Alternative Shop-Floor Re-Layout Design due to Dynamic Operation Changes

2011 ◽  
Author(s):  
Lihui Wang
Keyword(s):  
Material Handling ◽  
Job Shop ◽  
Shop Floor ◽  
Layout Problem ◽  
Dynamic Nature ◽  
Manufacturing Operations ◽  
Job Shop Operations ◽  
Function Blocks ◽  
The Cost ◽  
Dynamic Job Shop

The turbulent environment of dynamic job-shop operations affects shop-floor layout as well as manufacturing operations. Due to the dynamic nature of shop-floor layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues for material handling and machine relocation when reconfiguring a shop floor’s layout. Here, based on the source of uncertainty, the shop floor layout problem is split into two sub-problems and dealt with by two modules: re-layout and find-route. Genetic algorithm is used where changes may cause a re-layout of the entire shop, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. This paper reports the latest development to the author’s previous work.

Function Block Design to Enable Adaptive Job Shop Operations

2007 ◽  
Author(s):  
Lihui Wang ◽  
Hsi-Yung Feng ◽  
Changjin Song ◽  
Wei Jin
Keyword(s):  
Job Shop ◽  
Block Design ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
New Approach ◽  
Process Plan ◽  
Function Block ◽  
Job Shop Operations ◽  
Function Blocks ◽  
Block Based

Small volume and high product-mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tool, and even machine breakdown. Targeting the uncertainty, we propose a function block based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.

Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty

2006 ◽  
Author(s):  
Lihui Wang ◽  
Ningxu Cai ◽  
Hsin-Yung Feng
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Layer Structure ◽  
Dynamic Decision Making ◽  
Machining Process ◽  
Operation Planning ◽  
Planning Approach ◽  
Job Shop Operations ◽  
Function Blocks ◽  
Distributed Process

This paper presents an overview of our DPP (distributed process planning) approach, covering DPP concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring enabled by the function blocks. A two-layer structure of Supervisory Planning and Operation Planning is proposed in DPP to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at shop level, whereas the operation planning is carried out at runtime at machine level. This dynamic decision-making is facilitated by a set of resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the paper. The DPP approach and algorithms are further verified through a case study before drawing conclusions. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

The Ratio-Delay Method of the Manufacturing System Analysis

2015 ◽  
Vol 770 ◽  
pp. 641-644
Author(s):  
Kseniya T. Sattarova ◽  
Victoria V. Kokareva ◽  
Nikolay D. Pronichev
Keyword(s):  
Labor Productivity ◽  
Manufacturing System ◽  
System Analysis ◽  
Job Shop ◽  
Shop Floor ◽  
Lean Management ◽  
Engineering Project ◽  
Technical Data ◽  
Manufacturing Operations ◽  
Improvement Measures

This paper describes the application of a ratio-delay to a study of operations of mechanical Job-Shop production in Samara factory. To analyze the operations efficiency it may be necessary to obtain organizational and technical data in each job stages. In fact, ratio-delay is an effective tool to determine direct labor productivity for shop floor activities. In the context of manufacturing operations, ratio-delay can determine productivity levels as a baseline that provides focus for new “industrial engineered” improvement measures of complex re-engineering project or lean management.

Overview of an Adaptive Setup Planning Approach for Job Shop Operations

2009 ◽  
Author(s):  
Lihui Wang
Keyword(s):  
Decision Making ◽  
Job Shop ◽  
Planning System ◽  
Shop Floor ◽  
Setup Planning ◽  
Planning Stage ◽  
Planning Approach ◽  
Job Shop Operations

This paper presents an overview of an adaptive setup planning system that considers both the availability and capability of machines on a shop floor. It integrates scheduling functions at setup planning stage, and utilizes a two-step decision-making strategy for generating machine-neutral and machine-specific optimal setup plans. The objective is to enable adaptive setup planning for dynamic machining job shop operations. Particularly, this paper documents basic algorithms and architecture of the setup planning system for dynamically assigned machines. It is then validated through a case study.

PERBAIKAN TATA LETAK LANTAI PRODUKSI INDUSTRI MEBEL MENGGUNAKAN METODE GRAFIK DAN ALGORITMA CRAFT

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Kuswanto Kuswanto ◽  
Juan Junius ◽  
Anita Christine Sembiring
Keyword(s):  
Operating System ◽  
Material Handling ◽  
Facility Layout ◽  
Integrated Planning ◽  
Furniture Manufacturing ◽  
Milling Machines ◽  
Material Handling Costs ◽  
The Cost ◽  
A Company ◽  
Research Show

Facility layout is integrated planning of the flow of a product in an operating system to obtain the most effective and efficient interrelation between workers, materials, machinery, and equipment as well as handling and transferring materials. A company engaged in furniture manufacturing has a problem in its production process, namely, the distance between machines is too far so that it affects the cost of handling materials. Distant workstations are found on profile machines, milling machines, measuring machines, cutting machines. Therefore, improvements must be made to the layout of facilities on the production floor so that facility layout is efficient and material handling costs are reduced. The problem-solving approach used is the Graph Method and CRAFT Algorithm. The results of the research show that material handling costs are reduced by 7.58% or Rp. 17,765 using the CRAFT algorithm.

scholarly journals Data-Driven Dispatching Rules Mining and Real-Time Decision-Making Methodology in Intelligent Manufacturing Shop Floor with Uncertainty

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4836
Author(s):  
Liping Zhang ◽  
Yifan Hu ◽  
Qiuhua Tang ◽  
Jie Li ◽  
Zhixiong Li
Keyword(s):  
Decision Making ◽  
Data Base ◽  
Real Time ◽  
Manufacturing Industry ◽  
Job Shop ◽  
Data Driven ◽  
Dispatching Rules ◽  
Shop Floor ◽  
Production Data ◽  
Online Decision Making

In modern manufacturing industry, the methods supporting real-time decision-making are the urgent requirement to response the uncertainty and complexity in intelligent production process. In this paper, a novel closed-loop scheduling framework is proposed to achieve real-time decision making by calling the appropriate data-driven dispatching rules at each rescheduling point. This framework contains four parts: offline training, online decision-making, data base and rules base. In the offline training part, the potential and appropriate dispatching rules with managers’ expectations are explored successfully by an improved gene expression program (IGEP) from the historical production data, not just the available or predictable information of the shop floor. In the online decision-making part, the intelligent shop floor will implement the scheduling scheme which is scheduled by the appropriate dispatching rules from rules base and store the production data into the data base. This approach is evaluated in a scenario of the intelligent job shop with random jobs arrival. Numerical experiments demonstrate that the proposed method outperformed the existing well-known single and combination dispatching rules or the discovered dispatching rules via metaheuristic algorithm in term of makespan, total flow time and tardiness.

Research and Design on Workshop Job Management System Based on Web Electronic Digital Signage

2013 ◽  
Vol 816-817 ◽  
pp. 1181-1184
Author(s):  
Da Wei Dong
Keyword(s):  
Operations Management ◽  
Management System ◽  
Job Shop ◽  
Production Costs ◽  
Shop Floor ◽  
Digital Signage ◽  
Job Management ◽  
Business Efficiency ◽  
Job Management System ◽  
Manufacturing Productivity

The workshop job management system for improving manufacturing productivity and workshop information management plays an important role, while the electronic digital signage is seen as the core of shop floor control system. In this paper, the traditional electronic signage is proposed based on a new electronic digital signage network design, and its integration into the shop floor management systems. This paper developed job shop management system based on web electronic digital signage, the effective integration of existing hardware and software resources of the workshop, rational allocation of production resources of the workshop, the workshop production operations management to achieve digital control, reducing the workshop production costs, improve business efficiency. This paper presents the design of specific methods, and the establishment of a specific management model.

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