
Entropy production rate as a criterion for inconsistency in decision theory
Evaluating pairwise comparisons breaks down complex decision problems in...
read it

Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequencedependent and nontriangular setup
This paper approaches the integrated lot sizing and scheduling problem (...
read it

Iterated local search and very large neighborhoods for the parallelmachines total tardiness problem
We present computational results with a heuristic algorithm for the para...
read it

Improving pairwise comparison models using Empirical Bayes shrinkage
Comparison data arises in many important contexts, e.g. shopping, web cl...
read it

Conditions for Normative Decision Making at the Fire Ground
We discuss the changes in an attitude to decision making at the fire gro...
read it

Model Order Reduction for Rotating Electrical Machines
The simulation of electric rotating machines is both computationally exp...
read it

On flat lossy channel machines
We show that reachability, repeated reachability, nontermination and unb...
read it
Quality analysis in acyclic production networks
The production network under examination consists of a number of workstations. Each workstation is a parallel configuration of machines performing the same kind of tasks on a given part. Parts move from one workstation to another and at each workstation a part is assigned randomly to a machine. We assume that the production network is acyclic, that is, a part does not return to a workstation where it previously received service. Furthermore, we assume that the quality of the end product is additive, that is, the sum of the quality contributions of the machines along the production path. The contribution of each machine is modeled by a separate random variable. Our main result is the construction of estimators that allow pairwise and multiple comparison of the means and variances of machines in the same workstation. These comparisons then may lead to the identification of unreliable machines. We also discuss the asymptotic distributions of the estimators that allow the use of standard statistical tests and decision making.
READ FULL TEXT
Comments
There are no comments yet.