scholarly journals Reactive Scheduling Based on Adaptive Manipulator Operations in a Job Shop Configuration with Two Machines

2021 ◽  
Vol 15 (5) ◽  
pp. 661-668
Author(s):  
Ryo Yonemoto ◽  
◽  
Haruhiko Suwa
Keyword(s):  
Machine Tools ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Job Shop ◽  
Machining Processes ◽  
Operation Sequence ◽  
Machine Failure ◽  
Operation Schedule ◽  
Two Machines

Manufacturing systems are affected by uncertainties, such as machine failure or tool breakage, which result in system downtime and productivity deterioration. In machining processes, system downtime must be reduces. This study aims to establish an automated scheduling technique that flexibly responds to unforeseen events, such as machine failure, based on adaptive operations of the handling manipulator instead of an operation schedule for the machine tools. We propose an “adaptive manipulation” procedure for establishing a reactive revision policy. The reactive revision policy modifies a portion of the manipulator operation sequence, followed by the machine operation sequence. We conduct a physical scheduling simulation on a material-handling manipulator system imitating a job-shop manufacturing system. Through simulations involving machine breakdown scenarios, the applicability of the reactive revision policy based on adaptive manipulation is demonstrated.

DECISION SUPPORT FOR A SUSTAINABLE PRODUCTION IN JOB SHOP MANUFACTURING SYSTEMS

10.6036/9917 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 455-459
Author(s):  
MAHDI NADERI ◽  
ANTONIO FERNÁNDEZ ULLOA ◽  
JOSÉ ENRIQUE ARES GÓMEZ ◽  
GUSTAVO PELÁEZ LOURIDO
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Sustainable Production ◽  
Ease Of Use ◽  
Manufacturing Companies ◽  
Strategic Decisions ◽  
Production Environments

Despite the growing importance that is being given to the concepts of sustainability in many areas, not only in industry but also in the economy and public opinion in general, until now, most research has focused, practically, on the analysis of the concepts, but has not addressed, in a comprehensive way, its impact in decision making probably due to the complex relations of interdependence between its different aspects. In this context, MAPSAM (Methodology for the Assessment of Sustainability in Manufacturing Processes and Systems) was created to help the decision-making process, allowing a conscious and transparent assessment by administrators and managers at the different levels of the structure of companies and organisations. This article explains its development and application in a "job shop" type manufacturing system with an approach that allows the integration of economic, environmental and social criteria. MAPSAM is based on the use of various techniques and tools to quantify the importance of each aspect of sustainability and it has been applied in other production environments, being implemented in different systems, analysing their ease of use and evaluating their behaviour. The objective is to show how it helps to make operational, tactical and strategic decisions in the management on these type of manufacturing companies and, specifically, in this contribution we want to highlight its versatility and applicability, by validating it in a certain type of layout. With this new application, MAPSAM increases its possibilities as an innovative instrument that allows companies to make conscious and sustainable decisions in order to be more efficient, fair, supportive and respectful of the environment. Keywords: Manufacturing System, Simulation, Decision Support, Sustainable Production, Decision-Making

scholarly journals A New Meta-Heuristic Algorithm for Solving the Flexible Dynamic Job-Shop Problem with Parallel Machines

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 165 ◽  
Author(s):  
Arun Sangaiah ◽  
Mohsen Suraki ◽  
Mehdi Sadeghilalimi ◽  
Seyed Bozorgi ◽  
Ali Hosseinabadi ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Parallel Machines ◽  
Job Shop ◽  
Two Dimensional ◽  
Scheduling Problems ◽  
Operational Flexibility ◽  
Machine Failure ◽  
Different Dimensions ◽  
First Time ◽  
Dynamic Job Shop

In a real manufacturing environment, the set of tasks that should be scheduled is changing over the time, which means that scheduling problems are dynamic. Also, in order to adapt the manufacturing systems with fluctuations, such as machine failure and create bottleneck machines, various flexibilities are considered in this system. For the first time, in this research, we consider the operational flexibility and flexibility due to Parallel Machines (PM) with non-uniform speed in Dynamic Job Shop (DJS) and in the field of Flexible Dynamic Job-Shop with Parallel Machines (FDJSPM) model. After modeling the problem, an algorithm based on the principles of Genetic Algorithm (GA) with dynamic two-dimensional chromosomes is proposed. The results of proposed algorithm and comparison with meta-heuristic data in the literature indicate the improvement of solutions by 1.34 percent for different dimensions of the problem.

And The World Came To See: New Manufacturing System Designs and Industrial Revolutions

2002 ◽  
Author(s):  
J. T. Black ◽  
David S. Cochran
Keyword(s):  
System Design ◽  
Systems Engineering ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Flow Shop ◽  
The World ◽  
Industrial Revolutions ◽  
New System

AND THE WORLD CAME TO SEE. When a new manufacturing system design (MSD) is developed by a company or a group of companies, the rest of the world comes to those factories to learn about the new system. In the last 200 years, three new factory designs have evolved, called the job shop, the flow shop and the lean shop. Each is based on a new system design — a functional design, a product flow design and a linked cell design. New factory designs lead to new industrial leaders and even new industrial revolutions (IR’s). Two appendixes are included: One outlines the implementation strategy for the lean shop and the other is a discussion of lean manufacturing from the viewpoint of K. Hitomi, Japanese professor of manufacturing systems engineering.

Analysis of Flow Control in Alternative Manufacturing Configurations

1980 ◽  
Vol 102 (3) ◽  
pp. 141-147 ◽  
Author(s):  
J. J. Solberg ◽  
S. Y. Nof
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Queueing Network ◽  
Process Time ◽  
Process Selection ◽  
Transport Time ◽  
Computerized Manufacturing ◽  
Product Layout ◽  
The Impact

A mathematical model of workflow, based on queueing network theory, is used to compare the performance of four alternative layout configurations for manufacturing systems: a product layout (or flowshop), a process layout (or job shop), and two layouts which have been used in computerized manufacturing system. It is shown that, under appropriate conditions, any one of the four layouts could be the preferred choice. The impact of part mix, process selection, and the ratio of mean process time to mean transport time on the layout design are revealed and quantified.

Reliability Analysis of Parallel Manufacturing Systems with Two Machines

1979 ◽  
Vol 101 (3) ◽  
pp. 250-254 ◽  
Author(s):  
K. Hitomi ◽  
M. Nakajima ◽  
N. Takahashi
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cutting Tools ◽  
Reliability Theory ◽  
Continuous Operation ◽  
Time Interval ◽  
Time To Failure ◽  
Constant Rate ◽  
Tool Replacement ◽  
Two Machines

A stochastic mathematical model was built and analyzed by using the reliability theory for a manufacturing system in which two machines are arranged in parallel. Under the condition that the system is required to be operated at a constant rate of production, the variation of reliability and failure rate of cutting tools with the lapse of time were investigated, using the stress-strength model in failure physics. A time interval of tool replacement in the continuous operation and a time to failure for a manufacturing system which is composed of two lathes were also investigated.

Characteristics Analysis of Flexible Manufacturing Systems

2013 ◽  
Vol 329 ◽  
pp. 172-175
Author(s):  
Jin Feng Wang ◽  
Guang Feng Zhang ◽  
Xian Zhang Feng
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Manufacturing System ◽  
Learning System ◽  
Machining Process ◽  
Characteristics Analysis

For the rigid automatic line, although its production efficiency is high, but the flexible is less in the machining process, the machine and the assembly line need be shut down to adjust or replace for machine tools, jigs, tools, and tooling equipment, etc. When the work pieces for the machining is changed. It caused a heavy workload, wasting a lot of time. Flexible Manufacturing Systems consisted of unified control system, material handling system and a set of digital control processing equipment; it is the automation machinery manufacturing system to adapt the processing object transform. It has become one of the important means of manufacturing industry to obtain the advantages of market competitiveness. This paper gives the composition, algorithm and application of learning system concept, composition, and classification, characteristics of the flexible manufacturing system, the development overview and its application are induced in this paper.

scholarly journals AVANCES EN EL DESARROLLO DE UN SISTEMA DE MANUFACTURA ADITIVA BASADO EN STEP-NC

2018 ◽  
Vol 4 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Efrain Rodriguez ◽  
Renan Bonnard ◽  
Alberto José Alvares
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Reference Model ◽  
Object Oriented Programming ◽  
Numerical Control ◽  
Layer By Layer ◽  
Machining Processes ◽  
Material Deposition ◽  
Nc Program

The new standard of numerical control, known as STEP-NC, is categorized as the future of the advanced manufacturing systems. Greater flexibility and interoperability are some potential benefits offered by STEP-NC to meet the challenges of the new industrial landscape that is envisaged with the advent of Industry 4.0. Meanwhile, STEP-NC object-oriented programming has been partially applied and developed for machining processes (milling, turning...). But with the processes of additive manufacturing has not happened the same and the development is still incipient. This work presents the advances in the development of a new STEP-NC compliant additive manufacturing system, focusing particularly on the development of the information model. The application model activities in the IDEF0 nomenclature and application reference model in EXPRESS are presented. The AM-layer-feature concept has been introduced to define the manufacturing feature of additive processes based on material deposition layer-by-layer. Finally, a STEP-NC program generated from the EXPRESS model is presented, which can be implemented on an additive manufacturing system to validate the proposed model.                                                                                           

Scheduling-Based Adaptive Operations of Handling Manipulators to Reduce Downtime in Manufacturing Systems

2020 ◽  
Author(s):  
Ryo Yonemoto ◽  
Haruhiko Suwa
Keyword(s):  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Machine Breakdowns ◽  
Physical Experiments ◽  
Scheduling Method ◽  
Catch Up ◽  
Automatic Scheduling

Abstract Unexpected interruptions in manufacturing such as machine breakdowns often incur degradation of productivity. This study aims to build an automatic scheduling method that responds to the occurrence of uncertain events flawing a schedule and catch up the planned schedule as quickly as possible. We here focus on building adaptive operations of a material handling robot according to the predetermined schedule revision policy to cope with uncertainties and to reduce the total downtime of the manufacturing system. The applicability of the proposed method is demonstrated through physical experiments.

scholarly journals Job shop scheduling considering material handling process

2018 ◽  
Vol 204 ◽  
pp. 07008
Author(s):  
Eka K.A. Pakpahan ◽  
Sonna Kristina ◽  
Ari Setiawan ◽  
Evelin Merlians
Keyword(s):  
Flexible Manufacturing ◽  
Material Handling ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Raw Material ◽  
Shop Scheduling ◽  
Material Handling Equipment ◽  
The Impact

This paper discussed job shop scheduling considering material handling process. This process is a very important aspect on a flexible manufacturing system, where raw material or semi-finished goods are delivered from one processing point unto another by utilizing automated material handling equipment, functioned as shared resources. The starting time of each process is affected by the ability of the material handling equipment to conduct timely delivery from one point to another, therefore considering this process unto scheduling is important to enable planner to get precise estimation of the process makespan. We take the case where the flexible manufacturing system is consisted of four identical machines; each has the capability of processing various jobs due to the various cutting tools installed on their tools magazine. Jobs are dispatched based on longest processing time rule and then allocated to machine which has minimum load. Being a shared resource, material handling equipment has pick-up and delivery priority rule when handling multiple requests. The two most common rules are longest waiting and closest entity. This paper will analyzed the impact of each rule to the process makespan and material handling equipment utilization. Simulation model were built using Promodel to give decision maker better visualization of the system under consideration.

Investigating the Flexibility of a Hybrid Manufacturing System Using Simulation Approach

2013 ◽  
Vol 465-466 ◽  
pp. 672-676
Author(s):  
Ping Yu Chang
Keyword(s):  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Simulation Models ◽  
Setup Time ◽  
Simulation Approach ◽  
Key Characteristics ◽  
Manufacturing System Design ◽  
Demand Fluctuations ◽  
Manufacturing Environments

Different designs of manufacturing systems are adopted in industry today. A good manufacturing design should be flexible to compensate for uncertainties such as demand fluctuations and machine breakdowns. A new conceptual manufacturing system called Multi-Channel Manufacturing (MCM) is expected to provide flexibility and efficiency under uncertainties. This paper proposes the first approach to address the usefulness of MCM. This research tries to identify the key characteristics of MCM and the manufacturing environments for which MCM should perform well. Through simulation models, different manufacturing scenarios are analyzed and a suitable manufacturing system design for each scenario is identified. The simulation results illustrate that with limited material handling capacity and opportunities for setup time reduction, MCM can outperform other manufacturing formations.

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