The effect of bandwidth on telerobot system performance

The purpose of the experiment was to determine the effect that various slave-joint bandwidths have on telerobot system performance. The telerobot system consisted of a slave arm controlled by a master. The slave incorporated an impedance loop to provide local compliance in addition to the compliance provided by the operator via force feedback. Three joint bandwidths, 0.5, 1.0, and 2.0 Hz, were used. The performance measures were the task completion time and the sums of the squared forces and moments exerted on the environment. The task consisted of peg-in-hole insertion and removal. The results of the experiment indicate a significant performance decrease at 0.5-Hz bandwidth relative to the 1- and 2-Hz bandwidths. There was no significant change in performance between the 1- and 2-Hz bandwidths

Hierarchical Production Planning for General Jobs Shops : Part 2 : Evaluation and Application

In the first part of this study, we provided a hierarchical model for mediumn- and short-term planning, as well as solution algorithms which iteratively provide near optimal solutions. In part 2, we evaluate these algorithms from different points of view. We first compare the hierarchical approach and the monolithic approach in terms of memory requirement and computational complexity. We then study the quality of production plans obtained using these algorithms. Finally, we present an industrial application and compose the results obtained using the hierarchical approach with those obtained by the MRP II system currently in use in the company

An Internet-Based Work Instructions System

The Black & Decker factory in Easton, Maryland, uses parallel, off-line assembly lines to produce multiple models in small, infrequent production runs. The University of Maryland and Black & Decker have implemented an Internet-based work instructions system that supports parallel, off-line assembly. Black & Decker personnel create and update easy-to-read paperless work instructions, and each assembly station automatically retrieves the correct paperless work instructions and displays them

Hierarchical Production Planning for General Jobs Shops : Part 1 : Modeling

The study is divided into two parts. In part 1, we provide an extensive bibliographical study on the subject and introduce a two-level hierarchical production planning model. The whole model is composed of the low level model, the high level model, and the links between both. These models are supposed to be known. We provide a mathematical formulation of the production planning problem and an iterative algorithm to solve it. In the second part of the study, we will provide several numerical examples, including an industrial application. We will also provide a comparison of the hierarchical approach and the monolithic approach in terms of efficiency, memory requirement and computational complexity

An Integrated Model for Manufacturing Shop Design

This paper presents an integer programming formulation for the manufacturing shop design problem, which integrates decisions concerning the layout of the resource groups on the shop floor with the design of the material handling system. The model reflects critical practical design concerns including the capacity of the flow network and of the transporters, and the tradeoff between fixed (construction and acquisition) and variable (operational) costs. For realistic industrial cases, the size of the problem prevents the solution through explicit or implicit enumeration schemes. The paper addresses this limitation by decomposing the global model into its natural components. The resulting submodels are shown to be standard problems of operations research. The decomposition approach provides ways to solve the integrated shop design problem in an effective manner

Current Research on Manufacturing Shop and Material Handling System Design

The importance of the manufacturing shop design in the successful operation of a production system is well known and as a result, significant research has been devoted to this area. This paper reviews important literature in various aspects of manufacturing shop design including layout, material flow path design, and transporter fleet sizing and routing. In addition, the paper focuses on contributions to integration issues such as the design for operation of material handling systems, and the concurrent design of the shop layout and the transportation system. Research studies in these areas are critically examined, and emerging opportunities for research are identified

Design of cellular manufacturing systems using Latent Semantic Indexing and Self Organizing Maps

A new, efficient clustering method for solving the cellular manufacturing problem is presented in this paper. The method uses the part-machine incidence matrix of the manufacturing system to form machine cells, each of which processes a family of parts. By doing so, the system is decomposed into smaller semi-independent subsystems that are managed more effectively improving overall performance. The proposed method uses Self Organizing Maps (SOMs), a class of unsupervised learning neural networks, to perform direct clustering of machines into cells, without first resorting to grouping parts into families as done by previous approaches. In addition, Latent Semantic Indexing (LSI) is employed to significantly reduce the complexity of the problem resulting in more effective training of the network, significantly improved computational efficiency, and, in many cases, improved solution quality. The robustness of the method and its computational efficiency has been investigated with respect to the dimension of the problem and the degree of dimensionality reduction. The effectiveness of grouping has been evaluated by comparing the results obtained with those of the k-means classical clustering algorithm. Copyright Springer-Verlag Berlin/Heidelberg 2004Cellular manufacturing systems, self-organizing maps, latent semantic indexing,

Complexity of Production Management in a Petri Net Environment

The objective of this paper is to show that Petri nets facilitate a comprehensive approach to production management and reduce the complexity of the problems involved at the expense of some constraints imposed on the decision making systems.The first part of the paper focuses on cyclic manufacturing systems. For this type of systems, it is always possible to propose an event graph model which represents both the physical and the decision making systems. We use such a model to propose a near-optimal scheduling algorithm that maximizes productivity while minimizing the work-in-process (WIP) in the deterministic case.The approach used for non-cyclic manufacturing systems is different in the sense that only the manufacturing processes (i.e. the physical part of the system) and the related constraints are modeled using Petri nets. We use such a Petri net model to propose a short-term planning process which results in a trade- off between the computation burden the level of resource utilization. the short-term planning models is then enhanced to obtain the scheduling model. The latter is used to develop an efficient scheduling algorithm that is able to satisfy the requirements imposed by short-term planning