower bounds of the ... See full document

... The above line is a k-problem in that a point on the line would solve the k – problem if not for ̃ < 0. The intent of the algorithm in following the line is to reach an endpoint where ̃ is zero. ... See full document

... "dynamic" linear program. The simplex method may be adapted to better solve linear programs that have a staged or staircase structure ...The linear Stair-case programming ... See full document

... to solve a multi-objective linear programming problem (MOLPP) using Neutrosophic optimization ...intuitionistic fuzzy optimization and Neutrosophic optimization ... See full document

... solving fuzzy assignment problems. Kumar and Gupta chosen some fuzzy assignment problems and fuzzy travelling salesman problems, which cannot be solved y using the fore-mentioned method for solving ... See full document