Decision Support System for Sustainable Supplier Selection PDF Download

Author: 香巧兒
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 0

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Author: Hau-Yi Janiz Heung
Publisher: Open Dissertation Press
ISBN: 9781361382783
Category :
Languages : en
Pages :

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Book Description
This dissertation, "Decision Support System for Sustainable Supplier Selection: a Case Study of the Trading Industry in Hong Kong" by Hau-yi, Janiz, Heung, 香巧兒, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: The issue of business sustainability has drawn many concerns throughout the last few decades. Several international conventions and agreements related to sustainable development have been signed. Many countries including the European Union, the USA, and Japan, have enacted laws and regulations to ensure eco-friendly products and production. Issues in sustainable supply chain management (SSCM) have drawn attention from industries and academic communities worldwide. Much research and effort has been focused on the implementation of and conformance to environmental and corporate social responsibility requirements throughout the supply chain. The practice is still in its early stage in today's real-life business environments in many countries and regions of the world. In Hong Kong, many companies are still unaware of this global trend and requirements. This thesis presents a complete sustainable supplier selection approach for the trading industry in Hong Kong. It is designed to assist the industry practitioners in carrying out strategic sourcing while promoting the sustainable procurement to the industry. The decision support system comprises three main elements, namely, (1) formulation of sustainable supplier selection criteria, (2) pre-qualification of potential suppliers by distance from target measuring approach, and (3) final choice of qualified suppliers by fuzzy AHP. Market analysis by theoretic approach and sample interviews were done in this study to understand the gap between academic and industry sides. In accordance with the Triple Bottom Line principle of sustainability, a general rule of criteria establishment and a set of sustainable supplier selection criteria specifically for the trading industry have been derived in the first phase of the proposed decision support system. The criteria defined are in four categories, that is, profitability, suppliers' service commitment, relationship/ co-operation, and management and organization. The criteria set has incorporated all classic and important criteria from literature, unique features of the industry, suppliers' overall characteristics and sustainability considerations. For the methodology of the selection model, decision-making is based on a two-stage hybrid approach (phases two and three in the system). The pre-qualifications stage involves the distance from target measuring approach for filtering those supplier offers that fail to meet customers' requirements. In the final selection stage, the fuzzy AHP model is implemented for the final evaluation and selection of suppliers on both qualitative and quantitative criteria. Case examples have been performed to validate the functionality of the proposed model with different scenario studies, for example, trading firms with different product categories, and changing business focus like different levels of sustainability considerations. Subjects: Business logistics - China - Hong Kong

Author: Zhe Sun
Publisher: Open Dissertation Press
ISBN: 9781361334614
Category :
Languages : en
Pages :

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This dissertation, "Decision Support System for Evaluating Strategic Suppliers in Sustainable Supply Chain" by Zhe, Sun, 孙哲, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: As a crucial factor for forming a competitive supply chain, the supplier selection problem has gained a lot of attentions from both researchers and practitioners. To fulfil the increasingly stringent environmental regulations and meet the NGOs' and customers' call for environmental conscious and socially responsible business, companies find it necessary to incorporate environmental and social dimensions in the supplier selection process. This thesis presents a supplier selection-model incorporating the sustainability issues. Firstly, a comprehensive set of sustainable supplier selection criteria are identified. Then, a hybrid multi-criteria decision making (MCDM) model comprising the fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and the two-level DEA (Data Envelopment Analysis) algorithms is developed to screen out less qualified suppliers. To begin with, twenty one supplier selection criteria are defined in the categories of economic performance, environmental impacts, and corporate social responsibility (CSR) impacts. The criteria were identified from literature review and a small-scale consultation with industrial practitioners. Regarding the economic criteria, quality, delivery, production capacity, cost, technical capability, financial position, management & organization and reputation are the more important aspects. For environmental impacts, most frequently adopted criteria are targeted at measuring supplier's current environmental performances, i.e. negative impacts of products and production process on the environment. For CSR impacts, labour, health and safety criteria are received the most attention. A hybrid supplier pre-selection model consists of the fuzzy TOPSIS and the two-level DEA is implemented to shortlist suppliers. The fuzzy TOPSIS is used to measure the supplier's outcome based performance, while the two-level DEA is used to measure the supplier's efficiency, that is, how efficiently the supplier uses various resources to achieve that level of performance. With the combination of the performance score and the efficiency score, suppliers are grouped in to four clusters, that is, high performance and efficient (HE), high performance and inefficient (HI), low performance and efficient (LE) and low performance and inefficient (LI). Improvement targets for suppliers in HI, LE and LI clusters are identified. In general, conventional DEA is deficient in the discriminating power when there are a large number of criteria. The two-level DEA is established in this thesis to enhance the discriminating power of the standard DEA. In the two-level DEA, the supplier selection criteria for the same aspect are grouped together and form the hierarchical structure composes of two levels. Thereby, the two-level DEA model is able to handle quite a large number of input and output criteria. A case study has been conducted in the context of automobile industry to validate the feasibility and usefulness of the proposed methodology. The results indicate that the proposed methodology is able to screen out less qualified suppliers considering a comprehensive set of sustainability criteria. DOI: 10.5353/th_b5177346 Subjects: Business logistics

Author: Numan M. Durakbasa
Publisher: Springer Nature
ISBN: 3030904210
Category : Technology & Engineering
Languages : en
Pages : 893

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This book contains selected papers from International Symposium for Production Research 2021, held on October 7–9, 2021, online, Turkey. The book reports recent advances in production engineering and operations. It explores topics including production research; production management; operations management; industry 4.0; industrial engineering; mechanical engineering; engineering management; and operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.

Author: Fatima Dargam
Publisher: Springer
ISBN: 3319903152
Category : Computers
Languages : en
Pages : 200

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This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems’ technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.

Author: Muhammet Deveci
Publisher: Elsevier
ISBN: 0443235988
Category : Computers
Languages : en
Pages : 286

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Book Description
Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance. - Provides a broad overview of emerging trends and technologies in decision support systems applications - Investigates recent trends and core concepts in digital technology transformation as applied to the circular economy and sustainable development - Analyzes the application of decision support systems models across a range of case studies and processes which rely on multi-criteria decision-making and have been designed specifically to improve overall sustainability

Author: Med Salim Bouhlel
Publisher: Springer
ISBN: 3030210057
Category : Technology & Engineering
Languages : en
Pages : 513

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This two-volume book presents an unusually diverse selection of research papers, covering all major topics in the fields of information and communication technologies and related sciences. It provides a wide-angle snapshot of current themes in information and power engineering, pursuing a cross-disciplinary approach to do so. The book gathers revised contributions that were presented at the 2018 International Conference: Sciences of Electronics, Technologies of Information and Telecommunication (SETIT'18), held on 20–22 December 2018 in Hammamet, Tunisia. This eighth installment of the event attracted a wealth of submissions, and the papers presented here were selected by a committee of experts and underwent additional, painstaking revision. Topics covered include: · Information Processing · Human-Machine Interaction · Computer Science · Telecommunications and Networks · Signal Processing · Electronics · Image and Video This broad-scoped approach is becoming increasingly popular in scientific publishing. Its aim is to encourage scholars and professionals to overcome disciplinary barriers, as demanded by current trends in the industry and in the consumer market, which are rapidly leading toward a convergence of data-driven applications, computation, telecommunication, and energy awareness. Given its coverage, the book will benefit graduate students, researchers and practitioners who need to keep up with the latest technological advances.

Author: Gregory E. Kersten
Publisher: Springer Science & Business Media
ISBN: 0306475421
Category : Business & Economics
Languages : en
Pages : 423

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In recent years, much work has been done in formulating and clarifying the concept of sustainable development and related theoretical and research issues. Now, the challenge has shifted to designing and stimulating processes of effective planning and decision-making, at all levels of human activity, in such a way as to achieve local and global sustainable development. Information technology can help a great deal in achieving sustainable development by providing well-designed and useful tools for decision makers. One such tool is the decision support system, or DSS. This book explores the area of DSS in the context of sustainable development. As DSS is a very new technique, especially in the developing world, this book will serve as a reference text, primarily for managers, government officials, and information professionals in developing countries. It covers the concept of sustainable development, defines DSS and how it can be used in the planning and management of sustainable development, and examines the state of the art in DSS use. Other interested readers will include students, teachers, and analysts in information sciences; DSS designers, developers, and implementors; and international development agencies.

Author: Ana Paula Cabral Seixas Costa
Publisher: Springer Nature
ISBN: 3031065301
Category : Computers
Languages : en
Pages : 214

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Book Description
This book constitutes the proceedings of the 8th International Conference on Decision Support Systems Technologies, ICDSST 2022, held during May 23-25, 2022. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 15 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: decision support addressing modern industry; decision support addressing business and societal needs, and multiple criteria approaches.

Author: Shaofeng Liu
Publisher: Springer
ISBN: 3319328778
Category : Computers
Languages : en
Pages : 228

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Book Description
This book constitutes the refereed proceedings of the Second International Conference on Decision Support Systems Technology, ICDSST 2016, held in Plymouth, UK, May 23-25. The theme of the event was “Decision Support Systems Addressing Sustainability & Societal Challenges”, organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS). The 15 full papers presented in this book were selected out of 51 submissions after being carefully reviewed by internationally experts from the ICDSST 2016 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in various areas of decision support systems, such as sustainability and societal challenges; risk management and project portfolio management; business intelligence and knowledge management; and technologies to improve system usability.