scholarly journals Planning semi-automated precast production using GA

2020 ◽  
Vol 1 (1) ◽  
pp. 48-63
Author(s):  
Chen Chen ◽  
Thomas Phang ◽  
Lee Kong Tiong
Keyword(s):  
Production Planning ◽  
Production Line ◽  
New Technologies ◽  
Job Shop ◽  
The Body ◽  
Planning Method ◽  
Information Modeling ◽  
Planning Problem ◽  
Demand Forecast ◽  
Automated Production

Although fully automated production systems have been developed and used in some industry leaders, most of the precast factories have yet to be developed to that stage. Semi-automated production lines are still popularly used. As production productivity can be maximally improved within the physical constraints by applying a sound production plan, this paper tends to propose a production planning method for the semi-automated precast production line using genetic algorithm (GA). The production planning problem is formulated into a flexible job shop scheduling problem (FJSSP) model and solved using an integrated approach. Thanks to the development of new technologies such as building information modeling (BIM) platform and radio frequency identification (RFID), implementation of a just-in-time (JIT) schedule in the semi-automated precast production line becomes practicable on the grounds of risk mitigation and enhanced demand forecast capability. In this regard, the optimization objectives are minimum makespan, station idle time, and earliness and tardiness penalty. An example was applied to validate the integrated GA approach. The experimental results show that the developed GA approach is a useful and effective method for solving the problem that it can return high-quality solutions. This paper thus contributes to the body of knowledge new precast production planning method for practical usage.

scholarly journals Blockchain and Building Information Modeling (BIM): Review and Applications in Post-Disaster Recovery

Buildings ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 149 ◽  
Author(s):  
Nawari Nawari ◽  
Shriraam Ravindran
Keyword(s):  
Disaster Recovery ◽  
Data Exchange ◽  
Building Information Modeling ◽  
New Technologies ◽  
Integrated System ◽  
The Body ◽  
Information Modeling ◽  
Future Research ◽  
Building Information ◽  
Post Disaster

Blockchain Technology (BCT) is a growing digital technology that in recent years has gained widespread traction in various industries in the public and private sectors. BCT is a decentralized ledger that records every transaction made in the network, known as a ‘block’, the body of which is comprised of encrypted data of the entire transaction history. BCT was introduced as the working mechanism that forms the operational basis of Bitcoin, the first digital cryptocurrency to gain mainstream appeal. The introduction of decentralized data exchange technology in any industry would require strengthened security, enforce accountability, and could potentially accelerate a shift in workflow dynamics from current centralized architectures to a decentralized, cooperative chain of command and affect a cultural and societal change by encouraging trust and transparency. BCT aims at creating a system that would offer a robust self-regulating, self-monitoring, and cyber-resilient data transaction operation, assuring the facilitation and protection of a truly efficient data exchange system. In the state of Florida, climate change and unpredicted weather disasters have put pressure on state and local decision-makers to adapt quick and efficient post-disaster recovery systems. Part of the recovery efforts is the reconstruction of buildings and infrastructure. The introduction of new technologies in the Architecture, Engineering, and Construction (AEC) industry can contribute to addressing recovery and rebuilding after the event of a natural disaster. With parallel technological advancement in geospatial data and Geographic Information System (GIS), as well as worsening climatic conditions, concerns can be suitably addressed by employing an integrated system of both Building Information Modeling (BIM) and BCT. While several potential applications of BIM must provide solutions to disaster-related issues, few have seen practical applications in recent years that indicate the potential benefits of such implementations. The feasibility of BIM-based applications still rests on the reliability of connectivity and cyber-security, indicating a strong use case for using BCT in conjunction with BIM for post-disaster recovery. This research depicts a survey of BCT and its applications in the Architecture, Engineering, and Construction (AEC) industries and examines the potential incorporation within the BIM process to address post-disaster rebuilding problems. Moreover, the study investigates the potential application of BCT in improving the framework for automating the building permitting process using Smart Contract (SC) technologies and Hyperledger Fabric (HLF), as well as discussing future research areas. The study proposes a new conceptualized framework resulting from the integration of BCT and BIM processes to improve the efficiency of building permit processes in post-disaster events.

scholarly journals Adaptive Large Neighborhood Search for a Production Planning Problem Arising in Pig Farming

2019 ◽  
Vol 5 (2) ◽  
pp. 26 ◽  
Author(s):  
Nat Praseeratasang ◽  
Rapeepan Pitakaso ◽  
Kanchana Sethanan ◽  
Sasitorn Kaewman ◽  
Paulina Golinska-Dawson
Keyword(s):  
Ant Colony Optimization ◽  
Production Planning ◽  
Production Line ◽  
Large Scale ◽  
Ant Colony ◽  
Computational Time ◽  
Neighborhood Search ◽  
Planning Problem ◽  
Data Sets

This article aims to resolve a particular production planning and workforce assignment problem. Many production lines may have different production capacities while producing the same product. Each production line is composed of three production stages, and each stage requires different periods of times and numbers of workers. Moreover, the workers will have different skill levels which can affect the number of workers required for production line. The number of workers required in each farm also depends on the amount of pigs that it is producing. Production planning must fulfill all the demands and can only make use of the workers available. A production plan aims to generate maximal profit for the company. A mathematical model has been developed to solve the proposed problem, when the size of problem increases, the model is unable to resolve large issues within a reasonable timeframe. A metaheuristic method called adaptive large-scale neighborhood search (ALNS) has been developed to solve the case study. Eight destroy and four repair operators (including ant colony optimization based destroy and repair methods) have been presented. Moreover, three formulas which are used to make decisions for acceptance of the newly generated solution have been proposed. The present study tested 16 data sets, including the case study. From the computational results of the small size of test instances, ALNS should be able to find optimal solutions for all the random data sets in much less computational time compared to commercial optimization software. For medium and larger test instance sizes, the findings of the heuristics were 0.48% to 0.92% away from the upper bound and generated within 480–620 h, in comparison to the 1 h required for the proposed method. The Ant Colony Optimization-based destroy and repair method found solutions that were 0.98 to 1.03% better than the original ALNS.

Novel three-dimensional optimal path planning method for vehicles with constrained pitch and yaw

Robotica ◽  
2016 ◽  
Vol 35 (11) ◽  
pp. 2157-2176 ◽  
Author(s):  
B. Wehbe ◽  
S. Bazzi ◽  
E. Shammas
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Three Dimensional ◽  
Vertical Motion ◽  
The Body ◽  
Planning Method ◽  
Optimal Trajectories ◽  
Planning Problem ◽  
Body Frame ◽  
Time Optimal

SUMMARYThis paper presents a novel method for generating three-dimensional optimal trajectories for a vehicle or body that moves forward at a constant speed and steers in both horizontal and vertical directions. The vehicle's dynamics limit the body-frame pitch and yaw rates; additionally, the climb and decent angles of the vehicle are also bounded. Given the above constraints, the path planning problem is solved geometrically by building upon the two-dimensional Dubins curves and then Pontryagin's Maximum Principle is used to validate that the proposed solution lies within the family of candidate time-optimal trajectories. Finally, given the severe boundedness constraints on the vertical motion of the system, the robustness of the proposed path planning method is validated by naturally extending it to remain applicable to high-altitude final configurations.

Living with Barren Truths: A Tale of Triumphalism and Tribulations of a Technology

2021 ◽  
pp. 097168582110159
Author(s):  
Sital Mohanty ◽  
Subhasis Sahoo ◽  
Pranay Kumar Swain
Keyword(s):  
Gender Discrimination ◽  
New Technologies ◽  
The Body ◽  
Social Scientists ◽  
Social Fact ◽  
Science Technology ◽  
The Subject ◽  
And Gender ◽  
The Relationship

Science, technology and human values have been the subject of enquiry in the last few years for social scientists and eventually the relationship between science and gender is the subject of an ongoing debate. This is due to the event of globalization which led to the exponential growth of new technologies like assisted reproductive technology (ART). ART, one of the most iconic technological innovations of the twentieth century, has become increasingly a normal social fact of life. Since ART invades multiple human discourses—thereby transforming culture, society and politics—it is important what is sociological about ART as well as what is biological. This article argues in commendation of sociology of technology, which is alert to its democratic potential but does not concurrently conceal the historical and continuing role of technology in legitimizing gender discrimination. The article draws the empirical insights from local articulations (i.e., Odisha state in eastern India) for the understandings of motherhood, freedom and choice, reproductive right and rights over the body to which ART has contributed. Sociologically, the article has been supplemented within the broader perspectives of determinism, compatibilism alongside feminism.

Production Planning Method for Supporting Processing Business in Petrochemistry

2001 ◽  
Vol 34 (8) ◽  
pp. 439-444
Author(s):  
Cornel Resteanu ◽  
Electra Mitan ◽  
Simion Masei
Keyword(s):  
Production Planning ◽  
Planning Method

scholarly journals Multiobjective Joint Optimization of Production Scheduling and Maintenance Planning in the Flexible Job-Shop Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jianfei Ye ◽  
Huimin Ma
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Preventive Maintenance ◽  
Production Scheduling ◽  
Job Shop ◽  
Joint Optimization ◽  
Planning Problem ◽  
Flexible Job Shop ◽  
Maintenance Planning ◽  
Joint Decision

In order to solve the joint optimization of production scheduling and maintenance planning problem in the flexible job-shop, a multiobjective joint optimization model considering the maximum completion time and maintenance costs per unit time is established based on the concept of flexible job-shop and preventive maintenance. A weighted sum method is adopted to eliminate the index dimension. In addition, a double-coded genetic algorithm is designed according to the problem characteristics. The best result under the circumstances of joint decision-making is obtained through multiple simulation experiments, which proves the validity of the algorithm. We can prove the superiority of joint optimization model by comparing the result of joint decision-making project with the result of independent decision-making project under fixed preventive maintenance period. This study will enrich and expand the theoretical framework and analytical methods of this problem; it provides a scientific decision analysis method for enterprise to make production plan and maintenance plan.

Trend in Sustainability of Facility Design and Production Planning in Manufacturing

2012 ◽  
Vol 229-231 ◽  
pp. 2562-2566
Author(s):  
Seyed Ali Hosseini ◽  
Amin Nosratabadi ◽  
Taravatsadat Nehzati ◽  
Napsiah Binti Ismail
Keyword(s):  
Production Planning ◽  
Manufacturing System ◽  
New Technologies ◽  
Sustainable Manufacturing ◽  
Current Trend ◽  
Critical Issue ◽  
Major Elements ◽  
Facility Design ◽  
Sustainability Concept ◽  
Design And Production

The sustainability concept today is at the front lines of new technologies in manufacturing, products and work methodology. Be a sustainable manufacturer is critical issue to the future of manufacturing system. Various efforts have been conducted around the world to ensure the sustainability of manufacturing system. This study addresses current trend in sustainable manufacturing by focus on two major elements, which are facility design and production planning. Critical challenges are listed and future trends have been discussed.

Sign in / Sign up

Export Citation Format

Share Document