Author: Hamza Qadeer KhokharPublisher:
ISBN:
Category :
Languages : en
Pages : 228
Book Description
Decision Support System for Measuring the Impact of Plant Location Factors and Uncertainty in Supply Chain
Author: Hamza Qadeer KhokharPublisher:
ISBN:
Category :
Languages : en
Pages : 228
Book Description
Evaluation of Supply Chain Performance
Author: Liliana Avelar-SosaPublisher: Springer
ISBN: 3319938762
Category : Technology & Engineering
Languages : en
Pages : 432
Book Description
This book provides some regional aspects considered by manufacturing firms in their decisions to gain competitiveness and have effects on the performance of their supply chains (SC). Some of the main aspects considered are: government's policies, fixed costs, the availability and quality of infrastructure services. This book also discusses the risks for the SC; based on a perception approach, some aspects studied are: demand, suppliers and production processes and how these are related to other elements of the SC. The authors use structural modeling to analyze the evaluation of some manufacturing practices and their impact on customer service satisfaction, agility and flexibility of the SC. The context of this study is immersed in the Mexican manufacturing industry of exportation, also known as maquiladora industry of Ciudad Juarez, México. This borderland is among the top 10 manufacturing Mexican cities. World class industries are located in this region and have been recognized around the world for their competitiveness and high performance. Therefore, the methods and results exposed in this book may be valuable and useful for readers and researchers of the SC worldwide.
Decision Support System for Evaluating Strategic Suppliers in Sustainable Supply Chain
Author: Zhe SunPublisher: Open Dissertation Press
ISBN: 9781361334614
Category :
Languages : en
Pages :
Book Description
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
A Framework for Managing Uncertainty Using Decision Support System in a Closed-loop Supply Chain Business Environment
Author: Chanchal SahaPublisher:
ISBN: 9781339428734
Category : Business logistics
Languages : en
Pages : 434
Book Description
Developing a Decision Support System for a Supply Chain Node
Author: Can OrhanSuccessful Implementation of Decision Support Systems for Supply Chain Management Within Manufacturing Companies
Author: Robert Joyce (K.)Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 220
Book Description
Model-based Decision Support System for Supply Chain Analysis
Author: Subhashini GanapathyPublisher:
ISBN:
Category :
Languages : en
Pages : 180
Book Description
A Multi-agent Decision Support System for Supply Chain Management
Author: Yevgeniya KovalchukSimulation Based Decision Support Systems in the Supply Chain Context
Author: Per HilletofthPublisher:
ISBN: 9781786353207
Category : Business logistics
Languages : en
Pages : 141
Book Description
Green Supplier Evaluation and Selection: Models, Methods and Applications
Author: Hu-Chen LiuPublisher: Springer Nature
ISBN: 9811603820
Category : Business & Economics
Languages : en
Pages : 366
Book Description
This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students.