544 research outputs found
Lot production size problem and simulation of urban transport
OBJECTIVES AND STUDY METHOD: There are two subjects in this thesis: âLot production size for a parallel machine scheduling problem with auxiliary equipmentâ and âBus holding for a simulated traffic networkâ. Although these two themes seem unrelated, the main idea is the optimization of complex systems. The âLot production size for a parallel machine scheduling problem with auxiliary equipmentâ deals with a manufacturing setting where sets of pieces form finished products. The aim is to maximize the profit of the finished products. Each piece may be processed in more than one mold. Molds must be mounted on machines with their corresponding installation setup times. The key point of our methodology is to solve the single period lot-sizing decisions for the finished products together with the piece-mold and the mold-machine assignments, relaxing the constraint that a single mold may not be used in two machines at the same time. For the âBus holding for a simulated traffic networkâ we deal with One of the most annoying problems in urban bus operations is bus bunching, which happens when two or more buses arrive at a stop nose to tail. Bus bunching reflects an unreliable service that affects transit operations by increasing passenger-waiting times. This work proposes a linear mathematical programming model that establishes bus holding times at certain stops along a transit corridor to avoid bus bunching. Our approach needs real-time input, so we simulate a transit corridor and apply our mathematical model to the data generated. Thus, the inherent variability of a transit system is considered by the simulation, while the optimization model takes into account the key variables and constraints of the bus operation. CONTRIBUTIONS AND CONCLUSIONS: For the âLot production size for a parallel machine scheduling problem with auxiliary equipmentâ the relaxation we propose able to find solutions more efficiently, moreover our experimental results show that most of the solutions verify that molds are non-overlapping even if they are installed on several machines. We propose an exact integer linear programming, a Relax&Fix heuristic, and a multistart greedy algorithm to solve this problem. Experimental results on instances based on real-world data show the efficiency of our approaches. The mathematical model and the algorithm for the lot production size problem, showed in this research, can be used for production planners to help in the scheduling of the manufacturing. For the âBus holding for a simulated traffic networkâ most of the literature considers quadratic models that minimize passenger-waiting times, but they are harder to solve and therefore difficult to operate by real-time systems. On the other hand, our methodology reduces passenger-waiting times efficiently given our linear programming model, with the characteristic of applying control intervals just every 5 minutes
Management, Technology and Learning for Individuals, Organisations and Society in Turbulent Environments
This book presents the collection of fifty two papers which were presented on the First International Conference on BUSINESS SUSTAINABILITY â08 - Management, Technology and Learning for Individuals, Organisations and Society in Turbulent Environments, held in Ofir, Portugal, from 25th to 27th of June, 2008. The main motive of the meeting was the growing awareness of the importance of the sustainability issue. This importance had emerged from the growing uncertainty of the market behaviour that leads to the characterization of the market, i.e. environment, as turbulent. Actually, the characterization of the environment as uncertain and turbulent reflects the fact that the traditional technocratic and/or socio-technical approaches cannot effectively and efficiently lead with the present situation. In other words, the rise of the sustainability issue means the quest for new instruments to deal with uncertainty and/or turbulence.
The sustainability issue has a complex nature and solutions are sought in a wide range of domains and instruments to achieve and manage it. The domains range from environmental sustainability (referring to natural environment) through organisational and business sustainability towards social sustainability. Concerning the instruments for sustainability, they range from traditional engineering and management methodologies towards âsoftâ instruments such as knowledge, learning, creativity. The papers in this book address virtually whole sustainability problems space in a greater or lesser extent. However, although the uncertainty and/or turbulence, or in other words the dynamic properties, come from coupling of management, technology, learning, individuals, organisations and society, meaning that everything is at the same time effect and cause, we wanted to put the emphasis on business with the intention to address primarily the companies and their businesses.
From this reason, the main title of the book is âBusiness Sustainabilityâ but with the approach of coupling Management, Technology and Learning for individuals, organisations and society in Turbulent Environments.
Concerning the First International Conference on BUSINESS SUSTAINABILITY, its particularity was that it had served primarily as a learning environment in which the papers published in this book were the ground for further individual and collective growth in understanding and perception of sustainability and capacity for building new instruments for business sustainability. In that respect, the methodology of the conference work was basically dialogical, meaning promoting dialog on the papers, but also including formal paper presentations. In this way, the conference presented a rich space for satisfying different authorsâ and participantsâ needs. Additionally, promoting the widest and global learning environment and participativeness, the Conference Organisation provided the broadcasting over Internet of the Conference sessions, dialogical and formal presentations, for all authorsâ and participantsâ institutions, as an innovative Conference feature.
In these terms, this book could also be understood as a complementary instrument to the Conference authorsâ and participantsâ, but also to the wider readershipsâ interested in the sustainability issues.
The book brought together 97 authors from 10 countries, namely from Australia, Finland, France, Germany, Ireland, Portugal, Russia, Serbia, Sweden and United Kingdom. The authors ârangedâ from senior and renowned scientists to young researchers providing a rich and learning environment.
At the end, the editors hope and would like that this book will be useful, meeting the expectation of the authors and wider readership and serving for enhancing the individual and collective learning, and to incentive further scientific development and creation of new papers.
Also, the editors would use this opportunity to announce the intention to continue with new editions of the conference and subsequent editions of accompanying books on the subject of BUSINESS SUSTAINABILITY, the second of which is planned for year 2011.info:eu-repo/semantics/publishedVersio
Industry/University Collaboration at the University of Michigan-Dearborn: A Focus on Relevant Technology
https://deepblue.lib.umich.edu/bitstream/2027.42/154104/1/kampfner1996.pd
Supply chain models for an assembly system with preprocessing of raw materials
An assembly line that procures raw materials from outside suppliers and processes the materials into finished products is considered in this research. An ordering policy is proposed for raw materials to meet the requirement of a production facility, which, in turn, must deliver finish products in a fixed quantity at a fixed time interval to the outside buyers. Two different types of raw materials, âunfinishedâ and âready-to-useâ, are procured for the manufacturing system. The âunfinished raw materialsâ are turned into âprocessed raw materialsâ after preprocessing. In the assembly line, the âprocessed raw materialsâ and the âready raw materialsâ are assembled to convert into the final products. A cost model is developed to aggregate the total costs of raw materials, Work-in-process, and finished goods inventory. Based on the product design and manufacturing requirement a relationship is established between the raw materials and the finished products at different stages of production. A non-linear integer-programming model is developed to determine the optimal ordering policies for procurement of raw materials, and shipment of assembly product, which ultimately minimize the total costs of the model. Numerical examples are presented to demonstrate the solution technique. Sensitivity analysis is performed to show the effects of the parameters on the total cost model. Future research direction is suggested for further improvement of the existing results
7th INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ENGINEERING - SIE 2018, PROCEEDINGS
editors Vesna SpasojeviÄ-BrkiÄ, Mirjana Misita, Dragan D. Milanovi
7th INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ENGINEERING - SIE 2018, PROCEEDINGS
editors Vesna SpasojeviÄ-BrkiÄ, Mirjana Misita, Dragan D. Milanovi
Artificial intelligence in operations management and supply chain management : an exploratory case study
With the development and evolution of information technology, competition has become more and more intensive on a global scale. Many companies have forecast that the future of operation and supply chain management (SCM) may change dramatically, from planning, scheduling, optimisation, to transportation, with the presence of artificial intelligence (AI). People will be more and more interested in machine learning, AI, and other intelligent technologies, in terms of SCM. Within this context, this particular research study provides an overview of the concept of AI and SCM. It then focuses on timely and critical analysis of AI-driven supply chain research and applications. In this exploratory research, the emerging AI-based business models of different case companies are analysed. Their relevant AI solutions and related values to companies are also evaluated. As a result, this research identifies several areas of value creation for the application of AI in the supply chain. It also proposes an approach to designing business models for AI supply chain applications.© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited.fi=vertaisarvioitu|en=peerReviewed
Design for additive manufacturing: Trends, opportunities, considerations, and constraints
The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry
Design for additive manufacturing: trends, opportunities, considerations, and constraints
© 2016 CIRP. The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry
The doctoral research abstracts. Vol:11 2017 / Institute of Graduate Studies, UiTM
Foreword:
Congratulation to IGS on the continuous effort to publish the 11th issue of the Doctoral Research
Abstracts which highlights the research in various disciplines from science and technology, business
and administration to social science and humanities. This research abstract issue features the abstracts
from 91 PhD doctorates who will receive their scrolls in this 86th UiTM momentous convocation
ceremony. This is a special year for the Institute of Graduate Studies where we are celebrating our
20th anniversary. The 20th anniversary is celebrated with pride with an increase in the number of PhD
graduates.
In this 86th convocation, the number of PhD graduates has increased by 30%
compared to the previous convocation. Each research produces an innovation
and this year, 91 research innovations have been successfully recognized to have
made contributions to the body of knowledge. This is in line with this year UiTM
theme that is âInovasi Melonjak Persaingan Global (Innovation Soars Global
Competition)â.
Embarking on PhD research may not have been an easy decision for many of
you. It often comes at a point in life when the decision to further oneâs studies
is challenged by the comfort of status quo. I would like it to be known that you
have most certainly done UiTM proud by journeying through the scholarly
world with its endless challenges and obstacles, and by persevering right
till the very end.
Again, congratulations to all PhD graduates. As you leave the university
as alumni we hope a new relationship will be fostered between you
and UiTM to ensure UiTM soars to greater heights. I wish you all the
best in your future endeavor. Keep UiTM close to your heart and be
our ambassadors wherever you go. / Prof Emeritus Datoâ Dr Hassan Said
Vice Chancellor
Universiti Teknologi MAR
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