Survey: Allocation of quality control stations in multistage manufacturing systems
The allocation of quality control stations (AQCS) in multistage manufacturing systems has been studied extensively over the decades. This paper reviews the existing approaches, models comparison and solution techniques applied in AQCS. The relevance of ...
Economic design of time-between-events control chart system
This article presents the economic design of the control chart system consisting of several individual control charts based on time-between-events (TBE) data for monitoring multistage manufacturing processes. The design algorithm considers all the TBE ...
Fuzzy multi attribute group decision making method to achieve consensus under the consideration of degrees of confidence of experts' opinions
The aim of this paper is to introduce a fuzzy multi attribute group decision making technique considering the degrees of confidence of experts' opinions. In the process of decision making, each expert provides his/her evaluation over the alternatives ...
Reversed fuzzy Petri nets and their application for fault diagnosis
An alterative approach to the backward reasoning is presented. In classical reasoning, both users and developers of many expert systems are dedicated to the forward reasoning. However, in many newly arising expert systems such as various diagnosis ...
Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network
This paper presents an intelligent diagnosis method for a rolling element bearing; the method is constructed on the basis of possibility theory and a fuzzy neural network with frequency-domain features of vibration signals. A sequential diagnosis ...
A simple and robust Simulated Annealing algorithm for scheduling workover rigs on onshore oil fields
Onshore oil wells are dependent of maintenance services such as cleaning, reinstatement and stimulation. These services can be performed by a limited number of workover rigs. Usually, wells need maintenance services and a scheduling of the workover rigs ...
Minimizing deviations of input and output weights from their means in data envelopment analysis
In this paper, we propose a model that minimizes deviations of input and output weights from their means for efficient decision-making units in data envelopment analysis. The mean of an input or output weight is defined as the average of the maximum and ...
A two-agent single-machine scheduling problem with truncated sum-of-processing-times-based learning considerations
Scheduling with learning effects has received a lot of research attention lately. By learning effect, we mean that job processing times can be shortened through the repeated processing of similar tasks. On the other hand, different entities (agents) ...
Online deadline scheduling with preemption penalties
This paper presents a study of the problem of online deadline scheduling under the preemption penalty model of Zheng, Xu, and Zhang (2007). In that model, each preemption incurs a penalty of @r times the weight of the preempted job, where @r>=0 is the ...
A new mixed integer linear model for selecting the best decision making units in data envelopment analysis
In a recent paper by Amin (Amin, Gholam R. (2009). Comment on finding the most efficient DMUs in DEA: An improved integrated model. Computers & Industrial Engineering, 56, 1701-1702), he proposed an improved approach to determine a single efficient DMU ...
A Lexicographic Nelder-Mead simulation optimization method to solve multi-criteria problems
Simulation optimization is an approach that is used to solve problems involving stochastic components. This paper presents a Lexicographic Nelder-Mead (LNM) based simulation optimization (LNM-SO) method to solve multi-criteria simulation optimization ...
Discrete particle swarm optimization based on estimation of distribution for terminal assignment problems
Terminal assignment problem (TEAP) is to determine minimum cost links to form a network by connecting a given set of terminals to a given collection of concentrators. This paper presents a novel discrete particle swarm optimization (PSO) based on ...
Mathematical modeling for solving manufacturing run time problem with defective rate and random machine breakdown
This paper employs mathematical modeling for solving manufacturing run time problem with random defective rate and stochastic machine breakdown. In real life manufacturing systems, generation of nonconforming items and unexpected breakdown of production ...
The voting analytic hierarchy process method for discriminating among efficient decision making units in data envelopment analysis
Making optimal use of available resources has always been of interest to humankind, and different approaches have been used in an attempt to make maximum use of existing resources. Limitations of capital, manpower, energy, etc., have led managers to ...
A network flow model for clustering segments and minimizing total maintenance and rehabilitation cost
Because of shrinking budgets, transportation agencies are facing severe challenges in the preservation of deteriorating pavements. There is an urgent need to develop a methodology that minimizes maintenance and rehabilitation (M&R) cost. To minimize ...
Unrelated parallel-machine scheduling with deteriorating maintenance activities
We study the problem of unrelated parallel-machine scheduling with deteriorating maintenance activities. Each machine has at most one maintenance activity, which can be performed at any time throughout the planning horizon. The length of the maintenance ...
Model and heuristic for berth allocation in tidal bulk ports with stock level constraints
We consider the problem of allocating berth positions for vessels in tidal bulk port terminals. A berth is defined as a specific location alongside a quay where a ship loader is available for loading or unloading vessels, accommodating only one vessel ...
A concurrent solution for intra-cell flow path layouts and I/O point locations of cells in a cellular manufacturing system
In this paper, we study the I/O (Input/Output) point location problem and the intra-cell flow path layout problem of cells in a cellular manufacturing system. Traditional approaches have often solved these two problems as separate problems, despite they ...
Safe controllers design for industrial automation systems
The design of safe industrial controllers is one of the most important domains related to Automation Systems research. To support it, synthesis and analysis techniques are available. Among the analysis techniques, two of the most important are ...
Preventive maintenance and replacement scheduling for repairable and maintainable systems using dynamic programming
This paper presents mathematical models and a solution approach to determine the optimal preventive maintenance schedules for a repairable and maintainable series system of components with an increasing rate of occurrence of failure (ROCOF). The ...
A study on the life of an innovative product using a Bayesian approach
In this paper, the life cycle of an innovative product is divided into three stages, where a nonhomogeneous Poisson process (NHPP) with a power law intensity function is employed to illustrate the entry process of rival firms in a competitive market. ...
Monitoring roundness profiles based on an unsupervised neural network algorithm
In modern manufacturing, approaches for profile monitoring can be adopted to detect unnatural behaviors of production processes, i.e. to signal when the relationship used to represent the profiles changes with time. Most of the literature concerned with ...
Coupled-task scheduling on a single machine subject to a fixed-job-sequence
This paper investigates single-machine coupled-task scheduling where each job has two tasks separated by an exact delay. The objective of this study is to schedule the tasks to minimize the makespan subject to a given job sequence. We introduce several ...
An efficient memetic algorithm for solving the job shop scheduling problem
The job shop scheduling problem (JSP) is well known as one of the most complicated combinatorial optimization problems, and it is a NP-hard problem. Memetic algorithm (MA) which combines the global search and local search is a hybrid evolutionary ...
Estimation of distribution algorithm for permutation flow shops with total flowtime minimization
In this paper, an Estimation of Distribution Algorithm (EDA) is proposed for permutation flow shops to minimize total flowtime. Longest Common Subsequence (LCS) is incorporated into the probability distribution model to mine good ''genes''. Different ...
Approximate dynamic programming for an inventory problem: Empirical comparison
This study investigates the application of learning-based and simulation-based Approximate Dynamic Programming (ADP) approaches to an inventory problem under the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model. Specifically, we ...
Optimal maintenance time for imperfect maintenance actions on repairable product
This paper develops a maintenance strategy for repairable products that combines imperfect maintenance actions at pre-scheduled times and minimal repair actions for failures. Under a power law process of failures, an expected total cost is developed ...
Single-machine group scheduling with both learning effects and deteriorating jobs
In the paper two resource constrained single-machine group scheduling problems with both learning effects and deteriorating jobs are considered. By learning effects, deteriorating jobs and group technology assumption, we mean that the processing time of ...