Showing papers in "Computers & Industrial Engineering in 1993"

TL;DR: In this paper, an economic production policy for deteriorating items with partial back-ordering is proposed, where the implicit assumption in most inventory control models is that when there is a shortage, either complete backordering or complete lost sale is assumed.

TL;DR: A control chart pattern recognition methodology based on the back-propagation algorithm, a neural computing theory, is presented, suitable for real-time statistical process control and promising because of its flexible training and high-speed computation.

TL;DR: An efficient algorithm for solving large-scale 0–1 GP problem is proposed, introducing the fuzziness due to judgement of goal accomplishments, with the generalized upper bound structure.

TL;DR: The integrated information model supports semantic properties of the manufacturing information and can be directly for translated into a specific data dictionary of OODBMS.

TL;DR: In this article, a model formulation using mixed integer goal programming is presented to determine the optimal number of kanbans in order to successfully operate a multi-line, multi-stage kanban production system.

TL;DR: A concepto of “controlled convergence” is introduced t solve the problem of too rapid movement of the representative blocks to form a cluster by carrying out the optimization with the “envelop blocks” of sizes much larger than the actual facilities.

TL;DR: In this paper, the authors present a mathematical model which reflects the three important characteristics of the problem which are: multiple objectives, stochastic inflows, and large-scale nature of the system.

TL;DR: Two discrete system modeling concepts: operations network and operation equations, are introduced and these tools are used to describe the structure of the system to be simulated.

TL;DR: In this paper, the authors developed a comprehensive model and the identification of a suitable solution technique for evaluating the effectiveness of simultaneous part-machine groupings in cellular manufacturing systems, where the objective function of the model is formulated as maximizing a unified measure of effectiveness evaluated as a weighted sum of fractions representative of the (negative of) total moves and in-cell utilizations.

TL;DR: A neutral network approach to clustering and classification of parts into families, as applied to Group Technology principles, is presented, which can be applied to other problems in the fields of dynamical system modeling, recognition, prediction and control.

TL;DR: In this paper, a joint lot size model under learning effects was presented for the case of a single buyer incorporating a quantity discount schedule, which assumes that the orders from buyers arrive at multiple integers of the smallest order interval (a basic time period).

TL;DR: In this paper, a two-phase methodology is developed to form machine cells in a computer integrated manufacturing environment using dissimilarity measure between design and manufacturing attributes of parts, which can be used as a tool for model development and analysis.

TL;DR: In this article, a simple heuristic is developed to find the optimal production schedule for the reduced setup cost and the optimal investment in setup reduction, which respectively yield a concave and a convex total cost.

TL;DR: A review of the fuzzy boom in consumer electronics market in Japan is presented, and the research projects, developing tools, and applications by Sanyo Electric Co.

TL;DR: A representational scheme for geometric tolerances that are to be interfaced with a solid model based on a polyhedral solid modeler and several functions have been developed to retrieve essential information from the data structure in order to answer various queries.

TL;DR: A user-defined external database is provided to hold the feature information and is integrated with the CAD database to form a unified central database so that the required information for downstream applications can be captured during the early design stage.

TL;DR: In this article, a stochastic continuously reviewed fixed reorder quantity policy (Q r ) is proposed to minimize a modified cost function representing the ratio between the inventory expected costs per unit time and a spare parts availability measure.

TL;DR: In this article, the authors considered the problem of scheduling n jobs on two identical processors to minimize weighted flow time (WMFT) and gave a dynamic programming algorithm for the WMFT problem.

TL;DR: In this article, a simulator for automated storage and retrieval systems (AS/RSs) is developed using SIMAN and FORTRAN 77, and validated using data obtained from an existing automated distribution center.

TL;DR: In this article, a knowledge-based job-shop scheduling system is presented, which employs artificial intelligence techniques to solve general job shop problems, and builds a schedule that falls within a pre-defined makespan and meets job due dates.

TL;DR: In this article, the authors present the development of a model that uses the material requirements planning (MRP) technique for management of maintenance resources in a thermal power unit and demonstrate the effectiveness of MRSRP through an application for a sub-system of a TPU.

TL;DR: In this paper, a simplified algorithm for the determination of optimal design parameters of joint X and R control charts is presented, which is accurate, efficient, and overcomes drawbacks of the previous algorithm.

TL;DR: In this article, the authors present a simpler search procedure, which is implementable in real time on a personal computer, to get optimal determinations of the parameters n (the sample size), k α (the action limit), k w (the warning limit), and h (the intersample interval) of X-chart with warning limits.

TL;DR: In this article, an optimization model based on queueing theory for determining the number of units of tools to be maintained in stochastic job shop production systems is presented. And an improved simulated annealing algorithm is presented to plan tool requirement based on the optimization model, and a medium-scale numerical example is also discussed in detail.

TL;DR: This work develops performance measures for one category of management tools, information documents, using the concepts of good, bad, and useful information and data to build measures for the effectiveness, quality, and productivity of an information document.

TL;DR: A simulator based on a recursive expression of the sample path that can quickly simulate tandem queueing systems with single server stations and finite buffer sizes and is written in only 160 lines of C code which is executable under any operating environment which supports standard C language.

TL;DR: NCIC as mentioned in this paper is a software tool developed by the authors that facilitates the incorporation of difficult-to-quantify benefits and costs into capital budgeting and combines a framework for clarifying non-traditional criteria with a procedure for subjectively assessing criteria merit in dollar terms.

TL;DR: In this paper, the authors present a methodology to provide tools in the form of multiple tables to assist managers in making decisions on order quantity size, the sequence in which the job should enter the work center, and determination of the common cycles of production time.

TL;DR: In this article, a cost-saving technique based on a cost saving technique is developed to deal with capacitated lot sizing in serial and assembly production environments under dynamic demand over a finite planning horizon.