SOFTWARE ARCHITECTURE FOR A MULTI-SITE PRODUCTION PLANNING AND CONTROL

2005 ◽  
Vol 02 (01) ◽  
pp. 33-55 ◽  
Author(s):  
WHEY SEEN HEAH ◽  
MOHAMED KHALED OMAR

In order to gain competitive advantage in the globalization today, effective management strategies need to be incorporated, especially in collaborating information sharing among multi-site manufacturing facilities. Information visibility within the supply chain is the process of sharing critical data required to manage the flow of products, services, and information in real time between suppliers and customers. If the information is available but cannot be accessed by the parties most able to react to a given situation, its value degrades drastically. We propose a software system, which incorporates mathematical models, user-interface and web application to solve the collaborative planning problems between multiple sites. Model validations proved the architecture to be robust and suggested cost savings through priority goal structuring. This paper offers a practical solution to real-life industrial problems often faced by the management of manufacturing industry in the world today.

2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.


Author(s):  
José A. Fernández-León ◽  
Gerardo G. Acosta ◽  
Miguel A. Mayosky ◽  
Oscar C. Ibáñez

This work is intended to give an overview of technologies, developed from an artificial intelligence standpoint, devised to face the different planning and control problems involved in trajectory generation for mobile robots. The purpose of this analysis is to give a current context to present the Evolutionary Robotics approach to the problem, which is now being considered as a feasible methodology to develop mobile robots for solving real life problems. This chapter also show the authors’ experiences on related case studies, which are briefly described (a fuzzy logic based path planner for a terrestrial mobile robot, and a knowledge-based system for desired trajectory generation in the Geosub underwater autonomous vehicle). The development of different behaviours within a path generator, built with Evolutionary Robotics concepts, is tested in a Khepera© robot and analyzed in detail. Finally, behaviour coordination based on the artificial immune system metaphor is evaluated for the same application.


Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2903 ◽  
Author(s):  
Chanyoung Jung ◽  
Daegyu Lee ◽  
Seungwook Lee ◽  
David Hyunchul Shim

In recent years, research concerning autonomous driving has gained momentum to enhance road safety and traffic efficiency. Relevant concepts are being applied to the fields of perception, planning, and control of automated vehicles to leverage the advantages offered by the vehicle-to-everything (V2X) communication technology. This paper presents a V2X communication-aided autonomous driving system for vehicles. It is comprised of three subsystems: beyond line-of-sight (BLOS) perception, extended planning, and control. Specifically, the BLOS perception subsystem facilitates unlimited LOS environmental perception through data fusion between local perception using on-board sensors and communication perception via V2X. In the extended planning subsystem, various algorithms are presented regarding the route, velocity, and behavior planning to reflect real-time traffic information obtained utilizing V2X communication. To verify the results, the proposed system was integrated into a full-scale vehicle that participated in the 2019 Hyundai Autonomous Vehicle Competition held in K-city with the V2X infrastructure. Using the proposed system, the authors demonstrated successful completion of all assigned real-life-based missions, including emergency braking caused by a jaywalker, detouring around a construction site ahead, complying with traffic signals, collision avoidance, and yielding the ego-lane for an emergency vehicle. The findings of this study demonstrated the possibility of several potential applications of V2X communication with regard to autonomous driving systems.


1995 ◽  
Vol 1 (4) ◽  
pp. 341-363 ◽  
Author(s):  
Stephen R. Lawrence ◽  
Arnold H. Buss

The management of bottlenecks has become a central topic in the planning and control of production systems. In this paper, we critically analyze bottlenecks from an economic perspective. Using a queueing network model, we demonstrate that bottlenecks are inevitable when there are differences in job arrival rates, processing rates, or costs of productive resources. These differences naturally lead to the creation of bottlenecks both for facilities design and demand planning problems. To evaluate bottlenecks from an economic perspective, we develop the notion of an “economic bottleneck,” which defines resources as bottlenecks based on economic, rather than physical, characteristics.


Author(s):  
Sara Mazzilli ◽  
Annunziata Dattola ◽  
Tania Gaetana Costanza ◽  
Augusto Orlandi ◽  
Katia Aquilano ◽  
...  

Background: Dimethylfumarate (DMF) is an orally administered fumaric acid esters (FAE) approved for plaque psoriasis. The most represented adverse event for incidence reported in all studies regarding multiple sclerosis and psoriasis treatment was flushing followed by gastrointestinal and lymphopenia (AEs). We report our experience on effective management strategies in patients with dimethylfumarate fushing induced. Methods: The purpose of our study is addressed to propose feasibles strategies able to mitigate adverse events developing in order to improve therapy compliance. We report our real life experience of 20 patients affected by mild to moderate plaque psoriasis in treatement with DMF 10 male and 10 female, with 45,4 years old mean age underwent to a reducing a daily dosage regimen with DMF from 120 mg to 30 mg tablets. Patients experience flushing around 30-45 minutes after assuming the medication.per day. Results: Patients achieving a good adherence and efficacious results in terms of PASI 75 reduction after 16 weeks of treatment. Conclusion: DMF is efficacious and has a favorable benefit–risk profile, thanks to the possibility of implementing posology strategies in order to optimize adherence to the therapy.


1968 ◽  
Vol 72 (689) ◽  
pp. 423-430
Author(s):  
P. A. Norman

Summary This paper presents basic disciplines for effective management of costs for profitable operation in technologically orientated industries. The techniques outlined for strategic planning, implementation of the ensuing plan and for operational planning and control are not new, but available and proven by wide application in the USA and to a lesser extent in the UK. The adoption of these or similar disciplines in the UK aerospace industry in co-operation with the Government in defining industry objectives and strategic plans, could represent a big step towards promoting a healthy and expanding industry for the future. Application of these techniques will present difficulties in the aerospace industry, but by their very nature should yield an immense return in this environment. There would appear to be no insuperable difficulties in achieving successful application by both Government and Industry. Since the 1967 Management Studies Group Symposium showed a strong demand for information on these techniques, and because no single source document can be recommended, the preparation of this survey has been undertaken.


2019 ◽  
Vol 16 (3) ◽  
pp. 436-447 ◽  
Author(s):  
Raquel Mello ◽  
Bernd Hellingrath ◽  
Roberto Antonio Martins

Goal: To analyze supply chain flexibility (SCF) within real-life settings from a maturity perspective and provide a discussion on the importance of a maturity model for SCF. Design/Methodology/Approach: A multiple case study was conducted in multinational manufacturing companies from different business sectors, offering a within-case and cross-case analysis. Results: The empirical evidence revealed that the studied companies do not consider flexibility measures. This absence renders difficulties when striving for external flexibility, for instance, affecting planning and control activities. Furthermore, the conducted analysis showed that sharing information among supply chain members has a significant impact on the identification of changes in the processes, enabling a correct and quick reaction to these changes. Limitations of the investigation: The results are restricted to the studied companies; therefore, the SCF maturity model deserves more application through the development of more empirical investigations. Practical implications: This is a guide for practitioners to identify the current maturity level of their SCF, and subsequently improve the processes, aiming to achieve the desired result. Originality/Value: This paper addresses the lack of theoretical and empirical studies in the literature regarding the analysis of SCF maturity and its different levels, thus enabling practitioners and researchers to improve the understanding of maturity in the SCF context.


2016 ◽  
Vol 7 (2) ◽  
pp. 136-148 ◽  
Author(s):  
Seyed Mojib Zahraee

Purpose Lean manufacturing (LM) practices and tools are among the key concepts that assist managers and engineers sustain competitiveness in an expanding global market. The purpose of this paper is to identify effective practices and tools of lean manufacturing implementation in an Iranian manufacturing industry. Design/methodology/approach This study used a quantitative method. Stratified random sampling and self-administrated questionnaires were sent to respondents in an Iranian manufacturing industry. Findings The final results indicate that processes and equipment, planning and control, supplier relationship, human resources and customer relations are significant practices in lean manufacturing in Iranian manufacturing factories. The results from this survey additionally show that lean tools such as Kaizen, 5S, setup time reduction, cellular manufacturing, continuous flow, equipment layout, product design simplicity and error proof equipment are crucial to lean manufacturing implementation. Research limitations/implications This study focused solely on a manufacturing industry in Iran that deals with electrical, electronic, metal, plastic, rubber and other automotive components. Practical implications The findings of this study emphasize some implications and suggest that reducing cost is more effective and decreased inventory is less effective on lean manufacturing implementation. The current study results should assist quality mangers, product managers and director managers as well as academicians. Originality/value An investigation was carried out in this study based on the current situation of Iran’s manufacturing industry to empirically examine and evaluate the effect of lean practices and tools. Besides, a very limited number of studies have been done regarding the implementation of lean thinking and practices in Iran’s manufacturing industry.


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