Shop floor planning and control in integrated manufacturing systems

The implementation of a shop floor planning and control system is a prerequisite in establishing an effective computer integrated manufacturing system. A shop floor control system integrates management production goals with the capabilities and limitations of the manufacturing plant. Shop floor planning begins with a long term rough cut capacity plan and evolves into near term, capacity requirements and input/output plans. Shop floor control provides a status of in-process operations and a measure of the plants success in executing the plan. Effective use of technology on shop floor increases the efficiency of the manufacturing plant. Simulation is an important tools in accomplishing this. The use of simulation for planning and control of shop floor activities is a natural out growth of its application for the design of systems. Simulation, when used for production planning and control, is a useful vehicle for providing the discipline necessary for effective shop floor control in integrated manufacturing systems

A Decision Support System for Ship Maintenance Capacity Planning

In this paper, the basic framework and algorithms of a decision support system are discussed, which enhance process and capacity planning at a large repair shop. The research is strongly motivated by experiences in a project carried out at a dockyard, which performs repair, overhaul and modification programs for various classes of navy ships. We outline the basic requirements placed upon order acceptance, process planning and capacity scheduling for large maintenance projects. In subsequent sections a number of procedures and algorithms to deal with these requirements, in particular a procedure for workload-based capacity planning, a database system to support process planning are developed, as well as a resource-constrained project scheduling system to support work planning at a more detailed level. The system has been designed to support decision making at the Navy Dockyard in particular, however, we believe that, due to its generic structure, it is applicable to a wide range of project-based manufacturing and maintenance environments

Strategy in Generative Planning of Turning Processes

This paper reports on the process and operations planning system ROUND and the strategies which underlie the decision making processes in the planning of turning operations. At first, an outline is given about the environment for which generative systems like ROUND are being developed. The differences between high volume production and job shop production, with respect to flexibility and productivity, are designated. The impact of automation on job shop production and its consequences for process and operations planning are discussed. In small batch manufacturing systems, relatively large amounts of process planning data have to be processed, which leads to an increasing interest for sophisticated computer aided process planning tools. Because available NC part programming systems usually do not support the generation of reliable and economic technological data, it is necessary to develop generative process and operation planning systems. Due to the relative complexity of the technological models, generative systems use a lot of computing power. Reduction of possible variants, combined with model refinement are techniques which are used in ROUND, in order to avoid excessive iteration. This is illustrated by the explanation of strategies which are implemented in two newly developed modules: The clamping module RNDFIX and the module for selection of tools for the roughing operation RNDRTL

A genetic algorithm approach to designing and modelling of a multi-functional fractal manufacturing layout

A dynamic and optimal shop floor design, modelling and implementation is key to achieving successful Fractal Manufacturing System (FrMS). To build adaptive and fault-tolerant fractal layout, attention is paid to issues of shop floor planning, function layout, determination of capacity level, cell composition planning and flow distances of products. A full fledged FrMS. layout is multi-functional and is capable of producing a variety of products with minimal reconfiguration. This paper is part and a progression of an on-going project whereby Genetic Algorithm (GA) is adopted to design and model a flexible and multi-functional FrMS floor layout. GA is used in the project for modeling and simulation. The design implementation is done using MATLAB. The result is a fault tolerant configuration that self-regulates and adapts to unpredictable changes in the manufacturing environment arising from lead time reduction pressure, inventories, product customization and other challenges of a dynamic and volatile operational environment

DSHOP: Distributed simple hierarchical ordered planner.

Planning has been an important subject in the area of Artificial Intelligence (AI) for over three decades. Planning is the problem of seeking a series of actions (that is, a plan) that will accomplish a desired goal. Most planning approaches rely on a single processor or a single-agent paradigm. Unfortunately, in a complex world, a single agent may not be sufficient to optimally solve the problem. Distributed Planning is a sub-field of Distributed AI that involves multi-agents working together to solve large planning problems. Distribution may speed up the traditional planning system through parallelism. Hierarchical Task Network (HTN) planning is an AI planning methodology that creates plans by task decomposition. SHOP (Simple Hierarchical Ordered Planner) is a domain-independent HTN planning system designed by Dana Nau et al. that plans for tasks in the same order that they will later be executed. This thesis aims at designing and implementing a distributed version of SHOP (that is, DSHOP) and running it on a high performance distributed system called SHARCNET. The implementation is based upon Message Passing Interface (MPI), that is, a library of functions used to achieve parallelism via message-passing. We investigate two approaches to share work between processors: state-copying and state-recomputation. We implemented a state-copying based DSHOP system (DSHOPC), and a state-recomputation based DSHOP system (DSHOPR). We compared these two implementations of DSHOP with the Java version of SHOP on a set of randomly generated artificial domains. A set of experimental results has been used to evaluate the performance of the DSHOP algorithm.Dept. of Computer Science. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .L83. Source: Masters Abstracts International, Volume: 43-01, page: 0240. Advisers: Scott Goodwin; Froduald Kabanza. Thesis (M.Sc.)--University of Windsor (Canada), 2004

DESIGN OF THE BEST SALES DETERMINATION SYSTEM IN BLITAR SOUVENIR SHOP USING SAW METHOD WITH WHITE BOX TESTING

O'o Dabli's shop is a shop that sells various kinds of typical Blitar products. The types of products sold by O'o Dabli's shop are various kinds of chili sauce, Blitar's typical snacks, drinks, Blitar's special crafts, Blitar's typical souvenir clothes, and so on. The products that are sold by this shop are predominantly selling types of food, there are various types of food here and if you want to make a purchase, sometimes we are confused to determine the type of product criteria. In a trading business, success in a company is inseparable from the role of strategy in sales. Improving the best service system in Blitar's Souvenir Shop is a process to recommend products to customers in a better way. So that service to customers is easier. The method used in the manufacture of a product sales system in a typical Blitar gift shop uses the saw method (simple additive weigthing). The reason for creating this system is because this system can provide benefits and advantages in decision makers to process data and information. This system uses white box testing or commonly referred to as glass box testing. This test is a philosophy that uses case test planning that uses a control structure that is described as part of designing a component device to produce test cases. The reason for creating this system is because this system can provide benefits and advantages in decision makers to process data and information. This system uses white box testing or commonly referred to as glass box testing. This test is a philosophy that uses case test planning that uses a control structure that is described as part of designing a component device to produce test cases. The reason for creating this system is because this system can provide benefits and advantages in decision makers to process data and information. This system uses white box testing or commonly referred to as glass box testing. This test is a philosophy that uses case test planning that uses a control structure that is described as part of the design of the component set to produce test cases

Computer Aided Inspection Planning For Automation Of On-Machine Inspection Of Customised Milling Parts

Customised products force manufacturing systems to operate efficient at batch size one. Automation in upstream processes and on shop floor increase productivity. Besides value-adding processes, quality management to sustain product quality must be considered regarding automation and consistency from 3D model to the execution on shop floor. Computer aided inspection planning addresses the automation of measurement operations. The inspection planning starts with a customised 3D model and realises a simple execution of the measurement task on shop floor level. A method for implementation of computer-aided inspection planning for tactile on-machine inspection will be presented to realise potentials like tool deviation and work piece correction based on measurement results. The developed method focuses on ensuring automation of computer aided inspection planning and sets up the basis for a self-controlling manufacturing system of customised milling parts. A validation was performed at a manufacturing company for customised drilling tools and enabled less downtime and rework time for milling machines

Directions of Production Planning & Production Control System: Mathematical Evolution from the Flexibility Point of View

Production Planning and Production Control systems are some of the keys that determine the development of modern production systems. The article presents the importance of a flexibility factor in the process of manufacturing, planning, and control systems development during the 20th century. Finally, actual problems and trends in the production system design and control over the design were perceived in addition to possible feasible directions of the development of manufacturing systems, probably in the 21st century were specified. Production planning and production control are usually painstaking to be one of the most noteworthy issues in the planning and operation of a manufacturing structure. A better planning system has a significant bang on cost reduction, increased productivity, customer satisfaction, and overall spirited improvement for a product. Also, the current customer demand for prominent diversity products has put into an increase in product complications that further lay emphasis on necessitates for superior planning. Proficient planning leads to the amplification in capability exploitation competence and, therefore, thereby reducing the operational time required to intact jobs and accordingly escalating the profitability of an organization in the current spirited environment. There are different systems of manufacturing, planning, and control for a job-shop together with flow-shop in which the jobs are to be a progression through a series of machines for an optimizing number of required performance measure

An expert system for project controls in construction management

In this paper, I describe an expert project control system for construction management. The purpose of the project is to develop methods and strategies for expert system based planning, scheduling, chronicling and analysis for construction management. Planning defines the actions required to accomplish a goal? scheduling links the plan into a frame of time? chronicling is monitoring job performance and analysis defines reevaluation of the plan as conditions change. Conditions are modeled as constraints and will be coded as rules. As conditions change, constraints must be dynamically modified by the system to accommodate the changes. The research is a combination of three related areas: a. Domain dependent hierarchical planning techniques. b. Model-based planning/scheduling techniques developed for the job-shop environment. c. Expert construction planning/scheduling techniques