TL;DR: The effort of developing such a system for rotational part features using the expert system approachs for CAPP (Computer-Aided Process Planning) is reported.

TL;DR: The problem is modelled as a mixed 0–1 integer programming, whose special structure is exploited for the development of a dual-based lower bounding procedure, whose effectiveness is well demonstrated by the computational experiments conducted with a variety of problems.

TL;DR: A comprehensive expert system design is presented for all problem-solving aspects of statistical process control and a new similarity measure useful in a clustering approach to the knowledge organization is proposed.

TL;DR: In this article, the authors proposed a unifying, linear regression model for estimating the variance structure of the random error terms of the prior model-year failure data, and the estimators based upon this model are equivalent to Kalman-filter smoothed estimates.

TL;DR: In this article, an economic evaluation methodology based on the synthesis of two multiobjective modeling approaches is presented for flexible automation investments, which combines a general mixed integer goal programming (GP) formulation with the analytic hierarchy process (AHP) to utilize both optimization and evaluation capabilities.

TL;DR: In this paper, the authors considered the two stage flow shop problem of minimizing the total completion time, in which all transfer batches are of unit size for each job, and developed an optimal solution procedure for unit sized transfer batch scheduling with setup times which are independent of the sequence and are separated from the processing times at both stages.

TL;DR: An efficient algorithm is proposed for solving the machine chaining problem when there is improper assignment of machines into machine cells in a cellular manufacturing environment, in which case a high intercellular movement of parts is observed.

TL;DR: In this article, a lot-size model with discrete transportation costs is presented and an algorithm for the optimal lot size is presented. But this model assumes that transportation costs are either fixed and are included in the ordering cost or variable and included in item cost.

TL;DR: In this paper, the use of a methodology for the design of robust manufacturing systems using computer simulation experiments was demonstrated, and a brief description of the Taguchi approach as applied to simulation based design studies was presented.

TL;DR: The proposed constructive model, based on Saaty's Analytical Hierarchy Process, rates the set of pairs of potentially adjacent departments with respect to both qualitative and quantitative criteria to solve the facility layout problem.

TL;DR: In this article, the concept of robust scheduling heuristics is introduced and experimental designs which are useful for analyzing robustness in simulation studies, and appropriate statistical analysis is discussed. But it is shown that the selection of the best heuristic may change when the experimental results are looked at in terms of robustness and dispersion.

TL;DR: In this paper, the authors focus on two major issues related to the design, development, and implementation of machine fault diagnosis expert systems: (1) investigation of the actual cognitive process of human diagnostic experts, and (2) analysis of the current practices in the development of MDE expert systems.

TL;DR: In this article, the simple EOQ model is embellished into a composite model by including shipping costs, inspection costs, in-transit holding costs, backorder costs, finite replenishment, and quality rejects in its formulation.

TL;DR: In this article, a greedy heuristic for solving a bicriterion single machine scheduling problem is presented, which uses the control parameter α to manipulate a 1 and q 1 of each job to generate a set of schedules for satisfying these two performance measures.

TL;DR: The Diagnostic System Prototype, consisting of a deep knowledge base and several shallow knowledge bases, tries to find a cause(s) for an observed symptom in CIM (Computer-Integrated Manufacturing), using the concept of entropy.

TL;DR: A new architecture, based on a structured object representation (SOR) paradigm, is suggested and shown that the adoption of an SOR paradigm results in easier and more effective low level integration of the modeling, simulation and reasoning functions.

TL;DR: The results indicate that artificial neural systems could be utilized for practical situations and that extended research in these neural structures could provide adaptive architectures for dynamic robotics control.

TL;DR: In this article, the authors investigated the problem of accepting or rejecting arriving jobs to a job shop in which the flow times of jobs are stochastic and provided the decision maker with a helpful managerial tool in negotiating the due date, earliest delivery date, and penalty cost with the customer so as to maximize the expected net profit.

TL;DR: In this paper, a decision support system that allows the causes of casting defects to be determined is presented. But it does not specify a set of casting parameters to be set and illustrates diagnostic reasoning of casting faults made.

TL;DR: In this article, the authors consider the problem of sequencing a set of simultaneously available jobs on a single-machine to minimize mean tardiness, and show that the modified due-date (MDD) and Wilkerson-Irwin (WI) rules are equivalent.

TL;DR: A single server queueing model with two types of arrivals is discussed under the assumptions of Poisson arrivals, (possibly different) general services and finite waiting room for each type of customer.

TL;DR: In this paper, a modified version of the Johnson's rule is presented, which not only simplifies the programming effort for implementation but is also able to generate all possible optimal sequences obtainable from Johnson's rules.

TL;DR: The program yields maximum likelihood estimates (MLEs) of Weibull scale and shape parameters for each type of component in the systems along with associated confidence limits, which allows the user to predict the fraction failure expected for a new series-configuration of the components.

TL;DR: In this article, an algorithm is presented which uses an enclosing object and the central moments for an initial estimate of pose and a refined estimation is obtained by a nonlinear least squares technique.

TL;DR: A knowledge-based system (KBS) developed to assist in the sensor selection process that runs on a micro-computer and uses a group technology coding scheme for sensor classification and fast data retrieval from an external database.

TL;DR: In this paper, a typical liquid waste injection system is modeled as a linear goal program to study and resolve the effects of conflicting objectives such as cost, environmental regulations, equipment utilization and waste-water quality requirements before injection.

TL;DR: The behavior of x -R control charts in such situations is discussed, and two methods for identifying change point and structure are presented, and Monte Carlo results show that the simpler of the two methods correctly identifies change structure 81% of the time, over the range of changes considered.

TL;DR: In this article, a decision support system developed for an existing mill includes a linear programming (LP) model, data base software and a spreadsheet aid for detailed production scheduling, which was implemented on a microcomputer.

TL;DR: In this article, the authors considered an n-job one-machine sequencing problem with common due-dates and showed that for a given job sequence, the optimal due-date is a simple function of the number of jobs.