Journal ArticleDOI
A heuristic procedure for the two-level control of serial supply chains under fuzzy customer demand
TLDR
A new hierarchical, two-level approach to inventory management and control in supply chains (SCs) is presented, which operates under uncertainty in customer demand, which is described by imprecise terms and modelled by fuzzy sets.About:
This article is published in International Journal of Production Economics.The article was published on 2006-07-01. It has received 80 citations till now. The article focuses on the topics: Inventory control & Supply chain.read more
Citations
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Journal ArticleDOI
Quantitative models for supply chain planning under uncertainty: a review
TL;DR: A review of the literature related to supply chain planning methods under uncertainty is presented in this paper, where the main objective is to provide the reader with a starting point for modelling supply chain under uncertainty applying quantitative approaches.
Journal ArticleDOI
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
TL;DR: A fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties, formulated as a fuzzy mixed-integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers is proposed.
Journal ArticleDOI
Collaborative production–distribution planning in supply chain: A fuzzy goal programming approach
TL;DR: Computational results support the assertion that fuzzy goal programming approaches can effectively be used in handling the collaborative production-distribution planning problems in different supply chain structures.
Journal ArticleDOI
Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain
TL;DR: The proposed FMOLP model provides a systematic framework that facilitates fuzzy decision-making process, enabling the decision maker (DM) to interactively adjust the search direction during the solution procedure to obtain a DM's preferred satisfactory solution.
Journal ArticleDOI
A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment
TL;DR: The fuzzy model provides the decision maker (DM) with alternative decision plans with different degrees of satisfaction to centralize multi-node decisions simultaneously to achieve the best use of the available resources along the time horizon so that customer demands are met at a minimum cost.
References
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Book
Fuzzy Set Theory - and Its Applications
TL;DR: The book updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
Book
Fuzzy Logic with Engineering Applications
TL;DR: This chapter discusses Fuzzy Systems Simulation, specifically the development of Membership Functions and the Extension Principle, and some of the methods used to derive these functions.
Book
Supply Chain Management: Strategy, Planning and Operations
Sunil Chopra,Peter Meindl +1 more
TL;DR: In this paper, the authors present a framework to analyze the supply chain performance and predict demand and supply in an e-commerce e-business environment, and discuss the role of cross-functional drivers in the process.
Journal ArticleDOI
Coordinated supply chain management
TL;DR: In this paper, the authors review the literature addressing coordinated planning between two or more stages of the supply chain, placing particular emphasis on models that would lend themselves to a total supply chain model.
BookDOI
An introduction to fuzzy sets : analysis and design
Witold Pedrycz,Fernando Gomide +1 more
TL;DR: Part 1 Fundamentals of fuzzy sets: basic notions and concepts of fuzzy Set Theory, types of membership functions, characteristics of a fuzzy set, basic relationships between fuzzy sets, and problem solving with fuzzy sets.